Mixed- Method Impact Evaluation of an mNutrition Application in Indonesia
dc.date.accessioned | 2020-06-22T10:36:37Z | |
dc.date.available | 2020-06-22T10:36:37Z | |
dc.description.abstract | Research Poster Presentations Growth monitoring GM aims to detect children at risk of malnutrition provide resources for children with growth faltering track nutrition trends determine eligibility for counselling other services and to increase visibility of malnutrition GM s impact is limited by poor data quality long delays in data collection and dissemination that prevent timely response and weak interpretation and use of data The Institute of Development Studies and World Vision WV evaluated the use of a mHealth application app for community based GM created and deployed by WV and delivered through health posts posyandu over a 12 month period in rural and urban sites in Indonesia Objectives were to assess impact on data accuracy accuracy of GM status classification timeliness of data submission real time responsiveness and feedback to mothers This poster presentation will highlight the results of this quantitative and qualitative analysis Presented by Dr Annette Ghee Technical Director for Research and M E Evidence and Learning World Vision International | |
dc.identifier.uri | https://lib.digitalsquare.io/handle/123456789/76985 | |
dc.subject | Global Digital Health Forum Presentations | |
dc.subject | Global Digital Health Forum Presentations | |
dc.subject | Global Digital Health Forum Presentations | |
dc.subject | Global Digital Health Forum Presentations | |
dc.subject | Global Digital Health Forum | |
dc.subject | Nutrition | |
dc.subject | Child Health | |
dc.subject | Malnutrition | |
dc.title | Mixed- Method Impact Evaluation of an mNutrition Application in Indonesia | en |
dcterms.abstract | Research Poster Presentations Growth monitoring GM aims to detect children at risk of malnutrition provide resources for children with growth faltering track nutrition trends determine eligibility for counselling other services and to increase visibility of malnutrition GM s impact is limited by poor data quality long delays in data collection and dissemination that prevent timely response and weak interpretation and use of data The Institute of Development Studies and World Vision WV evaluated the use of a mHealth application app for community based GM created and deployed by WV and delivered through health posts posyandu over a 12 month period in rural and urban sites in Indonesia Objectives were to assess impact on data accuracy accuracy of GM status classification timeliness of data submission real time responsiveness and feedback to mothers This poster presentation will highlight the results of this quantitative and qualitative analysis Presented by Dr Annette Ghee Technical Director for Research and M E Evidence and Learning World Vision International | |
dcterms.subject | Global Digital Health Forum Presentations | |
dcterms.subject | Global Digital Health Forum Presentations | |
dcterms.subject | Global Digital Health Forum Presentations | |
dcterms.subject | Global Digital Health Forum Presentations | |
dcterms.subject | Global Digital Health Forum | |
dcterms.subject | Nutrition | |
dcterms.subject | Child Health | |
dcterms.subject | Malnutrition | |
dcterms.title | Mixed- Method Impact Evaluation of an mNutrition Application in Indonesia | en |
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