Literature DB >> 16365606

Profiling providers on use of adjuvant chemotherapy by combining cancer registry and medical record data.

Hui Zheng1, Recai Yucel, John Z Ayanian, Alan M Zaslavsky.   

Abstract

PURPOSE: Treatment information collected by cancer registries can be used to monitor the provision of guideline-recommended chemotherapy to colorectal cancer patients. Incomplete information may bias comparisons of these rates. We developed statistical methods that combine data from a registry and physicians' records to assess hospital quality. DATA: From California Cancer Registry data, we selected all patients (n=12,594) newly diagnosed with stage III colon cancer or stage II or III rectal cancer from 428 hospitals during the years 1994 to 1998. To assess rates and predictors of underreporting of chemotherapy, we surveyed physicians treating 1449 of these patients from 98 hospitals during the years 1996 to 1997.
METHODS: Using Bayesian statistical models, we imputed unobserved treatments. We studied the impact of underreporting on provider profiling by comparing rankings, estimates, and credible intervals based only on registry data to those incorporating physician survey data.
RESULTS: Analyses that account for incompleteness of reporting yielded wider credible intervals for provider profiles than those that ignored such incompleteness. Among the 109 (25%) hospitals in the highest quartile of chemotherapy rates according to the registry data, 16 were not so classified when incomplete reporting was taken into account. With the more comprehensive model, 12 hospitals could be identified that ranked in the top quartile with probability>0.90.
CONCLUSION: Estimates of adjusted hospital chemotherapy rates based solely on cancer registry data overstate the precision of assessments of hospital quality. Using additional information from a physician survey and applying rigorous statistical models, better inferences can be drawn about provider quality.

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Year:  2006        PMID: 16365606     DOI: 10.1097/01.mlr.0000188910.88374.11

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  8 in total

1.  Understanding the challenges of adjuvant treatment measurement and reporting in breast cancer: cancer treatment measuring and reporting.

Authors:  Nina A Bickell; Ann Scheck McAlearney; Jill Wellner; Kezhen Fei; Rebeca Franco
Journal:  Med Care       Date:  2013-06       Impact factor: 2.983

2.  Use of surveillance for hepatocellular carcinoma among patients with cirrhosis in the United States.

Authors:  Jessica A Davila; Robert O Morgan; Peter A Richardson; Xianglin L Du; Katherine A McGlynn; Hashem B El-Serag
Journal:  Hepatology       Date:  2010-07       Impact factor: 17.425

3.  How to improve breast cancer care measurement and reporting: suggestions from a complex urban hospital.

Authors:  Ann Scheck McAlearney; Jill Wellner; Nina A Bickell
Journal:  J Healthc Manag       Date:  2013 May-Jun

4.  Profiling hospitals by survival of patients with colorectal cancer.

Authors:  Hui Zheng; Wei Zhang; John Z Ayanian; Lawrence B Zaborski; Alan M Zaslavsky
Journal:  Health Serv Res       Date:  2011-01-06       Impact factor: 3.402

5.  Combining information from cancer registry and medical records data to improve analyses of adjuvant cancer therapies.

Authors:  Yulei He; Alan M Zaslavsky
Journal:  Biometrics       Date:  2009-02-04       Impact factor: 2.571

6.  Misreporting, Missing Data, and Multiple Imputation: Improving Accuracy of Cancer Registry Databases.

Authors:  Yulei He; Recai Yucel; Alan M Zaslavsky
Journal:  Chance (N Y)       Date:  2008-09

7.  Provider monitoring and pay-for-performance when multiple providers affect outcomes: An application to renal dialysis.

Authors:  Richard A Hirth; Marc N Turenne; John R C Wheeler; Qing Pan; Yu Ma; Joseph M Messana
Journal:  Health Serv Res       Date:  2009-06-22       Impact factor: 3.402

8.  Utility of routine data sources for feedback on the quality of cancer care: an assessment based on clinical practice guidelines.

Authors:  Michael Coory; Bridie Thompson; Peter Baade; Lin Fritschi
Journal:  BMC Health Serv Res       Date:  2009-05-27       Impact factor: 2.655

  8 in total

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