Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Singh Sodha, Tarun, Grønbæk, Astrid, Bhandari, Aditya, Mary, Bright, Sudke, Ajit, Smith, Lauren Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
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
_version_ 1784770363085815808
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
work_keys_str_mv AT singhsodhatarun mhealthlearningtoolforskilledbirthattendantsscalingthesafedeliveryappinindia
AT grønbækastrid mhealthlearningtoolforskilledbirthattendantsscalingthesafedeliveryappinindia
AT bhandariaditya mhealthlearningtoolforskilledbirthattendantsscalingthesafedeliveryappinindia
AT marybright mhealthlearningtoolforskilledbirthattendantsscalingthesafedeliveryappinindia
AT sudkeajit mhealthlearningtoolforskilledbirthattendantsscalingthesafedeliveryappinindia
AT smithlaurenteresa mhealthlearningtoolforskilledbirthattendantsscalingthesafedeliveryappinindia