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Generalizing from qualitative data a case example using critical realist thematic analysis and mechanism mapping to evaluate a community health worker-led screening program in India

January 25, 2025 By

Authors: Kathryn Broderick, Arthi Vaidyanathan, Matthew Ponticiello, Misha Hooda, Vaishali Kulkarni, Andrea Chalem, Puja Chebrolu, Ashlesha Onawale, Ana Baumann, Jyoti Mathad, Radhika Sundararajan

This study highlights how qualitative data and mechanism maps can improve the understanding of why health programs succeed or fail. Using a community health worker (CHW)-led gestational diabetes (GDM) screening program in Pune, India, as an example, researchers identified factors that increased screening uptake, such as CHWs’ support and education efforts. However, treatment for GDM was often inadequate due to clinicians’ limited time and low perception of risk in patients. Mechanism maps revealed key areas for improvement, helping to adapt and enhance the program for broader application.

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Resource Topic: CHW Role, CHW programs, Diabetes

Resource Type: Qualitative

Year: 2024

Region: Asia

Country: India

Publisher May Restrict Access: No

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