Daniel Okoth Okoth Odhiambo, Dr. Samuel Wabala


Health care service provision in the devolved system of governance refer to the various processes undertaken by sub-national governments through which inputs like; finances, human resources, equipment, medical drugs, and other essential supplies are amalgamated to facilitate the delivery of health interventions to the populace. The Kenyan Health Policy 2012-2030 has prioritized the elimination of communicable diseases such as HIV and AIDS in line with the right to the highest attainable standard of health. However, data quality has been found to act as a key barrier to effective HIV/AIDs programming and intervention, a common phenomenon in developing countries. It is against this backdrop that this study sought to assess whether data management practices affect the performance of HIV programs. Specifically, the study examined data handling operating procedures, data capture tools affect the performance of HIV programs in Health facilities in Mombasa County, Kenya. The descriptive research design was adopted.  The target population of the study was 285 registered health facilities in Mombasa County Kenya with a sample size of 111 public and private facilities.  Primary data was collected with the use of a questionnaire. Quantitative data was analysed using descriptive and inferential statistics with the help of SPSS software. Qualitative data was analysed using thematic analysis. The study results were presented through use of tables and figures. The study concludes that M&E standard operating procedures have a significant effect on Performance of HIV Program in Health Facilities in Mombasa County, Kenya. The study also concludes that data capture tools h a significant effect on performance of HIV Program in Health Facilities in Mombasa County, Kenya. Based on the findings, this study recommends management of health facilities in Mombasa County, Kenya should ensure effective documenting procedure to ensure information is properly stored and can easily be retrieved.

Key Words: Data management practices, Data handling operating procedures, Data capture tools, HIV programs, Health facilities

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