Literature DB >> 18780934

The potential effects of HEDIS performance measures on the quality of care.

David M Eddy1, L Gregory Pawlson, David Schaaf, Barbara Peskin, Andrei Shcheprov, Julia Dziuba, Jill Bowman, Benjamin Eng.   

Abstract

We analyzed the potential effects of different levels of performance on eight Health Care Employer Data and Information Set (HEDIS) measures for cardiovascular disease and diabetes during 1995-2005. The measures targeted 3.3 million (25 percent) heart attacks. Improvements in performance to those achieved by the median plan in 2005 imply prevention of 1.9 million myocardial infarctions (MIs, 15 percent), 0.8 million strokes (8 percent), and 0.1 million cases of end-stage renal disease (17 percent). If performance had been 100 percent, 1.4 million more MIs would have been prevented. Control of blood pressure has the largest potential effect on quality at the national level.

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Year:  2008        PMID: 18780934     DOI: 10.1377/hlthaff.27.5.1429

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  10 in total

1.  Public health systems and services research: bridging the practice-research gap.

Authors:  F Douglas Scutchfield; Cynthia D Lamberth
Journal:  Public Health Rep       Date:  2010 Sep-Oct       Impact factor: 2.792

2.  Trends in time to confirmation and recognition of new-onset hypertension, 2002-2006.

Authors:  Joe V Selby; Janelle Lee; Bix E Swain; Heather M Tavel; P Michael Ho; Karen L Margolis; Patrick J O'Connor; Lawrence Fine; Julie A Schmittdiel; David J Magid
Journal:  Hypertension       Date:  2010-08-23       Impact factor: 10.190

3.  Albuminuria Testing by Race and Ethnicity among Patients with Hypertension with and without Diabetes.

Authors:  Joi Lee; Chi Chu; David Guzman; Valy Fontil; Alexandra Velasquez; Neil R Powe; Delphine S Tuot
Journal:  Am J Nephrol       Date:  2019-06-05       Impact factor: 3.754

4.  Cost implications of improving blood pressure management among U.S. adults.

Authors:  Teryl K Nuckols; Julia E Aledort; John Adams; Julie Lai; Myong-Hyun Go; Joan Keesey; Elizabeth McGlynn
Journal:  Health Serv Res       Date:  2011-02-09       Impact factor: 3.402

5.  Making Inroads in Addressing Population Health in Underserved Communities With Type 2 Diabetes.

Authors:  Luigi F Meneghini; Addie L Fortmann; Taylor L Clark; Kellie Rodriguez
Journal:  Diabetes Spectr       Date:  2019-11

6.  The impact of decision aids to enhance shared decision making for diabetes (the DAD study): protocol of a cluster randomized trial.

Authors:  Annie LeBlanc; Kari L Ruud; Megan E Branda; Kristina Tiedje; Kasey R Boehmer; Laurie J Pencille; Holly Van Houten; Marc Matthews; Nilay D Shah; Carl R May; Barbara P Yawn; Victor M Montori
Journal:  BMC Health Serv Res       Date:  2012-05-28       Impact factor: 2.655

7.  Use of IndiGO individualized clinical guidelines in primary care.

Authors:  Jim Bellows; Samir Patel; Scott S Young
Journal:  J Am Med Inform Assoc       Date:  2013-09-12       Impact factor: 4.497

8.  Health-weighted Composite Quality Metrics Offer Promise to Improve Health Outcomes in a Learning Health System.

Authors:  Scott Braithwaite; Nicholas Stine
Journal:  EGEMS (Wash DC)       Date:  2013-10-28

9.  Medical assistant health coaching ("MAC") for type 2 diabetes in diverse primary care settings: A pragmatic, cluster-randomized controlled trial protocol.

Authors:  Addie L Fortmann; Athena Philis-Tsimikas; Johanna A Euyoque; Taylor L Clark; Daniela G Vital; Haley Sandoval; Julia I Bravin; Kimberly L Savin; Jennifer A Jones; Scott Roesch; Todd Gilmer; Thomas Bodenheimer; James Schultz; Linda C Gallo
Journal:  Contemp Clin Trials       Date:  2020-10-11       Impact factor: 2.226

10.  Using Clinical Data Standards to Measure Quality: A New Approach.

Authors:  John D D'Amore; Chun Li; Laura McCrary; Jonathan M Niloff; Dean F Sittig; Allison B McCoy; Adam Wright
Journal:  Appl Clin Inform       Date:  2018-06-13       Impact factor: 2.342

  10 in total

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