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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| Formato: | Conjunto de datos |
| Lenguaje: | Inglés |
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International Food Policy Research Institute
2025
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| Acceso en línea: | https://hdl.handle.net/10568/176992 |
| _version_ | 1855535485301030912 |
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| author | International Food Policy Research Institute |
| author_browse | International Food Policy Research Institute |
| author_facet | International Food Policy Research Institute |
| author_sort | International Food Policy Research Institute |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Conjunto de datos |
| id | CGSpace176992 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1769922025-10-10T17:05:51Z A&T Gujarat Implementation Research Baseline Survey 2022: Supervisory Cadre International Food Policy Research Institute baseline studies decision making health health communication nutrition nutrition education maternal nutrition infant feeding breast feeding child nutrition 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. 2025-07-21 2025-10-10T17:05:50Z 2025-10-10T17:05:50Z Dataset https://hdl.handle.net/10568/176992 en Open Access International Food Policy Research Institute International Food Policy Research Institute (IFPRI). 2025. A&T Gujarat Implementation Research Baseline Survey 2022: Supervisory Cadre. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/Q7OEKU. Harvard Dataverse. Version 1. |
| spellingShingle | baseline studies decision making health health communication nutrition nutrition education maternal nutrition infant feeding breast feeding child nutrition International Food Policy Research Institute A&T Gujarat Implementation Research Baseline Survey 2022: Supervisory Cadre |
| title | A&T Gujarat Implementation Research Baseline Survey 2022: Supervisory Cadre |
| title_full | A&T Gujarat Implementation Research Baseline Survey 2022: Supervisory Cadre |
| title_fullStr | A&T Gujarat Implementation Research Baseline Survey 2022: Supervisory Cadre |
| title_full_unstemmed | A&T Gujarat Implementation Research Baseline Survey 2022: Supervisory Cadre |
| title_short | A&T Gujarat Implementation Research Baseline Survey 2022: Supervisory Cadre |
| title_sort | a t gujarat implementation research baseline survey 2022 supervisory cadre |
| topic | baseline studies decision making health health communication nutrition nutrition education maternal nutrition infant feeding breast feeding child nutrition |
| url | https://hdl.handle.net/10568/176992 |
| work_keys_str_mv | AT internationalfoodpolicyresearchinstitute atgujaratimplementationresearchbaselinesurvey2022supervisorycadre |