Determinants of TB data quality in completeness, accuracy, and timeliness for TB programme decision-making in Tshwane District : A protocol for a cross-sec tional analytical study
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Abstract
Background. The quality of health information is crucial for TB programme monitoring and decision -making. South Africa faces challenges in the quality of reported TB data as evidenced in discrepancies reported between different sources. This poses a need to systematically assess the quality of TB data from districts to understand factors that contribute to TB data quality for use in decision-making.
Objective. To determine factors influencing TB data quality for decision-making in the TB programme at a district level in South Africa.
Methods. The study will follow a cross-sectional mixed methods design using an explanatory sequential method to achieve triangulation between the two research methods. The study setting is the Tshwane Health District (THD). Data will be collected from multiple TB data sources in selected clinics and multilevel TB programme personnel. Data collection will be conducted over six months from July 2024 to December 2024. A process flow framework will be used to document the current TB data recording systems in THD. Validated data quality assessment tools (DAQs) will be used for data auditing purposes. Furthermore, a self-administered questionnaire, and one-to-one semi-structured interviews will be used for qualitative data collection. Triangulation will be achieved by integrating both research method findings. The study will be initiated after obtaining approvals from relevant authorities.
Conclusion. This research aims to gain insight and understanding of behavioural, systemic, organisational and technical factors that influence health data quality using TB programme data as a lens. This will enable quantifying of data quality elements and contribute to the body of research with regards to data quality in health.
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