An assessment of family planning program data quality: A case of Tarime District
An evaluation submitted to the School of Public Administration and Management (SOPAM) in partial fulfilment of requirements for awards of the degree of Masters of Health Monitoring and Evaluation of Mzumbe University
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| Formato: | Dissertation |
| Idioma: | inglês |
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Mzumbe University
2026
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| Acesso em linha: | https://scholar.mzumbe.ac.tz/handle/123456789/2188 |
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| author | Sufian, Magetta S. |
| author_facet | Sufian, Magetta S. |
| author_sort | Sufian, Magetta S. |
| collection | DSpace |
| description | An evaluation submitted to the School of Public Administration and Management (SOPAM) in partial fulfilment of requirements for awards of the degree of Masters of Health Monitoring and Evaluation of Mzumbe University |
| format | Dissertation |
| id | ir-:123456789-2188 |
| institution | Mzumbe University |
| language | English |
| publishDate | 2026 |
| publisher | Mzumbe University |
| record_format | dspace |
| spelling | ir-:123456789-21882026-07-15T10:38:05Z An assessment of family planning program data quality: A case of Tarime District Sufian, Magetta S. Family planning Family planning data quality Family planning program Logic model An evaluation submitted to the School of Public Administration and Management (SOPAM) in partial fulfilment of requirements for awards of the degree of Masters of Health Monitoring and Evaluation of Mzumbe University BACKGROUND: Family planning encompasses the accessibility of services, policies, information, attitudes, practices and commodities, that gives women, men, couples, and adolescents the ability to avoid unintended pregnancy and choose whether and or when to have a child and the preferable number of children. It is a cross-sectoral intervention that can hasten progress across the sustainable development goals (Starbird, 2016). Inadequate information and poor data quality on family planning intervention program seems to affect contraceptives uptake records across different level of response. Investing on family planning program data quality assessment can bridge up the gap between the observed differences. OBJECTIVES: The aim of this evaluation study was to determine the tools used by health care providers in recording and reporting family planning data at facility levels, to assess how data collected at different levels with different organisation have similarities, and exploring how different organizations assess family planning data quality collected at different levels. METHODS: The study was conducted at Tarime district in the DMO’s office, 19 health facilities, RMO’s office and Program’s office. Qualitative research design was used in this study, purposive sampling methods applied, the researcher used both primary and secondary data through questionnaires and documentary review respectively, and lastly data analysed by excel and Atlas.ti software. RESULTS: Family planning data recording and data reporting tools was available in all public health facilities visited, however, there were data disparity between health facility and district level, as well as District and Regional office. Though data similarities were observed between District office and program office. Data quality assessment was not vii done in the health facilities for almost 90% but seems to be done at the District and in the Regional levels in collaboration with partners. CONCLUSSION: The findings concluding that Family planning program use MTUHA book no 8 which consist of three books namely registers, tally sheet and summary report books as a data recording and data reporting tools in the health facilities, despite that tools are available but still the quality of data remained doubtful due to data disparities observed in the documentary review across different level of response. Family planning data quality assessment is only performed at the District and in the Region level but rarely and improperly conducted at facility levels due to some observed challenges like inadequate knowledge for FP DQA, lack of skilled team, lack of standardized data quality assessment tools, mistrust of data collectors at different levels, data manipulation to fulfil donors requirements, parallel reporting and report overburden at the health facilities. Private 2026-07-14T11:56:20Z 2018 Dissertation APA https://scholar.mzumbe.ac.tz/handle/123456789/2188 en application/pdf Mzumbe University |
| spellingShingle | Family planning Family planning data quality Family planning program Logic model Sufian, Magetta S. An assessment of family planning program data quality: A case of Tarime District |
| title | An assessment of family planning program data quality: A case of Tarime District |
| title_full | An assessment of family planning program data quality: A case of Tarime District |
| title_fullStr | An assessment of family planning program data quality: A case of Tarime District |
| title_full_unstemmed | An assessment of family planning program data quality: A case of Tarime District |
| title_short | An assessment of family planning program data quality: A case of Tarime District |
| title_sort | assessment of family planning program data quality a case of tarime district |
| topic | Family planning Family planning data quality Family planning program Logic model |
| url | https://scholar.mzumbe.ac.tz/handle/123456789/2188 |
| work_keys_str_mv | AT sufianmagettas anassessmentoffamilyplanningprogramdataqualityacaseoftarimedistrict AT sufianmagettas assessmentoffamilyplanningprogramdataqualityacaseoftarimedistrict |