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Evaluation of community health worker's performance at home-based newborn assessment supported by mHealth in rural Bangladesh
BACKGROUND: In low to middle-income countries where home births are common and neonatal postnatal care is limited, community health worker (CHW) home visits can extend the capability of health systems to reach vulnerable newborns in the postnatal period. CHW assessment of newborn danger signs suppor...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027479/ https://www.ncbi.nlm.nih.gov/pubmed/35459113 http://dx.doi.org/10.1186/s12887-022-03282-6 |
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author | Jahan, Farjana Foote, Eric Rahman, Mahbubur Shoab, Abul Kasham Parvez, Sarker Masud Nasim, Mizanul Islam Hasan, Rezaul El Arifeen, Shams Billah, Sk Masum Sarker, Supta Hoque, Md. Mahbubul Shahidullah, Mohammad Islam, Muhammad Shariful Ashrafee, Sabina Darmstadt, Gary L. |
author_facet | Jahan, Farjana Foote, Eric Rahman, Mahbubur Shoab, Abul Kasham Parvez, Sarker Masud Nasim, Mizanul Islam Hasan, Rezaul El Arifeen, Shams Billah, Sk Masum Sarker, Supta Hoque, Md. Mahbubul Shahidullah, Mohammad Islam, Muhammad Shariful Ashrafee, Sabina Darmstadt, Gary L. |
author_sort | Jahan, Farjana |
collection | PubMed |
description | BACKGROUND: In low to middle-income countries where home births are common and neonatal postnatal care is limited, community health worker (CHW) home visits can extend the capability of health systems to reach vulnerable newborns in the postnatal period. CHW assessment of newborn danger signs supported by mHealth have the potential to improve the quality of danger sign assessments and reduce CHW training requirements. We aim to estimate the validity (sensitivity, specificity, positive and negative predictive value) of CHW assessment of newborn infants aided by mHealth compared to physician assessment. METHODS: In this prospective study, ten CHWs received five days of theoretical and hands-on training on the physical assessment of newborns including ten danger signs. CHWs assessed 273 newborn infants for danger signs within 48 h of birth and then consecutively for three days. A physician repeated 20% (n = 148) of the assessments conducted by CHWs. Both CHWs and the physician evaluated newborns for ten danger signs and decided on referral. We used the physician’s danger sign identification and referral decision as the gold standard to validate CHWs’ identification of danger signs and referral decisions. RESULTS: The referrals made by the CHWs had high sensitivity (93.3%), specificity (96.2%), and almost perfect agreement (K = 0.80) with the referrals made by the physician. CHW identification of all the danger signs except hypothermia showed moderate to high sensitivity (66.7–100%) compared to physician assessments. All the danger signs assessments except hypothermia showed moderate to high positive predictive value (PPV) (50–100%) and excellent negative predictive value (NPV) (99–100%). Specificity was high (99–100%) for all ten danger signs. CONCLUSION: CHW's identification of neonatal danger signs aided by mHealth showed moderate to high validity in comparison to physician assessments. mHealth platforms may reduce CHW training requirements and while maintaining quality CHW physical assessment performance extending the ability of health systems to provide neonatal postnatal care in low-resource communities. TRIAL REGISTRATION: clinicaltrials.gov NCT03933423, January 05, 2019. |
format | Online Article Text |
id | pubmed-9027479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90274792022-04-23 Evaluation of community health worker's performance at home-based newborn assessment supported by mHealth in rural Bangladesh Jahan, Farjana Foote, Eric Rahman, Mahbubur Shoab, Abul Kasham Parvez, Sarker Masud Nasim, Mizanul Islam Hasan, Rezaul El Arifeen, Shams Billah, Sk Masum Sarker, Supta Hoque, Md. Mahbubul Shahidullah, Mohammad Islam, Muhammad Shariful Ashrafee, Sabina Darmstadt, Gary L. BMC Pediatr Research BACKGROUND: In low to middle-income countries where home births are common and neonatal postnatal care is limited, community health worker (CHW) home visits can extend the capability of health systems to reach vulnerable newborns in the postnatal period. CHW assessment of newborn danger signs supported by mHealth have the potential to improve the quality of danger sign assessments and reduce CHW training requirements. We aim to estimate the validity (sensitivity, specificity, positive and negative predictive value) of CHW assessment of newborn infants aided by mHealth compared to physician assessment. METHODS: In this prospective study, ten CHWs received five days of theoretical and hands-on training on the physical assessment of newborns including ten danger signs. CHWs assessed 273 newborn infants for danger signs within 48 h of birth and then consecutively for three days. A physician repeated 20% (n = 148) of the assessments conducted by CHWs. Both CHWs and the physician evaluated newborns for ten danger signs and decided on referral. We used the physician’s danger sign identification and referral decision as the gold standard to validate CHWs’ identification of danger signs and referral decisions. RESULTS: The referrals made by the CHWs had high sensitivity (93.3%), specificity (96.2%), and almost perfect agreement (K = 0.80) with the referrals made by the physician. CHW identification of all the danger signs except hypothermia showed moderate to high sensitivity (66.7–100%) compared to physician assessments. All the danger signs assessments except hypothermia showed moderate to high positive predictive value (PPV) (50–100%) and excellent negative predictive value (NPV) (99–100%). Specificity was high (99–100%) for all ten danger signs. CONCLUSION: CHW's identification of neonatal danger signs aided by mHealth showed moderate to high validity in comparison to physician assessments. mHealth platforms may reduce CHW training requirements and while maintaining quality CHW physical assessment performance extending the ability of health systems to provide neonatal postnatal care in low-resource communities. TRIAL REGISTRATION: clinicaltrials.gov NCT03933423, January 05, 2019. BioMed Central 2022-04-22 /pmc/articles/PMC9027479/ /pubmed/35459113 http://dx.doi.org/10.1186/s12887-022-03282-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Jahan, Farjana Foote, Eric Rahman, Mahbubur Shoab, Abul Kasham Parvez, Sarker Masud Nasim, Mizanul Islam Hasan, Rezaul El Arifeen, Shams Billah, Sk Masum Sarker, Supta Hoque, Md. Mahbubul Shahidullah, Mohammad Islam, Muhammad Shariful Ashrafee, Sabina Darmstadt, Gary L. Evaluation of community health worker's performance at home-based newborn assessment supported by mHealth in rural Bangladesh |
title | Evaluation of community health worker's performance at home-based newborn assessment supported by mHealth in rural Bangladesh |
title_full | Evaluation of community health worker's performance at home-based newborn assessment supported by mHealth in rural Bangladesh |
title_fullStr | Evaluation of community health worker's performance at home-based newborn assessment supported by mHealth in rural Bangladesh |
title_full_unstemmed | Evaluation of community health worker's performance at home-based newborn assessment supported by mHealth in rural Bangladesh |
title_short | Evaluation of community health worker's performance at home-based newborn assessment supported by mHealth in rural Bangladesh |
title_sort | evaluation of community health worker's performance at home-based newborn assessment supported by mhealth in rural bangladesh |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027479/ https://www.ncbi.nlm.nih.gov/pubmed/35459113 http://dx.doi.org/10.1186/s12887-022-03282-6 |
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