Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/119551
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Type: Journal article
Title: Developing indicators for measuring low-value care: mapping Choosing Wisely recommendations to hospital data
Author: Chalmers, K.
Badgery-Parker, T.
Pearson, S.A.
Brett, J.
Scott, I.A.
Elshaug, A.G.
Citation: BMC Research Notes, 2018; 11(1):163-163
Publisher: BMC
Issue Date: 2018
ISSN: 1756-0500
1756-0500
Statement of
Responsibility: 
Kelsey Chalmers, Tim Badgery-Parker, Sallie-Anne Pearson, Jonathan Brett, Ian A. Scott, Adam G. Elshaug
Abstract: Low-value health care refers to interventions where the risk of harm or costs exceeds the likely benefit for a patient. We aimed to develop indicators of low-value care, based on selected Choosing Wisely (CW) recommendations, applicable to routinely collected, hospital claims data.We assessed 824 recommendations from the United States, Canada, Australia and the United Kingdom CW lists regarding their capacity to be measured in administrative hospital admissions datasets. We selected recommendations if they met the following criteria: the service occurred in the hospital setting (observable in setting); a claim recorded the use of the service (record of service); the appropriate/inappropriate use of the service could be mapped to information within the hospital claim (indication); and the service is consistently recorded in the claims (consistent documentation). We identified 17 recommendations (15 services) as measurable. We then developed low-value care indicators for two hospital datasets based on the selected recommendations, previously published indicators, and clinical input.
Keywords: Inappropriate care; low-value care; quality measurement; choosing wisely; hospitals; quality of health care; disinvestment
Rights: © The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creat iveco mmons .org/licen ses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creat iveco mmons .org/ publi cdoma in/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
DOI: 10.1186/s13104-018-3270-4
Grant ID: http://purl.org/au-research/grants/nhmrc/1060407
http://purl.org/au-research/grants/nhmrc/1109626
http://purl.org/au-research/grants/nhmrc/1094304
Published version: http://dx.doi.org/10.1186/s13104-018-3270-4
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