Literature DB >> 21478780

Expanding the uses of AHRQ's prevention quality indicators: validity from the clinician perspective.

Sheryl Davies1, Kathryn M McDonald, Eric Schmidt, Ellen Schultz, Jeffrey Geppert, Patrick S Romano.   

Abstract

BACKGROUND: The Agency for Healthcare Research and Quality's prevention quality indicators (PQIs) are used as a metric of area-level access to quality care. Recently, interest has expanded to using the measures at the level of payer or large physician groups, including public reporting or pay-for-performance programs. However, the validity of these expanded applications is unknown. RESEARCH
DESIGN: We conducted a novel panel process to establish face validity of the 12 PQIs at 3 denominator levels: geographic area, payer, and large physician groups; and 3 uses: quality improvement, comparative reporting, and pay for performance. Sixty-four clinician panelists were split into Delphi and Nominal Groups. We aimed to capitalize on the reliability of the Delphi method and information sharing in the Nominal group method by applying these techniques simultaneously. We examined panelists' perceived usefulness of the indicators for specific uses using median scores and agreement within and between groups.
RESULTS: Panelists showed stronger support of the usefulness of chronic disease indicators at the payer and large physician group levels than for acute disease indicators. Panelists fully supported the usefulness of 2 indicators for comparative reporting (asthma, congestive heart failure) and no indicators for pay-for-performance applications. Panelists expressed serious concerns about the usefulness of all new applications of 3 indicators (angina, perforated appendix, dehydration). Panelists rated age, current comorbidities, earlier hospitalization, and socioeconomic status as the most important risk-adjustment factors.
CONCLUSIONS: Clinicians supported some expanded uses of the PQIs, but generally expressed reservations. Attention to denominator definitions and risk adjustment are essential for expanded use.

Entities:  

Mesh:

Year:  2011        PMID: 21478780     DOI: 10.1097/MLR.0b013e3182159e65

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  17 in total

1.  Patient-Sharing Networks of Physicians and Health Care Utilization and Spending Among Medicare Beneficiaries.

Authors:  Bruce E Landon; Nancy L Keating; Jukka-Pekka Onnela; Alan M Zaslavsky; Nicholas A Christakis; A James O'Malley
Journal:  JAMA Intern Med       Date:  2018-01-01       Impact factor: 21.873

2.  Preventable readmissions within 30 days of ischemic stroke among Medicare beneficiaries.

Authors:  Judith H Lichtman; Erica C Leifheit-Limson; Sara B Jones; Yun Wang; Larry B Goldstein
Journal:  Stroke       Date:  2013-10-30       Impact factor: 7.914

3.  Impact of Disease Prevalence Adjustment on Hospitalization Rates for Chronic Ambulatory Care-Sensitive Conditions in Germany.

Authors:  Johannes Pollmanns; Patrick S Romano; Maria Weyermann; Max Geraedts; Saskia E Drösler
Journal:  Health Serv Res       Date:  2017-03-22       Impact factor: 3.402

4.  Development and Validation of the Agency for Healthcare Research and Quality Measures of Potentially Preventable Emergency Department (ED) Visits: The ED Prevention Quality Indicators for General Health Conditions.

Authors:  Sheryl Davies; Ellen Schultz; Maria Raven; Nancy Ewen Wang; Carol L Stocks; Mucio Kit Delgado; Kathryn M McDonald
Journal:  Health Serv Res       Date:  2017-03-30       Impact factor: 3.402

5.  Changes in Hospital Inpatient Utilization Following Health Care Reform.

Authors:  Gary Pickens; Zeynal Karaca; Eli Cutler; Michael Dworsky; Christine Eibner; Brian Moore; Teresa Gibson; Sharat Iyer; Herbert S Wong
Journal:  Health Serv Res       Date:  2017-06-30       Impact factor: 3.402

6.  Estimating burden and disease costs of exposure to endocrine-disrupting chemicals in the European union.

Authors:  Leonardo Trasande; R Thomas Zoeller; Ulla Hass; Andreas Kortenkamp; Philippe Grandjean; John Peterson Myers; Joseph DiGangi; Martine Bellanger; Russ Hauser; Juliette Legler; Niels E Skakkebaek; Jerrold J Heindel
Journal:  J Clin Endocrinol Metab       Date:  2015-03-05       Impact factor: 5.958

7.  Potentially Preventable Medical Hospitalizations and Emergency Department Visits by the Behavioral Health Population.

Authors:  Eric M Schmidt; Simone Behar; Alinne Barrera; Matthew Cordova; Leonard Beckum
Journal:  J Behav Health Serv Res       Date:  2018-07       Impact factor: 1.505

8.  Primary care team communication networks, team climate, quality of care, and medical costs for patients with diabetes: A cross-sectional study.

Authors:  Marlon P Mundt; Filip Agneessens; Wen-Jan Tuan; Larissa I Zakletskaia; Sandra A Kamnetz; Valerie J Gilchrist
Journal:  Int J Nurs Stud       Date:  2016-02-08       Impact factor: 5.837

9.  Preventable Admissions on a General Medicine Service: Prevalence, Causes and Comparison with AHRQ Prevention Quality Indicators-A Cross-Sectional Analysis.

Authors:  Krishna K Patel; Nirav Vakharia; James Pile; Erik H Howell; Michael B Rothberg
Journal:  J Gen Intern Med       Date:  2016-02-18       Impact factor: 5.128

10.  Higher practice intensity is associated with higher quality of care but more avoidable admissions for medicare beneficiaries.

Authors:  Bruce E Landon; A James O'Malley; M Richard McKellar; Jack Hadley; James D Reschovsky
Journal:  J Gen Intern Med       Date:  2014-04-17       Impact factor: 5.128

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