Literature DB >> 20019317

Measuring quality for public reporting of health provider quality: making it meaningful to patients.

Dana B Mukamel1, Laurent G Glance, Andrew W Dick, Turner M Osler.   

Abstract

Public quality reports of hospitals, health plans, and physicians are being used to promote efficiency and quality in the health care system. Shrinkage estimators have been proposed as superior measures of quality to be used in these reports because they offer more conservative and stable quality ranking of providers than traditional, nonshrinkage estimators. Adopting the perspective of a patient faced with choosing a local provider on the basis of publicly provided information, we examine the advantages and disadvantages of shrinkage and nonshrinkage estimators and contrast the information made available by them. We demonstrate that 2 properties of shrinkage estimators make them less useful than nonshrinkage estimators for patients making choices in their area of residence.

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Year:  2009        PMID: 20019317      PMCID: PMC2804637          DOI: 10.2105/AJPH.2008.153759

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  21 in total

1.  Identification of in-hospital complications from claims data. Is it valid?

Authors:  A G Lawthers; E P McCarthy; R B Davis; L E Peterson; R H Palmer; L I Iezzoni
Journal:  Med Care       Date:  2000-08       Impact factor: 2.983

Review 2.  Cardiac surgery report cards: comprehensive review and statistical critique.

Authors:  D M Shahian; S L Normand; D F Torchiana; S M Lewis; J O Pastore; R E Kuntz; P I Dreyer
Journal:  Ann Thorac Surg       Date:  2001-12       Impact factor: 4.330

3.  The relationship between hospital volume and outcome in bariatric surgery at academic medical centers.

Authors:  Ninh T Nguyen; Mahbod Paya; C Melinda Stevens; Shahrzad Mavandadi; Kambiz Zainabadi; Samuel E Wilson
Journal:  Ann Surg       Date:  2004-10       Impact factor: 12.969

4.  An examination of the volume-mortality relationship for New York State trauma centers.

Authors:  A Cooper; E L Hannan; P Q Bessey; L S Farrell; C G Cayten; L Mottley
Journal:  J Trauma       Date:  2000-01

5.  Patient volume per surgeon does not predict survival in adult level I trauma centers.

Authors:  D R Margulies; H G Cryer; D L McArthur; S S Lee; F S Bongard; A W Fleming
Journal:  J Trauma       Date:  2001-04

6.  Outcome and cost of craniotomy performed to treat tumors in regional academic referral centers.

Authors:  Donlin M Long; Toby Gordon; Helen Bowman; Anthony Etzel; Gregg Burleyson; Simone Betchen; Ira M Garonzik; Henry Brem
Journal:  Neurosurgery       Date:  2003-05       Impact factor: 4.654

7.  Rating the quality of intensive care units: is it a function of the intensive care unit scoring system?

Authors:  Laurent G Glance; Turner M Osler; Andrew Dick
Journal:  Crit Care Med       Date:  2002-09       Impact factor: 7.598

8.  Association of procedure volume with radical cystectomy outcomes in a nationwide database.

Authors:  Christopher E Barbieri; Byron Lee; Michael S Cookson; John Bingham; Peter E Clark; Joseph A Smith; Sam S Chang
Journal:  J Urol       Date:  2007-08-16       Impact factor: 7.450

9.  The relation between trauma center outcome and volume in the National Trauma Databank.

Authors:  Laurent G Glance; Turner M Osler; Andrew Dick; Dana Mukamel
Journal:  J Trauma       Date:  2004-03

10.  Effects of surgeon volume and hospital volume on quality of care in hospitals.

Authors:  R G Hughes; S S Hunt; H S Luft
Journal:  Med Care       Date:  1987-06       Impact factor: 2.983

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  11 in total

1.  Improving The Accuracy Of Hospital Quality Ratings By Focusing On The Association Between Volume And Outcome.

Authors:  Laurent G Glance; Caroline P Thirukumaran; Yue Li; Shan Gao; Andrew W Dick
Journal:  Health Aff (Millwood)       Date:  2020-05       Impact factor: 6.301

2.  Statistical benchmarks for health care provider performance assessment: a comparison of standard approaches to a hierarchical Bayesian histogram-based method.

Authors:  Susan M Paddock
Journal:  Health Serv Res       Date:  2014-01-24       Impact factor: 3.402

3.  Improving Medicare's Hospital Compare Mortality Model.

Authors:  Jeffrey H Silber; Ville A Satopää; Nabanita Mukherjee; Veronika Rockova; Wei Wang; Alexander S Hill; Orit Even-Shoshan; Paul R Rosenbaum; Edward I George
Journal:  Health Serv Res       Date:  2016-03-14       Impact factor: 3.402

4.  The Hospital Compare mortality model and the volume-outcome relationship.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Tanguy J Brachet; Richard N Ross; Laura J Bressler; Orit Even-Shoshan; Scott A Lorch; Kevin G Volpp
Journal:  Health Serv Res       Date:  2010-10       Impact factor: 3.402

5.  Does mandating nursing home participation in quality reporting make a difference? Evidence from Massachusetts.

Authors:  Dana B Mukamel; Zhiqiu Ye; Laurent G Glance; Yue Li
Journal:  Med Care       Date:  2015-08       Impact factor: 2.983

6.  Based on key measures, care quality for Medicare enrollees at safety-net and non-safety-net hospitals was almost equal.

Authors:  Joseph S Ross; Susannah M Bernheim; Zhenqiu Lin; Elizabeth E Drye; Jersey Chen; Sharon-Lise T Normand; Harlan M Krumholz
Journal:  Health Aff (Millwood)       Date:  2012-08       Impact factor: 6.301

7.  Validating posttransplant hepatocellular carcinoma recurrence data in the United Network for Organ Sharing database.

Authors:  Mariya L Samoylova; Jennifer L Dodge; Eric Vittinghoff; Francis Y Yao; John Paul Roberts
Journal:  Liver Transpl       Date:  2013-10-21       Impact factor: 5.799

8.  Impact of Hospital Readmissions Reduction Program Penalties on Hip and Knee Replacement Readmissions: Comparison of Hospitals at Risk of Varying Penalty Amounts.

Authors:  Caroline P Thirukumaran; Brian E McGarry; Laurent G Glance; Meiling Ying; Benjamin F Ricciardi; Xueya Cai; Yue Li
Journal:  J Bone Joint Surg Am       Date:  2020-01-02       Impact factor: 6.558

9.  Fixed effects modelling for provider mortality outcomes: Analysis of the Australia and New Zealand Intensive Care Society (ANZICS) Adult Patient Data-base.

Authors:  John L Moran; Patricia J Solomon
Journal:  PLoS One       Date:  2014-07-16       Impact factor: 3.240

10.  Public reporting improves antibiotic prescribing for upper respiratory tract infections in primary care: a matched-pair cluster-randomized trial in China.

Authors:  Lianping Yang; Chaojie Liu; Lijun Wang; Xi Yin; Xinping Zhang
Journal:  Health Res Policy Syst       Date:  2014-10-10
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