Post on 03-Jan-2016
description
7 October 2005 1
The Health Information Systems in Tanzania
ByFaraja Mukama
7 October 2005 2
Presentation outline
Health care structure and HMIS
Collected information
Working situation: Problems
Problems: Effects to the HMIS
HISP ideas
7 October 2005 3
Health care stucture & The HMIS
Flow
of plans and resources
Flow
of information Governmental
Hospitals, Health centers, Dispensaries
Health facility level
Private and NGOsHospitals, Health
centers, Dispensaries
Village (community) level(VHW, TBA, CBD)
National level (MoH)
Regional level
District level
Flow of referral information
Dispensary
Health center
District hospital
Regional hospital
Consultant hospital
7 October 2005 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
7 October 2005 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 careReporting to the higher level in the hierarchyManually at the health facility level, computerized at District (started in novemeber 2004), Regional and National level.
7 October 2005 6
Report preparation – Health facility level
Filling a number of forms in duplicate within the Reporting
book Book 10
Individual headsfor MTUHA in
different programmes in a particular health
facility
Head of MTUHA in a particular Health facility
Individual headsfor MTUHA in
different programmes in a particular health facility
MTUHA report preparation at the health facility
Totalizing data in the OPD register
Book 5
Totalizing data in the Antenatal care register
Book 6
Summarizing data in the Health facility Data book
Book 2
Totalizing data in the Deliveries register
Book 12
Totalizing data in the Dental register
Book 11
Totalizing data in the Community register
Book 3
Totalizing data in the Ledger
Book 4
Totalizing data in the department
sheets
Totalizing data in tally sheetsF201-F204
Totalizing data in the Diarrhea cases register
Book 9
Totalizing data in Family planning register
Book 8
Transcribing the data from theHealth facility Data book to the
Reporting bookBook 10
Totalizing data in the Child register
Book 7
Note: I assume that the particularhealth facility provides all the servicesrequired in the reports. Most of the health facilities provides some of the services
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7 October 2005 7
Report prepartion at the district level – Before computerization
MTUHA report preparation at the district level
Responsible MTUHA health worker at the district
Reports from the health facilities
Recording Quarterly Reports
Sorting reports into the type of health facility
e.g. hospital or dispensary
Recording Notifiable diseases
Recording staffing and equipment and
physical structure
Recording Annual reports
District Processing File
Recording the Health facilities' details e.g. code
number and type and date of reporting.
Aggregation into an overall district report on Notifiable disease
Aggregation into an overall district report
on staffing and equipment and physical structure
Aggregation into overall district quarter report
Aggregation into overall district annual report
Group of responsible MTUHA health workers
at the district including the DMO or DNO
Note: Some of the data (reports) are being sent directly to the region, that is, without being processed or aggregated at the district, some of which are being sent monthly, for example, laboratory data which are mainly from hospitals. A detailed annual report from the health facility (individual health facility) is sent to the regional together with a summarized (overall district) annual report
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7 October 2005 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 MoHPoor/lack of supervision and feedback
7 October 2005 9
Problems: Effects to the HMIS
gaps in data collectionpoor (minimal) analysis of datapoor data quality Late reporting resulting in incompleteness of reportsminimal use of information- Information flows reflecting the requirements of
higher levels, without addressing the local level’s information needs
7 October 2005 10
HISP ideas
Support decentralization
Build local information culture- addressing fragmantation of data
- a software for data analysis and reporting
- through training health workers
7 October 2005 11
MCH section: Children Weighing
7 October 2005 12
Dispensary Outpatient section: Patients in a queue
7 October 2005 13
Data storage
7 October 2005 14
Data storage
7 October 2005 15
Thanks