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

An intervention case study

Dados Bibliográficos

ID19590908
AutoresAmos Asiedu (0009-0001-8584-7352, autor correspondente), Rachel A Haws (0000-0003-2887-8571, Johns Hopkins University, autor correspondente), Wahjib Mohammed (Ghana Health Service, autor correspondente), Joseph Boye-Doe, Joseph Tei Boye-Doe (autor correspondente), Charles Agblanya (autor correspondente), Raphael Ntumy (autor correspondente), Keziah Malm (0000-0003-0190-0820, Ghana Health Service, autor correspondente), Paul Boateng (Ghana Health Service, autor correspondente), Gladys Tetteh (Philip Morris International (United States), autor correspondente), Lolade Oseni (Philip Morris International (United States), autor correspondente)
EditoresHenry Surendra (0000-0002-6029-0623)
Ano2025
Volume5
Fascículo6
Páginase0003649
Data de publicação2025-06-06
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoPLOS Global Public Health (JOURNAL)
Identificadores do periódicoISSN: 2767-3375 • E-ISSN: 2767-3375
EditoraPublic Library of Science (PLoS) (PUBLISHER)
DOI10.1371/journal.pgph.0003649
PMID40478884
OpenAlexW4411087070
IdiomaEN
Citações recebidas2
Referências 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