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DHIS2 User Manual

1. 230 PMTCT HIV Vipingo Health Centre December 2010 ANC clients issued with Preventive ARVs 4 0 gt 50 ANC tested positives ves i 3 4 Std Dev Outlier Analysis You can access Outlier analysis from the Services gt Data Quality menu The standard deviation based outlier analysis provides a mechanism for revealing values that are numerically distant from the rest of the data Outliers can occur by chance but they often indicate a measurement error or a heavy tailed distribution leading to very high numbers In the former case one wishes to discard them while in the latter case one should be cautios in using tools or interpretations that assume a normal distribution The analysis is based on the standard normal distribution Select what data to analyse First select the from and to date for the data to include in the analysis Second select the data set from which to pick data elements from Third select all or some of the data elements in the data set by double clicking or marking them and clicking the add remove buttons Fourth select the parent organisation unit to use All children of the organisation unit will be included Fifth select the number of standard deviations This refers to the number of standard devations the data is allowed to deviate from the mean before it is classified as an outlier Using Data Quality functionality Validation Rule Validation Rule Validation Rule Group Data Analysis Validat
2. Follow Up Analysis ajaja Method Get updated aggregated data E Kenya E Central E Coast E Kilifi County Kaloleni Kilifi E Malindi Kwale County E Lamu County Mombasa County Taita Taveta County Tana River County Eastern E Nairobi El NorthEastern E Nyanza E Rift Valley Western Validation results The analysis process will run for a while depending on the amount of data that is being analysed If there were no violations of the validation rules a message saying validation passed successfully is displayed If validation violations were found they will be presented in a list The organisation unit period left side description and value operator and right side value and description for each validation violation are displayed The show details icon can be clicked in order to get more information about a validation violation This will open a popup screen that provides information about the data elements included in the validation rules and their corresponding data values This information can be used in order to fix incorrect data The validation violations can be exported to a PDF document by clicking on the Download as PDF button and to a Microsoft Excel workbook by clicking on the Download as Excel button Using Data Quality functionality Inf Std Dev Outlier Analysis Kenya HIS Maintenance Services Run validation Y Validation violations Start date 2010 10 01 End date 2010 12 31 Organisation u
3. test rate maternity by e Ka gt x Immunisation cumulative coverage chart El province gt Life cycle Immunisation overview m FIC Coverage Malaria incidence confirmed OPD top 10 new cases Total Es re EEEE TEE FOR iew Measles lt ly coverage Dsl E Maternity HIV Rate aid g ya Safe delivery overview 6 Measles lt 1y coverage OPD utilisation visits per cap per year by prov 2010 PMTCT by province 2010 TB Case Finding Underweight Attending CW SS a 9 WRA Receiving FP gt commodies SS m BCG Coverage M DPT 3 Coverage u Measles coverage u Measles coverage FIC Coverage Trend Measles coverage 5 8 Using reporting rate summary Access the reporting rate summary from the Services gt Reports menu Reporting rate summaries will show how many datasets forms that have been submitted by organisation unit and period You an use one of three different methods to calculate completeness 1 based on complete button in data entry 2 based on a set of defined compulsory data elements or 3 based on the total registered data values for a dataset To run the report do the following Select an orgunit from the tree Select one of the completeness methods Select all or one dataset All will give you a report with all datasets for the seelcted orgunit One dataset will give you a report with completeness for all the children of the selected orgunit Select a period type and a period from the lis
4. 13 100 cme in and outor the apple cu Es eine ia l 14 Navigatine the applicat oieee ee eier l 1 4 1 Ihe top menu access tothe module encata 2 1 4 2 N ave atom inside modules a ea A A AA E A A 2 NA en ee ee A 3 2 1 AeA OD ECU ES A AA rennen se 3 De Data entry A A E N unerlane A 3 22 Ve SeleCting the Gala ently AO oseese a a a a a a aa aaa 3 222 EEN da as een A A ET A 4 22 3 Y adan data TM the OMA A E O 5 PR A A ESTER HEURUENS UNTEREN EURSENER 5 JUs mS Data Quality Mec WOM all ee Feen asa 7 Sl Overview 01 data quality checks a DE ee ea 7 32 Datz quali ches enter E 7 3 3 Ruano Validation Rule Analyse anne main 7i AAA a aa A II a 9 39 Min Max Other Analysis ui 10 3 62 Gap Amal YSIS wanes eat en ne ae I in A 11 3 7 E0110wW UPANA SIS ra NA AA 11 4 Introduction to MCI CALORS A A A AAA AAA A At E 13 AAs Dira Me ALORS ae ne see 13 AL Indicator POS Seesen ee nie 15 Ja Usine TE DOTLINS Tunclonaliy ar rer Denen io tadas olas de ociosos 17 Sle Reporting functionality in DHIS 2 ne hessen es erfinden ee essen 17 32 UU SIS Standard Epoca ll ernennen 18 3 95 USING Ae POr LADIES ae ne A ee 18 54 Usmo dase reports a hessen lees did cala 19 Dy USING TESOUICES Ni acts 20 3 02 sms data Visualizer an esse ea ee era essen due 20 5 el 1nS thendashboatd assessment 20 3 8 Using reporting Tale SUIMMALY lia ts e Id Ata Gere 22 5 9 Using organisation unit distribution reports essesessesessessseessnenenennnnnnnnenene
5. 8 gt o gt a gt gt D Dn se SSF se Sy SS O Bo e Bombali Bonthe Kailahun Kambia Pe gt y Child abuse rose during recession research says Mon Kenema e Koinadugu Kono Moyamba 19 Sep 2011 10 53 04 GMT e Pon Loko e Pujehun e Tonkolili ANC Dropout Rate Health Tip How to Spot Underage Drinking Mon 19 BCG coverage lt 1 A Sep 2011 11 04 34 GMT In this screen shot the dashboard has already been populated with a number of reports and mapviews Simply clicking on one of the blue links will bring you automatically to the report or map view Clicking on one of the charts will display a larger chart which you can save as an image and include in a report or other document You can redefine the structure of the dashboard by clearing the each of the windows by clicking the Clear link By clicking Insert again you can then select a new chart to appear in the window All reports documents report tables and charts can be added to the list of available options by clicking on the Add to dashboard icon in each of the respective modules Please refer to the sections to each of the sections in this manual for more detailed instructions Once you have added the object to the list of available objects you can Insert 1t on the dashboard Note Dashboard are configured for each individual user 37 Dashboards Messages and feedback 8 2 Messages and feedback 38 DHIS2 has certain functions to facilita
6. RSS Health feed The left side zone denoted as B in the screen shot can be used to contain up to six separate charts which have been previously created in the charting reporting module Dashboard Write feedback A B insert Close Clear sert Close Clear nsert Close Clear ANC IPT 1 and 2 Coverage ANC IPT 1 and 2 Coverage Reports Sierra Leone Sierra Leone Documents Report tables Map views RSS Health Insert Close Clear Q 8 8 S 8 8 amp S 8 gt NEN gt a gt o gt Ar a qa ad 8 S 2 2 8 Q 8 8 8 8 8 8 18 8 9 8 gt S gt gt SS gt gt a a gt gt gt SS gt Ay SS y gt D A e A a ri 4 Y d d d X Y Y q Y 1eWS aS ES O RR SS a gt Map view PART Se Y ES ASS N amp 4 A at o 3 IA e A gh 4 SS SEES S ES aS amp S o D Ca N a amp e E e e ES Pe Sgt ANC 1st visit Facility gt E oo ze ANC 3 District 2010 ANC_IPT1Coverage ANC_IPT 2 Coverage ANC_IPT1Coverage ANC_IPT 2 Coverage Diarrhoea Chiefdom 2010 PRES un m _ i De sert Close Clear sert Close Clear Diarrhoea District 2010 BCG Coverage ANC dropout national _ Sierra Leone Skilled deliveries Chiefdom 2010 Skilled deliveries Districts 2010 Insert Close Clear RSS Health Target Line African children face life without healthcare repon Mon 19 Sep 2011 12 11 11 GMT Scuba Diving May Help Paralyzed Vets Mon 19 Sep 2011 11 04 36 GMT S 8 8 8 8 8
7. Reports and click on Standard reports From the list of standard reports you locate the reports you want and click on the pie chart icon next to each of the reports you want to add to the dashboard When you go back to the dashboard you will see the three reports listed in the shortcut area where you inserted Reports Use the Clear link above the shortcut area to empty an area The Close link closes the insert menu without inserting a new object type Customise chart areas There are four chart areas To insert a chart simply click on insert and click on one of the charts in the list Use Close to close the list without adding a new chart and use Clear to empty a chart area These charts will be updated every time you open the dashboard will automatically show data for the orgunit assigned to the current user and will update the data when new periods are available 21 Using reporting functionality Using reporting rate summary Kenya HIS Maintenance Services Log out Dashboard Insert Close Clear Insert Close Clear Map views Fully immunised lt 1 year coverage ANC Utilization province ANCA Coast Es 2010 BCG lt 1y Coverage Trend Fully Immunised Coast E 30 Family Planning Attendance 25 FP Province Chart 2010 20 Fully immunised lt 1 year in coverage province 10 HIV test rate maternity a es Class Clan HIV Testing and prov of HIV o intervention to TB patient s A e e P e e Reports ei HIV
8. Y J Nyanza la i Ngorongoro 3 Rift Valley ea Arusha B I Westem Shinyanga Y 1 ame sd Tabora River Update NN Zanzibar LON 44 33684 LAT 4 14840 Google The two thematic layer panels let you use your data for thematic mapping All you need to do is selecting your desired combination of indicator dataelement period and map combination Then the organisation unit level and parent to define the boundaries If your database has coordinates and aggregated data values for these organisation units they will appear on the map Note that the DHIS2 data mart must be run in order to have aggregated values available You may choose between legend types automatic and predefined Automatic means that the application will create a legend set for you based on your what method number of classes low color and high color you select Method alludes to the size of the legend classes Set to Equal intervals they will be highest map value lowest map value number of classes Set to Equal group count the legend creator will try to distribute the organisation units evenly The legend will appear as an even gradation from the start color to the end color Predefined legend sets are described in Section 7 3 2 Create predefined legend sets Low radius and high radius only have effect on points facilities and decides the the circle radius for points with the lowest and highest value Thematic layer 1 and 2 menu have a Filter o
9. dhis2 server Whereas you will probably only adjust the settings when creating a new datamart you will be doing regular synching of your local datamart with the online server If data is being downloaded once a month then the incremental size of each download will be small You can get to the data download screen either by pressing the Je button or by navigating to the Datamart gt Update Aggregate Data menu item Figure 9 5 Downloading data shows the datamart update screen You can set the detailed options for your download here There is not much to be done as the defaults should match your typical operations Ms 4 DHIS D File DataMart Reports Help e 4 Aggregated datavalues Period type Count Earliest Latest Update Progress Weekly 0 a a Ee Update from remote dhis From Jan v 2011 v To May y 2011 v Download Facility data for Nyeri North Monthly 156 201101 201105 y Quarterly 72 2011Q1 2011Q2 v Download District data from peers Yearly 0 Aggregated indicator values Period type Count Earliest Latest Update Progress Weekly 0 Monthly 1135 201101 201105 Y Quarterly 454 2011Q1 201102 Y Yearly 0 Download finished Figure 9 5 Downloading data On the left hand side there are check boxes which you should set to indicate whether you need data weekly monthly quarterly or yearly you can select more than one These are independently
10. e Type This field will determine a factor that will automatically be applied during the calculation of the indicator Possible choices are determined by the Indicator Types described below For instance a Percent indicator will automatically be multiplied by a factor of 100 when aggregated so that 1t will display as a percentage e URL Can be used as a link to an indicator registry where a full metadata description of the indicator can be made available To define the numerator and denominator simply press the respective button and the following dialogue will be displayed Introduction to indicators Indicator types In District Health Information Software 2 Maintenance Services Edit numerator x Description Aggregation operator sum Average Formula Data elements Filter by name OIL LL Description Essentially an indicator is a formula that can be composed of multiple data element constant factors and mathematical operators In order to define a new indicator proceed with the following steps 1 Provide a description of the numerator in the Description field 2 Choose the aggregation operator either as a SUM or AVERAGE 3 Define the formula of the indicator by selecting the data elements that should compose the numerator from the Data elements list Simply double click on a data element and it will appear in the formula The formula must be mathematically valid including the proper use
11. i Period ART monthly summary HBargbe EPI Stock z HHBargbo HIV Peadiatric monthly summary Bumpe Ngao 3 Mortality lt 5 years BLGbo 7 PHUF 1 Morbidity i PHUF 2 Children s preventive services Jaiama Bongor PHUF 3 Reproductive health services Kakua PHUF 4 Report on stocks PHU 7 PHUF 5 Monality EHHKomboya T y PHUF 6 Staffing Hugbu PMTCT monthly summary HHNiawa Lenga TB Facility reporting Form Selenga _TB HIV VCCT monthly summary Tikonko HYValunia Wonde Bombali HBonthe HKailahun HKambia E Data entry Entering data 2 2 2 Entering data Simply start entering data by clicking inside the first field and type in the value Move to the next field using the Tab button Shift Tab will take you back one step The values are saved immediately and do not require any save finished button click A green field indicates that the value has been saved in the system on the server On a slow connection it might take some time before the values are saved Input validation If you type in an invalid value e g a character in a field that only accepts numeric values you will get a pop up that explains the problem and the field will be coloured yellow not saved until you have corrected the value If you have defined a min max range for the field data element organisation unit combination a pop up message will notify you when the value is out of range and the value will remain unsaved until you have changed
12. menu is Close This completely resets the layer content the edit layer form and the legend panel Using GIS Thematic layer and 2 7 2 2 Thematic layer 1 and 2 O B EA Favorites gt Legend Downoad Share Exit gt gt gt Layer overview and visibility manere ee i Zu e 7 A D a Bale Mountains Qa 0 iF A lo Thematic 1 layer x Hawassa Mona Park 3 Google Streets 100 gt Machi Y ds ul i Data options 2 Arba iff LJ 8 Google Hybrid ont Value type Indicator v Bandingilo ba N _ Boundary layer National Park Y Thematic so 1 Indicator group Antenatal v Nati ngl Park 7 Jo Eger BE Yabelo Wildife 2777 O B Thematic 2 layer Indicator ANC 1st Visit Coverage v N NN Stephanie Sanctuary AN cee EX Facility layer Period type Yearly v lt gt mae Kidepo Game 2 7 r Period 2012 v Reserve A _ Thematic layer 1 legend a Baidoa Legend options Gulu gt c S ANC 1st Visit Coverage 2012 Legend type Automatic NA pra S AS County Kenya Classes method 5 By class range Y q i 25 7 35 6 6 y 35 6 45 5 10 wcoorisze gt we ow color size 5 J u O po i 19 15 65 2 75 1 9 Organisation unit level parent dala Thematic layer 2 legend Y 4 Level County v Facility layer legend y 39 Kenya 3 I Central u Coast Serengeti East 3 Easter National Park 3 Nairobi L Mwanza a North Eastem x
13. not successful you will be notified that the username or password is incorrect and asked to re enter these credentials Once you have successfully logged in you will see the DHIS Dashboard where you can immediately monitor the latest data in your selected charts and access your favourite DHIS sites reports maps etc When you have finished your DHIS 2 session we recommend that you log out before closing the browser Use the log out link in the upper right corner and you will be returned to the log in screen In Username Password 1 4 Navigating the application The DHIS 2 has two menu systems the top menu which leads to the various modules and the left side menu inside most modules to navigate between features inside each module The DHIS 2 symbol in the top left corner is a fast link to the user defined start page the home page Often this is set to the dashboard module Getting started with DHIS 2 as end user The top menu access to the modules The logout button 1s on the far right of the top menu 1 4 1 The top menu access to the modules The DHIS consists of various modules major components which each have specific features such as data entry reporting dashboard You can access these modules from the top menu either under Maintenance or Services Maintenance is mostly used by system administrators that maintain the application and might not be visible Services 1s where you will find the more operational features
14. of parentheses when necessary Double click on each of the mathematical operator buttons below the indicator formula definition to add them to your formula Once you click outside the formula window the Description field below will be updated 4 Once you can see that the description field below the formula has been updated and you are done with your formula you can click the Save button to save all changes to the numerator Click Cancel to discard any changes that you have made 5 Follow the same procedure in order to define the denominator 4 2 Indicator types Indicator types define a factor e g 100 for percentages that will be applied during aggregation and makes sure the system calculated indicator values are pre formatted and need to further manipulation by the user to get percentages etc The indicator type maintenance panel has all of the same functions Add new Edit Translate Delete and Information as the Indicator maintenance section There are only two fields that need to be filled in to create an indicator type Name and Factor as seen below Name refers to the Indicator type e g Per cent Per thousand Per ten thousand etc The factor is the numeric factor that will be applied during the calculation of the indicator 15 Introduction to indicators Indicator types Inf District Health Information Software 2 Maintenance Services Create new indicator type 16 Using reporting functionality Repo
15. select fixed periods click on the Fixed periods header and select a period type from the combo box You can select any number of fixed periods from any period type You are free to combine fixed periods and relative periods in the same chart Overlapping periods will be filtered so that they only appear once 6 8 Selecting organisation units You can select which organisation units to include in the chart by clicking the Organisation units header This section features a tree including all organisatiton units in the system You can select any of the organisation units by clicking them If you want to select multiple arbitrary organisation units you can press the Ctrl button and then click away in the tree If you want to include all organisation units existing directly under a specific organisation unit the children of the parent organisation unit in other terms you can right click on the organisation unit and select Select all children You can also automatically select all organisation units n a particular organisation unit group Click the Group button on the far right of the toolbar above the tree and select a group in the drop down list This panel also features two checkboxes Checking User organisation unit will disable the organisation unit tree and give you the organisation unit that s related to the current logged in user instead This s also useful for administrators as they can create a meaningful system favorite with thi
16. you the opportunity of sharing it with other users as an interpretation or put it on the dashboard Legend Create you own legend sets to ensure meaningful maps Download Export the maps as a PNG image Share Share your favorites as map interpretations with other users In the top right corner of the map viewport you find four buttons Zoom in zoom out zoom to visible extent automatically adjusts the zoom level and map center position to focus on your map and measure distances The current longitude latitude position of the mouse cursor is displayed in the bottom right corner of the map viewport 7 2 Thematic mapping This section describes the four vector layers which the user has at his disposal for thematic mapping Boundary layer Thematic layer 1 Thematic layer 2 and Facility layer 31 Using GIS Boundary layer 7 2 1 Boundary layer 32 T a a Favorites Legendv Download Sharer Exit gt gt gt Layer overview and visibility 2 Zu u y q Bale Mountains 2 Boundary layer x AN 4 Hawassa AE National Park 3 Google Streets 100 gt achi in C U i fe o zZ y N zer Organisation unit level parent Arba Minch 8 Google Hybrid 1 E a FO w A Level Province v aes a a Y Boundary layer 100 7 i _ e ational Park we e E O Thematic 1 ayer J gS Kenya m Yabelo Wildlife E e 3 U Central ba Stephanie Sanctuary A r _ A Thematic 2 layer 3 U C
17. 0 province ANC1 Coast B En gt 010 Fully Immunised Coast Fl a2 ai 20 0 17 5 25 15 0 m 12 5 a 10 0 137 E 7 5 10 gt Eu 25 Insert Close Clear 0 0 ol ee ee ee S Suse ZN f S 2 a F u a o ai Reports EE FG e e PECES Ed E e Immunisation cumulative coverage chart Ea e al Life cycle B E Hlv test maternity E FIC Coverage OFD top 10 new cases Total E Insert Close Clear Insert Close Clear PMTCT Fl Immunisation overview Measles lt ly coverage Kenya Kenya Safe delivery overview cal Insert Close Clear Report tables u ECG Coverage MDPT 3 Coverage u Measles coverage u Measles coverage FIC Coverage ae Trend Measles coverage Customise shortcut areas Each of the three short cut areas can hold a list of items from one of the following objects Reports standard Documents Data mart exports Report tables Map views RSS Health To add a new object type to a shortcut area click on the Insert link just above the area Then to populate the list you need to add items one by one from the Services gt Reports menus From the various lists of reports report tables charts etc you can add an item by clicking on the pie chart icon next to the item you want to add to the dashboard E g to add your three favourite standard reports to the dashboard first Insert Reports to one of the shortcut areas in the dashboard then go to Services gt
18. 18 06 2012 02 17 20 27 2012 04 28 00 20 2012 02 17 21 17 2012 02 17 17 06 2012 02 07 21 54 2012 02 17 21 20 2012 04 28 00 10 2012 02 17 21 20 2012 02 07 21 52 2012 04 28 00 22 2012 02 07 21 56 Save Sharing interpretations Exit 2 Coverage M ANC 3 Coverage For certain analysis related resources in DHIS like charts and report tables one can share a data interpretation An interpretation is simply a link to the the relevant resource together with a text expressing some insight about the data If you want to share a chart interpretation you need to first save the chart you want to share as a favorite Then without making any changes to the chart click the Share button the toolbar A window will open up and this is where you write your interpretation When you are done click share button in the bottom right corner of the window The window will close automatically and 1f the interpretation was shared successfully you will find a notification on the bottom toolbar 6 16 Exiting the data visualizer module If you want to exit the module and go back to the DHIS start page you can click on the Exit button to the right side of the top centre menu 29 Using GIS GIS module overview Chapter 7 Using GIS 7 1 GIS module overview You can access the GIS module from the Services gt GIS link in the top menu The picture below shows the GIS viewport 2 9 0 B O Favortes Legend Download Share i Layer overvi
19. ADAS E ee ee Re E E ee 37 8 1 Selting up the dashboard sia td ala caia Gaudin dna sadeceteendnates 37 02 Messages and feedback be 38 SAA O A de 41 9 1 The Miydatamart application 41 91 1 Maintains the Local datamiarts det dd is 41 Sl Creaune anew Carat abt ee een 41 9 1 1 2 Populating the datamart with metadata oooooccoccnconcnconcnnoncononconcnnoncnnonconcnnonannnos 42 9 1 1 3 Choosing Organisation unit and analysis level ooooooocconcnconcnnoncnncncononnnnonoo 43 DAWA Downlsad ne Wald ss ee einem 44 1v Getting started with DHIS 2 as end user Getting started with DHIS2 Chapter 1 Getting started with DHIS 2 as end user 1 1 Getting started with DHIS2 After reading this chapter you will be able to understand e How to open the DHIS 2 e How to log in and out of the application e How to navigate the application and access its features 1 2 Opening DHIS 2 The DHIS 2 s a web based application and will be available in an Internet browser when you have Internet connection Open a browser we recommend Google Chrome download installer here http www google com chrome and in the address field you type in the URL of the DHIS 2 ask your technical support team for this You will then see the login screen of DHIS 2 1 3 Logging in and out of the application Once you can see the blue login screen of DHIS 2 you must enter your user name and password to log in to the application If the login is
20. DHIS 2 End user Manual 2 9 SNAPSHOT 2006 2012 DHIS2 Documentation Team 649 Version 2 9 SNAPSHOT 2013 02 26 09 23 25 Warranty THIS DOCUMENT IS PROVIDED BY THE AUTHORS AS IS AND ANY EXPRESS OR IMPLIED WARRANTIES INCLUDING BUT NOT LIMITED TO THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED IN NO EVENT SHALL THE AUTHORS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT INDIRECT INCIDENTAL SPECIAL EXEMPLARY OR CONSEQUENTIAL DAMAGES INCLUDING BUT NOT LIMITED TO PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES LOSS OF USE DATA OR PROFITS OR BUSINESS INTERRUPTION HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY WHETHER IN CONTRACT STRICT LIABILITY OR TORT INCLUDING NEGLIGENCE OR OTHERWISE ARISING IN ANY WAY OUT OF THE USE OF THIS MANUAL AND PRODUCTS MENTIONED HEREIN EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE License Permission is granted to copy distribute and or modify this document under the terms of the GNU Free Documentation License Version 1 3 or any later version published by the Free Software Foundation with no Invariant Sections no Front Cover Texts and no Back Cover Texts A copy of the license is included in the source of this documentation and is available here online http www gnu org licenses fdl html DHIS 2 End user Manual Contents l Getting started with DELS 2 as ERES 2er eure l A Gens Started with DIS a ae a a ance ea ues l kZ ODE DH r a a did 1
21. ab or anywhere outside the field The system will provide an alert if the value is still outside the defined minimum and maximum values but the value will saved in any case The field will have a red background color if the value is outside the range and a green if inside Each outlier value can be marked for further follow up by clicking the star icon 3 5 Min Max Outlier Analysis 10 The min max value based outlier analysis provides a mechanism for revealing values that are outside the pre defined minimum and maximum values Minimum and maximum values can be custom defined or automatically defined by the system in the data administration module See the section about Std dev outlier analysis for further details on usage Using Data Quality functionality Gap Analysis 3 6 Gap Analysis The gap analysis provides a mechanism for revealing gaps in the data A gap exists for a specific data element and organisation unit A gap is a period with preceding and succeeding periods which have registered data values but without registered data values itself Such a gap might indicate a data capture error or omission and could be further investigated See the section about Std dev outlier analysis for further details on usage 3 7 Follow Up Analysis The follow up analys s function will list all data values which are marked for follup up A data value can be marked for follow up in the data entry module and in the other validation analysis variants
22. analysis To run a report table first navigate to the list of available report tables in Services gt Reports gt Report Tables and the click on the Green and white arrow the first symbol in the operations list next to the report table you want to view Report parameters Most report tables have parameters which means that you can filter which orgunits and or periods you want in the report This makes the reports much more reusable When you run the report table a Report parameter window will open and ask the user to input values for the selected parameters The possible parameters are Reporting Month and Organisation Unit and either one of these or both will show in the window After selecting the values click on the Get Report button Using reporting functionality IF Report Standard Report Dataset Report Data Completeness Report Static Report Distribution Report Tally Sheet Generator Report Table chat Chart Pivot Table Pivot Table Kenya HIS Report table parameters Maintenance E Kenya Central E Coast E Kilifi County Kaloleni Kilifi Malindi Kwale County Lamu County Mombasa County Taita Taveta County Tana River County Bak Services Using dataset reports Export view options When the report table is ready 1t will be displayed in a html view The report table can be exported to pdf for better printing and easier saving excel csv and also to a st
23. andard report format Jasper with a nicer table and a chart shown in pdf or as a jasper design file for further improvements and changes to the report design before uploading it as a standard report see the Creating standard reports section IF Report Standard Report Dataset Report Data Completeness Report Static Report Distribution Report Tally Sheet Generator Report Table CO Chart Pivot Table Pivot Table Kenya HIS October 2010 October 2010 October 2010 October 2010 October 2010 October 2010 October 2010 October 2010 October 2010 October 2010 October 2010 October 2010 5 4 Using dataset reports Immunization Numbers Bamba Medical Clinic Uzima MC Kilifi Mwanzo Medical Clinic Menengai Health Care Serv Mtwapa Dispensary Vipingo Health Centre Union Medical Amani Family Medical Clin Michaela Denis MC Ganze Dispensary Vutakaka Medical Clinic Chumani Medical Clinic Organisation unit Fully immunised 0 0 0 0 0 0 0 0 153 0 76 0 0 0 0 0 0 0 29 0 2 0 2 0 Maintenance Services DPT3 doses Measles doses given given 00 00 00 00 00 00 00 00 127 0 153 0 102 0 76 0 00 00 00 00 00 00 00 29 0 00 20 8 0 20 0 0 117 0 107 0 0 0 0 0 0 0 76 0 0 0 90 Dataset reports are printer friendly views of the data entry screen filled with either raw or aggregated data These are only available for data sets that ha
24. bjolliffe Password My OrgUnit Nyeri North My analysis level 5 Orgunit settings Orgunit Analysis level Kenya County Central District Nyeri Coun Community Nyeri South Wards Departmen Nyandarua County Muranga County Kirinyaga County Kiambu County Coast Metadata import done Figure 9 4 Setting analysis parameters Once you have set these once they will be saved with your datamart file Though they can be changed at any time or you might have different datamart files with different settings In most cases you will likely be maintaining a single datamart file which you will have set up like the case of Nyeri North above Note You will have noticed from Figure 9 4 Setting analysis parameters that the analysis level is converted to a number So for example in Kenya the facility is at level 5 the district is level 4 etc These correspond to orgunit hierarchy levels within dhis2 These numbers will vary from one country implementation to another For the 43 Using MyDatamart Maintaining the local datamart most part you do not need to be concerned with the number of the level except when you come to selecting views for analys s Here you will see that the level number is used as part of the naming convention for views 9 1 1 4 Downloading data 44 Now that you have your local datamart set up you are ready to start populating it with data from your online
25. button A new window opens Enter a name and click the Create button You will find your new favorite in the list All favorites have four action buttons on the right hand side Grey Edit favorite name Green Save current map to this favorite overwrite Yellow Add this favorite to dashboard Red Delete this favorite You can search for favorites in the textfield above the favorites The list will be filtered on every character that 1s entered Click the next and prev buttons in the bottom right corner to navigate between pages 7 3 2 Create predefined legend sets Click the Legend button on the map toolbar To create a new set click the Add new button Example usage vaccination coverage Firstly give the legend set a name Then create the legends you want in your legend set The first one could be Low bad name O start value 50 end value red color Click Add legend and appears in the list below Then create Medium 50 80 yellow High good 80 100 green and finally Too high 100 10000 grey Now click the Create button in the bottom right corner If your legend set has overlapping legends e g 0 50 and 40 80 you will not be allowed to proceed If your legend set has a gap between the legends e g 0 50 and 60 80 you will get a warning but are allowed to proceed NOTE Continous legends are supposed to end and start on the same value e g 0 50 and 50 80 This will automatically be taken ca
26. d type are system settings called Infrastructural data elements and Infrastructural period type The second option in the context menu is Relocate and lets you graphically move the organisation unit to a different location The new coordinate will be stored permanently Browser cache must be deleted to see the change if you reload the page In the Edit layer window will find sourrounding areas in addition to group set level and parent This lets you draw a circle around each facility with a desired radius in kilometers 7 3 Tools This section describes the available GIS tools 7 3 1 Favorite maps 1 123 Favorites Legend Y y ar Hell s Gate National Park 34 NN late a F Manage favorites x Add new DRH ANC coverage quarterly O m DRH ANC coverage yearly 808 DRH ANC new clients 2012 O G m DRH Live births 2012 O m DVI Coverages yearly O O m 5 favorites available Prev Next Githunguri NA N NN my Layer overview and visibility 2 Google Streets 100 gt 2 Google Hybrid Boundary layer ED Thematic 1 layer amp Thematic 2 layer FA Facility layer Thematic layer 1 legend Thematic layer 2 legend Facility layer legend gt gt Using GIS Create predefined legend sets Click the Favorites button on the toolbar to open the Manage favorites w ndow To add a new favorite click the Add new
27. data elements periods and organisation units you want to include and click Update to get your visualization Secondly it is designed to be fast and work well over poor Internet connections charts are generated in the web browser and very little data is transferred over the Internet y y 77 lt lt lt Update Favorites Download Data table Exit ne HU HH ES ES oF ee Series Category Filter Sierra Leone Data v Period v Organisation unit v E ANC 1 Coverage mi ANC 2 Coverage M ANC 3 Coverage F Indicators won Select group ANC N iii 140 0 Available gt ud Selected ANC Dropout Rate ANC 1 Coverage 120 0 4 ANC IPT 1 Coverage ANC 2 Coverage o ANC IPT 2 Coverage ANC 3 Coverage 100 0 5 ANC LLITN coverage ANC TT2 coverage 80 0 lt ANC visits per clinical professional 60 0 5 40 0 4 Data elements Reporting rates 20 0 5 Relative periods 0 0 os Fixed periods 3 Organisation units ys ES e Ss eS ot pe oo Bu ae oo a ea oo we Ca 2 o J Organisation unit groups P Chart options 6 2 Selecting chart type The visualizer module provides seven different chart types each with different characteristics You can select the type of your chart by clicking on one of the icons in top left bar titled Chart type l Column chart Chart which displays information as vertical rectangular columns with lengths proportional to the values they represent Useful eg for comparing
28. egister the form as complete This information is used when generating completeness reports for district county province or the national level Kenya HIS Validation Result The data entry screen has validation errors please correct these before proceeding The following values violates validation rules Validation rule Expression Description Value Operator Value Description ANC 4th visits New ANC clients gt Client completed 4 ANC Visit ANC clients 30 gt 5 0 ANC 4th Visit 2 2 4 Offline data entry The data entry module will function even if during data entry the Internet connectivity is not stable In order to utilize this functionality you must login to the server while the Internet is functional but if during data entry the Internet link between your computer and the server becomes unstable data can still be entered into the data entry form saved to your local computer and then pushed to the server once the Internet connectivity has been restored Data can be entered and stored locally while being offline and uploaded to the central server when on line This means that the on line deployment strategy will be more viable in areas with unstable Internet connectivity The total bandwidth usage is greatly reduced since forms no longer are retrieved from the server for each rendering When the server is able to be reached through the Internet connection a message is displayed at the top of the data entry screen below If the I
29. ents e Completeness Data for all data elements for all health facilities should have been submitted e Consistency Data should be consistent with data entered during earlier months and years while allowing for changes with reorganization increased work load etc and consistent with other similar facilities e Timeliness All data from all reporting orgunits should be submitted at the appointed time 3 2 Data quality checks Data quality checking can be done through various means including 1 At point of data entry the software can check the data entered to see 1f 1t falls within the min max ranges of that data element based on all previous data registered 2 Defining various validation rules which can be run once the user has finished data entry The user can also check the entered data for a particular period and Organization Unit s against the validation rules and display the violations for these validation rules 3 Analysis of data sets 1e examining gaps in data 4 Data triangulation which is comparing the same data or indicator from different sources 3 3 Running Validation Rule Analysis You can access Validation Rule Analysis from the Services gt Data Quality menu A validation rule is based on an expression which defines a relationship between a number of data elements The expression has a left side and a right side and an operator which defines whether the former must be less than equal to or greater than
30. eports from the left side menu in the Services gt Reports module Orgunit distribution reports are reports that show how the orgunits are distributed on various properties like type and ownership and by geographical areas The result can be presented in a table based report or in a chart Running a report To run a report first select an orgunit in the upper left side orgunit tree The report will be based on orgunits located under the selected orgunit The select the orgunit group set that you want to use typically these are Type Ownership Rural Urban but can be any user defined orgunit group set The you can click on either Get Report to get the table based presentation or Get chart to get the same result in a chart 23 Using reporting functionality Using web pivot table IF Kenya HIS Maintenance Services Organisation unit distribution report Select organisation unit E Kenya Central Coast Eastern Nairobi NorthEastern Type Y Nyanza Rift Valley Get report Get chart Western Download as PDF Download as Excel Download as CSV Type Kenya Organisation unit Dispensary Health Centre Hospital Nursing Home Private Medical Clinic Central 355 415 32 16 490 Coast 190 781 9 5 121 Eastern 77 42 4 2 12 Nairobi 0 1 1 0 0 NorthEastern 94 248 1 8 58 Nyanza 4 824 1 0 4 Rift Valley 713 249 44 27 166 Western 1 11 3 0 0 5 10 Using web pivot table The web pivot table 1s a t
31. et at a time A data set often corresponds to a paper based data collection tool 2 2 1 Selecting the data entry form To start entering data the first step 1s to open the correct form Follow these steps 1 Locate the orgunit you want to register data for in the tree menu to the left Expand and close branches by clicking on the symbols A quick way to find an orgunit is to use the search box just above the tree the green symbol but you need to write in the full name to get a match 2 Select a data set from the dropdown list of data sets available to your selected orgunit 3 Select a period to register data for The available periods are controlled by the dataset s period type reporting frequency You can jump a year back or forward by using the arrows above the period By now you should see the data entry form Depending on how the data entry form has been implemented you will see three different types of foms Default forms section forms or custom forms If a custom form exists t will be displayed followed in order of precedence by a section form and finally a default form DHIS 2 Demo Sierra Leone Maintenance Services Help Log out f X Ngelehun CHC No Period Selected is Data Entry No Data Element Selected Sierra Leone BO g Run validation Badjia Organisation Unit Ngelehun CHC Ngelehun CHC _Njandama MCHP Data Set Select data set Select data set HBaoma
32. ew and visibility x ON A De Zar WY REE EAS 7 A S y O 3 Google Hybrid C Boundary layer 10 C E Thematic 1layer lt O Thematic 2 layer A Br 1 ES Facility layer Afghanistan lt ss E Sere Thematic 1 mn l Pakistan Se 3 layer 1 legend 2 P 4 gt ae SR f Thematic layer 2 legend a ma XO Facility layer legend gt Ethiopia E Wr ne A alia y gt Chile var JOM ME e he LON 51 59180 LAT 5 17848 Google In the top right corner there is a panel called Layer overview If you are online you will see Google Streets and Google Hybrid which can be used as background maps layers Switch between the two of them by checking the checkbox By unchecking the box you can hide the background completely If you want to see the background but with reduced opacity you can set the visibility to something lower than 100 in the numberbox to the right The final four layers are the vector layers which the user has at his disposal for thematic mapping explained in the next section The panels below hold the map legends when you create a thematic map A legend explains the link between values and colors on your map Lets take a look at the map toolbar The four icons from the left represent the mentioned vector layers and this is the starting point of the GIS application Further to the right we have Favorites Save your maps to easily restore them later Saving a map as a favorite also gives
33. in a printer friendly format Use print and save as functions in the browser to print or save as html the report 5 5 Using resources The resource tool allows you to upload both files from your local computer to the DHIS server and to add links to other resources on the Internet through URLs If you want to share the direct link to the DHIS resource you can right clik on the view resource button and copy the link address The create a resource click on the Add new button Enter a name for the resource then choose between uploading a file or external URL If you chose file upload click Choose file and select your file your local computer If you chose URL enter the link to the resource on the Internet Then click Save 5 6 Using data visualizer The data visualizer module can be accessed under Services in the top menu See the chapter called Using data visualizer for a thorough explanation of this module 5 7 Using the dashboard 20 The dashboard is your first view into the data every time you log on to the system Every user has its own dashboard and a dashboard consists of 4 chart areas to the right and 3 short cut areas to the left Using reporting functionality Using the dashboard Kenya HIS Maintenance Services Log out Dashboard Insert Close Clear Insert Close Clear Insert Close Clear Map views HIV test rate maternity by province Fully immunised lt 1 year coverage 201
34. in this module 11 Introduction to indicators Indicators Chapter 4 Introduction to indicators When the Data Elements and Indicators options is chosen from the main Maintenance menu the following screen appears IF District Health Information Software 2 Maintenance Bere Data Element Data Elements and Indicators Data Element Data Element Group Data Element Group Editor Data Element Group Set Data Element Category Data Element Category Combination Concept Data Element Create modify view and delete data elements Data elements are phenomena for which will be captured and analysed Data Element Group Create modify view and delete data element groups Groups are used for improved analysis Indicator Indicator Indicator Type Indicator Group Indicator Group Editor Indicator Group Set Data Element Group Editor Easily add or remove data elements to and from data element groups as well as deleted data elements Data Dictionary Data Element Group Set Create modify view and delete data element group sets Group sets are used for improved analysis Data Dictionary From the left side menu or by scrolling down the central area you can access the various sections on Indicators Indicator Indicator Type Indicator Group Indicator Group Editor and Indicator Group Set 4 1 Indicators Indicators are composed of multiple data elements and typically consist of a numerator and a denominat
35. ing rates describing the phenomena or event of the data 2 Periods Describes when the event took place 3 Organisation units Describes where the event took place The visualization module lets you use these dimensions completely flexible in terms of appearing as series categories and filter Understanding these concepts is most easily done by looking at the screenshot from the opening page below Example chart T T T yA i 3 oA on t N ae ae ae More formally this can be described as following a o Le o w o N o o o 1 Series A series is a set of continous related elements eg periods or data elements which you want to visualize in order to emphasize trends or relations in its data 2 Categories A category is a set of elements eg indicators or organisation units for which you want to compare 1ts data 3 Filter Since most charts are two dimensional a filter must be used on the third dimension in order to use only a single element for the chart to become meaningful 6 4 Selecting indicators and data elements The visualizer module can display any number of indicators and data elements in a chart and data table Both indicators and data elements can be selected and appear together in the same chart You can select indicators by clicking at the Indicators header and selecting an indicator group from the list of groups below it This will make the indicators in the selected group appear i
36. ion Rule Analysis Std Dev Outlier Analysis Min Max Outlier Analysis Gap Analysis Follow Up Analysis Analysis result Std Dev Outlier Analysis From date To date 2010 10 01 al 2010 12 31 Available data sets Laboratory Report Medical Equipments Opthamic Services Outpatient Population estimates Service Workload TB And Lung Diseases KAPTLD Select parent organisation unit E Kenya Central E Coast E Kilifi County Kaloleni Kilifi Malindi Kwale County Lamu County Mombasa County Taita Taveta County Tana River County Eastern Nairobi NorthEastern Nyanza Rift Valley Western Select number of standard deviations lt HHBE Min Max Outlier Analysis _ Selected data sets Integrated RH HIVAIDS Malaria TB amp Nutrition Vaccines and Immunisation The potential outlier values discovered will be presented in a list after the analysis process is finished The data element organisation unit period minimum value actual value and maximum value will be displayed for each outlier The minimum and maximum values refer to the border values derived from the number of standard deviations selected for the analysis Each outlier value can be modified directly in the analysis result page The value can be modified by clicking inside the corresponding field in the value column entering a value and then navigate away from that field either by clicking t
37. ith four columns one for data meaning data element or indicator period organisation unit and data value This table can be sorted ascending or descending on any of the columns gt gt gt Update Favorites Download Data table a ANC 1 Coverage Sierra Leone E ANC 1 Coverage W ANC 2 Coverage m ANC 3 Coverage 360 0 320 0 280 0 240 0 200 0 160 0 ANC 2 Coverage 120 0 ANC 2 Coverage March 2012 ANC 2 Coverage ANC 3 Coverage 6 13 Downloading chart as image or PDF After you have rendered a chart you can save that view as file and download it to your local computer by clicking on Save as on the top centre menu You can select between PNG image or PDF The file will be automatically downloaded to your computer for instance can you now embed the image file into a text document as part of a report 6 14 Saving chart as favorite Once you have rendered a chart you can save t as a favorite Click on the Favorites button on the top menu and then on the Manage favorites link In the name field enter the desired name for your chart By ticking the System checkbox the chart will be visible to all users of the system if you do not tick it the chart will be visible only to yourself This requres that your user account has the privilege to create system charts You can rename any favorite by selecting it in the list modifying its name in the name input field and clicking Rename You can delete any fav
38. like data entry data quality and reporting Under the top menu item Help you can access the built in user manual update your user details or view information about the running DHIS application To move to a new module you need to move the mouse pointer to one of the top menu items Maintenance Services or Help Then a submenu with modules will appear Click on the module you would like to open 1 4 2 Navigation inside modules When you open most of the modules you will see the module main page which lists the major submodules or features in the middle of the screen with a short description Simply click on the feature you would like to open When inside a module you will always see the left side menu with links to its features Use this menu to jump between features The data entry and dashboard modules do not have a menu system as they only contain one feature everything is in one page so no need for a menu there Kenya HIS Maintenance Services Help Log out Reports Standard Report Dataset Report Data Completeness Report Standard Report Static Report View and add standard reports These reports can be based on Organisation Unit Report report tables and can be designed in BIRT or JasperReports Tally Sheet Generator Report Table Chart View data set reports These reports are based on data entry er screens and will produce a report with aggregated data Chart Data Completeness Pivot Table Browse the submissi
39. line area and pie charts The charts can be saved in order to be easily retrieved later and can also be put on your personal dashboard Charts can be downloaded as image and PDF files to your local computer Report tables These are very configurable table outputs of your data either showing raw or aggregated data as well as indicator data These tables are used as either a data source for more advanced reports for export to external systems or as a crude report itself and are exportable to pdf excel csv and jasper design files These tables represent a very dynamic flexible and quick way to look at the data Report tables can be set up with parameters to make them reusable over time and place Orgunit distribution reports These reports are generated off the orgunit group set information and can show what types and how many of each type of health facilities that are located in a given area any level in the hierarchy These reports are automatically generated and display the information in both tables and charts and downloads n pdf excel and csv are available Reporting rate summary These reports provide a nice overview of how many facilities that have submitted their data for a given dataset and period Here you can get both the counts and the percentages showing the reporting rate for all or single data sets Excel pivot tables Excel pivot tables represents a very powerful way to analyse your data and DHIS 2 links directly to the
40. ll that process of converting collected data into aggregated data and write to the data mart The data mart management screen allows you to select period types start date and end date which will control which periods are included in the data mart process By default all data elements indicators and organisation units will be included The data mart process might take a long time and heavily utilize the resources of your server so make sure you start such processes at a feasible time in production environments Data mart processes can be scheduled as regular tasks in the data administration module Using Data Visualizer Data Visualizer overview Chapter 6 Using Data Visualizer 6 1 Data Visualizer overview The data visualizer module enables users to easily create dynamic data analysis and visualizations through charts and data tables You can freely select content like indicators periods and organisation units for your analysis This module can be accessed by going to Services Data Visualizer in the main menu The image below shows the viewport of the module For a quick start 1 Look under the Indicator heading and select an indicator group from the list of groups 2 Look under Available indicators and select a few indicators from the list by double clicking on them 3 Click Update in the top bar and see the chart unfold The data visualizer 1s designed firstly to be easy to use you can simply select the indicators
41. n press the Write message button Select an organisation unit or group of organisation units from the Recipients organisational unit tree Provide a Subject and Text To send the message press the Send button You can discard the message by pressing the Discard button as seen 1n the screenshot below Write new message Organisation Unit Selection Selectatlevel Leveli Un selectatievel Un selectall Selectin group Un selectin group Select children Addis Ketema A der Agnewak Akaki Kaliti Recipients P Alaba Special Wereda Amaro Special Wereda Arada Argoba Special Wereda Arsi Awi Bale Basketo Special Wereda El Subject Data review meeting We will have a data review meeting next Thursday September 29th at 9 AM at the woreda health office All information officers are expected to attend Text Send Discard To read messages which have been sent to you select Messages from the Dashboard You messages will be displayed as a list Click the desired message to read all of the messages n this particular conversation Dashboards Messages Write message Write feedback Sender admin admin admin admin Subject DHIS is great Whats up with your data Messages and feedback Date 2011 09 21 2011 09 21 Operations 39 Using MyDatamart The Mydatamart application Chapter 9 Using MyDatamart 9 1 The Mydatamart application The purpo
42. n the list under Available indicators to the left From that list you can double click on any indicator in order to select it this will move it to the list under Selected indicators Alternatively you can mark one or more indicators and click the single arrow button To select all indicators you simply click on the double arrow button To deselect indicators you can do correspondingly in the Selected indicators list To select data elements click on the Data elements header The same principle for selecting and deselecting applies as for indicators 6 5 Selecting reporting rates The visualizer can display reporting rates in a chart by itself or together with indicators and data elements Reporting rates can be selected by clicking at the Reporting rates header Reporting rates are defined by data sets It can be selected by double clicking in the list of available data sets to the left 26 Using Data Visualizer Selecting relative periods 6 6 Selecting relative periods To select relative periods click on the Relative periods header You can select any number of periods from the set of periods listed under the header such as Last month Months this year and Last 5 years The names should be fairly self descriptive All periods are relative to the current date meaning that if the current month is March and you select Last month the month of February will be included in the chart 6 7 Selecting fixed periods To
43. nit Period Left side description Value Operator Value Right side description Details Kilifi District Hospital October 2010 Pregnant women errolled for HIV care through PMTCT 11 0 gt 21 0 pregnantwomens on ARVs O Kilifi District Hospital October 2010 Inpatient counselled 440 0 gt 530 0 Inpatienttested O Mt Harmony Clinic November 2010 Total ANC re visits 1 0 gt 2 0 ANC 4th visit completed 0 Jaribuni Dispensary December 2010 Total ANC re visits 13 0 gt 16 0 ANC 4th visit completed O Zion Community Clinic December 2010 ANC Tested Clients 9 0 gt 23 0 ANC clients tested positive i Kilifi District Hospital December 2010 Live births plus still births 187 0 gt 566 0 Deliveries i Zion Community Clinic December 2010 ANC clients issued with Preventive ARVs 9 0 gt 230 ANC tested positives ves 0 Nuru Medical Clinic December 2010 Live Births 4 0 gt 5 0 Discharged alive i Madamani Dispensary December 2010 Live Births 0 0 gt 1 0 Discharged alive Jaribuni Dispensary December 2010 Total ANC clients 43 0 gt 73 0 Total IPT given at ANC i Pingilikani Dispensary December2010 Total ANC clients 55 0 gt 56 0 TotalIPT given at ANC O Zion Community Clinic December 2010 Total ANC clients 63 0 gt 2323 0 ANC clients counselled PMTCT Kilifi District Hospital December 2010 Pregnant women errolled for HIV care through PMTCT 7 0 gt 18 0 pregnant womens on ARVs 0 Zion Community Clinic December 2010 PMTCT HIV tests 9 0 gt
44. nnnnensnennnennesnnsnennsn EEE 23 5 10 AUS WED POLA A A AAA ea 24 Sl sine data mart managemen i 24 GUS Data Visualiz teen ee ee see en ee 25 0 1 Data Visualizer OVIN OW RER ee ea dee Eee 25 Pie RY D a po O En AA 25 0 35 peleen Series Cate Ory and TEE E RN aa 26 64 Selectine indicators and data Clements ans aa u E E N A 26 OSC Ecne TEDOTLUINE Tales sense ern dd tios 26 6 6 Selecuns Telative PELOS A A A E N 27 6 1 Selectnie Ed MEMOUS aueh 21 6 6 SElECHNS oreanisati n UNS Auen Dy 6 9 Selecting organisation unit groups 2 0 cece ccc c cece cece eee een n eee EEE EERE EEE EE EEE EEE EERE EEE GE EE EGE EE EEE EES 21 6 10 Selectas chart Opon ar a Blake 27 6 11 DISPARA SA COS A A een 28 0 12 Display ime a data table an ee 28 6 13 Downloading chart as image or PDF ais 28 Gia Sav Wien charlas favore lloc E A Me 28 0 19 Shans Interpre AU ONS nee 29 6 16 Exttino the data visualizer module sehn ee ee 29 T SNE GB nass ee a ee Nee See 31 TA GIS Module SIE II Wie ea eu ep Ri eier nie 31 Tzs NENAS Map PINS A A AA 31 111 DHIS 2 End user Manual Contents 1 2 1 Boundary ler A A A A AAA a ar hades 32 72 2 A ain acti a pain a tll aioe ane una uaa an anceee 33 ES AN A ee meen ree E ee A Te Tren ee 34 SS O O E EN ERORIERERTOESE TERROR DREETHE EE 34 7 321 FVO e MaS en lots 34 ez Create prede ned IE Send SEIS a 35 7 33 Download map as AO AA EA AA A A AA A eek 35 Foch Hate Map Merre taO erie dilo 35 O D
45. nternet connection should disconnect for some reason during the data entry process this will be detected by the application and you will be informed that your data will be stored locally You are offline data will be stored locally Data entry can proceed as normal Once you have entered all of the necessary data and the application detects that the server is back on line you will be informed that you have data which needs to be synchronized with the server There is data stored locally please upload to server Once the data has successfully synchronized with the server you will receive a confirmation message that the data has been successfully uploaded to the server Data entry Offline data entry Using Data Quality functionality Overview of data quality checks Chapter 3 Using Data Quality functionality The data quality module provides means to improve the accuracy and reliability of the data in the system This can be done through validation rules and various statistical checks All the functionality described below can be accessed from the left side menu in the Services gt Data Quality module 3 1 Overview of data quality checks Ensuring data quality is akey concern in building an effective HMIS Data quality has different dimensions including e Correctness Data should be within the normal range for data collected at that facility There should be no gross discrepancies when compared with data from related data elem
46. nu are as follows O __ Edit an existing indicator A Translate an existing indicator i Delete an existing indicator Get detailed information about this indicator To add a new indicator click the Add new button The following screen is displayed District Health Information Software 2 Maintenance Services Help Log out Create new indicator Details Names o O Short name A Alternative name A Code A Description Annualized Indicator Type O Oo Each of the fields marked with an asterisk are compulsory A description of each field is provided below e Name The full name of the indicator such as Incidence of confirmed malaria cases per 1000 population e Short name An abbreviated name of the indicator such as Inc conf malaria per 1000 pop e Alternative name An additional field for a possible alternative name of the indicator e Code In many countries indicator are often assigned a particular code which can be entered here e Description A brief informative description of the indicator and how it is calculated can be entered here e Annualized Determines whether or not an annualization factor is applied during the calculation of the indicator Typically annualized indicator numerators are multiplied by a factor of 12 and the denominator is a yearly population figure This allows for monthly coverage values to be calculated with yearly population figures
47. oast gt lt E FA Facility layer ga Eastem E I Nairobi PRE Thematic layer 1 legend y J a North Eastem D B U Nyanza n Thematic layer 2 legend Y e 4 O Rift Valley _ y C Westem Facility layer legend y Jamaame Kismayo Mg Sa y i l a ae AA Ngorongoro Conservation Area an Arusha N Kigosi Game Reserve Nationale dintombwe Zanzibar WO TE LON 35 65764 LAT 1 95599 Google The purpose of the boundary layer is to display the boundaries coordinates in the system No data will be shown This layer is useful if you are offline and thus have no background map Click the boundary globe icon on the toolbar and select Edit layer You can select the organisation units you want to show on the map by selecting a level and a parent That means show all organisations units at this level that are children of this parent When there are visible organisation units on the map you can easily navigate up and down in the hierarchy without using the level parent user interface By clicking one of the organisation units a context menu will open then select drill down or float up The drill down option will be disabled if you are already on the lowest level or if there are no coordinates available on the level below Vice verca goes for floating up The layer menu also offers to put on labels and to locate an organisation unit in the map The final option in the layer
48. on rates of data sets by organisation unit and period based in various criteria for completeness Pivot Table 4 Static Report gt View and add static reports These reports can be uploaded documents or URLs on the web Organisation Unit Distribution Report Browse the organisation unit distribution report based on the organisation unit group sets and its groups Tally Sheet Generator Generate tally sheets which can be printed and used to collect data in the field Report Table Add and generate report tables Report tables are customizable database tables which can be used as basis for reports Chart View and add charts Charts are based on indicators and either organisation units or periods Pivot Table Browse pivot tables which can be pivoted on any of the indicator organisation unit and period dimensions Data entry Learning Objectives Chapter 2 Data entry 2 1 Learning Objectives After reading this chapter you will be able to understand e How to select the right data entry form e How to enter data e How to do data validation 2 2 Data entry with DHIS 2 To open the data entry window click on the services tab displayed in the main menu A drop down menu will appear listing the services provided by DHIS 2 Click on the Data Entry option The data entry module is where data is manually registered in the DHIS 2 database Data is registered for an organisation unit a period and a set of data elements data s
49. ool for displaying and pivoting indicator and data element data in an easy way From the open data selection box start by selecting data type which can be data elements or indicators Select the a group as a filter or leave it on All Select start date end date and period type to indicate which periods you want to include in the pivot table Continue by selecting an organisation unit from the selection tree The childeren at the level below the selected organisationn unit will be included in the pivot table Then click Get data After loading a pivot table you will see that indicators or data elements will appear on top as columns while periods and organiation units are combined as rows If you want to pivot the table click on the Pivot button and select new dimensions These dimensions will be displayed as columns in the table when clicking Pivot In the pivot table you can click on any cell in order to show a menu From this menu you can choose to visualize the relevant indicator org unit and period as various chart variants To save the pivot table data to your local computer click the Download as excel button The Excel workbook will show each period as a sheet 5 11 Using data mart management 24 The data mart 1s a set of tables in the DHIS database which is used by all reporting and analysis tools to retrieve data from The data mart s populated based on the collected data This management user interface allows you to contro
50. or Indicators are never entered in DHIS 2 but instead calculated from the raw data registered in the system based on the indicator formulas Indicators are used to calculate 1 e coverage rates incidence ratios and other calculated values which are more useful for data analysis than the raw data described by data elements To access the Indicator maintains page press Maintenance gt Data Element and Indicators gt Indicator from the main DHIS2 menu You can add delete modify and view extra information about the indicators in the system using the icons next to each indicator in the list His yy District Health Information Software 2 Maintenance Services Data Element Indicator management Data Element Data Element Group Filter by name Data Element Group Editor DR Select data dictionary rias en TT PEACE Combination ak All Other Family planning Methods CYP 7 bi mi O Indicator ANC st Visit Coverage 7 tA l O Indicator Type ANC 4th visit coverage 7 aO Dd ae ae ANC clients attending at least 4 ANC visits AMO Indicator Group Set EHER y 624 a O Data Dictionary BCG Wastage Rate 7 bi Ww O Data Dictionary BTL Couple year protection 7 bi Ww O 13 Introduction to indicators Indicators 14 Indicators can be filtered by entering the name or a part of the indicator name in the Filter by name field Similar to data elements indicators can be added by pressing the Add new button Other operations available from this me
51. orite by selecting it and then clicking Delete These favorite charts can later be included on your personal dashboard After saving you can navigate to the dashboard module click on the Insert link over the chart areas and select your preferred chart 28 Using Data Visualizer E cmane gg ee A MZ Series Category Filter Data NA Period vw Organisation unit Indicators Data elements Reporting rates Relative periods Months Quarters Six months Last month Last quarter Last 6 months Last 3 months Last 4 quarters Last two 6 months v Last 12 months Years Options This year Rewind one period Last year Last 5 years Fixed periods J Organisation units Organisation unit groups Chart options lt Update Favorites Download Data table Sierra Leone 360 0 320 0 280 0 240 0 160 0 120 0 80 0 40 0 0 0 ys 6 15 Sharing interpretations F Manage favorites Name ANC National dropout rate System Y Sort by ANC 1 and 2 coverage ANC 1 3 Coverage ANC Coverage by Facility Type ANC IPT 1 and 2 Coverage ANC IPT BCG FIC by Facility Type ANC LLITN Coverage ANC National dropout rate ANC Visit Data Area Deliveries Indicators comparison Deliveries PHU delivery rates Delivery Births attended by skilled health personel Disease Mortality Immunization BCG Coverage Immunization Coverage Stacked Bar 2012 02 17 20 25 4 2012 04 28 00 25 2012 04 27
52. ors in the online DHIS2 application But before you can do this you must first populate the local datamart with metadata from the remote dhis2 Metadata refers to the parts of the database which give the data values meaning This includes e Organisation units and hierarchy e Dataelement and Indicator names e Datavalue disaggregations categories and categoryoptions e Various groups and groupsets This information is required to work with pivot tables and to select important parameters relating to your organisation unit Fortunately populating with metadata is a straightforward if time consuming operation The easiest way to load metadata from DHIS2 is to press the toolbar button with the image It can also be done via the Datamart gt Load metadata from dhis menu option The Mydatamart application will then contact the remote DHIS2 server and download transform and save the metadata into the local database Using MyDatamart Maintaining the local datamart Note Currently the transform part of the operation is quite slow Expect it to take as long as ten minutes During this time you cannot work with the application so you have to be patient The reason for the long time is that it must process all of the orgunits in the dhis hierarchy which for many countries can be quite large In future editions of Mydatamart we will improve on this by cutting down the number of orgunits to be processed Once the metadata download is com
53. ou access the available reports from the Services drop down menu by selecting Reports In the report menu in the left bar click Standard Report A list of all pre defined reports will appear in the main window Inf Kenya HIS Maintenance Services Help Log out Report Standard Report Standard Report Dataset Report Data Completeness Report Static Report Name c Operations A Tally sheet generator ART Z Report Table O z a Family Planning O Z 4 ty Chart Chart Immunisation cumulative coverage chart 0763 Immunisation Yearly 0763 Pivot Table immunization DPT 070638 Pivot Table Immunization Dropout Rates O 7 4 immunization OPV 07653 Life cycle 0765 OPD top 10 new cases Over 5 O 708 OPD top 10 new cases Total 07 05 OPD top 10 new cases Under 5 O 708 PMTCT 0765 Safe delivery overview 0768 You run view a report by clicking on the white and green arrow next to the report you want You will then see a report parameter window where you must fill in the values needed for orgunit and or reporting month depending on what has been defined in the underlying report table s Click on Get Report when you are ready The report will wither apper directly in your browser or be available as a pdf file for download depending on your browser settings for handling pdf files You can save the file and keep it locally on your computer for later use 5 3 Using report tables 18 Report tables is a simple to use tool for creating tabular
54. performance of different districts 2 Stacked column chart Chart with vertical rectangular columns where bars representing multiple categories are stacked on top of each other Useful eg for displaying trends or sums of related data elements 3 Bar chart Same as column chart only with horizontal bars 4 Stacked bar chart Same as stacked column chart only with horizontal bars 5 Line chart Graph wich displays information as a series of points connected by straight lines Also referred to as time series Useful eg to visualize trends in indicator data over multiple time periods 6 Area chart Chart which is based on line chart with the space between the axis and the line filled with colors and the lines stacked on top of each other Useful for comparing the trends of related indicators 7 Pie chart Circular chart divided into sectors or slices Useful eg to visualize the proportion of data for individual data elements compared to the total sum of all data elements in the chart 25 Using Data Visualizer Selecting series category and filter 6 3 Selecting series category and filter This section lets you define which dimension of the data you want to appear as series category and filter This asks for a closer explanation Dimension in this regard refers to the elements which describe the data values in the system We have three main dimensions in the system 1 Data Includes data elements indicators and datasets report
55. pivot tables so that all the data will be available and updated in your Excel file This can be a very useful tool for users that prefer working with the data offline To update your local pivot tables you need the myDatamart tool which connects to the online server and downloads the latest data This update will typically take place once a month when new data is available but do not require a constant internet connection like the other reporting tools if you are connecting to an online DHIS 2 server Web based pivot tables The built in pivot table tool is a simple web based tool to display indicator data by orgunit and period in a typical pivot table view and allows for some basic pivoting manipulations of the tables It is a quick and easy way to look at many indicator values at the same time by orgunit and or period but does not have the same functionality as the offline Excel pivot tables GIS Present and analyse your data using thematic maps You can view both data elements and indicators and given that you have coordinates for all your orgunits you can drill down the hierarchy and view maps for all levels from country polygons to facility points See the separate chapter on GIS for more details All the map information is built into DHIS 2 and all you need to do is to register coordinates for your organisation units and the maps will be available 17 Using reporting functionality Using standard reports 5 2 Using standard reports Y
56. plete the user will be returned to the Settings interface where she can proceed to enter information about her organisation unit and the level of analysis to be used This configuration is covered in the following section 9 1 1 3 Choosing Organisation unit and analysis level The benefit of using mydatamart is that you only need to download the data from the dhis2 server which you need in your routine analys s By selecting the appropriate orgunit and level of analysis you ensure that your regular data updates will be small and manageable even when bandwidth is limited The two concepts to be aware of are your root orgunit and your analysis level To illustrate this using an example from Kenya let us assume you are based in the district office of Nyeri North in Nyeri County You have either been given pivot tables or you will make them to analyze your data down to facility level So you require data for all the facilities within Nyeri North and you also require to see data for your peers ie the other districts within Nyeri County Once you have created a new datamart and have downloaded metadata as described in the previous section you should be able to set these two parameters in the settings dialog as illustrated below If the dialog is not visible you can access it by pressing the le button r DHIS Datamart kenya dmart File DataMart Reports Help gt A oe oa ga Be DHIS2 connection URL http hiskenya org Username bo
57. ption in addition to the boundary layer menu options It lets you apply value filters to the organisation units on the map The filter is removed when you close the filter window ao Using GIS 7 2 3 Facility layer BO EX Facility layer Organisation unit group set Group set Organisation unit level parent Level Facility 3 lt Central y 3 Kiambu County O Gatundu O Githunguri I Kiambu East 3 J Kiambu West oO Lari 3 Ruiru 3 J Thika East 3 L Thika West a Kirinyaga County _ Surrounding areas Y Show circular area with radius km 5 Legend Download Type nf lt 3 Sj Kenya Share Forest Reserve x Z Naona ya Umoja Nairobi MINA on 37 23177 Olda Nat E iJ A N LAT 0 95874 Google SVODOOK Facility layer Thematic layer 2 legend Facility layer legend Facility Gatundu Community Unit Dispensary B Health Centre A Hospital Nursing Home Private Medical Clinic 100 This layer displays icons that represent facilities based on the facility type Polygons will not show up on the map so make sure to select an organisation unit level that has facilities Click an icon on the map to open the context menu with two options Show information sheet provides you with data for several data elements for this organisation unit The data element group and perio
58. re of by the application Do not try to do this yourself by setting legends to e g 0 50 and 51 80 This will cause a usually unwanted gap in your legend set You can assign a legend set to an indicator or a data element in the Indicator Data element module This legend set will then be automatically selected when such an indicator data element is selected in the GIS 7 3 3 Download map as image Click the Download button on the map toolbar Enter a name in the textfield and click Download The browser will download a PNG image If the toolbar Download button is disabled you need to create a map first 7 3 4 Share map interpretation Open a favorite or save a new map as a favorite Then click the Share button on the map toolbar Type in your interpretation and click Share 35 Dashboards Setting up the dashboard Chapter 8 Dashboards Dashboards are intended to provide quick access to individual users to the data which has been stored in DHIS2 Dashboards consist of several sections some of which provide links to reports or mapview which have already been defined Other sections of the dashboard allow users to add charts which have been defined and made available through the charting module 8 1 Setting up the dashboard The dashboard is divided into two main sections The right side pane denoted as A in the screenshot below can be used to contain links to reports documents static reports report tables map views and an
59. rformance to the current target e Target line label Displays a label next to the target line 21 Using Data Visualizer Displaying a chart e Base line value Displays a horizontal line at the given domain value Useful e g when you want to visualize how your performance has evolved since the beginning of a process e Base line label Displays a label next to the baseline 6 11 Displaying a chart Y ou can display a chart based on your selections simply by clicking the Update button on the top centre menu This requires that you have selected one or more elements from all of the three dimensions data indicators data elements reporting rates periods relative fixed and organisation units units or groups Note that Months this year from the period dimension and the root organisation unit are selected by default Notice that you can hide and show individual data series in the chart by clicking directly on the series label in the chart they appear either at the top or to the right of the chart If you want to give the chart more space on your screen you can click on the triple left arrow button on the top centre menu This will collapse the left side menu You can get this menu back by clicking on the same button again 6 12 Displaying a data table After you have rendered a chart you can display the data in a table by clicking on the Data table button on the top centre menu next to Update This will show a table w
60. rting functionality in DHIS 2 Chapter 5 Using reporting functionality 5 1 Reporting functionality in DHIS 2 The reporting module in DHIS 2 provides a range of reporting alternatives and this section will explain how to use them to view and analyse data Another section explains how to configure and set up the various reporting tools Standard reports Standard reports are built on report tables but are more advanced in its design allowing for more cosmetics and styles These reports can also combine multiple tables and charts in the same report and be made available as one click reports that are very easy to use These reports can be downloaded as PDF files which makes them ideal for printing as well as sharing offline Dataset reports Dataset reports are simply a printer friendly way to look at the data entry forms with either raw or aggregated data over time or place The design used in data entry will be used also in the data set reports This will work only for data sets that has a custom data entry form set up Dashboard The fastest way to view your data The dashboard can display up to four updated charts as well as shortcuts to your favourite reports report tables and map views Each user can configure a personal dashboard Data Visualizer Do flexible visualizations of your data as charts and data tables Any numbe of indicators and data elements can be included Several chart types are available such as column stacked column
61. s option checked and all users will find their respective organisation unit when they open it The the same concept goes for the User organisation unit children checkbox 6 9 Selecting organisation unit groups You can break down the national level into organisation unit groups by simply selecting a group set in the combo box The groups in the selected group set will replace any selected organisation units in the organisation unit panel 6 10 Selecting chart options You can set various chart options by clicking on the Chart options header in the panel to the left e Show series data Displays the corresponding value next to columns and bars in the chart e Show trend line The trend line will visualize how your data evolves over time e g 1s performance improving or detoriating Makes sense when periods are selected as category e Hide chart subtitle Hides the title and subtitle of your chart e Hide chart legend Hides the legend and leave more room for the chart itself e Domain axis label Displays a label below the domain axis also referred to as the X axis Can give context information to the chart e g the type of periods being listed e Range axis label Displays a label next to the range axis also referred to as the Y axis Can give context information to the chart e g the unit of measure being used e Target line value Displays a horizontal line at the given domain value Useful e g when you want to compare your pe
62. se of the Mydatamart application is to manage a local datamart store which is populated by downloading small chunks of data from the central DHIS2 web application It also manages the details of ODBC connection parameters required to link Excel workbooks to your data The simplest way to start mydatamart exe is to double click on the icon on your desktop The application should open and show a window like Figure 9 1 Mydatamart on first open below MyDatamart gt el File DataMart Reports Help No datamart open Figure 9 1 Mydatamart on first open All of the functionality of mydatamart is available through the menu items in the upper menu bar Some of the more commonly used functions are also available through the image button bar immediately below the menu If you hover your mouse slowly over these buttons a tooltip window should show the functions of each 9 1 1 Maintaining the local datamart 9 1 1 1 Creating a new datamart Now the main purpose of mydatamart is to manage your personal datamart files so the first thing you will need to do s to create a new datamart You can create a new datamart either through the File gt New menu option or by pressing the button with the blue cross When you create this new datamart you will be prompted for a file name The extension dmart will be appended automatically to the name Give some thought to how and where you are going to store this file as it will soon be full of
63. set for aggregated datavaues as well as aggregated indicator values though in most cases you will require the same periodicity of databvalue and indicator value On the right hand s de you have the option to set the time period you are downloading The application will attempt to select a reasonable period for you Other than the very first time you download data the default should be to download the previous month s data Below the period selection section are the two buttons which actually initiate the download The first button is used to download data for orgunits below the root orgunit at the level which was specified previously So in the example it will download aggregated data at the facility level level 5 for facilities in Nyere North The second button is used to download aggregate data of our peers In this case 1t would ensure that we had data for all the districts in Nyere County This will allow the Nyere North user to analyze the data for all facilities in Nyere North as well as to compare the performance of Nyere North district with Nyere South district
64. t of available periods for that period type Move back forward one year by using the Prev Next buttons Then the report will be shown automatically Change any of the parameters above and the report will be updated automatically 22 Using reporting functionality Using organisation unit distribution reports Data Completeness Report Select organisation unit FiKanya F Downloadas PDF Download as Excel Central Download as CSV Configuration Coast E Kilifi County Kaloleni Based on complete data set registrations me a D Based on compulsory data elements E Malindi f Kwale County Based on number of registered data values Lamu County Mombasa County Integrated RH HIVAIDS Malaria TB amp Nutrition A Taita Taveta County Tana River County Prev Next Eastern Nairobi Monthly A NorthEastern Nyanza November 2010 A Data Completeness Report Kilifi Integrated RH HIVAIDS Malaria TB amp Nutrition Name Actual Target Percent On time Percent ie Family Medical 0 4 00 0 00 Amani Medical Clinic Kilifi 1 1 100 0 1 100 0 Bamba Health Centre 1 1 100 0 1 100 0 Bamba Medical Clinic 0 1 0 0 0 0 0 Bomani Dispensary 1 1 100 0 1 100 0 Chasimba H C 1 1 100 0 1 100 0 Chizi Medical Clinic 0 1 0 0 0 0 0 5 9 Using organisation unit distribution reports You can access the Orgunit Distribution r
65. te communication between different users and user groups This type of communication is important to facilitate feedback regarding data quality timeliness of submissions or to simply answer a question which a particular user may have Feedback messages are sent to a particular group of users and can be sent by all users who have access to the dashboard module In order to enable the receipt of feedback messages sent from the dashboard you must set the system setting Feedback recipients which is available from the Maintenance gt System settings dialog Be sure to define a user group e g Feedback recipients with all of the users who should receive feedback messages Refer to the section in this manual on User groups for more information of how to do this Once the Feedback recipients user group has been defined each time a feedback message is sent it will appear as a message in each of the Feedback recipients message queue within DHIS2 Note that messages will not be sent to users email addresses but will only appear within the DHIS2 application To send a new feedback message simply select Write feedback from the dashboard Provide a subject and text in the respective text boxes The message will appear in all of the specified users message queue Messages can be sent to specific groups of users who have been assigned to particular organisation units To write a new message simply click Messages from the dashboard screen and the
66. the latter The expression forms a condition which should assert that certain logical criteria are met For instance a validation rule could assert that the total number of vaccines given to infants is less than or equal to the total number of infants The validation rule analysis function will test validation rules against the data registered in the system Validation violations will be reported in cases where the condition defined through the validation rule expression is not met ie the condition is false Selecting what data to validate First enter a start date and an end date for which data should be included in the analysis The date picker widget may be used to select dates Using Data Quality functionality Running Validation Rule Analysis Second choose between including all validation rules or all validation rules from a single group Third choose between including the selected organisation unit only or the selected organisation unit with all children in the analysis Fourth select the organisation unit Finally click validate In Kenya HIS Maintenance Services Help Log out Validation Rule Run validation Validation Rule ee i Validation Rule Group Start date yyyy mm dd 2010 10 01 End date yyyy mm dd 2010 10 31 al Validation Rule Group All validation rules Data Analysis Validation Rule Analysis Std Dev Outlier Analysis Data source _Use captured data Min Max Outlier Analysis Gap Analysis
67. the value or updated the range and then re entered the value Disabled fields If a field is disabled grey 1t means that the field should not be filled The cursor will automatically jump to the next open field Data history By double clicking on any input field in the form a data history window opens showing the last 12 values registered for the current field organisation unit data element categoryoptioncombo in a bar chart This window also shows the min and max range and allows for adjusting the range for the specific organisation unit and data element combination Data Entry Bbanisation Unit Bamba Medical Clinic Data Set Integrated RH HIVAIDS Malaria TB amp Nutrition lv Bamba Medical Clinic October 2010 lt lt gt New ANC clients default null null Period id October 2010 Y a Use Section Form O Use Default Form Family Planning Removals Reproductive Health DHIS 2 Google Chrome FRI New ANC clients localhost 8180 dhis web mapping dhis web dataentry viewHistor 2 Re Visit ANC Clients New ANC clients default 2 Clients with Hb lt 7g dl Clients given IPT ist Dose Comment Min max limits 2 Clients given IPT 2nd Dose No commend axis 7 2 Client completed 4 ANC Visit a m imt 0 LLITNs distributed to ANC clients ANC clients counselled 2 ANC clients Tested HIV 2 ANC clients HIV ve ANC clients tested for syphilis ANC clients Syphilis tve ANC clients issued with preven
68. tive ARVs Infants tested for HIV at 6 wks Infants tested for HIV after 3 months Mothers HIV ve referred for follow up Partners HIV ve referred for follow up Infants issued with preventive ARVS Mother counselled on infant feeding options ANC Partners Counselled ANC Partners Tested ed E AA hi o o P 4 er gt a ES 2 Data entry Validating data in the form Follow Up In the data history window there is also a feature to tag or star a value E g a suspicious value that needs further investigation can be kept in the system but marked for Follow Up In the Data Quality module you can run a Follow Up analysis and view all values marked for Follow Up and then later edit the values 1f proved incorrect 2 2 3 Validating data in the form When all the available values for the form has been filled in you can run a validation check on the data in the form Click on the Run Validation button in the top right corner All validation rules which involves data elements in the current form dataset will be run against the new data Upon completion you will be presented with a list of violations or a simply a message that says The data entry screen successfully passed validation See the Data Quality chapter for information on how to define such validation rules When you have corrected any erroneous values and are done with the form the recommended practice is to click on the Complete button below the form to r
69. valuable data so you really do need to look after it You can create a backup at any time by simply making a copy of this file eg onto a USB memory stick Note The dmart file is actually an sqlite3 database file which you can also open and view or edit with any sqlite3 capable tool such as sqlitestudio When you create the new datamart the application will present a dialog like Figure 9 2 Creating a new datamart 41 Using MyDatamart Maintaining the local datamart File DataMart Reports DHIS2 connection URL Username Password My OrgUnit My analysis level No orgunit data you need to download metadata Figure 9 2 Creating a new datamart The first thing you must do is to establish a connection with your dhis server To do this enter the full url including http of the dhis server into the box labelled URL Then enter your online dhis user name and password Your password will not be saved anywhere on your machine To login press the button labelled Login If the login was successful you will be rewarded with a green tick icon next to the login button File DataMart Reports A DHIS2 connection URL http hiskenya org Username bobjolliffe KERR Password My OrgUnit My analysis level Logged in Figure 9 3 Logging in to dhis2 server 9 1 1 2 Populating the datamart with metadata 42 The local datamart is designed to store aggregated data values from dataelements and indicat
70. ve custom data entry forms and not for default or section forms You can access data set reports from the Report menu under Services A Criteria window will appear where you fill in the details for your report 19 Using reporting functionality Using resources Dataset The data set you want to display Reporting period The actual period you want data for This can be aggregated as well as raw periods This means that you can ask for a quarterly or annual report even though the data set is collected monthly A data set s period type collection frequency is defined in data set maintenance First select the period type Monthly Quarterly Yearly etc in the drop down next to Prev and Next buttons and then select one of the available periods from the dropdown list below Use Prev and Next to jump one year back or forward Use data for selected unit only Use this option if you want a report for an orgunit that has children but only want the data collected directly for this unit and not the data collected by its children If you want a typical aggregated report for an orgunit you do not want to tick this option Reporting Organisation unit Here you select the orgunit you want the report for This can be at any level in the hierarchy as the data will be aggregated up to this level automatically if you do not tick the option above When you are done filling in the report criteria you click on Generate The report will appear in html view

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