Literature DB >> 29419821

The Use of Individual Provider Performance Reports by US Hospitals.

Joshua A Rolnick1,2,3,4, Kira L Ryskina1,3.   

Abstract

Medicare reimbursement for hospitals is increasingly tied to performance. The use of individual provider performance reports offers the potential to improve clinical outcomes through social comparison, and isolated cases of clinical dashboard uses at specific institutions have been previously reported. However, little is known about overall trends in how hospitals use the electronic health record to track and provide feedback on provider performance. We used data from 2013 to 2015 from the American Hospital Association (AHA) Annual Survey Information Technology Supplement, which asked hospitals if they have used electronic data to create performance profiles. We linked these data to AHA Annual Survey responses for all general adult and pediatric hospitals. Multivariable logistic regression was used to model the odds of use as a function of hospital characteristics. In 2015, 65.8% of the 2334 respondents used performance profiles, whereas 59.3% of the 2077 respondents used them in 2013. Report use was associated with non-profit status (odds ratio [OR], 2.77; 95% confidence interval [CI], 1.94-3.95) compared to for-profit, large hospital size (OR, 2.37; 95% CI, 1.56-3.60) compared to small size, highest quartile of bed-adjusted expenditures compared to bottom quartile (OR, 2.09; 95% CI, 1.55-2.82; P < .01), and participation in a health maintenance organization (OR, 1.50; 95% CI, 1.17-1.90; P < .01) or bundled payment program (OR, 1.61; 95% CI, 1.18- 2.19; P < .01). While a majority of hospitals now use such profiles, more than a third do not. The hospitals that do not use performance profiles may be less well positioned to adapt to value-based payment reforms.
© 2018 Society of Hospital Medicine.

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Year:  2018        PMID: 29419821      PMCID: PMC6407620          DOI: 10.12788/jhm.2922

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.960


  16 in total

1.  Physician attitudes, self-estimated performance and actual compliance with locally peer-defined quality evaluation criteria.

Authors:  P J Saturno; R H Palmer; J J Gascón
Journal:  Int J Qual Health Care       Date:  1999-12       Impact factor: 2.038

2.  Using the lessons of behavioral economics to design more effective pay-for-performance programs.

Authors:  Ateev Mehrotra; Melony E S Sorbero; Cheryl L Damberg
Journal:  Am J Manag Care       Date:  2010-07       Impact factor: 2.229

3.  Using Behavioral Economics to Design Physician Incentives That Deliver High-Value Care.

Authors:  Ezekiel J Emanuel; Peter A Ubel; Judd B Kessler; Gregg Meyer; Ralph W Muller; Amol S Navathe; Pankaj Patel; Robert Pearl; Meredith B Rosenthal; Lee Sacks; Aditi P Sen; Paul Sherman; Kevin G Volpp
Journal:  Ann Intern Med       Date:  2015-11-24       Impact factor: 25.391

4.  Use of electronic health records in U.S. hospitals.

Authors:  Ashish K Jha; Catherine M DesRoches; Eric G Campbell; Karen Donelan; Sowmya R Rao; Timothy G Ferris; Alexandra Shields; Sara Rosenbaum; David Blumenthal
Journal:  N Engl J Med       Date:  2009-03-25       Impact factor: 91.245

5.  Electronic health record feedback to improve antibiotic prescribing for acute respiratory infections.

Authors:  Jeffrey A Linder; Jeffrey L Schnipper; Ruslana Tsurikova; D Tony Yu; Lynn A Volk; Andrea J Melnikas; Matvey B Palchuk; Maya Olsha-Yehiav; Blackford Middleton
Journal:  Am J Manag Care       Date:  2010-12       Impact factor: 2.229

6.  The Medicare Access And CHIP Reauthorization Act: Effects On Medicare Payment Policy And Spending.

Authors:  Peter S Hussey; Jodi L Liu; Chapin White
Journal:  Health Aff (Millwood)       Date:  2017-04-01       Impact factor: 6.301

7.  The Next Generation of Episode-Based Payments.

Authors:  Amol S Navathe; Zirui Song; Ezekiel J Emanuel
Journal:  JAMA       Date:  2017-06-20       Impact factor: 56.272

8.  Accountable care organization hospitals differ in health IT capabilities.

Authors:  Daniel M Walker; Arthur M Mora; Ann Scheck McAlearney
Journal:  Am J Manag Care       Date:  2016-12       Impact factor: 2.229

9.  Use of provider-level dashboards and pay-for-performance in venous thromboembolism prophylaxis.

Authors:  Henry J Michtalik; Howard T Carolan; Elliott R Haut; Brandyn D Lau; Michael B Streiff; Joseph Finkelstein; Peter J Pronovost; Nowella Durkin; Daniel J Brotman
Journal:  J Hosp Med       Date:  2014-12-26       Impact factor: 2.960

10.  Variation in Physician Spending and Association With Patient Outcomes.

Authors:  Yusuke Tsugawa; Ashish K Jha; Joseph P Newhouse; Alan M Zaslavsky; Anupam B Jena
Journal:  JAMA Intern Med       Date:  2017-05-01       Impact factor: 21.873

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  1 in total

1.  Effect of Social Comparison Feedback on Laboratory Test Ordering for Hospitalized Patients: A Randomized Controlled Trial.

Authors:  Kira Ryskina; C Jessica Dine; Yevgeniy Gitelman; Damien Leri; Mitesh Patel; Gregory Kurtzman; Lisa Y Lin; Andrew J Epstein
Journal:  J Gen Intern Med       Date:  2018-05-22       Impact factor: 5.128

  1 in total

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