Literature DB >> 25219792

Rural health care bypass behavior: how community and spatial characteristics affect primary health care selection.

Scott R Sanders1, Lance D Erickson, Vaughn R A Call, Matthew L McKnight, Dawson W Hedges.   

Abstract

PURPOSE: (1) To assess the prevalence of rural primary care physician (PCP) bypass, a behavior in which residents travel farther than necessary to obtain health care, (2) To examine the role of community and non-health-care-related characteristics on bypass behavior, and (3) To analyze spatial bypass patterns to determine which rural communities are most affected by bypass.
METHODS: Data came from the Montana Health Matters survey, which gathered self-reported information from Montana residents on their health care utilization, satisfaction with health care services, and community and demographic characteristics. Logistic regression and spatial analysis were used to examine the probability and spatial patterns of bypass.
RESULTS: Overall, 39% of respondents bypass local health care. Similar to previous studies, dissatisfaction with local health care was found to increase the likelihood of bypass. Dissatisfaction with local shopping also increases the likelihood of bypass, while the number of friends in a community, and commonality with community reduce the likelihood of bypass. Other significant factors associated with bypass include age, income, health, and living in a highly rural community or one with high commuting flows.
CONCLUSIONS: Our results suggest that outshopping theory, in which patients bundle services and shopping for added convenience, extends to primary health care selection. This implies that rural health care selection is multifaceted, and that in addition to perceived satisfaction with local health care, the quality of local shopping and levels of community attachment also influence bypass behavior.
© 2014 National Rural Health Association.

Entities:  

Keywords:  access to care; health services research; rural health; satisfaction with care; utilization of health services

Mesh:

Year:  2014        PMID: 25219792     DOI: 10.1111/jrh.12093

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


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