Cargando…
Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural Southern Ethiopia?
BACKGROUND: Health extension workers (HEWs) are the key cadre within the Ethiopian Health Extension Programme extending health care to rural communities. National policy guidance supports the use of mHealth to improve data quality and use. We report on a mobile Health Management Information system (...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294041/ https://www.ncbi.nlm.nih.gov/pubmed/30551131 http://dx.doi.org/10.1093/pubmed/fdy200 |
_version_ | 1783380663950376960 |
---|---|
author | Mengesha, W Steege, R Kea, A Z Theobald, S Datiko, D G |
author_facet | Mengesha, W Steege, R Kea, A Z Theobald, S Datiko, D G |
author_sort | Mengesha, W |
collection | PubMed |
description | BACKGROUND: Health extension workers (HEWs) are the key cadre within the Ethiopian Health Extension Programme extending health care to rural communities. National policy guidance supports the use of mHealth to improve data quality and use. We report on a mobile Health Management Information system (HMIS) with HEWs and assess its impact on data use, community health service provision and HEWs’ experiences. METHODOLOGY: We used a mixed methods approach, including an iterative process of intervention development for 2 out of 16 essential packages of health services, quantitative analysis of new registrations, and qualitative research with HEWs and their supervisors. RESULTS: The iterative approach supported ownership of the intervention by health staff, and 8833 clients were registered onto the mobile HMIS by 62 trained HEWs. HEWs were positive about using mHealth and its impact on data quality, health service delivery, patient follow-up and skill acquisition. Challenges included tensions over who received a phone; worries about phone loss; poor connectivity and power failures in rural areas; and workload. DISCUSSION: Mobile HMIS developed through collaborative and locally embedded processes can support quality data collection, flow and better patient follow-up. Scale-up across other community health service packages and zones is encouraged together with appropriate training, support and distribution of phones to address health needs and avoid exacerbating existing inequalities. KEYWORDS: CHWs, equity, ethics, Ethiopia, Health Management Information system, HEP, maternal health, mHealth, TB |
format | Online Article Text |
id | pubmed-6294041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62940412018-12-21 Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural Southern Ethiopia? Mengesha, W Steege, R Kea, A Z Theobald, S Datiko, D G J Public Health (Oxf) Original Article BACKGROUND: Health extension workers (HEWs) are the key cadre within the Ethiopian Health Extension Programme extending health care to rural communities. National policy guidance supports the use of mHealth to improve data quality and use. We report on a mobile Health Management Information system (HMIS) with HEWs and assess its impact on data use, community health service provision and HEWs’ experiences. METHODOLOGY: We used a mixed methods approach, including an iterative process of intervention development for 2 out of 16 essential packages of health services, quantitative analysis of new registrations, and qualitative research with HEWs and their supervisors. RESULTS: The iterative approach supported ownership of the intervention by health staff, and 8833 clients were registered onto the mobile HMIS by 62 trained HEWs. HEWs were positive about using mHealth and its impact on data quality, health service delivery, patient follow-up and skill acquisition. Challenges included tensions over who received a phone; worries about phone loss; poor connectivity and power failures in rural areas; and workload. DISCUSSION: Mobile HMIS developed through collaborative and locally embedded processes can support quality data collection, flow and better patient follow-up. Scale-up across other community health service packages and zones is encouraged together with appropriate training, support and distribution of phones to address health needs and avoid exacerbating existing inequalities. KEYWORDS: CHWs, equity, ethics, Ethiopia, Health Management Information system, HEP, maternal health, mHealth, TB Oxford University Press 2018-12 2018-12-14 /pmc/articles/PMC6294041/ /pubmed/30551131 http://dx.doi.org/10.1093/pubmed/fdy200 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Faculty of Public Health. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Mengesha, W Steege, R Kea, A Z Theobald, S Datiko, D G Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural Southern Ethiopia? |
title | Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural Southern Ethiopia? |
title_full | Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural Southern Ethiopia? |
title_fullStr | Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural Southern Ethiopia? |
title_full_unstemmed | Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural Southern Ethiopia? |
title_short | Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural Southern Ethiopia? |
title_sort | can mhealth improve timeliness and quality of health data collected and used by health extension workers in rural southern ethiopia? |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294041/ https://www.ncbi.nlm.nih.gov/pubmed/30551131 http://dx.doi.org/10.1093/pubmed/fdy200 |
work_keys_str_mv | AT mengeshaw canmhealthimprovetimelinessandqualityofhealthdatacollectedandusedbyhealthextensionworkersinruralsouthernethiopia AT steeger canmhealthimprovetimelinessandqualityofhealthdatacollectedandusedbyhealthextensionworkersinruralsouthernethiopia AT keaaz canmhealthimprovetimelinessandqualityofhealthdatacollectedandusedbyhealthextensionworkersinruralsouthernethiopia AT theobalds canmhealthimprovetimelinessandqualityofhealthdatacollectedandusedbyhealthextensionworkersinruralsouthernethiopia AT datikodg canmhealthimprovetimelinessandqualityofhealthdatacollectedandusedbyhealthextensionworkersinruralsouthernethiopia |