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Cost-effectiveness of a mentorship and quality improvement intervention to enhance the quality of antenatal care at rural health centers in Rwanda.
International Journal for Quality in Health Care 2018 August 26
Objective: To estimate cost-effectiveness of Mentorship, Enhanced Supervision for Healthcare and Quality Improvement (MESH-QI) intervention to strengthen the quality of antenatal care at rural health centers in rural Rwanda.
Design: Cost-effectiveness analysis of the MESH-QI intervention using the provider perspective.
Setting: Kirehe and Rwinkwavu District Hospital catchment areas, Rwanda.
Intervention: MESH-QI.
Main outcome measures: Incremental cost per antenatal care visit with complete danger sign and vital sign assessments.
Results: The total annual costs of standard antenatal care supervision was 10 777.21 USD at the baseline, whereas the total costs of MESH-QI intervention was 19 656.53 USD. Human resources (salary and benefits) and transport drove the majority of program expenses, (44.8% and 40%, respectively). Other costs included training of mentors (12.9%), data management (6.5%) and equipment (6.5%). The incremental cost per antenatal care visit attributable to MESH-QI with all assessment items completed was 0.70 USD for danger signs and 1.10 USD for vital signs.
Conclusions: MESH-QI could be an affordable and effective intervention to improve the quality of antenatal care at health centers in low-resource settings. Cost savings would increase if MESH-QI mentors were integrated into the existing healthcare systems and deployed to sites with higher volume of antenatal care visits.
Design: Cost-effectiveness analysis of the MESH-QI intervention using the provider perspective.
Setting: Kirehe and Rwinkwavu District Hospital catchment areas, Rwanda.
Intervention: MESH-QI.
Main outcome measures: Incremental cost per antenatal care visit with complete danger sign and vital sign assessments.
Results: The total annual costs of standard antenatal care supervision was 10 777.21 USD at the baseline, whereas the total costs of MESH-QI intervention was 19 656.53 USD. Human resources (salary and benefits) and transport drove the majority of program expenses, (44.8% and 40%, respectively). Other costs included training of mentors (12.9%), data management (6.5%) and equipment (6.5%). The incremental cost per antenatal care visit attributable to MESH-QI with all assessment items completed was 0.70 USD for danger signs and 1.10 USD for vital signs.
Conclusions: MESH-QI could be an affordable and effective intervention to improve the quality of antenatal care at health centers in low-resource settings. Cost savings would increase if MESH-QI mentors were integrated into the existing healthcare systems and deployed to sites with higher volume of antenatal care visits.
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