Zoë M McLaren1, Alana R Sharp1, Jifang Zhou1, Sean Wasserman2, Ananta Nanoo3. 1. Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, USA. 2. Department of Medicine, University of Cape Town, Cape Town, South Africa. 3. Centre for Tuberculosis, National Institute for Communicable Diseases, Johannesburg, South Africa.
Abstract
OBJECTIVE: To assess the performance of healthcare facilities by means of indicators based on guidelines for clinical care of TB, which is likely a good measure of overall facility quality. METHODS: We assessed quality of care in all public health facilities in South Africa using graphical, correlation and locally weighted kernel regression analysis of routine TB test data. RESULTS: Facility performance falls short of national standards of care. Only 74% of patients with TB provided a second specimen for testing, 18% received follow-up testing and 14% received drug resistance testing. Only resistance testing rates improved over time, tripling between 2004 and 2011. National awareness campaigns and changes in clinical guidelines had only a transient impact on testing rates. The poorest performing facilities remained at the bottom of the rankings over the period of study. CONCLUSION: The optimal policy strategy requires both broad-based policies and targeted resources to poor performers. This approach to assessing facility quality of care can be adapted to other contexts and also provides a low-cost method for evaluating the effectiveness of proposed interventions. Devising targeted policies based on routine data is a cost-effective way to improve the quality of public health care provided.
OBJECTIVE: To assess the performance of healthcare facilities by means of indicators based on guidelines for clinical care of TB, which is likely a good measure of overall facility quality. METHODS: We assessed quality of care in all public health facilities in South Africa using graphical, correlation and locally weighted kernel regression analysis of routine TB test data. RESULTS: Facility performance falls short of national standards of care. Only 74% of patients with TB provided a second specimen for testing, 18% received follow-up testing and 14% received drug resistance testing. Only resistance testing rates improved over time, tripling between 2004 and 2011. National awareness campaigns and changes in clinical guidelines had only a transient impact on testing rates. The poorest performing facilities remained at the bottom of the rankings over the period of study. CONCLUSION: The optimal policy strategy requires both broad-based policies and targeted resources to poor performers. This approach to assessing facility quality of care can be adapted to other contexts and also provides a low-cost method for evaluating the effectiveness of proposed interventions. Devising targeted policies based on routine data is a cost-effective way to improve the quality of public health care provided.
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