Statewide Longitudinal Progression of the Whole-Patient Measure of Safety in South Carolina.
Abstract
Meaningful improvement in patient safety encompasses a vast number of quality metrics,
but a single measure to represent the overall level of safety is challenging to produce.
Recently, Perla et al. established the Whole-Person Measure of Safety (WPMoS) to reflect
the concept of global risk assessment at the patient level. We evaluated the WPMoS
across an entire state to understand the impact of urban/rural setting, academic status,
and hospital size on patient safety outcomes. The population included all South Carolina
(SC) inpatient discharges from January 1, 2008, through to December 31, 2013, and
was evaluated using established definitions of highly undesirable events (HUEs). Over
the study period, the proportion of hospital discharges with at least one HUE significantly
decreased from 9.7% to 8.8%, including significant reductions in nine of the 14 HUEs.
Academic, large, and urban hospitals had a significantly lower proportion of hospital
discharges with at least one HUE in 2008, but only urban hospitals remained significantly
lower by 2013. Results indicate that there has been a decrease in harm events captured
through administrative coded data over this 6-year period. A composite measure, such
as the WPMoS, is necessary for hospitals to evaluate their progress toward reducing
preventable harm.
Type
Journal articleSubject
HumansPatient Discharge
Longitudinal Studies
Safety Management
Adolescent
Adult
Aged
Aged, 80 and over
Middle Aged
Hospitals, Urban
Medical Errors
South Carolina
Female
Male
Young Adult
Patient Safety
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https://hdl.handle.net/10161/21987Published Version (Please cite this version)
10.1097/jhq.0000000000000092Publication Info
Turley, Christine B; Brittingham, Jordan; Moonan, Aunyika; Davis, Dianne; & Chakraborty,
Hrishikesh (2018). Statewide Longitudinal Progression of the Whole-Patient Measure of Safety in South
Carolina. Journal for healthcare quality : official publication of the National Association
for Healthcare Quality, 40(5). pp. 256-264. 10.1097/jhq.0000000000000092. Retrieved from https://hdl.handle.net/10161/21987.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Hrishikesh Chakraborty
Associate Professor of Biostatistics & Bioinformatics

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