Proposed Changes to Designations of Medically Underserved Populations and Health Professional Shortage Areas: Effects on Rural Areas

This paper reports an analysis of the proposed rule to combine medically underserved population (MUP) and health professional shortage area (HPSA) designations, as published by the Bureau of Primary Health Care (BPHC) in the Federal Register on Sept. 1, 1998 (Department of Health and Human Services, 1998). The effects of the proposed rule overall and on rural communities were examined, particularly with respect to current whole county HPSA designations and eligibility for federal assistance programs. National, county-level estimates of primary care provider counts and other measures included in the proposed rule were used. Different primary care provider sources were compared; results were highly dependent on the data source and the inclusions of counts of nurse practitioners and physician assistants. The projections of losses from the proposed rule were higher than those of the BPHC, probably due to the use of different sources for provider counts. Overall, the authors projected that more than 50 percent of current whole-county HPSAs would lose designation using the proposed rule. The proportion of rural counties that lost designation was not significantly greater than the proportion of urban counties, but because there are many more rural counties, more de-designations were projected to occur in rural areas. The researchers also predicted that 58 percent of rural whole-county HPSAs with National Health Service Corps providers would lose their designation, but most rural whole-county HPSAs with Community and Migrant Health Centers or Rural Health Clinics retained their MUP designation using the proposed rule. The proposed rule likely has a larger effect on current designations than originally projected by the BPHC.     

National Health Service Corps Staffing and the Growth of the Local Rural Non-NHSC Primary Care Physician Workforce

CONTEXT: Beyond providing temporary staffing, National Health Service Corps (NHSC) clinicians are believed by some observers to contribute to the long-term growth of the non-NHSC physician workforce of the communities where they serve; others worry that NHSC clinicians compete with and impede the supply of other local physicians. PURPOSE: To assess long-term changes in the non-NHSC primary care physician workforce of rural underserved counties that have received NHSC staffing support relative to workforce changes in underserved counties without NHSC support. METHODS: Using data from the American Medical Association and NHSC, we compared changes from 1981 to 2001 in non-NHSC primary care physician to population ratios in 2 subsets of rural whole-county health professional shortage areas: (1) 141 counties staffed by NHSC physicians, nurse practitioners, and/or physician assistants during the early 1980s and for many of the years since and (2) all 142 rural health professional shortage area counties that had no NHSC clinicians from 1979 through 2001. FINDINGS: From 1981 to 2001, counties staffed by NHSC clinicians experienced a mean increase of 1.4 non-NHSC primary care physicians per 10,000 population, compared to a smaller, 0.57 mean increase in counties without NHSC clinicians. The finding of greater non-NHSC primary care physician to population mean ratio increase in NHSC-supported counties remained significant after adjusting for baseline county demographics and health care resources (P < .001). The estimated number of "extra" non-NHSC physicians in NHSC-supported counties in 2001 attributable to the NHSC was 294 additional physicians for the 141 supported counties, or 2 extra physicians, on average, for each NHSC-supported county. Over the 20 years, more NHSC-supported counties saw their non-NHSC primary care workforces grow to more than 1 physician per 3,500 persons, but no more NHSC-supported than nonsupported counties lost their health professional shortage area designations. CONCLUSIONS: These data suggest that the NHSC contributed positively to the non-NHSC primary care physician workforce in the rural underserved counties where its clinicians worked during the 1980s and 1990s.     

Expected Annual Emergency Miles per Ambulance: An Indicator for Measuring Availability of Emergency Medical Services Resources

CONTEXT: To ensure equitable access to prehospital care, as recommended by the Rural and Frontier Emergency Medical Services (EMS) Agenda for the Future, policymakers will need a uniform measure of EMS infrastructure. PURPOSE AND METHODS: This paper proposes a county-level indicator of EMS resource availability that takes into consideration existing EMS resources (ambulances), population health and demographics, and geographic factors. The indicator, the EXpected annual emergency miles per AMBulance (EXAMB), provides a basis for comparing ambulance availability across counties within states. A method for calculating the EXAMB indicator is demonstrated using data from 5 states. FINDINGS: The EXAMB indicator was negatively correlated with ambulance availability per 100,000 population in 4 of the 5 states in the study. The indicator was positively correlated with rurality in 3 states. In Mississippi, South Carolina, and Wyoming, whole-county health professional shortage areas had median EXAMB values 45%-81% higher than those of the non-health professional shortage areas counties. CONCLUSIONS: Future research should explore the relationship of the EXAMB to EMS outcomes, with the ultimate goal of developing a nationally recognized indicator of "adequate" EMS resource availability.     

Differential Neonatal and Postneonatal Infant Mortality Rates Across US Counties: The Role of Socioeconomic Conditions and Rurality

ABSTRACT:  Purpose: To examine differences in correlates of neonatal and postneonatal infant mortality rates, across counties, by degree of rurality. Methods: Neonatal and postneonatal mortality rates were calculated from the 1998 to 2002 Compressed Mortality Files from the National Center for Health Statistics. Bivariate analyses assessed the relationship between neonatal and postneonatal mortality by Urban Influence (UI) codes. Multivariable, weighted least-squares regression models included measures of county socioeconomic conditions, health services and environmental risks. Findings: The bivariate analysis indicated neonatal and postneonatal mortality was significantly higher in the most nonmetropolitan counties compared to the most metropolitan counties. However the relationship was not linear across the Urban Influence codes. In the multivariable models, a nonmetropolitan advantage was observed for counties not adjacent to metropolitan areas for neonatal mortality. However, postneonatal mortality rates were higher in the most rural nonmetropolitan counties. Conclusions: Certain characteristics of nonmetropolitan counties not adjacent to metropolitan counties and with an urban area of 2,500 population or more are protective against neonatal mortality (UI = 7, UI = 8). This may indicate that just having access to health services is more important to creating a protective effect for these nonmetropolitan counties than having a high concentration of medical facilities. The nonmetropolitan, not adjacent (UI = 9) disadvantage observed for postneonatal mortality supports the idea that the isolation of these areas combined with the combination of risk factors across the most nonmetropolitan counties leads to poorer postneonatal health outcomes in these areas.     

100% access,zero health disparities,and GIS: an improved methodology for designating health professions shortage areas

The (Health Professions Shortage Areas) HPSA designation process was developed as a mechanism to identify primary care shortage areas eligible for participation in specific federally funded programs including a 10% Medicare supplement, the National Health Service Corps, and health professions training programs. The purpose of this paper was to explore the utility of Geographic Information Systems (GIS) technology as an improved methodology for obtaining HPSA designation status for geographic areas. Results showed that GIS identified 24 Medical Services Study Areas (rational planning areas) in Los Angeles County that met the minimum 3500:1 population-to-primary-care physician ratio for geographic area HPSA designation compared to only three that currently are identified. Authors concluded that restructuring of the state/county responsibilities for HPSA designation is long overdue and that use of GIS as a required methodology would help ensure that all areas in any state that meet the intent of federal legislation are included.     

Chronic cardiovascular disease mortality in mountaintop mining areas of central Appalachian states

Purpose: To determine if chronic cardiovascular disease (CVD) mortality rates are higher among residents of mountaintop mining (MTM) areas compared to mining and nonmining areas, and to examine the association between greater levels of MTM surface mining and CVD mortality. Methods: Age‐adjusted chronic CVD mortality rates from 1999 to 2006 for counties in 4 Appalachian states where MTM occurs (N = 404) were linked with county coal mining data. Three groups of counties were compared: MTM, coal mining but not MTM, and nonmining. Covariates included smoking rate, rural‐urban status, percent male population, primary care physician supply, obesity rate, diabetes rate, poverty rate, race/ethnicity rates, high school and college education rates, and Appalachian county. Linear regression analyses examined the association of mortality rates with mining in MTM areas and non‐MTM areas and the association of mortality with quantity of surface coal mined in MTM areas. Findings: Prior to covariate adjustment, chronic CVD mortality rates were significantly higher in both mining areas compared to nonmining areas and significantly highest in MTM areas. After adjustment, mortality rates in MTM areas remained significantly higher and increased as a function of greater levels of surface mining. Higher obesity and poverty rates and lower college education rates also significantly predicted CVD mortality overall and in rural counties. Conclusions: MTM activity is significantly associated with elevated chronic CVD mortality rates. Future research is necessary to examine the socioeconomic and environmental impacts of MTM on health to reduce health disparities in rural coal mining areas.     

Hot spots in mortality from drug poisoning in the United States, 2007–2009

Over the past several years, the death rate associated with drug poisoning has increased by over 300% in the U.S. Drug poisoning mortality varies widely by state, but geographic variation at the substate level has largely not been explored. National mortality data (2007–2009) and small area estimation methods were used to predict age-adjusted death rates due to drug poisoning at the county level, which were then mapped in order to explore: whether drug poisoning mortality clusters by county, and where hot and cold spots occur (i.e., groups of counties that evidence extremely high or low age-adjusted death rates due to drug poisoning). Results highlight several regions of the U.S. where the burden of drug poisoning mortality is especially high. Findings may help inform efforts to address the growing problem of drug poisoning mortality by indicating where the epidemic is concentrated geographically.     

Persistent clusters of mortality in the United States

We explored how place shapes mortality by examining 35 consecutive years of US mortality data. Mapping age-adjusted county mortality rates showed both persistent temporal and spatial clustering of high and low mortality rates. Counties with high mortality rates and counties with low mortality rates both experienced younger population out-migration, had economic decline, and were predominantly rural. These mortality patterns have important implications for proper research model specification and for health resource allocation policies.     

The Rural Physician Workforce in Florida: A Survey of US- and Foreign-Born Primary Care Physicians

CONTEXT: To meet the challenge of primary care needs in rural areas, continuing assessment of the demographics, training, and future work plans of practicing primary care physicians is needed. PURPOSE: This study's goal was to assess key characteristics of primary care physicians practicing in rural, suburban, and urban communities in Florida. METHODS: Surveys were mailed to all of Florida's rural primary care physicians (n = 399) and a 10% sampling (n = 1236) of urban and suburban primary care physicians. FINDINGS: Responses from 1000 physicians (272 rural, 385 urban, 343 suburban) showed that rural physicians were more likely to have been raised in a rural area, foreign-born and trained, a National Health Service Corps member, or a J-1 visa waiver program participant. Rural physicians were more likely to have been exposed to rural medical practice or living in a rural environment during their medical school and residency training. Factors such as rural upbringing and medical school training did not predict future rural practice with foreign-born physicians. Overall, future plans for practice did not seem to differ between rural, urban, and suburban physicians. CONCLUSIONS: Recruiting and retaining doctors in rural areas can be best supported through a mission-driven selection of medical students with subsequent training in medical school and residency in rural health issues. National programs such as the National Health Service Corps and the J-1 visa waiver program also play important roles in rural physician selection and should be taken into account when planning for future rural health care needs.     

Metropolitan and non-metropolitan trends in coronary heart disease mortality within Appalachia, 1980-1997

OBJECTIVES: In this article, we report on metropolitan and non-metropolitan trends in coronary heart disease (CHD) mortality within the Appalachian Region for the period 1980 to 1997. We hypothesized that trends in CHD mortality would be less favorable in non-metropolitan populations with diminished access to social, economic, and medical care resources at the community level. METHODS: Our study population consisted of adults aged 35 years and older who resided within the 399 counties of the Appalachian Region between 1980 and 1997. We examined mortality trends for sixteen geo-demographic groups, defined by gender, age, race, and metropolitan status of county of residence. For each geo-demographic group, we calculated annual age-adjusted CHD mortality rates. Line graphs of these temporal trends were created, and log-linear regression models provided estimates of the average annual percent change in CHD mortality from 1980 to 1997. Data on social, economic, and medical care resources for metropolitan vs. non-metropolitan counties were also analyzed. RESULTS: Rates of CHD mortality were consistently higher in non-metropolitan areas compared with metropolitan areas for blacks of all ages and for younger whites. CHD mortality declined among almost all geo-demographic groups, but rates of decline were slower among non-metropolitan vs. metropolitan residents, blacks vs. whites, women vs. men, and older vs. younger adults. Non-metropolitan areas had fewer socioeconomic and medical care resources than metropolitan areas in 1990. CONCLUSIONS: Appalachia, particularly non-metropolitan Appalachia, needs policies and programs that will enhance both primary and secondary prevention of CHD, and help diminish racial inequalities in CHD mortality trends.     

Trends in the Rehabilitation Therapist Workforce in Underserved Areas: 1980-2000

ABSTRACT:  Context: There is little information about how increases in the rehabilitation therapist workforce have been distributed over the nation. There is evidence that rural areas continue to face a shortage of trained rehabilitation providers. There has also been little attention to therapist distribution in non-rural settings where health professionals are in short supply. Purpose: To assess the change in the distribution of rehabilitation therapists in 1980, 1990, and 2000 across counties with different levels of health professional shortages and the difference between metropolitan and non-metropolitan counties. Methods: A trend analysis of cross-sectional data of employment of physical therapists, occupational therapists, and speech-language pathologists from 1980 to 2000 by county, relative to population, was done. The groups were stratified by shortage area, partial shortage area, and non-shortage counties and metropolitan and non-metropolitan counties. Findings: There is a maldistribution of rehabilitation therapists in the United States. Although the absolute differences have remained the same or, in most instances, have increased, the relative change was greatest in the shortage areas and non-metropolitan areas. If the trends in the relative changes continue, the absolute differences may begin to narrow. Conclusions: This study provides evidence that there are maldistributions of rehabilitation therapists in traditionally underserved areas. It is unclear if these maldistributions represent a shortage of rehabilitation therapists. Continued monitoring of the rehabilitation therapist workforce and the determination of the optimal supply should be undertaken in the future.     

Location decisions of National Health Service Corps physicians

Results of a survey of 100 National Health Service Corps (NHSC) physicians in 10 east coast states (94 per cent response rate) indicate that 56 have plans to locate in a rural area after their service obligation is complete and 15 have not yet decided. Those who decide for a rural practice value personal and community factors to a higher degree than professional factors and are more likely to have a primary care practice.     

陕西省世界银行贷款/英国赠款中国农村卫生发展项目第三领域健康促进活动效果评估

目的评估陕西省世界银行贷款/英国赠款中国农村卫生发展项目第三领域健康促进活动效果,了解健康促进干预前后项目县居民和中小学生基本健康知识知晓率和健康行为形成率。方法对比分析健康促进干预前后各项目县基线调查问卷监测数据,采用Epidata 3.0软件录入数据,用SPSS 13.0进行统计分析。结果项目县居民和中小学生基本健康知识知晓率分别为70%～80%、80%～85%,健康行为形成率分别为51%～63%和65%～75%。健康促进干预后,5个项目县居民和中小学生基本健康知识知晓率均已达到并超过预期目标,健康行为形成率在基线调查的基础上均有大幅度的提高。结论结合性别、年龄、文化程度、民族、职业和家庭经济水平等影响因素,继续探索适合陕西省农村地区的健康促进干预方法。     

White infant mortality in Appalachian states, 1976-1980 and 1996-2000: changing patterns and persistent disparities

Purpose: Appalachian counties have historically had elevated infant mortality rates. Changes in infant mortality disparities over time in Appalachia are not well‐understood. This study explores spatial inequalities in white infant mortality rates over time in the 13 Appalachian states, comparing counties in Appalachia with non‐Appalachian counties. Methods: Data are analyzed for 1,100 counties in 13 Appalachian states that include 420 counties designated as Appalachian by the Appalachian Regional Commission. Area Resource File data for 1976‐1980 and 1996‐2000 provide county‐ and city‐level infant mortality rates, poverty rates, rural‐urban continuum codes, and numbers of physicians per 1,000 residents. Multiple regression analyses evaluate whether Appalachian counties are significantly associated with elevated white infant mortality in each time period, accounting for covariates. Findings: White infant mortality rates decreased substantially in all sub‐regions over the last 2 decades; however, disparities in infant mortality did not diminish in Appalachian counties compared to non‐Appalachian counties. After accounting for poverty, rural/urban status, and health care resources, Appalachian counties were significantly associated with comparatively higher infant mortality during the late 1970s but not in the late 1990s. At the more recent time point, higher poverty rates, residence in more rural areas, and lower physician density were associated with greater infant mortality risk. Conclusion: Appalachian counties continue to experience relatively elevated infant mortality rates. Poverty and rurality remain important dimensions of health service need in Appalachia.     

Difference in rural and urban mortality: implications for health education and promotion.

Rural health care delivery is often inferior to that of urban areas. Although health services do not have to be identical in the two settings, quality services appropriate for the needs of rural communities are imperative. Moreover, health education and promotion should be seen as an immediate and viable strategy for (a) reducing risk factors and health care needs, and (b) increasing the cost effectiveness of existing services. The appropriateness and prioritization of health care services and health education/promotion can only be realized if health professionals are aware of rural versus urban needs. To facilitate our knowledge of such differences, the mortality rates of the 10 leading causes of death were compared for each county in Ohio and differences between rural and urban mortality were analyzed. Counties were categorized according to "density" (persons per square mile) and "percent urban" (percent of county area classified as urban). The analysis demonstrated that there were no significant differences between rural and urban counties in mortality due to cancer, pulmonary disease, diabetes mellitus, atherosclerosis, and suicide. Mortality related to cardiovascular disease, cerebrovascular disease, accidents, and influenza/pneumonia was significantly higher in rural counties, while deaths due to chronic liver disease were significantly greater in urban counties.     

Geographic distribution of deaths due to sentinel health event (occupational) causes

This report describes the Compressed Mortality File available from the National Center for Health Statistics that can be used to easily and efficiently generate annual mortality rates for geographic areas as small as counties for any period from 1968 to 1985. Several ways of presenting geographic variation in mortality rates due to potentially work-related deaths and changes in these rates over time are discussed for the 15-year period from 1969 through 1983. Causes of death that are potentially work-related were identified using the sentinel health events (occupational) [SHE(O)] concept. Data are given for nine diagnostic groups of occupationally related disorders, and maps are presented for bladder cancer, acute myeloid leukemia, and pneumoconioses. Significant changes in age-adjusted mortality rates were noted for pneumoconioses and acute myeloid leukemia that could not be due to changes in the disease coding of death certificates. Racial differences in mortality rates due to pneumoconioses may be due to differences in employment patterns. The use of SHE(O) codes to search the Compressed Mortality File may be helpful in identifying areas for public health concern, even if only as a monitoring signal for subsequent time periods. This file also provides an easy way to generate reference population mortality rates for epidemiologic studies.     

Federal primary health care projects in texas

The rural health strategy of the Bureau of Community Health Services has focused on the integrative mechanism of the Rural Health Initiative (RHI) to combine resources in the best manner to meet local community health needs. An essential component is the National Health Service Corps which provides physicians and other health service personnel both to the RHIs and to free-standing sites.Whether this strategy succeeds or not depends in large measure on the location of the limited health care resources available. In this study, the researchers examined the Bureau's efforts in Texas, a rural conservative state, to place RHIs, NHSC personnel, and other health care projects in areas by priority of need. The basic underlying hypothesis in examining the availability of primary health care services is that the projects would go predominantly into areas with at least three of four need designations defined by the Bureau under positive programming. The baseline used was 1975, just prior to the initiation of the RHI, and 1980 a period sufficiently later to assess progress of the program.The data show the number of federal primary health care projects increased in Texas and the number of projects in areas of highest need also increased. Further, analysis of the data by rural versus urban setting showed the rural areas had increased both in numbers of projects and as a percentage of the total number of projects in the State, suggesting the effectiveness of positive programming.Accessibility to primary health care and physicians for the rural population of more than 2,000,000 people in Texas declined for many years. More recently, however, a number of programs were established to reverse this trend. One of the most important of these, the Rural Health Initiative (RHI), was established by the Bureau of Community Health Services in 1975 to assist in developing the primary health care capacity of underserved rural areas. This article describes the RHI in Texas. It compares the placement of primary health care projects in 1975 and 1980, highlights the growth of selected RHIs, and considers the effect of the private sector of medicine in increasing the number of physicians for rural practice.Research support provided under Personal Service Contract from the Director of the Bureau of Community Health Services, Department of Health and Human Services, 1980.     

A preliminary evaluation of a health monitoring programme in Hungary

BACKGROUND: In 1998 a joint initiative of the Hungarian School of Public Health and the National Public Health Service created a network of sentinel stations based in primary care facilities in four Hungarian counties. The aim was to establish a system that will provide valid data on morbidity of selected diseases in Hungary. METHODS: Based on standardized protocols, the participating centres have continuously reported data on the prevalence of cardiovascular diseases, diabetes mellitus, liver cirrhosis, and some malignant diseases, as well as supplying denominator data. The four counties represent both eastern and western parts of Hungary, reflecting the known geographical disparities in health. Each county office enrolled general practitioners maintaining representation in terms of both geography and distribution of settlement size. RESULTS: A total of 73 general practitioners agreed to participate, providing care for 15.6% (138,088 people) of the population in the counties. The population registered with the practices were representative in terms of age and sex of both the participating counties and the entire country. The prevalence of hypertension, diabetes mellitus and liver cirrhosis is high in each county but varies considerably, with higher levels in the western counties, especially among older age groups of both sexes. CONCLUSIONS: The establishment of sentinel stations to collect morbidity data is feasible and sustainable in Hungarian primary care. The data that have been generated provide a valid and comprehensive picture of important aspects of the Hungarian population's health, with important implications for health policy and health service planning. In regions where low prevalence rates of diseases and high mortality rates simultaneously exist special attention is required to explore the background of this caveat. KEY POINTS: Till the end of 1998 no program operated in Hungary engaged with non-communicable disease morbidity data collection, except some hospital-based registries, which failed to produce reliable information. The establishment of sentinel stations to collect morbidity data is feasible and sustainable in Hungarian primary care, the valid morbidity data can be built into the decision making process in health service planning. Regular training, quality control and feedback are important contributors to the success of the program. The prevalence of hypertension, diabetes mellitus and liver cirrhosis is high in each county but varies considerably, with higher levels in the western counties, especially among older age groups of both sexes. More research needed to determine the possible contribution of unknown morbidity and health service utilisation to the different prevalence values in the two parts of Hungary.     

The Health Effects of Rural-Urban Residence and Concentrated Poverty

This research quantifies the extent to which excess morbidity in rural areas is associated with individual characteristics, county income, and neighborhood poverty. Census geographic codes were assigned to people 25 to 64 years old (n = 176,930) from the National Health Interview Survey, 1989 to 1991, in order to link individuals to the U.S. Department of Agriculture's county urban-rural classification scheme and to 1990 county per capita income and poverty concentration in Census tracts. General health status and limitation of activity were analyzed in logistic and multinomial logit models. Residents of rural counties were at greater risk for health problems compared to residents of metropolitan and central core counties. In adjusted models, the health disadvantage of rural areas was partly explained by differences in population composition. The residual rural disadvantage was concentrated in people with less than a high school education. Tract poverty and county per capita income were also important independent predictors of morbidity. The results of this study suggest that special attention should be paid to improving education in disadvantaged places and to better understanding the ways in which economic growth and its benefits are distributed.