Literature DB >> 6503399

Regional differences in hospital utilization. How much can be traced to population differences?

J R Knickman, A M Foltz.   

Abstract

Regional differences in hospital utilization are quite substantial, especially between the East Coast and West Coast. To determine whether or not differences in the socioeconomic composition of regional populations explain observed regional differences in hospital utilization, the authors assessed patterns of utilization for a sample of 18,660 New York City residents, 18,881 Los Angeles residents, 10,921 persons living in Northeastern Standard Metropolitan Statistical Areas (SMSAs) and 13,475 persons living in Western SMSAs. The results showed that the New York-Los Angeles difference in hospital days of care decreased from 43% to 22% after adjusting for differences in seven distinct socioeconomic characteristics of the two populations. The Northeastern-Western difference decreased from 18% to -6% (i.e., the Western rate exceeded the Eastern rate after adjustment). Adjusting for differences in socioeconomic characteristics of the local populations affected regional differences in admission rates more than differences in lengths of stay. In the case of New York City, the study also showed that the presence of an unusual number of very long hospital episodes (51 or more days) also is an important explanation of New York's high average stay. The difficulty of identifying posthospital placements for patients needing extended care is thought to cause these long stays in New York City.

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Year:  1984        PMID: 6503399     DOI: 10.1097/00005650-198411000-00001

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


  8 in total

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Authors:  S P Tsai; C M Dowd; S R Cowles; C E Ross
Journal:  Br J Ind Med       Date:  1992-07

2.  The extremal quotient in small-area variation analysis.

Authors:  V A Kazandjian; P W Durance; M A Schork
Journal:  Health Serv Res       Date:  1989-12       Impact factor: 3.402

3.  What is too much variation? The null hypothesis in small-area analysis.

Authors:  P Diehr; K Cain; F Connell; E Volinn
Journal:  Health Serv Res       Date:  1990-02       Impact factor: 3.402

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Authors:  J G Brecht; A Jenke
Journal:  Soz Praventivmed       Date:  1989

5.  Alternatives to DRGs: research issues.

Authors:  C Siegel; M J Alexander; A B Goodman
Journal:  Psychiatr Q       Date:  1985 Fall-Winter

6.  Regional variation in acute care length of stay after orthopaedic surgery total joint replacement surgery and hip fracture surgery.

Authors:  John D Fitzgerald; Haoling H Weng; Nelson F Soohoo; Susan L Ettner
Journal:  J Hosp Adm       Date:  2013

7.  Hospital service areas -- a new tool for health care planning in Switzerland.

Authors:  Gunnar Klauss; Lukas Staub; Marcel Widmer; André Busato
Journal:  BMC Health Serv Res       Date:  2005-05-09       Impact factor: 2.655

8.  Regional variation in healthcare usage for Medicare beneficiaries: a cross-sectional study based on the health and retirement study.

Authors:  Dian Luo
Journal:  BMJ Open       Date:  2022-08-26       Impact factor: 3.006

  8 in total

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