Literature DB >> 26951270

Are Improvements in Measured Performance Driven by Better Treatment or "Denominator Management"?

Alex H S Harris1, Cheng Chen2, Anna D Rubinsky2, Katherine J Hoggatt3, Matthew Neuman2, Megan E Vanneman2,4.   

Abstract

BACKGROUND: Process measures of healthcare quality are usually formulated as the number of patients who receive evidence-based treatment (numerator) divided by the number of patients in the target population (denominator). When the systems being evaluated can influence which patients are included in the denominator, it is reasonable to wonder if improvements in measured quality are driven by expanding numerators or contracting denominators.
OBJECTIVE: In 2003, the US Department of Veteran Affairs (VA) based executive compensation in part on performance on a substance use disorder (SUD) continuity-of-care quality measure. The first goal of this study was to evaluate if implementing the measure in this way resulted in expected improvements in measured performance. The second goal was to examine if the proportion of patients with SUD who qualified for the denominator contracted after the quality measure was implemented, and to describe the facility-level variation in and correlates of denominator contraction or expansion.
DESIGN: Using 40 quarters of data straddling the implementation of the performance measure, an interrupted time series design was used to evaluate changes in two outcomes. PARTICIPANTS: All veterans with an SUD diagnosis in all VA facilities from fiscal year 2000 to 2009. MAIN MEASURES: The two outcomes were 1) measured performance-patients retained/patients qualified and 2) denominator prevalence-patients qualified/patients with SUD program contact. KEY
RESULTS: Measured performance improved over time (P < 0.001). Notably, the proportion of patients with SUD program contact who qualified for the denominator decreased more rapidly after the measure was implemented (p = 0.02). Facilities with higher pre-implementation denominator prevalence had steeper declines in denominator prevalence after implementation (p < 0.001).
CONCLUSIONS: These results should motivate the development of measures that are less vulnerable to denominator management, and also the exploration of "shadow measures" to monitor and reduce undesirable denominator management.

Entities:  

Keywords:  measurement reactivity; performance contracts; quality measurement

Mesh:

Year:  2016        PMID: 26951270      PMCID: PMC4803672          DOI: 10.1007/s11606-015-3558-1

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  16 in total

1.  Evidence-based performance measures: preventing unintended consequences of quality measurement.

Authors:  David W Baker; Amir Qaseem
Journal:  Ann Intern Med       Date:  2011-11-01       Impact factor: 25.391

2.  Possible Alternatives to Diagnosis-Based Denominators for Addiction Treatment Quality Measures.

Authors:  Alex H S Harris; Anna D Rubinsky; Katherine J Hoggatt
Journal:  J Subst Abuse Treat       Date:  2015-06-19

Review 3.  Quality assessment by external bodies: intended and unintended impact on healthcare delivery.

Authors:  Loren Riskin; Jason A Campagna
Journal:  Curr Opin Anaesthesiol       Date:  2009-04       Impact factor: 2.706

4.  6 EZ steps to improving your performance: (or how to make P4P pay 4U!).

Authors:  Rodney A Hayward; David M Kent
Journal:  JAMA       Date:  2008-07-16       Impact factor: 56.272

5.  Public reporting of antibiotic timing in patients with pneumonia: lessons from a flawed performance measure.

Authors:  Robert M Wachter; Scott A Flanders; Christopher Fee; Peter J Pronovost
Journal:  Ann Intern Med       Date:  2008-07-01       Impact factor: 25.391

6.  Racial profiling: the unintended consequences of coronary artery bypass graft report cards.

Authors:  Rachel M Werner; David A Asch; Daniel Polsky
Journal:  Circulation       Date:  2005-03-15       Impact factor: 29.690

7.  The Veterans Health Administration: quality, value, accountability, and information as transforming strategies for patient-centered care.

Authors:  Jonathan B Perlin; Robert M Kolodner; Robert H Roswell
Journal:  Am J Manag Care       Date:  2004-11       Impact factor: 2.229

8.  Potential unintended financial consequences of pay-for-performance on the quality of care for minority patients.

Authors:  Amrita M Karve; Fang-Shu Ou; Barbara L Lytle; Eric D Peterson
Journal:  Am Heart J       Date:  2008-03       Impact factor: 4.749

9.  Measuring the quality of substance use disorder treatment: evaluating the validity of the Department of Veterans Affairs continuity of care performance measure.

Authors:  Alex H S Harris; Keith Humphreys; Thomas Bowe; Daniel R Kivlahan; John W Finney
Journal:  J Subst Abuse Treat       Date:  2008-10-05

10.  Performance monitoring of substance use disorder interventions in the Veterans Health Administration.

Authors:  Keith Humphreys; Alex H S Harris; Daniel R Kivlahan
Journal:  Am J Drug Alcohol Abuse       Date:  2009       Impact factor: 3.829

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  6 in total

1.  Assessing the postdeployment quality of treatment for substance use disorders among Army enlisted soldiers in the Military Health System.

Authors:  Rachel Sayko Adams; Deborah W Garnick; Alex H S Harris; Elizabeth L Merrick; Keith Hofmann; Wendy Funk; Thomas V Williams; Mary Jo Larson
Journal:  J Subst Abuse Treat       Date:  2020-05-07

2.  The Next Generation of Clinical Performance Measures.

Authors:  David Atkins
Journal:  J Gen Intern Med       Date:  2016-04       Impact factor: 5.128

Review 3.  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

Review 4.  Incentivizing performance in health care: a rapid review, typology and qualitative study of unintended consequences.

Authors:  Xinyu Li; Jenna M Evans
Journal:  BMC Health Serv Res       Date:  2022-05-23       Impact factor: 2.908

5.  Facility-level changes in receipt of pharmacotherapy for opioid use disorder: Implications for implementation science.

Authors:  Andrea K Finlay; Ingrid A Binswanger; Christine Timko; David Smelson; Matthew A Stimmel; Mengfei Yu; Tom Bowe; Alex H S Harris
Journal:  J Subst Abuse Treat       Date:  2018-10-02

6.  Promoting Adoption of Medication for Opioid and Alcohol Use Disorders Through System Change.

Authors:  James H Ford; Amanda J Abraham; Nicoleta Lupulescu-Mann; Raina Croff; Kim A Hoffman; Kelly Alanis-Hirsch; Mady Chalk; Laura Schmidt; Dennis McCarty
Journal:  J Stud Alcohol Drugs       Date:  2017-09       Impact factor: 2.582

  6 in total

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