Assessment of the factors associated with Quality of Routine HIV Viral Load Data Collected at Health Facilities in Mbeya Region.

Amani, David Richard (2023) Assessment of the factors associated with Quality of Routine HIV Viral Load Data Collected at Health Facilities in Mbeya Region. Masters thesis, The Open University of Tanzania.

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Abstract

Background: Routinely collected health data are crucial for health sector planning. In developing countries, the insufficient quality of the data produced by health data systems limits their usefulness in regard to decision-making. The aim of this study was to determine level of quality of routine HIV data and associated factors in Mbeya region, Tanzania. Methods: This cross-sectional descriptive and analytical study included 108 health centres and their respective data clerks who were responsible for data collection in public and private health centres. The technique and tools used were an interview with a self-administered questionnaire. The dependent variables were data quality. The independent variables were socio-demographic and organizational-related factors. Bivariate logistic regression was used to identify factors associated with data completeness and timeliness. Results: A total of 106 data clerks with median age of 28 (IQR: 22-28) years were recruited. The level of data quality was low (44.3% for data completeness and 15.1 for data timeliness). Individual factors associated data quality were younger age (OR 1.91, 95% CI 1.66-5.45 for age 25-29 years; OR 2.39, 95% CI 1.98-5.83 for age 20-24 years) and attainment of high education level (OR 1.86, 95% CI 1.65-5.31 for diploma level; OR 1.63, 95% CI 1.51-5.21 for degree level). Organizational factors associated with data quality were access to necessary resources (OR 1.29, 95% 1.10-2.68); feedback on quality of HIV data (OR 2.14, 95% CI 1.70-6.59); Incentives (OR 1.87, 95% 1.15-4.10); monitoring quality of HIV data (OR 4.17, 95% CI 2.80-9.17); and capacity building opportunities (OR 2.39, 95% CI1.80-7.14). Conclusion: Data quality in terms of completeness and timeliness were very low. Individual and organizational factors should be considered when planning for interventions to improve the quality of routine HIV viral data collection. Keywords: HIV Viral, Load Data, Quality completeness, Timelines, Mbeya Region

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