Literature DB >> 3976951

Does race affect hospital use?

P A Wilson, J R Griffith, P J Tedeschi.   

Abstract

Based on 1980 hospital discharges in areas in the State of Michigan, with substantial Black populations, Blacks use approximately 50 per cent more hospital care than Whites, but about half this difference is associated with use in specific communities which affects both White and Black use. Black use is not associated with community size, per cent of Blacks, or available beds and doctors. After controlling for mortality and socioeconomic status, a small statistically non-significant difference in race-specific use remains for 23 Michigan communities. The elimination of race as an explainer of hospital use suggests progress in assuring equal access to hospitals, but differences in poverty, mortality, and some specifics of use remain.

Mesh:

Year:  1985        PMID: 3976951      PMCID: PMC1646169          DOI: 10.2105/ajph.75.3.263

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  6 in total

1.  Societal and individual determinants of medical care utilization in the United States.

Authors:  R Andersen; J F Newman
Journal:  Milbank Mem Fund Q Health Soc       Date:  1973

2.  The use of hospital medical records for epidemiologic research. I. Differences in hospital utilization and in-hospital mortality by age-race-sex-place of residence and socioeconomic status in a defined community population.

Authors:  F Cordle; H A Tyroler
Journal:  Med Care       Date:  1974-07       Impact factor: 2.983

3.  Small area variations in health care delivery.

Authors:  J Wennberg
Journal:  Science       Date:  1973-12-14       Impact factor: 47.728

4.  Hospital use by the aging population.

Authors:  P A Wilson
Journal:  Inquiry       Date:  1981       Impact factor: 1.730

5.  Community correlates of hospital use.

Authors:  P Wilson; P Tedeschi
Journal:  Health Serv Res       Date:  1984-08       Impact factor: 3.402

6.  Measuring community hospital service in Michigan.

Authors:  J R Griffith; J D Restuccia; P J Tedeschi; P A Wilson; H S Zuckerman
Journal:  Health Serv Res       Date:  1981       Impact factor: 3.402

  6 in total
  8 in total

1.  The demand for healthcare among racial/ethnic subpopulations.

Authors:  M P Freiman
Journal:  Health Serv Res       Date:  1998-10       Impact factor: 3.402

Review 2.  Evaluation of quality of life for diverse patient populations.

Authors:  K R Yabroff; B P Linas; K Schulman
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

3.  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

4.  Micro-area variation in hospital use.

Authors:  P J Tedeschi; R A Wolfe; J R Griffith
Journal:  Health Serv Res       Date:  1990-02       Impact factor: 3.402

5.  Patterns of surgical and nonsurgical hospital use in Michigan communities from 1980 through 1984.

Authors:  R A Wolfe; J R Griffith; L F McMahon; P J Tedeschi; G R Petroni; C G McLaughlin
Journal:  Health Serv Res       Date:  1989-04       Impact factor: 3.402

6.  Geographic variation in rates of selected surgical procedures within Los Angeles County.

Authors:  D M Carlisle; R B Valdez; M F Shapiro; R H Brook
Journal:  Health Serv Res       Date:  1995-04       Impact factor: 3.402

Review 7.  The roles of race and socioeconomic factors in health services research.

Authors:  K A Schulman; L E Rubenstein; F D Chesley; J M Eisenberg
Journal:  Health Serv Res       Date:  1995-04       Impact factor: 3.402

8.  The distance to community medical care and the likelihood of hospitalization: is closer always better?

Authors:  D C Goodman; E Fisher; T A Stukel; C Chang
Journal:  Am J Public Health       Date:  1997-07       Impact factor: 9.308

  8 in total

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