Rural Health Networks: How Network Analysis Can Inform Patient Care and Organizational Collaboration in a Rural Breast Cancer Screening Network

Beth Prusaczyk, Julia Maki, Douglas A. Luke, Rebecca Lobb

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Purpose: Rural health networks have the potential to improve health care quality and access. Despite this, the use of network analysis to study rural health networks is limited. The purpose of this study was to use network analysis to understand how a network of rural breast cancer care providers deliver services and to demonstrate the value of this methodology in this research area. Methods: Leaders at 47 Federally Qualified Health Centers and Rural Health Clinics across 10 adjacent rural counties were asked where they refer patients for mammograms or breast biopsies. These clinics and the 22 referral providers that respondents named comprised the network. The network was analyzed graphically and statistically with exponential random graph modeling. Findings: Most (96%, n = 45) of the clinics and referral sites (95%, n = 21) are connected to each other. Two clinics of the same type were 62% less likely to refer patients to the same providers as 2 clinics of different types (OR = 0.38, 95% CI = 0.29-0.50). Clinics in the same county have approximately 8 times higher odds of referring patients to the same providers compared to clinics in different counties (OR = 7.80, CI = 4.57-13.31). Conclusions: This study found that geographic location of resources is an important factor in rural health care providers’ referral decisions and demonstrated the usefulness of network analysis for understanding rural health networks. These results can be used to guide delivery of patient care and strengthen the network by building resources that take location into account.

Original languageEnglish
Pages (from-to)222-228
Number of pages7
JournalJournal of Rural Health
Volume35
Issue number2
DOIs
StatePublished - Mar 1 2019

Keywords

  • breast cancer
  • proximity
  • resources
  • rural location
  • rural networks

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