Literature DB >> 10352853

Methods for analyzing health care utilization and costs.

P Diehr1, D Yanez, A Ash, M Hornbrook, D Y Lin.   

Abstract

Important questions about health care are often addressed by studying health care utilization. Utilization data have several characteristics that make them a challenge to analyze. In this paper we discuss sources of information, the statistical properties of utilization data, common analytic methods including the two-part model, and some newly available statistical methods including the generalized linear model. We also address issues of study design and new methods for dealing with censored data. Examples are presented.

Mesh:

Year:  1999        PMID: 10352853     DOI: 10.1146/annurev.publhealth.20.1.125

Source DB:  PubMed          Journal:  Annu Rev Public Health        ISSN: 0163-7525            Impact factor:   21.981


  162 in total

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Authors:  S Ryan Greysen; Irena Stijacic Cenzer; W John Boscardin; Kenneth E Covinsky
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Review 5.  Evidence from cost-effectiveness research.

Authors:  Katia Noyes; Robert G Holloway
Journal:  NeuroRx       Date:  2004-07

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Authors:  Michael R Polen; Donald K Freeborn; Frances L Lynch; John P Mullooly; Daniel M Dickinson
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7.  The effect of substance abuse treatment on Medicaid expenditures among general assistance welfare clients in Washington state.

Authors:  Thomas M Wickizer; Antoinette Krupski; Kenneth D Stark; David Mancuso; Kevin Campbell
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8.  Accuracy of prehospital transport time estimation.

Authors:  David J Wallace; Jeremy M Kahn; Derek C Angus; Christian Martin-Gill; Clifton W Callaway; Thomas D Rea; Jagpreet Chhatwal; Kristen Kurland; Christopher W Seymour
Journal:  Acad Emerg Med       Date:  2014-01       Impact factor: 3.451

9.  The effect of HMOs on the inpatient utilization of medicare beneficiaries.

Authors:  Nasreen Dhanani; June F O'Leary; Emmett Keeler; Anil Bamezai; Glenn Melnick
Journal:  Health Serv Res       Date:  2004-10       Impact factor: 3.402

10.  Medical expenditures associated with major depressive disorder among privately insured working-age adults with diagnosed diabetes in the United States, 2008.

Authors:  Sundar S Shrestha; Ping Zhang; Rui Li; Theodore J Thompson; Daniel P Chapman; Lawrence Barker
Journal:  Diabetes Res Clin Pract       Date:  2013-03-13       Impact factor: 5.602

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