Literature DB >> 19566611

Practical and policy implications of using different rural-urban classification systems: a case study of inpatient service utilization among Veterans Administration users.

Ethan M Berke1, Alan N West, Amy E Wallace, William B Weeks.   

Abstract

CONTEXT: Several classification systems exist for defining rural areas, which may lead to different interpretations of rural health services data.
PURPOSE: To compare rural classification systems on their implications for estimating Veterans Administration (VA) utilization.
METHODS: Using 7 classification systems, we counted VA health care enrollees who lived in each category, and number admitted to VA hospitals or non-VA hospitals under Medicare. For dual VA-Medicare enrollees over age 65, we compared VA and private sector hospitalizations on numbers of admissions and bed-days of care. We compared VA enrollees' relative proportions across rural to urban categories for each classification system and evaluated discordance between systems at the veterans-integrated service networks (VISN) level.
FINDINGS: Enrollment and inpatient utilization counts for rural veterans vary considerably from one classification system to another, though the systems generally agree that admission rates, length of stay, and reliance on the VA for care are lower for rural veterans. Among older dual VA and Medicare enrollees, rural residents rely on non-VA facilities more, though this effect also varies widely depending on the classification scheme. VISNs vary greatly in the proportions of patients who are rural residents, and in the degree to which classification systems are discordant in designating patients as rural.
CONCLUSIONS: Decisions about allocating VA health care resources to target "rural" patients may be affected greatly by the rural classification system chosen, and the impact of this choice will affect some hospital networks much more than others.

Entities:  

Mesh:

Year:  2009        PMID: 19566611     DOI: 10.1111/j.1748-0361.2009.00228.x

Source DB:  PubMed          Journal:  J Rural Health        ISSN: 0890-765X            Impact factor:   4.333


  8 in total

Review 1.  Comparing VA and Non-VA Quality of Care: A Systematic Review.

Authors:  Claire O'Hanlon; Christina Huang; Elizabeth Sloss; Rebecca Anhang Price; Peter Hussey; Carrie Farmer; Courtney Gidengil
Journal:  J Gen Intern Med       Date:  2016-07-15       Impact factor: 5.128

2.  Contribution of patient, physician, and environmental factors to demographic and health variation in colonoscopy follow-up for abnormal colorectal cancer screening test results.

Authors:  Melissa R Partin; Amy A Gravely; James F Burgess; David A Haggstrom; Sarah E Lillie; David B Nelson; Sean M Nugent; Aasma Shaukat; Shahnaz Sultan; Louise C Walter; Diana J Burgess
Journal:  Cancer       Date:  2017-05-11       Impact factor: 6.860

3.  Service utilization of veterans dually eligible for VA and Medicare fee-for-service: 1999-2004.

Authors:  Jennifer Humensky; Henry Carretta; Kristin de Groot; Melissa M Brown; Elizabeth Tarlov; Denise M Hynes
Journal:  Medicare Medicaid Res Rev       Date:  2012-10-19

4.  PTSD Treatment-Seeking Among Rural Latino Combat Veterans: A Review of the Literature.

Authors:  Michael R Duke; Roland S Moore; Genevieve M Ames
Journal:  J Rural Soc Sci       Date:  2011

5.  Screening and Follow-Up Monitoring for Substance Use in Primary Care: An Exploration of Rural-Urban Variations.

Authors:  Ya-Fen Chan; Shou-En Lu; Bill Howe; Hendrik Tieben; Theresa Hoeft; Jürgen Unützer
Journal:  J Gen Intern Med       Date:  2015-08-13       Impact factor: 5.128

6.  Mortality outcomes and inequities experienced by rural Māori in Aotearoa New Zealand.

Authors:  Sue Crengle; Gabrielle Davie; Jesse Whitehead; Brandon de Graaf; Ross Lawrenson; Garry Nixon
Journal:  Lancet Reg Health West Pac       Date:  2022-08-18

7.  Computing travel time when the exact address is unknown: a comparison of point and polygon ZIP code approximation methods.

Authors:  Ethan M Berke; Xun Shi
Journal:  Int J Health Geogr       Date:  2009-04-29       Impact factor: 3.918

8.  Dual use of VA and non-VA hospitals by Veterans with multiple hospitalizations.

Authors:  Alan N West; Mary E Charlton; Mary Vaughan-Sarrazin
Journal:  BMC Health Serv Res       Date:  2015-09-29       Impact factor: 2.655

  8 in total

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