1. USE OF DHIS2 IN TANZANIA Walter M. Ndesanjo ICT Unit MINISTRY OF HEALTH AND SOCIAL WELFARE

2. CONTENTS CHALLENGES DHIS2 PROGRESS INTRODUCTION

3. Tanzania first adopted DHIS as the HMIS tool in the year of 2007. This was followed by the review of the HMIS tools to fit the current needs from HMIS and vertical program. The revised tools were customised into DHIS2 and piloted in Pwani Region in 2011. The results of the pilot demanded another review of the tools to accomodate few changes from the stakeholders. Implmentation of the tools and DHIS2 proceeded to next 5 regions in 2012. In December 2013 Tanzania completed rolling out of the HMIS tools and DHIS2 in the remaining 19 Regions. Todate we are receiving data monthly from all 25 regions and 167 district councils. INTRODUCTION

4. Train Health Facilities workers District HMIS/ DHIS2 Review tools DHIS2 Central / MOH Region 1 2 3 1.Facility create paper Report 2.District receive paper based report enter into DHIS2 3.Region Monitors progress, Data quality and provide feedback 4.Central Receive reports, provide feedback and disseminate 4 IMPLEMENTATION APPROACH

5. Created a different team from DHIS2 Implementer group to coordinate issues of data cleaning and troubleshouting A team is made up of 2/3 technical staff The team composed of technical staff from MoHSW, UDSM and other stakeholders such as IHI, CHAI, Jhpiego etc. Each team is assigned three Regions around 21 councils The team prepare report based on Data Completeness, Consistence and data quality using validation rules. The report are submitted to RMOs/DMOs and HMIS focal person for accountability. The region which has poor reporting status, RMO is tasked to followup for improvement The cut off for compleness report is 85% DHIS2 Implementation Progress

6. 6 c Data Completeness Monthly Report August 2014 Period:Facility Name:MOH - Tanzania Facility NamePostnatal Labour and Delivery ANCDTCChild Health Family Planning IPDOPDPMTCT MC PMTCT PCR Tracer MedicineAverage Pwani Region95.6094.7099.1098.5095.6093.0096.3094.80 90.595.34 Njombe Region92.5096.2098.1087.7089.8096.0091.2087.90 5.267.680.70 Arusha Region95.7099.50100.4097.7097.6099.10100.0097.80 107.6108.596.080.35 Tanga Region93.2097.3098.1093.8096.1097.0091.5095.30 70.771.995.377.96 Mtwara Region96.9097.3097.4096.1096.40 91.3093.80 94.193.289.977.77 Morogoro Region92.5091.1092.5096.6093.9095.0098.1094.10 75.476.997.177.35 Mara Region95.0094.8096.7095.0095.7097.8082.1092.90 71.468.392.876.62 Lindi Region95.3095.7094.8095.8091.4091.0092.0091.30 98.697.795.476.61 Kagera Region86.5090.5090.7096.7099.60101.8083.00##### 25.424.392.176.55 Dar Es Salaam Region95.5094.7098.4093.8095.6099.6084.6088.00 95.394.990.676.44 Geita Region91.7097.30 93.5094.4096.4084.2094.70 20.88.390.576.36 Kilimanjaro Region97.00100.00 91.3097.6098.1077.8082.60 45.860.287.075.58 Simiyu Region96.4098.8099.4086.2090.1098.1083.3090.60 122.0180.387.775.51 Shinyanga Region95.0090.6091.0093.7091.0095.5081.8095.80 87.245.595.975.48 DHIS2 Implementation Progress

7. 7 So far all users from 167 councils are using the DHIS2 online. Each council has HMIS and DRCHco focal person responsible for reporting HMIS data through DHIS2 under the supervision of DMO. M&E specialist deployed to Each Zone (8 zones) Continue Integrating/inclusion of different programs into DHIS2 RCH, PMCT, Malaria, NACP TB& LP and Laboratory DHIS2 PROGRESS

8. 8 Integrated DHIS2 with other System to share data: An electronic Integrated Diseases Surveillance and Response system (eIDSR). Human Resource for Health Information System (HRHIS) HRHIS and TIIS integrated Master Facility List (On Progress) API already created, (eLMIS) Integration on progress DHIS2 PROGRESS

9. 9 DHIS2 eIDSR HFR HRHIS eLMIS

10. 10 Improvement of Data Center at the Central level [MoHSW] Improved MoHSW internet Connectivity (20 Mbps speed) Last mile connectivity to Zonal and Regional Referral Hospitals and linking them Installed LAN at 28 Council also to improve data sharing at Council level Infrastructure to Support DHIS2

11. 11 Some Council do not have reliable internet connectivity. Overwhelming HMIS focal at council level have contributed to quality of data issues Lack of good staff secession plan Fund to improve (LAN) infrastructure at the councils Shortage of collecting and reporting tool at the facility level. CHALLENGES

12. Asante Sana