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A mobile phone application for malaria case-based reporting to advance malaria surveillance in Myanmar: a mixed methods evaluation.
Cutts, Julia C; Agius, Paul A; Scott, Nick; Kearney, Ellen; Moreira, Clarissa; Pedrana, Alisa; Stoove, Mark; Rosecrans, Kathryn; Fowkes, Freya J I.
Afiliação
  • Win Han Oo; Burnet Institute, Melbourne, Australia.
  • Win Htike; Burnet Institute, Melbourne, Australia.
  • Cutts JC; Burnet Institute, Melbourne, Australia.
  • Kyawt Mon Win; Department of Medicine, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia.
  • Kaung Myat Thu; National Malaria Control Programme, Ministry of Health and Sports, Nay Pyi Taw, Myanmar.
  • May Chan Oo; Burnet Institute, Melbourne, Australia.
  • Galau Naw Hkawng; Burnet Institute, Melbourne, Australia.
  • Agius PA; Burnet Institute, Melbourne, Australia.
  • Pyae Phyo Htoon; Burnet Institute, Melbourne, Australia.
  • Scott N; Department of Epidemiology and Preventive Medicine, Department of Infectious Diseases, Monash University, Melbourne, Australia.
  • Kearney E; Save the Children, Yangon, Myanmar.
  • Moreira C; Burnet Institute, Melbourne, Australia.
  • Pedrana A; Department of Epidemiology and Preventive Medicine, Department of Infectious Diseases, Monash University, Melbourne, Australia.
  • Stoove M; Burnet Institute, Melbourne, Australia.
  • Aung Thi; Burnet Institute, Melbourne, Australia.
  • Ye Win Aung; Burnet Institute, Melbourne, Australia.
  • Min Min Thein; Department of Epidemiology and Preventive Medicine, Department of Infectious Diseases, Monash University, Melbourne, Australia.
  • Rosecrans K; Burnet Institute, Melbourne, Australia.
  • Kyi Tun Lwin; Department of Epidemiology and Preventive Medicine, Department of Infectious Diseases, Monash University, Melbourne, Australia.
  • Aung Kyi Min; National Malaria Control Programme, Ministry of Health and Sports, Nay Pyi Taw, Myanmar.
  • Fowkes FJI; Burnet Institute, Melbourne, Australia.
Malar J ; 20(1): 167, 2021 Mar 26.
Article em En | MEDLINE | ID: mdl-33771144
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vigilância da População / Administração de Caso / Monitoramento Epidemiológico / Aplicativos Móveis / Malária Tipo de estudo: Prognostic_studies / Qualitative_research / Screening_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vigilância da População / Administração de Caso / Monitoramento Epidemiológico / Aplicativos Móveis / Malária Tipo de estudo: Prognostic_studies / Qualitative_research / Screening_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article