Thesis:

Influence of organizational factors on data quality: a case of HIV and aids data management in health facilities of Bujumbura Mairie province, Burundi

Data quality is still an issue in health facilities since data reported into DHIS2 is different to those shared with other implementing partners intervening in HIV/AIDS program as well as the data source (registers and other documents used at the health facility level). Therefore, the intention that guided this study was to document how organizational factors determines HIV and AIDS data management in Bujumbura- Mairie’s health facilities. The study was guided by the following objectives; Influence of capacity building on the quality of HIV/AIDS data management, influence of incentives and rewards on the quality of HIV/AIDS data management, and influence of organizational structure on the quality of HIV/AIDS data management. To guide this research study, two theories were used, namely Rationality Decision making model and Carbone's Evidence-Based Health Information System. A mixed research approach was used to collect data from targeted health facilities using a questionnaire installed into KoboCollect. Bujumbura-Mairie has 199 health facilities, of which 66 offer comprehensive HIV and care management to beneficiaries. The population that was targeted by the study was 273 among them 200 Health providers working in HIV care management services and 73 health management information system (HMIS) of the 66 health facilities. Stratified random sampling technique was applied. Therefore, the sample size of the study is 194 from the two categories of health facility staff. Collected data was analyzed using SPSS, as data was collected using kobo-collect tool. From the findings the capacity building, organizational structure, incentives, and rewards have a positive influence on the data quality for health facilities. In conclusion the study determined that there is a robust correlation involving data quality and capacity building in health facilities of Bujumbura Mairie province, Burundi (r=0.833, p=0.000), incentives and rewards was also determined to have a robust as well as positive relationship with data quality (r=0.777, p=0.000). Organizational structure was determined to command a strong as well as positive association with health data quality of (r=0.603, p=0.000). To summarize, the research found out that the variables of the study such as capacity building, organizational structure and incentives and rewards commands a robust as well as favorable association with the health data quality.