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The Datasets Harmonisation Process Experiences and Lessons A Case of Tanzania 8th February 2011 Masoud H. Mahundi m

Background. 1970sA simple system of data collection KalamazooOnly collecting Mortality and Morbidity How many cases and how many deaths on specific diagnosisIts main potential was simplicityFew data easy to understand easy to fill in quickAs days went by, managers wanted More data ele

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The Datasets Harmonisation Process Experiences and Lessons A Case of Tanzania 8th February 2011 Masoud H. Mahundi m

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    1. The Datasets Harmonisation Process Experiences and Lessons – A Case of Tanzania 8th February 2011 Masoud H. Mahundi mmahundi97@yahoo.com

    2. Background 1970s A simple system of data collection – Kalamazoo Only collecting Mortality and Morbidity How many cases and how many deaths on specific diagnosis Its main potential was simplicity Few data – easy to understand – easy to fill in – quick As days went by, managers wanted More data elements and broken down definitions

    3. Background …. Cont’d 1980s A new system was developed under essential drugs programme District Processing File (DPF) was introduced Relatively more inclusive and so more data Did not enjoy much appreciation As 1980s was the decade where most Vertical Health Programmes were established e.g. NACP in TZ (1988) and EPI (Started in Ethiopia in 1980 came to TZ later) Each VHP wanted more data with in a certain specific system

    4. Background …. Cont’d 1990s 1993 a new, semi-computerised information system was introduced The system took four years to roll out, 93 – 97 Crafted by the HMIS (MTUHA) supported by DANIDA It had 12 data collection and reporting books This is what is in transformation right now

    6. Background …. Cont’d 2000s After a short while – tools realised to miss important data Most VHP programmes’ data were found missing New programmes and sub-programmes were born, NMCP – 2007 PMTCT – 2003 Eventually Bagamoyo – Deficiencies of MTUHA Kibaha – information outside MTUHA The VHP massively started revisions (Tools and Procedures)

    7. There were two approaches VHP Based; Datasets = VHP Advantage: VHPs could help the HMIS for matters of printing and data flows - RESOURCES Disadvantage: National HMIS cannot easily manage the national indicators Service Based Datasets = Services Making sure that every indicator is catered for VHP get their data from different form (or datasets) Advantage: all the indicators are catered for as they are the source of data elements Disadvantage is programmes data are scattered We chose the latter

    8. What We learned The Process It should involve the stakeholders lead by the MOHSW Deciding on Data Any other new data Important is not only the OUTPUT, but also the PROCESS Politicians – Authority D. Partners – Support Beneficiaries – their commitment It is a give and take, not to be rigid with standards Important to introduce the DHIS to the harmonising team It has to be incremental Flexibility Strategy has to be there – periodic review of the tools

    9. THANK YOU

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