Upload
vodien
View
242
Download
1
Embed Size (px)
Citation preview
Slide 1
THE UNITED REPUBLIC OF TANZANIA
HEALTH DATA COLLABORATIVE (THDC) LAUNCH MEETING
Update of M&E Strengthening Initiatives (M&E SI)
A Tanzanian Platform for Health Information and
Accountability
11- 12 September 2017
By: Claud John Kumalija
M&E Policy and Planning Ministry of Health - CDCEC
Slide 2 Background: Situation of Health Data between 2004 -2008
Slide 3
Monitoring and Evaluation Strengthening
Initiatives (M&E SI)
• In year 2009, the Health Strategic Plan III (2009 –
2015) recognized the importance and established
Monitoring and Evaluation Strengthening Initiatives
(M&E SI)
• Strengthening of Monitoring and Evaluation is
regarded as the pillar for improving the quality of
health care and health service delivery.
Slide 4
Responsibilities of Monitoring and Evaluation
• Monitoring and Evaluation Section of the Ministry of Health –
CDGEC is the custodian of Health Statistics
• It is Mandated and work under the umbrella of the National Bureau
of Statistics (NBS)
• It is responsible to ensure smooth implementation of data collection,
analysis, dissemination and use among health partners
• It is responsible to collect routine data, conduct demographic health
surveys, health facility assessment and surveillances
• It is responsible to generate key health indicators and publication of
core health reports
Slide 5
Key Health indicators generated
to measure the Health Sector and interventions
• Sustainable Development Goals (SDGs)
• Health Sector Strategic plan (HSSP IV)
• Comprehensive Council Health Plan (CCHP)
• Government Health Budget implementation
• Health Basket Fund (HBF)
• Results Based Financing (RBF)
• Vertical Programs (HIV, TB and Malaria)
• Human resource for Health (HRH)
• Reproductive Maternal and New Born Child Health (RMNCH)
• Tracer Medicine
• Integrated Disease Surveillance and Respond (IDSR)
• Health facility Star Rating
• Ruling Party Manifesto
• Other Government, Funding and Implementing Partner’s indicator needs
• etc
Slide 6
Annual Health Statistical Publications
Slide 7
Periodic Health Demographic and Facility
Heath Surveys
Slide 8
Evaluation
of the
Health
Sector and
programs
Slide 9
Mwanza 16
Geita 16b Simiyu 21b
Shinynga 21
Tabora 20 Singida 12
Dodom 11
Iringa 2
Morgoro 7
Manyara 13
Pwani 5
Lindi 3
Mtwara 15 Ruvuma 4
Njombe 2b
Mbeya 10
Rukwa 19
Katavi 19b
Kigoma 18
Kilimanjaro
1
Arusha 14
Mara 9
Kagera 17
Tanga 6
DSM 8
Topregions
Uppermiddle
Lowermiddle
Lower
RegionalRankingonHealthSystemStrengthening
Example: Analysis of the Regional Ranking of the Health
Strategic Plan (HSSP III) indicators 2015
Slide 10
Childhood Mortalities(per 1,000 live births
Example: Analysis to track Millennium Development
Goals (MDGs) year 2000 - 2015
Slide 11
• Since year 2013 Tanzania has been
Producing and submit ICD -10 data to the
World Health Organization (WHO)
International Classification of Diseases (ICD -10)
Slide 12
Example: Trend Analysis of Hospital Mortality and
Cause of Death in Mainland Tanzania
Year (2006 – 2015)
Slide 13
Tanzania HMIS(MTUHA) and DHIS2
• Currently, data in the Health Sector is neither purely
electronic nor purely manually rather it is a mix one that is
manual and electronic.
• Data system is paper based at facility levels (Dispensary -
6259, Health Centre - 768 and Hospitals -257) where
HMIS/MTUHA is in use
• Data system is computerized at District/Councils levels with
(DHIS2 application) to all 184 Councils, 26 Regions and
through web based up to Central level with full access day and
night
Slide 14
HMIS/MTUHA Facility Data Tools (Register, Tally Sheets, Monthly Summary) Forms)
14
Slide 15
Data warehouse
DHIS 2
LMIS
HR EMR
Data from Mobile devices
-Analytics -Meta data -Visualising tools
Dashboard
Graphs
Maps
Web Portal
Mobile
DHIS2 Applications at District and above
Slide 16
Currently 46 countries, 25,000 users monthly
access DHIS2
National coverage Partial/Small scale
Under pilot
Not implemented
Slide 17
OVERVIEW OF TANZANIA ROUTINE HEALTH DATA
Google: Tanzania HMIS
Slide 18 18
Tanzania DHIS2 Dash Board/Web Portal
Slide 19
Slide 20
No Organization Software (Database)
1 Health Management Information System (HMIS) DHIS
2 Comprehensive Council Health Plan (CCHP) DHIS
3 National Tuberculosis and Leprosy program (TBLP) DHIS
4 Health System Strengthening ( HSS) DHIS
5 IVD DHIS-VIMS
6 National Malaria Control Program (NMCP) DHIS
7 National AIDS Control Program (NACP) DHIS - CTC2 Database
8 Global Fund Coordination Unit DHIS
9 Reproductive Maternal New Borne Child Health (RMNCH DHIS
10 Human Resource for Health Information System (HRHIS) DHIS, TIIS
11 Integrated Disease Surveillances and Response (IDSR) DHIS- IDSR
12 Health Facility Star Rating DHIS
13 Health Basket Fund (HBF)
DHIS
14 Results Based Financing (RBF) DHIS
Health Programs Currently using DHIS2
Slide 21
Areas where you can find heath data, Indicators
and Reports and other health information
• Health data, information and reports are currently available
at:-
• www.opendata.go.tz
• www.moh.go.tz
• https://hmisportal.moh.go.tz
• www.hfrportal.ehealth.go.tz
• These websites link to national websites including the
National Bureau Statistics (NBS), eGA, Heath Universities
etc.
Slide 22
Existing Key Challenges to the Tanzania
data Systems
• Management of Data at facility levels (Dispensary - 6259, Health Centre - 768 and Hospitals -257) is paper based and tedious (Call ICT for paperless innovations)
• Quality of routine data collected from the health facilities is a challenge (Develop and operationalize data quality assurance plan)
• Low capacity of health staff at data collection point on data analysis, interpretation, dissemination and use (Mentoring and on job, Introduce training to health training institutions, propagate the culture of data friendly)
• Infrastructure and limited budget at data collection points for enabling data system strengthening (The Government and Funding Partners to allocate recommended funds to M&E)
Slide 23
Key challenges facing M&E
• Fragmentation and multiple data initiatives across
the Health Sector i. Parallel funding to program data, existing of
Parallel routine reporting systems such as IVD, HIV PEPFAR - DATIM is a challenge
ii. Un coordinated National surveys such SPA (USAD), SARA (Global Fund), SDI (World Bank) collecting almost same indicators
iii. Existing of databases which operate in parallel to DHIS2 National database such as Laboratory Information System (LIS)
Slide 24
Acknowledgement
• Members of the M&E Technical working group across the
Health Sector under TC-SWAp
• M&E Funding partners lead by the Global Fund, The Royal
Embassy of Netherlands and PEPFAR (CDC) - Tanzania
• Implementing partners lead by the PEPFAR(USAID) - Tanzania ,
• International Technical Assistant lead by WHO and PEPAR(CDC)
Tanzania
• University of Dar es Salaam working with the Oslo University
of Norway on DHIS2, MUHAS, NIMR, IHI, Mzumbe , OUT and
Muhimbili National Hospital
• National Bureau Statistics (NBS) working with International
Technical Assistances such as MEASURE , MACRO, ICAP etc
• FBO, Parastatal, NGOs and CSCOs
• Health Facility Staff, Councils, Regions and the General Public
Slide 25
Thank You