A Landscape Analysis of Supportive Supervisory Mechanisms in Maternal and Child Health Programs in India
Suruchi Gupta1,2, Anirban Chatterjee3,2, Kritika Singhal2
1International Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA.
Abstract:
Supportive supervision of community health workers (CHWs) is considered a promising intervention for optimizing efficiency and health systems outcomes. However, little is known about how supportive supervision is conceptualized and implemented across maternal and child health (MCH) programs in India. We examined the scope of supportive supervision in selected MCH programs. We analyzed 29 programmatic documents and implementation guidelines from seven programs, and identified and extracted data on several themes, such as conceptualization, operationalization, monitoring and evaluation, and quality assurance of supportive supervision according to a pre-determined domain-based template. We found notable differences in the scope and quality of supportive supervision offered under different programs. Many programs did not include supportive supervision as a supervisory modality. Programs which included supportive supervision did not define all the parameters of operationalization - responsible workforce, frequency of visits, procedure, training, logistic support, supervision formats/checklists, scope for and frequency of monitoring and evaluation, and quality assurance of supervisory visits. Even when some parameters were defined, there was considerable heterogeneity in implementation across programs. Such inconsistencies may adversely affect the quality and efficiency of supportive supervision, thereby minimizing its potential. Policymakers should prioritize the redesign of supportive supervision strategies to ensure greater clarity and consistency across key domains, thereby optimizing community health worker performance and strengthening public health program outcomes.
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