SAGE Journals Online
Advertisement
Sign In to gain access to subscriptions and/or personal tools.

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Advertisement

Sign In to gain access to subscriptions and/or personal tools.
American Journal of Medical Quality
This Article
Right arrow Full Text (OnlineFirst PDF)
Right arrow All Versions of this Article:
1062860608330828v1
24/2/123    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Ta, S.
Right arrow Articles by Asch, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ta, S.
Right arrow Articles by Asch, S.
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Article

Addressing Physician Concerns About Performance Profiling: Experience With a Local Veterans Affairs Quality Evaluation Program

Sony Ta, MD, MPH1*, Caroline Goldzweig, MD, MSHS2, Michael Juzba, PharmD, MBA3, Martin Lee, PhD2, Neil Wenger, MD, MPH1, Elizabeth M. Yano, PhD2, and Steve Asch, MD, MSHS2

1 UCLA Department of General Internal Medicine and Health Services Research, Los Angeles, CA
2 Greater Los Angeles VA Healthcare System, Los Angeles, CA
3 Long Beach VA Healthcare System, Long Beach, CA

* To whom correspondence should be addressed. E-mail: drsonyta{at}gmail.com.


  Abstract
The Authors investigated the addition of novel quality indicators, patient risk adjustment, and simple statistics in an ongoing clinician feedback initiative that profiles diabetes care for 13 Veterans Affairs (VA) clinics. Data were extracted from a computerized database for calendar years 2004 to 2005. Performance was assessed with 4 monitoring measures, 3 intermediate outcomes, and 3 appropriate treatment measures. Attainment rates for each indicator were calculated by clinic. The effect of risk adjustment and the significance of clinic performance variation were determined with multivariate logistic models. Analysis of the 10 quality measures revealed lower attainment and greater clinic-level variation for the less familiar indicators. Statistically significant performance variations were detected among clinics, with several being of a clinically important magnitude. Risk adjustment did not substantially change performance. The addition of clinically relevant quality measures and simple statistics appeared to enhance the characterization of performance by this profiling program. (Am J Med Qual XXXX;XX:xx-xx)

First published on February 19, 2009, doi:10.1177/1062860608330828

American Journal of Medical Quality 2009;24:123.

A more recent version of this article appeared on March 1, 2009

Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?




Advertisement