Determinants of Routine Health Management Information System Data Quality at Primary Health Care Facilities in Ilala Municipality, Dar es salaam Region-Tanzania

Nyondo, Trust Goodson (2020) Determinants of Routine Health Management Information System Data Quality at Primary Health Care Facilities in Ilala Municipality, Dar es salaam Region-Tanzania. Masters thesis, The Open University of Tanzania.

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Abstract

The main objective of this study was to assess determinants of data quality of the Health Management Information System (HMIS) in primary health care facilities in Tanzania, a case study of Ilala Municipality in Dar es Salaam. The specific objectives were to assess the efficacy of routine supportive and feedback mechanisms (RSS&FM), to assess the extent to which terms of employment affects HMIS data quality, and to assess the efficacy of availability of data collection funds in HMIS data quality. This study picked a random sample of 67 health workers out of 1,182. Selection of health workers was done from 3 hospitals, 5 Health Centers and 10 dispensaries of which were also randomly selected out of 16 hospitals, 23 Health Centers and 175 Dispensaries available in Ilala Municipal. All these were done at confidence level of 95% and level of precision of 5%. Qualitative and quantitative data were used in analysis which derived from close and open-ended questions of a structured questionnaire. The data collected were descriptively and analytically analyzed. The linear regression was used to estimate the effects of three primary exposures on HMIS data quality. The study findings indicate that HMIS data quality is positively affected by the three factors that were assessed (RSS&FM, Terms of employment and availability of funds for data collection. This study recommends the Government to put more emphasize on RSS&FM and make sure that all facilities have a budget line that support data collection activities so as to improve data quality for evidence based decision making. Also, this study recommends the Government to ensure that there is enough job security even to private employees so that they perform better in data quality. Keywords: Health, Data Quality and Information System.

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