Geographic Variation in Outpatient Health Care Service Utilization After Spinal Cord Injury

• Published in: Archives of physical medicine and rehabilitation Vol. 98; no. 2; pp. 341 - 346
• Main Authors: Bell, Nathaniel, PhD, Kidanie, Tsion, MSc, Cai, Bo, PhD, Krause, James S., PhD
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.02.2017
• Subjects: Adult; Aged; Female; Geographic information systems; Health Benefit Plans, Employee - statistics & numerical data; Health Services - utilization; Health services accessibility; Health Services Accessibility - statistics & numerical data; Humans; Insurance Claim Review; Male; Medicaid - statistics & numerical data; Middle Aged; Outpatients - statistics & numerical data; Patient Acceptance of Health Care - statistics & numerical data; Physical Medicine and Rehabilitation; Rehabilitation; Retrospective Studies; South Carolina; Spinal cord injuries; Spinal Cord Injuries - therapy; Transportation - statistics & numerical data; United States; RR; spinal cord injury; CI; RFA; Health services accessibility; relative risk; South Carolina; SC; PEBA; SCI; Public Employee Benefit Authority; Revenue and Fiscal Affairs; Spinal cord injuries; confidence interval; Rehabilitation; Geographic information systems
• ISSN: 0003-9993; 1532-821X
• DOI: 10.1016/j.apmr.2016.09.130

Abstract Objective To assess whether travel distances between patients and providers predict the frequency in which outpatient health care services are accessed after spinal cord injury (SCI). Design A retrospective cohort study was carried out in South Carolina among employee health plan and Medicaid insurance recipients. Setting Research center. Participants Two years of outpatient claimant data were evaluated from patients (N=243) aged ≥18 years who were hospitalized between 2010 and 2012. Interventions Travel distances were estimated by geocoding provider and patient address information onto street network files. Main Outcome Measures Variation in service utilization use was assessed using negative binomial regression. Outpatient visits for physical medicine and rehabilitation, physician and specialty clinic, radiology, internal medicine, behavioral mental health, and “other” were evaluated. Results Longer travel distances were statistically significant predictors of decreased physician/specialty clinic (relative risk [RR]=.87; 95% confidence interval [CI], .79–.96) and physiotherapy (RR=.57; 95% CI, .46–.71) utilization, with mixed findings for other providers. Secondary analyses in which differences in service use were analyzed using census-defined classifications of urban and rural status did not demonstrate any geographic pattern. Conclusions There are significant geographic variations in the use of select outpatient services among SCI populations across the state that are related to longer travel distances. That these patterns were only visible when using travel distance models as opposed to census-based classifications of urban and rural status adds support to augmenting routine data collection and surveillance with spatial analytical models.