Literature DB >> 26179586

Evaluating the feasibility and utility of translating Choosing Wisely recommendations into e-Measures.

Kanaka D Shetty1, Daniella Meeker2, Eric C Schneider3, Peter S Hussey4, Cheryl L Damberg5.   

Abstract

BACKGROUND: Efforts to reduce health care spending have focused on reducing use of low-value services, but relatively few performance measures address overuse of care. In 2012, the American Board of Internal Medicine Foundation's "Choosing Wisely" (CW) campaign identified 45 low-value services that clinicians and patients should avoid. Translating these overuse concepts into performance measures could assist in discouraging the use of these services. We assessed the feasibility and utility of converting these recommendations into e-Measures based on data from electronic health records [EHR]).
MATERIALS AND METHODS: We used four criteria to evaluate 45 CW recommendations for e-Measure development: (1) feasibility of extracting needed data from EHR systems meeting Meaningful Use Stage 2 standards; (2) whether the recommendation's terminology was sufficiently specific for translation into an e-Measure; (3) scientific evidence supporting the recommendation; and (4) impact on reducing resource use.
RESULTS: Only six of the 45 CW recommendations were deemed feasible for e-Measure development. Thirty-two recommendations require data elements unlikely to be found in current EHR systems; eight of 45 recommendations do not use sufficiently specific terminology.
CONCLUSIONS: Improved capture of clinical information in EHRs and greater specificity of clinical terminology are required to advance these overuse concepts into standardized e-measures.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Choosing Wisely; Efficiency measures; Health information technology; Overuse measures; e-Measures

Mesh:

Year:  2015        PMID: 26179586     DOI: 10.1016/j.hjdsi.2014.12.002

Source DB:  PubMed          Journal:  Healthc (Amst)        ISSN: 2213-0764


  6 in total

1.  Payer Type and Low-Value Care: Comparing Choosing Wisely Services across Commercial and Medicare Populations.

Authors:  Carrie H Colla; Nancy E Morden; Thomas D Sequist; Alexander J Mainor; Zhonghe Li; Meredith B Rosenthal
Journal:  Health Serv Res       Date:  2017-02-19       Impact factor: 3.402

2.  Building a self-measuring healthcare system with computable metrics, data fusion, and substitutable apps.

Authors:  Kenneth D Mandl; Joshua C Mandel
Journal:  BMJ Outcomes       Date:  2015-04

Review 3.  A new era of quality measurement in rheumatology: electronic clinical quality measures and national registries.

Authors:  Chris Tonner; Gabriela Schmajuk; Jinoos Yazdany
Journal:  Curr Opin Rheumatol       Date:  2017-03       Impact factor: 5.006

4.  Clinicians Report Difficulty Limiting Low-Value Services in Daily Practice.

Authors:  Michael Grover; Ryan McLemore; Jon Tilburt
Journal:  J Prim Care Community Health       Date:  2016-01-13

5.  Docs with their eyes on the clock? The effect of time pressures on primary care productivity.

Authors:  Seth Freedman; Ezra Golberstein; Tsan-Yao Huang; David J Satin; Laura Barrie Smith
Journal:  J Health Econ       Date:  2021-02-23       Impact factor: 3.883

6.  Do choosing wisely recommendations about low-value care target income-generating treatments provided by members? A content analysis of 1293 recommendations.

Authors:  Joshua R Zadro; John Farey; Ian A Harris; Christopher G Maher
Journal:  BMC Health Serv Res       Date:  2019-11-11       Impact factor: 2.655

  6 in total

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