Literature DB >> 19932907

Does voluntary reporting bias hospital quality rankings?

Amir A Ghaferi1, Nicholas H Osborne, Justin B Dimick.   

Abstract

BACKGROUND: The Leapfrog Group, a large consortium of private payers, collects voluntary, self-reported quality information from hospitals for several different procedures. Critics argue that voluntary reporting leads to over-representation of high quality hospitals.
MATERIALS AND METHODS: We used data from 1169 hospitals participating in the 2008 Leapfrog Survey for six high-risk procedures. We first ranked the hospitals who voluntarily submitted data to Leapfrog using a composite quality measure (a combination of mortality and hospital volume). We then created a similar set of rankings for a national sample of hospitals from the 2006 Nationwide Inpatient Sample (NIS). Next, we created four groups (quartiles) of hospital performance based on the national sample of hospitals. Finally, we compared the Leapfrog hospitals with the national sample of hospitals. If voluntary reporting resulted in bias, we would expect the Leapfrog hospitals to cluster in the top quartiles for each procedure.
RESULTS: The distribution of the Leapfrog hospitals within the NIS performance quartiles varied extensively across procedures. For abdominal aortic aneurysm repair and coronary artery bypass grafting, there was a clustering of hospitals in the two worst quartiles (64% and 65%, respectively). Conversely, for aortic valve replacement, pancreatectomy, percutaneous coronary interventions, and esophagectomy, there were 52%, 56%, 57%, and 61% of hospitals in the top half, respectively.
CONCLUSIONS: In the Leapfrog Survey, voluntary reporting did not lead to a systematic over-representation of high quality hospitals. There should be little concern that hospital quality rankings would have significant bias introduced by voluntary participation of hospitals. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19932907     DOI: 10.1016/j.jss.2009.07.033

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  4 in total

1.  Completeness and selection bias of a Belgian multidisciplinary, registration-based study on the EFFectiveness and quality of Endometrial Cancer Treatment (EFFECT).

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Journal:  BMC Cancer       Date:  2022-06-01       Impact factor: 4.638

2.  Association Between Hospital Staffing Models and Failure to Rescue.

Authors:  Sarah T Ward; Justin B Dimick; Wenying Zhang; Darrell A Campbell; Amir A Ghaferi
Journal:  Ann Surg       Date:  2019-07       Impact factor: 12.969

3.  Dissecting Leapfrog: How Well Do Leapfrog Safe Practices Scores Correlate With Hospital Compare Ratings and Penalties, and How Much Do They Matter?

Authors:  Shawna N Smith; Heidi A Reichert; Jessica M Ameling; Jennifer Meddings
Journal:  Med Care       Date:  2017-06       Impact factor: 2.983

Review 4.  Assessing hospital performance indicators. What dimensions? Evidence from an umbrella review.

Authors:  Elettra Carini; Irene Gabutti; Emanuela Maria Frisicale; Andrea Di Pilla; Angelo Maria Pezzullo; Chiara de Waure; Americo Cicchetti; Stefania Boccia; Maria Lucia Specchia
Journal:  BMC Health Serv Res       Date:  2020-11-12       Impact factor: 2.655

  4 in total

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