A&T Gujarat Implementation Research Baseline Survey 2022: Supervisory Cadre

This dataset originates from the Supervisory Cadre Survey, conducted as part of the baseline for the Alive & Thrive (A&T) impact evaluation study in Gujarat, India. The survey collected data from various supervisory roles, including Mukhya Sevika (MS), ASHA Facilitators (ASHA-F), Auxiliary Nurse Mid...

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Bibliographic Details
Main Author: International Food Policy Research Institute
Format: Conjunto de datos
Language:Inglés
Published: International Food Policy Research Institute 2025
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Online Access:https://hdl.handle.net/10568/176992
Description
Summary:This dataset originates from the Supervisory Cadre Survey, conducted as part of the baseline for the Alive & Thrive (A&T) impact evaluation study in Gujarat, India. The survey collected data from various supervisory roles, including Mukhya Sevika (MS), ASHA Facilitators (ASHA-F), Auxiliary Nurse Midwives (ANMs), Female Health Supervisors (FHS), Taluka Health Visitors (THVs), Child Development Project Officers (CDPOs), District Program Officers (DPOs), Taluka Health Officers (THOs), and Chief District Health Officers (CDHOs). The baseline survey was conducted from March to May 2022 in 26 blocks across three districts namely Bharuch, Surat, and Mahesana. Thirteen blocks were randomly assigned to intervention and control groups, with an additional urban block in Surat. The survey was carried out by the International Food Policy Research Institute (IFPRI) in collaboration with Network for Engineering and Economics Research and Management (NEERMAN). The Supervisory Cadre Survey included the following modules: Identification; Demographic Information; Training Experience; Supervision Practices; Use of Technology; Motivation and Self-Confidence; Knowledge of Maternal Nutrition and Infant and Young Child Feeding (IYCF) Practices. This dataset provides key insights into supervisory systems, their role in supporting frontline workers, and how well-equipped they are to facilitate improvements in nutrition and health service delivery during the first 1,000 days of life.