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Coaching visits and supportive supervision for primary care facilities to improve malaria service data quality in Ghana

An intervention case study

Datos Bibliográficos

ID19590908
AutoresAmos Asiedu (0009-0001-8584-7352, autor de correspondencia), Rachel A Haws (0000-0003-2887-8571, Johns Hopkins University, autor de correspondencia), Wahjib Mohammed (Ghana Health Service, autor de correspondencia), Joseph Boye-Doe, Joseph Tei Boye-Doe (autor de correspondencia), Charles Agblanya (autor de correspondencia), Raphael Ntumy (autor de correspondencia), Keziah Malm (0000-0003-0190-0820, Ghana Health Service, autor de correspondencia), Paul Boateng (Ghana Health Service, autor de correspondencia), Gladys Tetteh (Philip Morris International (United States), autor de correspondencia), Lolade Oseni (Philip Morris International (United States), autor de correspondencia)
EditoresHenry Surendra (0000-0002-6029-0623)
Año2025
Volumen5
Número6
Páginase0003649
Fecha de publicación2025-06-06
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPLOS Global Public Health (JOURNAL)
Identificadores de la revistaISSN: 2767-3375 • E-ISSN: 2767-3375
EditorialPublic Library of Science (PLoS) (PUBLISHER)
DOI10.1371/journal.pgph.0003649
PMID40478884
OpenAlexW4411087070
IdiomaEN
Citas recibidas2
Referencias citadas30

Effective decision-making for malaria prevention and control depends on timely, accurate, and appropriately analyzed and interpreted data. Poor quality data reported into national health management information systems (HMIS) prevent managers at the district level from planning effectively for malaria in Ghana. We analyzed reports from a series of 3 data coaching visits conducted at 231 health facilities in six of Ghana’s 16 regions between February and November 2021. The visits targeted health workers’ knowledge and skills in malaria data recording, HMIS reporting, and how managers visualized and used HMIS data for planning and decision making. A before-after design was used to assess how data coaching visits affected data documentation practices and compliance with standards of practice, quality and completeness of national HMIS data, and use of facility-based malaria indicator wall charts for decision-making at health facilities. The percentage of health workers demonstrating good understanding of standards of practice in documentation, reporting and data use increased from 72 to 83% (p

Business · Coaching · Data quality · Documentation · Environmental health · Family medicine · Malaria · Operations management · Quality management · Computer Science · Data-Driven Disease Surveillance · Engineering · Global Maternal and Child Health · Malaria Research and Control · Medicine · Nursing · Psychology · Marketing

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Obras citantes distintas2
Citas por año2
Intervalo de citas2026 - 2026 (1)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 2
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