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Did Hedis Get it Right? Evaluating the Quality of a Quality Measure

Adherence to β-Blockers and Cardiovascular Outcomes After Myocardial Infarction

Datos Bibliográficos

ID9099656
AutoresGabriel Sanfélix-Gimeno, Gabriel Sanfélix‐Gimeno (0000-0001-7098-4576, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana, autor de correspondencia), Jessica M Franklin (0000-0002-8941-4116, Brigham and Women's Hospital, autor de correspondencia), William H Shrank (Brigham and Women's Hospital, autor de correspondencia), Maria Carlo, Maria I Carlo (0000-0002-4786-7408, Brigham and Women's Hospital, autor de correspondencia), Angela Y Tong, Angela Tong (0000-0002-4733-3414, Pharmac, autor de correspondencia), Lonny Reisman (Aetna (United States)), Olga S Matlin (CVS Health (United States)), Troyen A Brennan (CVS Health (United States)), Niteesh K Choudhry (0000-0001-7719-2248, Brigham and Women's Hospital, autor de correspondencia)
Año2014
Volumen52
Número7
Páginas669-676
Fecha de publicación2014-07-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000148
PMID24926716
OpenAlexW2013780006
IdiomaEN
Referencias citadas21

BACKGROUND: As an example of the process that could be used to evaluate and optimize the performance of quality measures in routine practice, we evaluated whether the Healthcare Effectiveness Data and Information Set (HEDIS) measure assessing the "persistence of β-blocker treatment after a heart attack" correlates with post-myocardial infarction (MI) outcomes and whether or not there are alternative specifications of this construct which are better predictors and/or may be more easily applied. RESEARCH DESIGN: The study included a retrospective cohort of 8672 post-MI patients 18 years old and above. We assessed the strength of the association between the different adherence measures and the composite clinical outcome using multivariable Cox models. We compared the predictive capacity of each adherence definition model to one that did not contain adherence by computing the change in C-statistics and the continuous net reclassification improvement indices (NRIs). RESULTS: Adherence was associated with clinical outcome reductions, with hazard ratios ranging from 0.48 (95% CI, 0.27-0.85) to 0.81 (95% CI, 0.67-0.99). None of the adherence measures, including the HEDIS definition, significantly changed the C-statistic relative to a model that did not include adherence. However, the short-term adherence measure (having 72 d covered during the first 90 d postdischarge) showed a large change in NRI (correctly reclassifying 12% of cases and 16% of noncases; NRI: 28%; 95% CI, 22%-38%), although did not significantly differ from the change in NRI with the HEDIS measure. CONCLUSIONS: We identified an adherence measure that showed a predictive ability as good as that of the HEDIS definition to measure β-blocker use after MI, halving the time of assessment required, and thus, allowing for the implementation of quality improvement interventions in a more timely manner

Cohort · Confidence interval · Hazard ratio · Proportional hazards model · Retrospective cohort study · Statistic · Statistics · Atrial Fibrillation Management and Outcomes · Emergency Medicine · Heart Failure Treatment and Management · Internal Medicine · Medication Adherence and Compliance · Medicine

  • Global Burden of Cardiovascular Diseases

    Semir Yusuf, Salim Yusuf et al.•Circulation•2001

  • Assessing the Performance of Prediction Models

    Ewout W Steyerberg, Andrew J Vickers et al.•Epidemiology•2010

  • The meaning and use of the area under a receiver operating characteristic (ROC) curve.

    J A Hanley, Barbara J Mcneil•Radiology•1982

  • Process of Care Performance Measures and Long-Term Outcomes in Patients Hospitalized With Heart Failure

    Mark E Patterson, Adrian F Hernandez et al.•Medical Care•2010

  • Impact of Adherence to Antihypertensive Agents on Clinical Outcomes and Hospitalization Costs

    Alice Dragomir, Rochelle Côté et al.•Medical Care•2010

  • Building a Better Quality Measure

    Eve A Kerr, Dylan M Smith et al.•Medical Care•2003

  • Validity of a Prescription Claims Database to Estimate Medication Adherence in Older Persons

    Ruby Grymonpre, Mary Cheang et al.•Medical Care•2006

  • Impact of Changes in Clinical Practice Guidelines on Assessment of Quality of Care

    Grace A Lin, Rita F Redberg et al.•Medical Care•2010

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