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A mobile phone application for malaria case-based reporting to advance malaria surveillance in Myanmar: a mixed methods evaluation

BACKGROUND: To achieve malaria elimination in the Greater Mekong Subregion, including Myanmar, it is necessary to ensure all malaria cases are detected, treated, and reported in a timely manner. Mobile phone-based applications for malaria reporting, case management, and surveillance implemented at a...

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Autores principales: Win Han Oo, Win Htike, Cutts, Julia C., Kyawt Mon Win, Kaung Myat Thu, May Chan Oo, Galau Naw Hkawng, Agius, Paul A., Pyae Phyo Htoon, Scott, Nick, Kearney, Ellen, Moreira, Clarissa, Pedrana, Alisa, Stoove, Mark, Aung Thi, Ye Win Aung, Min Min Thein, Rosecrans, Kathryn, Kyi Tun Lwin, Aung Kyi Min, Fowkes, Freya J. I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7995396/
https://www.ncbi.nlm.nih.gov/pubmed/33771144
http://dx.doi.org/10.1186/s12936-021-03701-6
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author Win Han Oo
Win Htike
Cutts, Julia C.
Kyawt Mon Win
Kaung Myat Thu
May Chan Oo
Galau Naw Hkawng
Agius, Paul A.
Pyae Phyo Htoon
Scott, Nick
Kearney, Ellen
Moreira, Clarissa
Pedrana, Alisa
Stoove, Mark
Aung Thi
Ye Win Aung
Min Min Thein
Rosecrans, Kathryn
Kyi Tun Lwin
Aung Kyi Min
Fowkes, Freya J. I.
author_facet Win Han Oo
Win Htike
Cutts, Julia C.
Kyawt Mon Win
Kaung Myat Thu
May Chan Oo
Galau Naw Hkawng
Agius, Paul A.
Pyae Phyo Htoon
Scott, Nick
Kearney, Ellen
Moreira, Clarissa
Pedrana, Alisa
Stoove, Mark
Aung Thi
Ye Win Aung
Min Min Thein
Rosecrans, Kathryn
Kyi Tun Lwin
Aung Kyi Min
Fowkes, Freya J. I.
author_sort Win Han Oo
collection PubMed
description BACKGROUND: To achieve malaria elimination in the Greater Mekong Subregion, including Myanmar, it is necessary to ensure all malaria cases are detected, treated, and reported in a timely manner. Mobile phone-based applications for malaria reporting, case management, and surveillance implemented at a community-level may overcome reporting limitations associated with current paper-based reporting (PBR), but their effectiveness in this context is unknown. METHODS: A mixed methods evaluation study was undertaken to determine the effectiveness of a national Malaria Case-Based Reporting (MCBR) mobile phone application in improving malaria case reporting compared to the existing PBR reporting system in Myanmar. Methods included secondary analysis of malaria case report data, questionnaires, focus group discussions and field observations of community volunteers, interviews and direct observations of malaria programme stakeholders, and cost analysis. Using a combination of these approaches the following areas were investigated: data quality and completeness, data access and usage, capacity for timely reporting, the acceptability, functionality, and ease of use of the application and facilitators and barriers to its use, and the relative cost of MCBR compared to the PBR system. RESULTS: Compared to PBR, MCBR enabled more accurate and complete data to be reported in a much timelier manner, with 63% of MCBR users reporting they transmit rapid diagnostic test outcomes within 24 h, compared to 0% of PBR users. MCBR was favoured by integrated community malaria volunteers and their supervisors because of its efficiency. However, several technical and operational challenges associated with internet coverage, data transmission, and e-literacy were identified and stakeholders reported not being confident to rely solely on MCBR data for programmatic decision-making. CONCLUSIONS: Implementation of MCBR provided timely and accurate data for malaria surveillance. Findings from this evaluation study will enable the optimization of an application-based reporting system for malaria monitoring and surveillance in the Greater Mekong Subregion and advance systems to track progress towards, and certify, the achievement of malaria elimination targets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-021-03701-6.
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spelling pubmed-79953962021-03-26 A mobile phone application for malaria case-based reporting to advance malaria surveillance in Myanmar: a mixed methods evaluation Win Han Oo Win Htike Cutts, Julia C. Kyawt Mon Win Kaung Myat Thu May Chan Oo Galau Naw Hkawng Agius, Paul A. Pyae Phyo Htoon Scott, Nick Kearney, Ellen Moreira, Clarissa Pedrana, Alisa Stoove, Mark Aung Thi Ye Win Aung Min Min Thein Rosecrans, Kathryn Kyi Tun Lwin Aung Kyi Min Fowkes, Freya J. I. Malar J Research BACKGROUND: To achieve malaria elimination in the Greater Mekong Subregion, including Myanmar, it is necessary to ensure all malaria cases are detected, treated, and reported in a timely manner. Mobile phone-based applications for malaria reporting, case management, and surveillance implemented at a community-level may overcome reporting limitations associated with current paper-based reporting (PBR), but their effectiveness in this context is unknown. METHODS: A mixed methods evaluation study was undertaken to determine the effectiveness of a national Malaria Case-Based Reporting (MCBR) mobile phone application in improving malaria case reporting compared to the existing PBR reporting system in Myanmar. Methods included secondary analysis of malaria case report data, questionnaires, focus group discussions and field observations of community volunteers, interviews and direct observations of malaria programme stakeholders, and cost analysis. Using a combination of these approaches the following areas were investigated: data quality and completeness, data access and usage, capacity for timely reporting, the acceptability, functionality, and ease of use of the application and facilitators and barriers to its use, and the relative cost of MCBR compared to the PBR system. RESULTS: Compared to PBR, MCBR enabled more accurate and complete data to be reported in a much timelier manner, with 63% of MCBR users reporting they transmit rapid diagnostic test outcomes within 24 h, compared to 0% of PBR users. MCBR was favoured by integrated community malaria volunteers and their supervisors because of its efficiency. However, several technical and operational challenges associated with internet coverage, data transmission, and e-literacy were identified and stakeholders reported not being confident to rely solely on MCBR data for programmatic decision-making. CONCLUSIONS: Implementation of MCBR provided timely and accurate data for malaria surveillance. Findings from this evaluation study will enable the optimization of an application-based reporting system for malaria monitoring and surveillance in the Greater Mekong Subregion and advance systems to track progress towards, and certify, the achievement of malaria elimination targets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-021-03701-6. BioMed Central 2021-03-26 /pmc/articles/PMC7995396/ /pubmed/33771144 http://dx.doi.org/10.1186/s12936-021-03701-6 Text en © The Author(s) 2021 Open AccessThis 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, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://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
Win Han Oo
Win Htike
Cutts, Julia C.
Kyawt Mon Win
Kaung Myat Thu
May Chan Oo
Galau Naw Hkawng
Agius, Paul A.
Pyae Phyo Htoon
Scott, Nick
Kearney, Ellen
Moreira, Clarissa
Pedrana, Alisa
Stoove, Mark
Aung Thi
Ye Win Aung
Min Min Thein
Rosecrans, Kathryn
Kyi Tun Lwin
Aung Kyi Min
Fowkes, Freya J. I.
A mobile phone application for malaria case-based reporting to advance malaria surveillance in Myanmar: a mixed methods evaluation
title A mobile phone application for malaria case-based reporting to advance malaria surveillance in Myanmar: a mixed methods evaluation
title_full A mobile phone application for malaria case-based reporting to advance malaria surveillance in Myanmar: a mixed methods evaluation
title_fullStr A mobile phone application for malaria case-based reporting to advance malaria surveillance in Myanmar: a mixed methods evaluation
title_full_unstemmed A mobile phone application for malaria case-based reporting to advance malaria surveillance in Myanmar: a mixed methods evaluation
title_short A mobile phone application for malaria case-based reporting to advance malaria surveillance in Myanmar: a mixed methods evaluation
title_sort mobile phone application for malaria case-based reporting to advance malaria surveillance in myanmar: a mixed methods evaluation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7995396/
https://www.ncbi.nlm.nih.gov/pubmed/33771144
http://dx.doi.org/10.1186/s12936-021-03701-6
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