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Improving the Reliability of Physician Performance Assessment

Identifying the “Physician Effect” on Quality and Creating Composite Measures

Datos Bibliográficos

ID9100552
AutoresSherrie H Kaplan (0000-0002-8644-5849, University of California, Irvine, autor de correspondencia), James L Griffith (0000-0003-2894-7522, Tufts Medical Center), John L Griffith, Lori Lyn Price (0000-0003-0664-8978, Tufts Medical Center), L Gregory Pawlson (National Committee for Quality Assurance), Sheldon Greenfield (0000-0003-4628-1998, University of California, Irvine, autor de correspondencia)
Año2009
Volumen47
Número4
Páginas378-387
Fecha de publicación2009-04-01
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.0b013e31818dce07
PMID19279511
OpenAlexW1978954860
IdiomaEN
Citas recibidas8
Referencias citadas50

BACKGROUND: The proliferation of efforts to assess physician performance underscore the need to improve the reliability of physician-level quality measures. OBJECTIVE: Using diabetes care as a model, to address 2 key issues in creating reliable physician-level quality performance scores: estimating the physician effect on quality and creating composite measures. DESIGN: Retrospective longitudinal observational study. SUBJECTS: A national sample of physicians (n = 210) their patients with diabetes (n = 7574) participating in the National Committee on Quality Assurance-American Diabetes Association's Diabetes Provider Recognition Program. MEASURES: Using 11 diabetes process and intermediate outcome quality measures abstracted from the medical records of participants, we tested each measure for the magnitude of physician-level variation (the physician effect or "thumbprint"). We then combined measures with a substantial physician effect into a composite, physician-level diabetes quality score and tested its reliability. RESULTS: We identified the lowest target values for each outcome measure for which there was a recognizable "physician thumbprint" (ie, intraclass correlation coefficient > or =0.30) to create a composite performance score. The internal consistency reliability (Cronbach's alpha) of the composite score, created by combining the process and outcome measures with an intraclass correlation coefficient > or =0.30, exceeded 0.80. The standard errors of the composite case-mix adjusted score were sufficiently small to discriminate those physicians scoring in the highest from those scoring in the lowest quartiles of the quality of care distribution with no overlap. CONCLUSIONS: We conclude that the aggregation of well-tested quality measures that maximize the "physician effect" into a composite measure yields reliable physician-level quality of care scores for patients with diabetes

Cronbach's alpha · Family medicine · Intraclass correlation · Medical record · Observational study · Operations management · Psychometrics · Quality (philosophy) · Quality management · Quality Score · Quartile · Reliability (semiconductor) · Clinical Psychology · Healthcare Policy and Management · Internal Medicine · Medicine · Patient Satisfaction in Healthcare · Primary Care and Health Outcomes

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Obras citantes distintas8
Citas por año0,47
Intervalo de citas2009 - 2016 (8)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 7
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