This study examined the net effects of individual and community factors on the likelihood of registered nurses leaving current jobs using a logit analysis. Based on data from a survey of 2,509 rural nurses, four separate models were estimated and compared: one for nurses in rural settings as a whole and the other three for nurses in hospitals, skilled nursing facilities, and community/public health agencies. Results of the general model indicated that nurses' marital status, age, position, income, job satisfaction, and satisfaction with the community were significant determinants of the likelihood of leaving current jobs. Job satisfaction was the most significant factor, followed by satisfaction with the community. Findings from the models for three different employment settings were similar to those of the general model. However, the significance of factors and their strength of effect on nurses' decisions to leave or stay in their current jobs differed across the three types of facilities. Based on these findings rural nursing administrators and policy-makers should give priority to retention strategies that focus on improving the job environment. The development of different strategies for different groups of nurses (i.e., by age or marital status) and different types of facilities should increase the benefit/cost ratio. In addition, programs that involve rural health care agencies in community and economic development should be further explored as an avenue to increased nurse retention in rural areas.

Hospital closure, a devastating event in the life of small communities, can have long-lasting medical, economic, and psychological consequences. This study focuses on a 1991 closure that occurred in the rural North Dakota town of Beach that left local residents 40 and 61 miles away from the nearest hospitals. Two hundred residents of the hospital's former service area were selected via systematic random sampling to share their perceptions on the causes and effects of closing their local hospital. According to respondents, this hospital closure was caused by a number of influences, with the most commonly cited being under-utilization of services by local residents, exacting government rules and regulations, doleful economic climate, dwindling population, poor and unstable local physician care, and poor management of hospital matters. Findings further indicated that Beach area residents were most concerned with poor access to emergency medical care as a result of the closing. Area dwellers perceived that the hospital closure's aftermath would include the loss of local jobs, further declines in the local economy, the suffering of elderly and children, transportation problems, and out-migration of some area residents. These concerns, coupled with the notable decrease in hospital care access, motivated many area residents to think of solutions to these problems rather than to place blame on others for the closure.

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Because increasing numbers of physicians are being trained in specialized medicine, health professional shortage areas remain common in the United States, and the role of physician assistants (PAs) in health services provision is becoming increasingly important, especially in rural and underserved areas. By most accounts, there is a shortage of PAs in the United States, particularly in rural areas. A nationwide survey was conducted in 1994 to determine what attracted PAs to rural settings and what they found satisfying about their work and community. This study involved a random sample of 1,263 PAs who practiced in rural (nonmetropolitan) areas of the United States. A 15-item scale was developed to measure job satisfaction. A statistical model was tested for its ability to predict levels of job satisfaction using multiple regression analysis. Independent variables included demographics, practice, and community factors. Findings indicated that rural PAs were generally satisfied with their work. The most significant predictors of satisfaction included practice factors (e.g., importance of autonomy and a good relationship with the supervising physician), extent of practice responsibilities (e.g., regular and on-call hours and the percentage of PAs' patient load that was not discussed with the supervising physician), and community factors (e.g., community satisfaction).

Purpose Studies have shown that women who engage in high levels of physical activity have higher rates of cancer screening, including Papanicalaou (Pap) tests. Because American Indian (AI) women are at high risk for cervical cancer morbidity and mortality, we examined Pap screening prevalence and assessed whether physical activity was associated with screening adherence among AI women from 2 culturally distinct regions in the Northern Plains and the Southwest. Methods A total of 1,979 AI women at least 18 years of age participating in a cross-sectional cohort study reported whether they received a Pap test within the previous 3 years. Physical activity level was expressed as total metabolic equivalent (MET) scores and grouped into quartiles. We used binary logistic regression to model the association of Pap testing and MET quartile, adjusting for demographic and health factors. Findings Overall, 60% of women received a Pap test within the previous 3 years. After controlling for covariates, increased physical activity was associated with higher odds of Pap screening (OR = 1.1 per increase in MET quartile; 95% CI = 1.1, 1.2). Conclusions This is the first study to examine physical activity patterns and receipt of cancer screening in AIs. While recent Pap testing was more common among physically active AI women, prevalence was still quite low in all subgroups. Efforts are needed to increase awareness of the importance of cervical cancer screening among AI women.