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mHealth learning tool for skilled birth attendants: scaling the Safe Delivery App in India
BACKGROUND: One of the main drivers of maternal and newborn mortality and morbidity in India is a lack of quality of care in health facilities. Inadequate competencies of health workers, insufficient quality of training and infrastructure, and the financial challenges of providing training across th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389095/ https://www.ncbi.nlm.nih.gov/pubmed/35977730 http://dx.doi.org/10.1136/bmjoq-2022-001928 |
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author | Singh Sodha, Tarun Grønbæk, Astrid Bhandari, Aditya Mary, Bright Sudke, Ajit Smith, Lauren Teresa |
author_facet | Singh Sodha, Tarun Grønbæk, Astrid Bhandari, Aditya Mary, Bright Sudke, Ajit Smith, Lauren Teresa |
author_sort | Singh Sodha, Tarun |
collection | PubMed |
description | BACKGROUND: One of the main drivers of maternal and newborn mortality and morbidity in India is a lack of quality of care in health facilities. Inadequate competencies of health workers, insufficient quality of training and infrastructure, and the financial challenges of providing training across the country impede quality care provision. To this end, the Government of India began exploring cost-effective tech and IT-based solutions to support existing quality improvement (QI) initiatives. METHOD: We describe the process and approach of scaling the Safe Delivery App (hereafter referred to as the App) throughout India. The App is an mHealth learning tool for equipping health workers in managing obstetric and neonatal emergencies by placing evidence-based, and up-to-date clinical guidelines in their hands through their mobile devices. The use of the App was supported by the Ministry of Health and the Department of Health at the state level. Both parties were actively involved in the roll-out of the App and had a clear vision of how the App can complement existing structures/systems/programmes. RESULTS: The App was successfully integrated and implemented in various government-led QI initiatives. Approximately 20 000 healthcare workers (HCWs) have been trained on the App and selected clinical topics since its launch, and between 2018 and 2021 over 86 000 HCWs across all states and union territories used the App. Moreover, project-specific data show a significant increase in the knowledge level of users of the App. CONCLUSION: Scaling such a tool within existing programmes is not a linear process. In India, the approach, government buy-in and flexibility of implementation modalities led to the successful roll-out of the App. We have demonstrated that an mHealth tool can be used to support the growing desire of governments to use tech in support existing QI initiatives and supporting the improvement of quality of care provided. |
format | Online Article Text |
id | pubmed-9389095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-93890952022-09-06 mHealth learning tool for skilled birth attendants: scaling the Safe Delivery App in India Singh Sodha, Tarun Grønbæk, Astrid Bhandari, Aditya Mary, Bright Sudke, Ajit Smith, Lauren Teresa BMJ Open Qual Quality Improvement Programme BACKGROUND: One of the main drivers of maternal and newborn mortality and morbidity in India is a lack of quality of care in health facilities. Inadequate competencies of health workers, insufficient quality of training and infrastructure, and the financial challenges of providing training across the country impede quality care provision. To this end, the Government of India began exploring cost-effective tech and IT-based solutions to support existing quality improvement (QI) initiatives. METHOD: We describe the process and approach of scaling the Safe Delivery App (hereafter referred to as the App) throughout India. The App is an mHealth learning tool for equipping health workers in managing obstetric and neonatal emergencies by placing evidence-based, and up-to-date clinical guidelines in their hands through their mobile devices. The use of the App was supported by the Ministry of Health and the Department of Health at the state level. Both parties were actively involved in the roll-out of the App and had a clear vision of how the App can complement existing structures/systems/programmes. RESULTS: The App was successfully integrated and implemented in various government-led QI initiatives. Approximately 20 000 healthcare workers (HCWs) have been trained on the App and selected clinical topics since its launch, and between 2018 and 2021 over 86 000 HCWs across all states and union territories used the App. Moreover, project-specific data show a significant increase in the knowledge level of users of the App. CONCLUSION: Scaling such a tool within existing programmes is not a linear process. In India, the approach, government buy-in and flexibility of implementation modalities led to the successful roll-out of the App. We have demonstrated that an mHealth tool can be used to support the growing desire of governments to use tech in support existing QI initiatives and supporting the improvement of quality of care provided. BMJ Publishing Group 2022-08-17 /pmc/articles/PMC9389095/ /pubmed/35977730 http://dx.doi.org/10.1136/bmjoq-2022-001928 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Quality Improvement Programme Singh Sodha, Tarun Grønbæk, Astrid Bhandari, Aditya Mary, Bright Sudke, Ajit Smith, Lauren Teresa mHealth learning tool for skilled birth attendants: scaling the Safe Delivery App in India |
title | mHealth learning tool for skilled birth attendants: scaling the Safe Delivery App in India |
title_full | mHealth learning tool for skilled birth attendants: scaling the Safe Delivery App in India |
title_fullStr | mHealth learning tool for skilled birth attendants: scaling the Safe Delivery App in India |
title_full_unstemmed | mHealth learning tool for skilled birth attendants: scaling the Safe Delivery App in India |
title_short | mHealth learning tool for skilled birth attendants: scaling the Safe Delivery App in India |
title_sort | mhealth learning tool for skilled birth attendants: scaling the safe delivery app in india |
topic | Quality Improvement Programme |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389095/ https://www.ncbi.nlm.nih.gov/pubmed/35977730 http://dx.doi.org/10.1136/bmjoq-2022-001928 |
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