Literature DB >> 22641246

Monitoring performance for blood pressure management among patients with diabetes mellitus: too much of a good thing?

Eve A Kerr1, Michelle A Lucatorto, Rob Holleman, Mary M Hogan, Mandi L Klamerus, Timothy P Hofer.   

Abstract

BACKGROUND: Performance measures that reward achieving blood pressure (BP) thresholds may contribute to overtreatment. We developed a tightly linked clinical action measure designed to encourage appropriate medical management and a marker of potential overtreatment, designed to monitor overly aggressive treatment of hypertension in the face of low diastolic BP.
METHODS: We conducted a retrospective cohort study in 879 Department of Veterans Affairs (VA) medical centers and smaller community-based outpatient clinics. The clinical action measure for hypertension was met if the patient had a passing index BP at the visit or had an appropriate action. We examined the rate of passing the action measure and of potential overtreatment in the Veterans Health Administration during 2009-2010.
RESULTS: There were 977,282 established VA patients, 18 years and older, with diabetes mellitus (DM). A total of 713,790 patients were eligible for the action measure; 94% passed the measure (82% because they had a BP <140/90 mm Hg at the visit and an additional 12% with a BP ≥140/90 mm Hg and appropriate clinical actions). Facility pass rates varied from 77% to 99% (P < .001). Among all patients with DM, 197,291 (20%) had a BP lower than 130/65 mm Hg; of these, 80 903 (8% of all patients with DM) had potential overtreatment. Facility rates of potential overtreatment varied from 3% to 20% (P < .001). Facilities with higher rates of meeting the current threshold measure (<140/90 mm Hg) had higher rates of potential overtreatment (P < .001).
CONCLUSIONS: While 94% of diabetic veterans met the action measure, rates of potential overtreatment are currently approaching the rate of undertreatment, and high rates of achieving current threshold measures are directly associated with overtreatment. Implementing a clinical action measure for hypertension management, as the Veterans Health Administration is planning to do, may result in more appropriate care and less overtreatment.

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Year:  2012        PMID: 22641246      PMCID: PMC3699173          DOI: 10.1001/archinternmed.2012.2253

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  40 in total

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Authors:  Vincenza Snow; Kevin B Weiss; Christel Mottur-Pilson
Journal:  Ann Intern Med       Date:  2003-04-01       Impact factor: 25.391

2.  Comparing clinical automated, medical record, and hybrid data sources for diabetes quality measures.

Authors:  Eve A Kerr; Dylan M Smith; Mary M Hogan; Sarah L Krein; Leonard Pogach; Timothy P Hofer; Rodney A Hayward
Journal:  Jt Comm J Qual Improv       Date:  2002-10

Review 3.  The evolving diabetes burden in the United States.

Authors:  Michael M Engelgau; Linda S Geiss; Jinan B Saaddine; James P Boyle; Stephanie M Benjamin; Edward W Gregg; Edward F Tierney; Nilka Rios-Burrows; Ali H Mokdad; Earl S Ford; Giuseppina Imperatore; K M Venkat Narayan
Journal:  Ann Intern Med       Date:  2004-06-01       Impact factor: 25.391

4.  Avoiding pitfalls in chronic disease quality measurement: a case for the next generation of technical quality measures.

Authors:  E A Kerr; S L Krein; S Vijan; T P Hofer; R A Hayward
Journal:  Am J Manag Care       Date:  2001-11       Impact factor: 2.229

Review 5.  Treatment of hypertension in type 2 diabetes mellitus: blood pressure goals, choice of agents, and setting priorities in diabetes care.

Authors:  Sandeep Vijan; Rodney A Hayward
Journal:  Ann Intern Med       Date:  2003-04-01       Impact factor: 25.391

6.  Building a better quality measure: are some patients with 'poor quality' actually getting good care?

Authors:  Eve A Kerr; Dylan M Smith; Mary M Hogan; Timothy P Hofer; Sarah L Krein; Martin Bermann; Rodney A Hayward
Journal:  Med Care       Date:  2003-10       Impact factor: 2.983

7.  Can we use automated data to assess quality of hypertension care?

Authors:  Ann M Borzecki; Ashley T Wong; Elaine C Hickey; Arlene S Ash; Dan R Berlowitz
Journal:  Am J Manag Care       Date:  2004-07       Impact factor: 2.229

8.  Diabetes care quality in the Veterans Affairs Health Care System and commercial managed care: the TRIAD study.

Authors:  Eve A Kerr; Robert B Gerzoff; Sarah L Krein; Joseph V Selby; John D Piette; J David Curb; William H Herman; David G Marrero; K M Venkat Narayan; Monika M Safford; Theodore Thompson; Carol M Mangione
Journal:  Ann Intern Med       Date:  2004-08-17       Impact factor: 25.391

9.  The J-curve phenomenon and the treatment of hypertension. Is there a point beyond which pressure reduction is dangerous?

Authors:  L Farnett; C D Mulrow; W D Linn; C R Lucey; M R Tuley
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10.  Blood pressure and cardiovascular disease risk in the Veterans Affairs Diabetes Trial.

Authors:  Robert J Anderson; Gideon D Bahn; Thomas E Moritz; Derrick Kaufman; Carlos Abraira; William Duckworth
Journal:  Diabetes Care       Date:  2010-11-08       Impact factor: 19.112

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  35 in total

1.  Measuring Success in Health Care Value-Based Purchasing Programs: Findings from an Environmental Scan, Literature Review, and Expert Panel Discussions.

Authors:  Cheryl L Damberg; Melony E Sorbero; Susan L Lovejoy; Grant R Martsolf; Laura Raaen; Daniel Mandel
Journal:  Rand Health Q       Date:  2014-12-30

2.  Metrics of quality care in veterans: correlation between primary-care performance measures and inappropriate myocardial perfusion imaging.

Authors:  David E Winchester; Andrew Kitchen; John C Brandt; Raman S Dusaj; Salim S Virani; Steven M Bradley; Leslee J Shaw; Rebecca J Beyth
Journal:  Clin Cardiol       Date:  2015-04-13       Impact factor: 2.882

3.  The increasing importance of quality measures for trainees.

Authors:  Sameer D Saini; Akbar K Waljee; Philip Schoenfeld; Eve A Kerr; Sandeep Vijan
Journal:  Gastroenterology       Date:  2014-08-23       Impact factor: 22.682

4.  Pay for performance and the management of hypertension.

Authors:  Rachel Foskett-Tharby; Hex Nick; Paramjit Gill
Journal:  J Transl Int Med       Date:  2016-04-14

5.  Effect of the Tool to Reduce Inappropriate Medications on Medication Communication and Deprescribing.

Authors:  Terri R Fried; Kristina M Niehoff; Richard L Street; Peter A Charpentier; Nallakkandi Rajeevan; Perry L Miller; Mary K Goldstein; John R O'Leary; Brenda T Fenton
Journal:  J Am Geriatr Soc       Date:  2017-08-14       Impact factor: 5.562

6.  Measuring What Matters in Health: Lessons from the Veterans Health Administration State of the Art Conference.

Authors:  Steven M Asch; Eve A Kerr
Journal:  J Gen Intern Med       Date:  2016-04       Impact factor: 5.128

7.  Developing and Testing an Electronic Measure of Screening Colonoscopy Overuse in a Large Integrated Healthcare System.

Authors:  Sameer D Saini; Adam A Powell; Jason A Dominitz; Deborah A Fisher; Joseph Francis; Linda Kinsinger; Kathleen S Pittman; Philip Schoenfeld; Stephanie E Moser; Sandeep Vijan; Eve A Kerr
Journal:  J Gen Intern Med       Date:  2016-04       Impact factor: 5.128

8.  Diabetes care improvement in pharmacist- versus nurse-supported patient-centered medical homes.

Authors:  Lillian Min; Christine T Cigolle; Steven J Bernstein; Kathleen Ward; Tisha L Moore; Jinkyung Ha; Caroline S Blaum
Journal:  Am J Manag Care       Date:  2017-11-01       Impact factor: 2.229

Review 9.  Pay-for-Performance and Veteran Care in the VHA and the Community: a Systematic Review.

Authors:  Karli K Kondo; Jessica Wyse; Aaron Mendelson; Gabriella Beard; Michele Freeman; Allison Low; Devan Kansagara
Journal:  J Gen Intern Med       Date:  2018-04-26       Impact factor: 5.128

10.  Current status and future prospects for electronic point-of-care clinical decision support in diabetes care.

Authors:  Patrick J O'Connor; Jay R Desai; John C Butler; Elyse O Kharbanda; JoAnn M Sperl-Hillen
Journal:  Curr Diab Rep       Date:  2013-04       Impact factor: 4.810

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