Statewide Longitudinal Progression of the Whole-Patient Measure of Safety in South Carolina.

Loading...
Thumbnail Image

Date

2018-09

Journal Title

Journal ISSN

Volume Title

Repository Usage Stats

63
views
15
downloads

Citation Stats

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.

Department

Description

Provenance

Citation

Published Version (Please cite this version)

10.1097/jhq.0000000000000092

Publication Info

Turley, Christine B, Jordan Brittingham, Aunyika Moonan, Dianne Davis and Hrishikesh Chakraborty (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.

Scholars@Duke

Chakraborty

Hrishikesh Chakraborty

Professor of Biostatistics & Bioinformatics

Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.