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CONTEXT: Past studies show that rural populations are less likely than urban populations to have health insurance coverage, which may severely limit their access to needed health services. PURPOSE: To examine rural-urban differences in various aspects of health insurance coverage among working-age adults in Kentucky. METHODS: Data are from a household survey conducted in Kentucky in 2005. The respondents include 2,036 individuals ages 18-64. Bivariate analyses were used to compare the rural-urban differences in health insurance coverage by individual characteristics. Logistic regression analyses were used to examine the independent impact of rural-urban residence on the various aspects of health insurance coverage, while controlling for the individuals' health status and sociodemographic characteristics. FINDINGS: The overall rate of working-age adults with health insurance did not differ significantly between the rural and urban areas of Kentucky. However, there were significant rural-urban differences in insurance for specific types of health care and in patterns of insurance coverage. Rural adults were less likely than urban adults to have coverage for vision care, dental care, mental health care, and drug abuse treatment. Rural adults were also less likely to obtain insurance through employment, and their current insurance coverage was, on average, of shorter duration than that of urban adults. CONCLUSIONS: In Kentucky, the overall health insurance rate of working-age adults is influenced more by employment status and income than by whether these individuals reside in rural or urban areas. However, coverage for specific types of care, and coverage patterns, differ significantly by place of residence.

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OBJECTIVES: We examined the prevalence and correlates of potentially violent disagreements among AI/AN families with children. METHODS: We conducted a cross-sectional examination of data from the 2003 National Survey of Children's Health, limited to seven states for which AI/AN race/ethnicity was available in public use files (Alaska, Arizona, Montana, New Mexico, North Dakota, Oklahoma, and South Dakota). Disagreements were classified based on how the family deals with conflict. If disagreements involved actual (hitting) or symbolic (throwing) violence, even rarely, the household was categorized as having "potentially violent disagreements," with heated argument and shouting being classified as "heated disagreement." Parenting stress and demographic characteristics were included as potential correlates. RESULTS: Potentially violent disagreements were reported by 8.4% of AI/AN and 8.4% of white families. The odds for potentially violent disagreements were markedly higher among parents reporting high parenting stress, in both AI/AN (OR 7.20; CI 3.45-15.00) and white (3.59, CI 2.71-4.75) families. High parenting stress had similar effects on the odds for heated discussion. Having a child with special health care needs was associated with parenting stress. CONCLUSIONS: Questions about disagreement style may be useful as potential screens for domestic violence.

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CONTEXT: Community Health Centers (CHCs) and Critical Access Hospitals (CAHs) play a significant role in providing health services for rural residents across the United States. PURPOSE: The overall goal of this study was to identify the CAHs that have collaborations with CHCs, as well as to recognize the content of the collaborations and the barriers and facilitators to collaborations. METHODS: The target population was CAHs within 60 miles of CHCs. Surveys were mailed to 386 chief executive officers of CAHs in 41 states who met the study criteria. The response rate was 40.9%. A descriptive analysis using chi-square tests compared the status of partnerships along with factors identified as barriers and facilitators to collaboration. FINDINGS: Out of the 161 CAH respondents, 24 (14.9%) reported having a collaborative agreement with a CHC, and 2 indicated that they planned to develop a collaborative agreement. A common reason given for not collaborating was lack of awareness of a CHC within the service area. Other barriers identified were competition with CHCs and organizational differences. External funding to start a collaborating service was the most frequently cited factor to facilitate collaborations. CONCLUSIONS: The findings indicate that collaborations between CAHs and CHCs are a largely untapped resource. The rural health care services continuum may benefit from increased collaborations.

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Kentucky has the 5th highest influenza-related death rate in the United States with about 1000 Kentuckians dying each year from complications of influenza. The majority of these patients are in identifiable risk groups for complications of influenza. Yearly immunizations with the influenza vaccine reduce the risk for hospitalization and death.

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OBJECTIVE: To examine associations between management training of physician executives and their leadership styles, as well as effectiveness in achieving disease management goals. STUDY DESIGN: Cross-sectional national survey. METHODS: Executive directors of community health centers (269 respondents; response rate = 40.9%) were surveyed regarding their perceptions of the medical director's leadership, and for quantitative information on the center's achievement of clinical (mostly disease management) goals. The dependent variables were the medical director's scores (as perceived by the executive director) on transformational, transactional, and laissez-faire leadership, effectiveness, satisfaction with the leader, and subordinate extra effort, using an adapted Multifactor Leadership Questionnaire (43 items; 5-point Likert scale). The independent variable was the medical director's management training status. RESULTS: Compared with medical directors with < 30 days of inservice training, medical directors with an MHA, MPH, or MBA, or > or =30 days of in-service training, had 0.32, 0.35, 0.30, 0.36, and 0.37 higher scores on transformational leadership, transactional leadership, rated effectiveness, satisfaction, and subordinate extra effort, respectively, and 0.31 lower score on laissez-faire leadership (all P < .001). Medical directors without management degrees but with > or =30 days of in-service training had 0.34, 0.36, 0.50, and 0.47 higher scores on transformational leadership, transactional leadership, rated effectiveness, and satisfaction with the leader (all P < .02). Our data previously had demonstrated that medical directors' transformational leadership significantly influences achievement of disease management goals. CONCLUSION: Training may enable physician executives to develop leadership styles that are effective in influencing clinical providers' adoption of disease management guidelines under managed care.

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The authors study the association between physician leadership styles and leadership effectiveness. Executive directors of community health centers were surveyed (269 respondents; response rate = 40.9 percent) for their perceptions of the medical director's leadership behaviors and effectiveness, using an adapted Multifactor Leadership Questionnaire (43 items on a 0-4 point Likert-type scale), with additional questions on demographics and the center's clinical goals and achievements. The authors hypothesize that transformational leadership would be more positively associated with executive directors' ratings of effectiveness, satisfaction with the leader, and subordinate extra effort, as well as the center's clinical goal achievement, than transactional or laissez-faire leadership. Separate ordinary least squares regressions were used to model each of the effectiveness measures, and general linear model regression was used to model clinical goal achievement. Results support the hypothesis and suggest that physician leadership development using the transformational leadership model may result in improved health care quality and cost control.

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The impact of states' small group market reforms on uninsurance rates was examined. Reform status was quantified on five reform dimensions: Access Improvement, Premium Reduction, Premium Differential Reduction, Continuity of Coverage, and Enhancing Valued Plan Features. These reform indices were calculated based on actuarial judgment of the market impact potential of each regulation. Regression analysis showed no association between uninsurance rates and the depth of reforms on any dimension, while controlling for income, foreign-born population, black population, and employment in the smallest businesses. Possible reasons for the lack of impact are discussed.

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The objective of the study described in this article was to identify a model that best predicts state uninsurance rates and quantifies the contribution of socio-economic factors to enable targeted state programs to reduce uninsurance. Linear regression analysis was carried out using state uninsurance rate as the dependent variable and state-level data on demographic, employment, income, and health care environment data (independent variables). For 2000 data, the model R is 0.77, indicating that 77% of the variation in uninsurance rates is explained by the percentage of immigrant population, the workforce in very small businesses, the Black population, the state's median income, and the Medicare-aged population (model R = 0.77 for 1999 and 0.68 for 1998 data). A 1% increase in immigrant population is associated with 0.18% increase in uninsurance rate. A 1% increase in workforce employed in very small businesses associates with 0.79% increase in uninsurance. The findings indicate substantial potential for reducing uninsurance through targeted state policies. Policy recommendations are made to alleviate the insurance hurdles faced by immigrant and small business employee populations.

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As evidence accumulates that both unhealthy behaviors and inadequate access to health care are responsible in part for poor health, there is a tendency to attribute the differences in health status between the poor and the affluent to the higher prevalence of unhealthy behaviors and inadequate access to health care among people of low socioeconomic status (SES). The purpose of this study is to determine quantitatively how much health behaviors and health insurance coverage account for the SES disparity in health. The study employed secondary analysis of data collected through the Kentucky Behavioral Risk Factor Surveillance System for 2000. After adjusting for health behaviors and health insurance coverage, the differences in health among different levels of SES (measured by education and income) remained strong and significant. Health behaviors and health insurance coverage accounted for 10-16% of the socioeconomic differences in health.

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Rural racial/ethnic minorities constitute a forgotten population. The limited research addressing rural Black, Hispanic, and American Indian/Alaska Native populations suggests that disparities in health and in health care access found among rural racial/ethnic minority populations are generally more severe than those among urban racial/ethnic minorities. We suggest that disparities must be understood as both collective and contextual phenomena. Rural racial/ethnic minority disparities in part stem from the aggregation of disadvantaged individuals in rural areas. Disparities also emerge from a context of limited educational and economic opportunity. Linking public health planning to the education and economic development sectors will reduce racial/ethnic minority disparities while increasing overall well-being in rural communities.

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CONTEXT: Nationally, minority population disparities in health and in the receipt of health services are well documented but are infrequently examined within rural populations. PURPOSE: The purpose of this study is to provide a national picture of health insurance coverage and access to care among rural minorities. METHODS: A cross-sectional analysis using the 1999-2000 National Health Interview Surveys examined insurance status and receipt of ambulatory care during the past year. Multiple logistic regression was used to measure factors influencing the odds of insurance coverage and a provider visit. FINDINGS: Among rural minority adults, 32% of blacks, 35% of "other" race persons, and 45% of Hispanics were uninsured compared to 18% of whites. Differences in insurance status were not significant for rural blacks and Hispanics after resources such as education, income, and employment were held constant. Examining use, 37% of rural Hispanics and 27% of blacks, versus 20% of whites and 19% of persons of other race, had not made a health care visit in the past year. When resources were held constant, blacks and persons of other race/ethnicity no longer differed from whites, but differences among Hispanics persisted. CONCLUSIONS: A comprehensive approach to the health needs of rural working age adults must consider the unique characteristics of rural communities and populations, requiring cultural as well as financial creativity in the design of health delivery systems. The importance of resources such as education and employment points to the need to link health problems to area-specific rural economic development.

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States are ranked based on the potential of their small group health insurance reforms to enhance health insurance uptake. Reforms were quantified based on their market impact potential. Five dimensions of reforms were identified, Access Improvement, Premium Reduction, Premium Differential Reduction, Continuity of Coverage, and Enhancing Valued Plan Features. The reform indices representing these dimensions were developed based on document review of state statutes, combined with actuarial judgment to identify and assign scores to market-relevant regulations in line with their impact potential. The distribution of the states' reform scores and rankings show wide variation in the depth and focus of their reforms. Only seven of the top ten states on the Total Reform index had consistently higher scores on two or more reform dimensions. The conceptual linkages between specific regulations and the documented small group market problems lead to normative expectations of an association between the depth of state reforms and the prevalence of uninsurance.

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BACKGROUND: Since 1970, the National Health Service Corps (NHSC) has worked to increase primary care access among underserved groups. This study examined whether NHSC alumni physicians were likely to treat a high proportion of Medicaid patients in their practices. METHODS: Using licensure files and hospital discharge data, we identified all physicians practicing in South Carolina who attended at least one discharge in 1998, excluding physicians who graduated before 1969, residents, and current NHSC-obligated physicians. The outcome studied was ranking in the highest quartile for Medicaid participation. RESULTS: Former NHSC participants, after adjustment for personal characteristics, education, and specialty, were nearly twice as likely to fall into the category of high Medicaid participation. NHSC physicians were more likely to practice in community health centers and to locate in areas with a health professions shortage and counties with high percentages of minorities and people living in poverty. CONCLUSION: NHSC alumni make career choices leading them to serve low-income patients.

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OBJECTIVE: We examined pediatric hospitalizations to assess personal and community factors affecting potentially preventable ambulatory care-sensitive condition (ACSC) hospitalizations. METHODS: Data came from the South Carolina 1998 Hospital Inpatient Encounter Database, which yielded 10,156 ACSC discharges among 81,808 pediatric hospitalizations. Analyses were performed at three levels: ACSC as a percentage of all hospitalizations, ACSC patients compared with other patients, and county ACSC rates. RESULTS: Younger, male, and nonwhite children; children with Medicaid insurance coverage; and children living in rural areas, health professional shortage area-designated counties, and poorer counties with fewer heath care resources were more likely to be hospitalized with ACSCs. A high percentage of children living in poverty and an absence of federally qualified community health centers were predictive of high county ACSC rates. CONCLUSION: Poverty and the absence of a provider serving low-income children increase ACSC rates. Monitoring changes in ACSC rates can be a tool for studying the effects of policy change.

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OBJECTIVE: To examine factors affecting the job satisfaction of registered nurses (RNs). BACKGROUND: A growing recognition of job dissatisfaction among RNs in South Carolina hospitals has contributed to current problems with recruitment and retention. If administrators identify factors influencing RNs' job satisfaction in hospitals and implement strategies to address these factors, RN turnover rates will decrease and recruiting and retention rates will increase. METHODS: A cross-sectional study of secondary data was designed to identify the individual, work, and geographic factors that impact nursing job satisfaction at the state level. A 27-question self-administered survey was sent to 17,500 RNs in South Carolina with postage-paid envelopes for their responses. Surveys from 3472 nurses were completed anonymously. Univariate statistics were used to describe the study sample. One-way and multivariable Analysis of Variance were used to determine which variables contributed the most to job satisfaction. RESULTS: For about two thirds of the RNs, job satisfaction remained the same or had lessened over the past 2 years. In addition, statistically significant differences were found between job satisfaction and years of service, job position, hospital retirement plan, and geographic area. CONCLUSIONS: The findings have implications for nurse managers and hospital administrators for planning and implementing effective health policies that will meet the unique needs of their staffs and organizations. Such research is particularly relevant in this difficult time of nursing shortages throughout the healthcare industry.

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Infant morbidity due to low birth weight and preterm births results in emotional suffering and significant direct and indirect costs. African American infants continue to have worse birth outcomes than white infants. This study examines relationships between newborn hospital costs, maternal risk factors, and prenatal care in Medicaid recipients in an impoverished rural county in South Carolina. Medicaid African American mothers gave birth to fewer preterm infants than did non-Medicaid African American mothers. No differences in the rates of preterm infants were noted between white and African American mothers in the Medicaid group. Access to Medicaid services may have contributed to this reduction in disparities due to race. Early initiation of prenatal care compared with later initiation did not improve birth outcomes. Infants born to mothers who initiated prenatal care early had increased morbidity with increased utilization of hospital services, suggesting that high-risk mothers are entering prenatal care earlier.

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The purposes of this study were to examine the relationship between dietary behavior and self-perceived health status and to demonstrate the relative significance of people's socioeconomic characteristics in relation to their dietary behavior. Data came from the 1994 Behavioral Risk Factor Surveillance System of South Carolina. Descriptive statistics were performed to provide a profile of the general characteristics of the sample. Multivariate linear regression modeling was used to examine the relative significance of socioeconomic status in relation to dietary behavior and the association between dietary behavior and self-perceived general, physical, and mental health status, controlling for other behavioral risk factors, such as smoking and sedentary lifestyle. Socioeconomically disadvantaged individuals with low income and low educational level were more likely to engage in poor dietary practice than were their counterparts. Dietary behavior was found strongly associated with self-perceived general and mental health status.

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