Literature DB >> 9878643

Geographic variations in utilization rates in Veterans Affairs hospitals and clinics.

C M Ashton1, N J Petersen, J Souchek, T J Menke, H J Yu, K Pietz, M L Eigenbrodt, G Barbour, K W Kizer, N P Wray.   

Abstract

BACKGROUND: In the United States, geographic variation in hospital use is common. It is uncertain whether there are similar geographic variations in the health care system of the Department of Veterans Affairs (VA), which differs from the private sector because it predominantly serves men with annual incomes below $20,000, has a central system of administration, and uses salaried physicians. Thus, it might be less likely to have geographic variations.
METHODS: We used VA data bases to obtain information on patients treated for eight diseases (chronic obstructive pulmonary disease, pneumonia, congestive heart failure, angina, diabetes, chronic renal failure, bipolar disorder, and major depression). We analyzed their use of hospital and outpatient services by assessing the risk-adjusted numbers of hospital days (the average number of days a patient spent in the hospital per 12 months of follow-up, regardless of the number of hospital stays), hospital-discharge rates, and clinic-visit rates from 1991 through 1995 for the entire system and within the 22 geographically based health care networks.
RESULTS: We found substantial geographic variation in hospital use for all eight cohorts of patients and all the years studied. Variations in the numbers of hospital days per person-year among the networks were greatest among patients with chronic obstructive pulmonary disease (ranging from a factor of 2.7 to a factor of 3.1) during a given year and smallest among patients with angina (ranging from a factor of 1.5 to a factor of 2.1). Levels of hospital use were highest in the Northeast and lowest in the West. The variation in the rates of clinic visits for principal medical care among the networks ranged from a factor of approximately 1.6 to a factor of 4.0; variations in the rates were greatest among patients with chronic renal failure and smallest among patients with chronic obstructive pulmonary disease. There was no clear geographic pattern in the rates of outpatient-clinic use.
CONCLUSIONS: There are significant geographic variations in the use of hospital and outpatient services in the VA health care system. Because VA physicians are unable to increase their income by changing their patterns of practice, our findings suggest that their practice styles are similar to those of other physicians in their geographic regions.

Entities:  

Mesh:

Year:  1999        PMID: 9878643     DOI: 10.1056/NEJM199901073400106

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  53 in total

1.  Geographic variation in neuroimaging.

Authors:  D Seidenwurm
Journal:  AJNR Am J Neuroradiol       Date:  2001-10       Impact factor: 3.825

2.  Use trends and geographic variation in neuroimaging: nationwide medicare data for 1993 and 1998.

Authors:  V M Rao; L Parker; D C Levin; J Sunshine; G Bushee
Journal:  AJNR Am J Neuroradiol       Date:  2001-10       Impact factor: 3.825

3.  Whom should we profile? Examining diabetes care practice variation among primary care providers, provider groups, and health care facilities.

Authors:  Sarah L Krein; Timothy P Hofer; Eve A Kerr; Rodney A Hayward
Journal:  Health Serv Res       Date:  2002-10       Impact factor: 3.402

4.  Racial variation in tumor stage at diagnosis among Department of Defense beneficiaries.

Authors:  Lindsey Enewold; Jing Zhou; Katherine A McGlynn; Susan S Devesa; Craig D Shriver; John F Potter; Shelia H Zahm; Kangmin Zhu
Journal:  Cancer       Date:  2011-08-11       Impact factor: 6.860

5.  Understanding the Provision of Assistive Mobility and Daily Living Devices and Service Delivery to Veterans After Stroke.

Authors:  John A Kairalla; Sandra L Winkler; Hua Feng
Journal:  Am J Occup Ther       Date:  2016 Jan-Feb

6.  Does system reform reduce geographic variation in mental health system performance.

Authors:  Greg A Greenberg; Robert A Rosenheck
Journal:  Psychiatr Q       Date:  2005

7.  Analysis of racial differences in hospital stays in the presence of geographic confounding.

Authors:  Melanie L Davis; Brian Neelon; Paul J Nietert; Lane F Burgette; Kelly J Hunt; Andrew B Lawson; Leonard E Egede
Journal:  Spat Spatiotemporal Epidemiol       Date:  2019-07-05

8.  Length of ICU stay for chronic obstructive pulmonary disease varies among large community hospitals.

Authors:  Sean P Keenan; Peter Dodek; Keith Chan; Robert S Hogg; Kevin J P Craib; Aslam H Anis; John J Spinelli
Journal:  Intensive Care Med       Date:  2003-03-15       Impact factor: 17.440

9.  Variation in hospital length of stay: do physicians adapt their length of stay decisions to what is usual in the hospital where they work?

Authors:  Judith D de Jong; Gert P Westert; Ronald Lagoe; Peter P Groenewegen
Journal:  Health Serv Res       Date:  2006-04       Impact factor: 3.402

10.  What explains the diffusion of treatments for mental illness?

Authors:  Robert Drake; Jonathan Skinner; Howard H Goldman
Journal:  Am J Psychiatry       Date:  2008-11       Impact factor: 18.112

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.