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The Health Information Systems in Tanzania

The Health Information Systems in Tanzania. By Faraja Mukama. Presentation outline. Health care structure and HMIS Collected information Working situation: Problems Problems: Effects to the HMIS HISP ideas. National level (MoH). Regional level. Flow of referral information.

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The Health Information Systems in Tanzania

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  1. The Health Information Systems in Tanzania By Faraja Mukama

  2. Presentation outline • Health care structure and HMIS • Collected information • Working situation: Problems • Problems: Effects to the HMIS • HISP ideas

  3. National level (MoH) Regional level Flow of referral information Flow of plans and resources Flow of information District level Health facility level Consultant hospital Governmental Hospitals, Health centers, Dispensaries Private and NGOs Hospitals, Health centers, Dispensaries Regional hospital District hospital Health center Dispensary Village (community) level (VHW, TBA, CBD) Health care stucture & The HMIS

  4. Collected information • Main source: Routine health care - Outpatients - Inpatients - Mother and Child Health (MCH): immunization, family planning, weighing, antenatal services - Community outreach: Working with Village Health Workers (VHW), Traditional Birth Attendants (TBA), Community Based Distributors (CBD) • Additional: Survey data

  5. Data collection and reporting • Originating at the health facility level - Routine health care activities • Using HMIS designed registers and forms - Twelve registers in total - Tally sheets: children vaccination • Using Vertical programmes forms: e.g. TB, Dental care • Reporting to the higher level in the hierarchy • Manually at the health facility level, computerized at District (started in novemeber 2004), Regional and National level.

  6. Report preparation – Health facility level

  7. Report prepartion at the district level – Before computerization

  8. Working Situation: Problems • Lack of resources or disproportional distribution of resources - human - material: tools for data analysis, storage tools (folders) including transport • Lack of data collection and managerial skills - No regular training • Late receiving of data collection tool from the MoH • Poor/lack of supervision and feedback

  9. Problems: Effects to the HMIS • gaps in data collection • poor (minimal) analysis of data • poor data quality • Late reporting resulting in incompleteness of reports • minimal use of information - Information flows reflecting the requirements of higher levels, withoutaddressing the local level’s information needs

  10. HISP ideas • Support decentralization • Build local information culture - addressing fragmantation of data - a software for data analysis and reporting - through training health workers

  11. MCH section: Children Weighing

  12. Dispensary Outpatient section: Patients in a queue

  13. Data storage

  14. Data storage

  15. Thanks

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