Factors influencing roll-out of an m-Health intervention in India: Results from a dynamic and responsive process evaluation
Implementation research can support iterative program improvement, yet limited examples of such dynamic experiences exist. We conducted a multi-stage and multi-method process evaluation (PE) of a large-scale m-Health intervention in India that currently reaches 581,282 frontline workers (FLWs). The...
| Autores principales: | , , , , |
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| Formato: | Resumen |
| Lenguaje: | Inglés |
| Publicado: |
American Society for Nutrition
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/142453 |
| Sumario: | Implementation research can support iterative program improvement, yet limited examples of such dynamic experiences exist. We conducted a multi-stage and multi-method process evaluation (PE) of a large-scale m-Health intervention in India that currently reaches 581,282 frontline workers (FLWs). The intervention (Common Application Software (CAS)) includes a smartphone application that digitizes FLW service-tracking registers and acts as a job aid and multiple dashboards for real-time monitoring. We examined factors affecting the roll-out of CAS in two Indian states. |
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