Farmworkers are low-paid, uninsured employees in an extremely hazardous industry, and they provide an essential service for U.S. society. This review evaluates the delivery of health services to farmworkers. It describes the farmworker population in the United States, noting characteristics (e.g., migratory and immigration status) that limit their access to and utilization of health services. It describes the health services needs of this population, including occupational health, mental health, oral health, and chronic disease treatment. Cultural, structural, legal, financial, and geographic barriers to health services utilization are described. Existing research on health services utilization among farmworkers is discussed. Programs that have been developed to address the barriers to health services utilization among farmworkers are reviewed. Finally, research needed to improve knowledge of farmworker health services utilization is suggested. These research needs include formal evaluations of existing programs and basic research to characterize the health services utilization patterns of farmworkers.

Objective. This analysis determines the importance of geography and spatial behavior as predisposing and enabling factors in rural health care utilization, controlling for demographic, social, cultural, and health status factors. Data Sources. A survey of 1,059 adults in 12 rural Appalachian North Carolina counties. Study Design. This cross-sectional study used a three-stage sampling design stratified by county and ethnicity. Preliminary analysis of health services utilization compared weighted proportions of number of health care visits in the previous 12 months for regular check-up care, chronic care, and acute care across geographic, sociodemographic, cultural, and health variables. Multivariable logistic models identified independent correlates of health services utilization. Data Collection Methods. Respondents answered standard survey questions. They located places in which they engaged health related and normal day-to-day activities; these data were entered into a geographic information system for analysis. Principal Findings. Several geographic and spatial behavior factors, including having a driver's license, use of provided rides, and distance for regular care, were significantly related to health care utilization for regular check-up and chronic care in the bivariate analysis. In the multivariate model, having a driver's license and distance for regular care remained significant, as did several predisposing (age, gender, ethnicity), enabling (household income), and need (physical and mental health measures, number of conditions). Geographic measures, as predisposing and enabling factors, were related to regular check-up and chronic care, but not to acute care visits. Conclusions. These results show the importance of geographic and spatial behavior factors in rural health care utilization. They also indicate continuing inequity in rural health care utilization that must be addressed in public policy.

Further research must address the transportation behavior related to health care and the factors that influence this behavior. This information will inform policy alternatives to address geographic barriers to health care in rural communities.

No abstract

We examine Internet use and eHealth literacy among older adults (aged 55+ years) who were patients at clinics serving low-income populations. Participants included 200 minority and White adults who completed interviews based on a technology acceptance conceptual model. A total of 106 participants (53.0%) used the Internet; utilization was associated with personal characteristics (age, ethnicity, education, poverty), computer characteristics (number of e-devices, computer stress), social support (marital status), and health knowledge and attitudes (health literacy, medical decision making, health information sources), but not health status. Of the 106 participants who used the Internet, 52 (49.1%) had high eHealth literacy; eHealth literacy was associated with computer characteristics (number of e-devices, computer stress), and health knowledge and attitudes (medical decision making, health information sources). In multivariate analysis, computer stress maintained a significant inverse association with eHealth literacy. Educational interventions to help older adults successfully use technology and improve eHealth literacy must be identified.