Literature DB >> 7953215

Measuring quality of care: fundamental information from administrative datasets.

D W Garnick1, A M Hendricks, C B Comstock.   

Abstract

Under proposals for national health insurance reform in the USA, employers and purchasing cooperatives will have to measure the quality of health care services. Their need for data systems upon which to base their decisions has stimulated dramatic innovation and rapid change in how health care information is collected, integrated from multiple sources, and reported. To make administrative data useful for quality measurement, careful attention must be given to information about: medical care utilization; patient characteristics; provider characteristics; and health plans. In this paper, we describe the extent to which this information is included in existing administrative datasets. We then suggest how planned datasets should be designed so they can be used to assess the quality of health care.

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Year:  1994        PMID: 7953215     DOI: 10.1093/intqhc/6.2.163

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  7 in total

Review 1.  Can administrative claim file review be used to gather physical therapy, occupational therapy, and psychology payment data and functional independence measure scores? Implications for rehabilitation providers in the private health sector.

Authors:  Viivi Riis; Susan Jaglal; Kathryn Boschen; Jan Walker; Molly Verrier
Journal:  Physiother Can       Date:  2011-08-10       Impact factor: 1.037

Review 2.  Using administrative data for longitudinal substance abuse research.

Authors:  Elizabeth Evans; Christine E Grella; Debra A Murphy; Yih-Ing Hser
Journal:  J Behav Health Serv Res       Date:  2008-08-05       Impact factor: 1.505

3.  Private sector coverage of people with dual diagnoses.

Authors:  D W Garnick; A M Hendricks; M Drainoni; C M Horgan; C Comstock
Journal:  J Ment Health Adm       Date:  1996

4.  Identifying physician-recognized depression from administrative data: consequences for quality measurement.

Authors:  Claire M Spettell; Terry C Wall; Jeroan Allison; Jaimee Calhoun; Richard Kobylinski; Rachel Fargason; Catarina I Kiefe
Journal:  Health Serv Res       Date:  2003-08       Impact factor: 3.402

5.  Measuring hospital mortality rates: are 30-day data enough? Ischemic Heart Disease Patient Outcomes Research Team.

Authors:  D W Garnick; E R DeLong; H S Luft
Journal:  Health Serv Res       Date:  1995-02       Impact factor: 3.402

6.  Underutilization of BRCA1/2 testing to guide breast cancer treatment: black and Hispanic women particularly at risk.

Authors:  Douglas E Levy; Stacey D Byfield; Catherine B Comstock; Judy E Garber; Sapna Syngal; William H Crown; Alexandra E Shields
Journal:  Genet Med       Date:  2011-04       Impact factor: 8.822

7.  Impact of major video-assisted thoracoscopic surgery on care quality.

Authors:  Florencio Quero Valenzuela; Inmaculada Piedra Fernández; Maria Del Carmen Martínez Cirre; Abel Sánchez-Palencia; Antonio Cueto Ladrón de Guevara
Journal:  J Thorac Dis       Date:  2017-11       Impact factor: 2.895

  7 in total

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