Literature DB >> 23852137

When quality indicators undermine quality: bias in a quality indicator of follow-up for alcohol misuse.

Katharine A Bradley, Laura J Chavez, Gwendolyn T Lapham, Emily C Williams, Carol E Achtmeyer, Anna D Rubinsky, Eric J Hawkins, Richard Saitz, Daniel R Kivlahan.   

Abstract

OBJECTIVE: Valid quality indicators are needed to monitor and encourage identification and management of mental health and substance use conditions (behavioral conditions). Because behavioral conditions are frequently underidentified, quality indicators often evaluate the proportion of patients who screen positive for a condition who also have appropriate follow-up care documented. However, these "positive-screen-based" quality indicators of follow-up for behavioral conditions could be biased by differences in the denominator due to differential screening quality ("denominator bias") and could reward identification of fewer patients with the behavioral conditions of interest. This study evaluated denominator bias in the performance of Veterans Health Administration (VHA) networks on a quality indicator of follow-up for alcohol misuse that used the number of patients with positive alcohol screens as the denominator.
METHODS: Two quality indicators of follow-up for alcohol misuse--a positive-screen-based quality indicator and a population-based quality indicator-were compared among 21 VHA networks by review of 219,119 medical records.
RESULTS: Results for the two quality indicators were inconsistent. For example, two networks performed similarly on the quality indicators (64.7% and 65.4% follow-up) even though one network identified and documented follow-up for almost twice as many patients (5,411 and 2,899 per 100,000 eligible, respectively). Networks that performed better on the positive-screen-based quality indicator identified fewer patients with alcohol misuse than networks that performed better on the population-based quality indicator (mean 4.1% versus 7.4%, respectively).
CONCLUSIONS: A positive-screen-based quality indicator of follow-up for alcohol misuse preferentially rewarded networks that identified fewer patients with alcohol misuse.

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Year:  2013        PMID: 23852137      PMCID: PMC3959120          DOI: 10.1176/appi.ps.201200449

Source DB:  PubMed          Journal:  Psychiatr Serv        ISSN: 1075-2730            Impact factor:   3.084


  40 in total

1.  Effect of the transformation of the Veterans Affairs Health Care System on the quality of care.

Authors:  Ashish K Jha; Jonathan B Perlin; Kenneth W Kizer; R Adams Dudley
Journal:  N Engl J Med       Date:  2003-05-29       Impact factor: 91.245

2.  Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication.

Authors:  Ronald C Kessler; Wai Tat Chiu; Olga Demler; Kathleen R Merikangas; Ellen E Walters
Journal:  Arch Gen Psychiatry       Date:  2005-06

3.  Alcohol-related advice for Veterans Affairs primary care patients: Who gets it? Who gives it?

Authors:  Marcia L Burman; Daniel Kivlahan; Mara Buchbinder; Kristine Broglio; Xiao H Zhou; Joseph O Merrill; Mary B McDonell; Stephan D Fihn; Katharine A Bradley
Journal:  J Stud Alcohol       Date:  2004-09

4.  A program of screening and prompting improves short-term physician counseling of dependent and nondependent harmful drinkers.

Authors:  D G Buchsbaum; R G Buchanan; M J Lawton; R K Elswick; S H Schnoll
Journal:  Arch Intern Med       Date:  1993-07-12

Review 5.  Behavioral counseling after screening for alcohol misuse in primary care: a systematic review and meta-analysis for the U.S. Preventive Services Task Force.

Authors:  Daniel E Jonas; James C Garbutt; Halle R Amick; Janice M Brown; Kimberly A Brownley; Carol L Council; Anthony J Viera; Tania M Wilkins; Cody J Schwartz; Emily M Richmond; John Yeatts; Tammeka Swinson Evans; Sally D Wood; Russell P Harris
Journal:  Ann Intern Med       Date:  2012-11-06       Impact factor: 25.391

6.  Physician detection of drinking problems in patients attending a general medicine practice.

Authors:  D G Buchsbaum; R G Buchanan; R M Poses; S H Schnoll; M J Lawton
Journal:  J Gen Intern Med       Date:  1992 Sep-Oct       Impact factor: 5.128

7.  Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys.

Authors:  Koen Demyttenaere; Ronny Bruffaerts; Jose Posada-Villa; Isabelle Gasquet; Viviane Kovess; Jean Pierre Lepine; Matthias C Angermeyer; Sebastian Bernert; Giovanni de Girolamo; Pierluigi Morosini; Gabriella Polidori; Takehiko Kikkawa; Norito Kawakami; Yutaka Ono; Tadashi Takeshima; Hidenori Uda; Elie G Karam; John A Fayyad; Aimee N Karam; Zeina N Mneimneh; Maria Elena Medina-Mora; Guilherme Borges; Carmen Lara; Ron de Graaf; Johan Ormel; Oye Gureje; Yucun Shen; Yueqin Huang; Mingyuan Zhang; Jordi Alonso; Josep Maria Haro; Gemma Vilagut; Evelyn J Bromet; Semyon Gluzman; Charles Webb; Ronald C Kessler; Kathleen R Merikangas; James C Anthony; Michael R Von Korff; Philip S Wang; Traolach S Brugha; Sergio Aguilar-Gaxiola; Sing Lee; Steven Heeringa; Beth-Ellen Pennell; Alan M Zaslavsky; T Bedirhan Ustun; Somnath Chatterji
Journal:  JAMA       Date:  2004-06-02       Impact factor: 56.272

8.  Patient factors influencing variation in the use of preventive interventions for alcohol abuse by primary care physicians.

Authors:  R J Volk; J R Steinbauer; S B Cantor
Journal:  J Stud Alcohol       Date:  1996-03

Review 9.  Behavioral counseling interventions in primary care to reduce risky/harmful alcohol use by adults: a summary of the evidence for the U.S. Preventive Services Task Force.

Authors:  Evelyn P Whitlock; Michael R Polen; Carla A Green; Tracy Orleans; Jonathan Klein
Journal:  Ann Intern Med       Date:  2004-04-06       Impact factor: 25.391

10.  Pitfalls of converting practice guidelines into quality measures: lessons learned from a VA performance measure.

Authors:  Louise C Walter; Natalie P Davidowitz; Paul A Heineken; Kenneth E Covinsky
Journal:  JAMA       Date:  2004-05-26       Impact factor: 56.272

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  17 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

Review 2.  The Affordable Care Act: an opportunity for improving care for substance use disorders?

Authors:  Katherine E Watkins; Carrie M Farmer; David De Vries; Kimberly A Hepner
Journal:  Psychiatr Serv       Date:  2014-12-01       Impact factor: 3.084

3.  Quality of care measures for the management of unhealthy alcohol use.

Authors:  Kimberly A Hepner; Katherine E Watkins; Carrie M Farmer; Lisa Rubenstein; Eric R Pedersen; Harold Alan Pincus
Journal:  J Subst Abuse Treat       Date:  2017-01-26

4.  The prevalence of Healthcare Effectiveness Data and Information Set (HEDIS) initiation and engagement in treatment among patients with cannabis use disorders in 7 US health systems.

Authors:  Gwen T Lapham; Cynthia I Campbell; Bobbi Jo H Yarborough; Rulin C Hechter; Brian K Ahmedani; Irina V Haller; Andrea H Kline-Simon; Derek D Satre; Amy M Loree; Constance Weisner; Ingrid A Binswanger
Journal:  Subst Abus       Date:  2019-01-18       Impact factor: 3.716

5.  Comparison of provider-documented and patient-reported brief intervention for unhealthy alcohol use in VA outpatients.

Authors:  Gwen T Lapham; Anna D Rubinsky; Susan M Shortreed; Eric J Hawkins; Julie Richards; Emily C Williams; Douglas Berger; Laura J Chavez; Daniel R Kivlahan; Katharine A Bradley
Journal:  Drug Alcohol Depend       Date:  2015-05-27       Impact factor: 4.492

6.  Among patients with unhealthy alcohol use, those with HIV are less likely than those without to receive evidence-based alcohol-related care: A national VA study.

Authors:  Emily C Williams; Gwen T Lapham; Susan M Shortreed; Anna D Rubinsky; Jennifer F Bobb; Kara M Bensley; Sheryl L Catz; Julie E Richards; Katharine A Bradley
Journal:  Drug Alcohol Depend       Date:  2017-03-06       Impact factor: 4.492

7.  Receipt of alcohol-related care among patients with HCV and unhealthy alcohol use.

Authors:  Mandy D Owens; George N Ioannou; Judith L Tsui; E Jennifer Edelman; Preston A Greene; Emily C Williams
Journal:  Drug Alcohol Depend       Date:  2018-05-08       Impact factor: 4.492

8.  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

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

Authors:  Alex H S Harris; Cheng Chen; Anna D Rubinsky; Katherine J Hoggatt; Matthew Neuman; Megan E Vanneman
Journal:  J Gen Intern Med       Date:  2016-04       Impact factor: 5.128

Review 10.  Implementing Effective Substance Abuse Treatments in General Medical Settings: Mapping the Research Terrain.

Authors:  Lori J Ducharme; Redonna K Chandler; Alex H S Harris
Journal:  J Subst Abuse Treat       Date:  2015-07-08
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