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A quality improvement project to improve the accuracy in reporting hospital acquired infections in post cesarean section patients in a district hospital in Rwanda

Datos Bibliográficos

ID12428372
AutoresAdeline Nyiratuza (autor de correspondencia), Rex Wong (0000-0002-7742-5934, Yale University), Eva Adomako (Yale University), Jean D’ Amour Habagusenga (University of Rwanda), Jean D’Amour Habagusenga, Kidest Nadew (0000-0001-6025-3745, Yale University), Florien Hitayezu, Fabienne Nirere, Emmanuel Murekezi, Manassé Nzayirambaho (0000-0002-7602-6448, University of Rwanda)
Año2016
Volumen24
Número4
Páginas319-326
Fecha de publicación2016-09-12
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaOn the Horizon The International Journal of Learning Futures (JOURNAL)
Identificadores de la revistaISSN: 1074-8121 • E-ISSN: 2054-1708
EditorialEmerald Publishing Limited (PUBLISHER • GB)
DOI10.1108/oth-07-2016-0035
OpenAlexW2515516803
IdiomaEN
Referencias citadas13

Purpose Hospitals are responsible for protecting the well-being of their patients and staff. To do so, accurate information is needed for the hospital to make appropriate decisions and allocate resources efficiently. This study aims to describe the implementation process of a surveillance system to reduce hospital-acquired infection (HAI) reporting errors in the maternity unit of a district hospital in Rwanda. Design/methodology/approach The team adapted an evidence-based tool to identify and report HAI, provided training to staff and distributed reporting responsibilities equally between the maternity staff to improve accuracy in HAI reporting. Findings The intervention successfully reduced the reporting discrepancy of HAI from 6.5 to 1.9 per cent: p < 0.05. Practical implications This case study described the implementation process of a surveillance system using strategic problem solving to reduce HAI reporting errors. The results can inform hospitals in similar settings of the steps to follow to implement a cost-neutral HAI surveillance system to reduce reporting errors. The accurate data will enable the hospital to take corrective measures to address HAI in the future. Originality/value The results will inform hospitals in similar settings of steps to follow to implement a cost-neutral HAI surveillance system using the SPS approach to reduce reporting errors

Medical emergency · Operations management · Quality (philosophy · Quality management · Unit (ring theory · Engineering · Global Maternal and Child Health · Medical Malpractice and Liability Issues · Medicine · Patient Safety and Medication Errors · Psychology

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    Susan Michie•BMJ Quality & Safety•2005

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    Open Access•Rajesh Kumar, Sanjay Mehendale et al.•BMC Public Health•2011

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