Literature DB >> 2725083

Small-area variation in hospital discharge rates. Do socioeconomic variables matter?

C G McLaughlin1, D P Normolle, R A Wolfe, L F McMahon, J R Griffith.   

Abstract

Although numerous studies have been made of the determinants of small-area variation in hospital discharge rates, there is still disagreement about the role of socioeconomic factors. The lack of consensus stems, in part, from the difficulty in comparing results across studies that use different units and methods of analysis. Many of the studies using well-defined hospital service areas did not have the data needed to conduct a controlled analysis of the determinants of hospital utilization. Most of the studies that have performed controlled analyses have relied on larger geopolitical areas, which are not believed to capture self-contained health care systems. The study described here used a consistent set of data, three methods of analysis, and two units of analysis to test the importance of socioeconomic characteristics in explaining the variation in medical and surgical discharge rates in Michigan. Socioeconomic factors are found to be statistically significant determinants of the variation in both medical and surgical discharge rates, whether the method of analysis is simple correlations or multiple regressions, and whether the unit of analysis is the county or a well-designed hospital service area. These results suggest that previous small-area variation studies may have incorrectly concluded that socioeconomic characteristics do not explain differences in utilization rates.

Mesh:

Year:  1989        PMID: 2725083     DOI: 10.1097/00005650-198905000-00006

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


  17 in total

1.  Trends and variations in perinatal mortality and low birthweight: the contribution of socio-economic factors.

Authors:  I N Luginaah; K S Lee; T J Abernathy; D Sheehan; G Webster
Journal:  Can J Public Health       Date:  1999 Nov-Dec

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Authors:  V Koehn; F Paccaud
Journal:  Soz Praventivmed       Date:  1996

4.  Small-area variations: what are they and what do they mean? Health Services Research Group.

Authors: 
Journal:  CMAJ       Date:  1992-02-15       Impact factor: 8.262

5.  The impact of smoke-free laws on asthma discharges: a multistate analysis.

Authors:  Glenn Landers
Journal:  Am J Public Health       Date:  2013-12-12       Impact factor: 9.308

6.  Use of community versus individual socioeconomic data in predicting variation in hospital use.

Authors:  T P Hofer; R A Wolfe; P J Tedeschi; L F McMahon; J R Griffith
Journal:  Health Serv Res       Date:  1998-06       Impact factor: 3.402

7.  Geographical variations in rates of ophthalmic surgery.

Authors:  H S Jones; J M Yates; P Spurgeon; A R Fielder
Journal:  Br J Ophthalmol       Date:  1996-09       Impact factor: 4.638

8.  Private health care in Canada: savior or siren?

Authors:  C A DeCoster; M D Brownell
Journal:  Public Health Rep       Date:  1997 Jul-Aug       Impact factor: 2.792

9.  Continuous Home Care Reduces Hospice Disenrollment and Hospitalization After Hospice Enrollment.

Authors:  Shi-Yi Wang; Melissa D Aldridge; Maureen Canavan; Emily Cherlin; Elizabeth Bradley
Journal:  J Pain Symptom Manage       Date:  2016-09-30       Impact factor: 3.612

10.  Racial, ethnic, and affluence differences in elderly patients' use of teaching hospitals.

Authors:  Theodore J Iwashyna; Farr A Curlin; Nicholas A Christakis
Journal:  J Gen Intern Med       Date:  2002-09       Impact factor: 5.128

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