Ethical Disparities: Challenges Encountered by Multidisciplinary Providers in Fulfilling Ethical Standards in the Care of Rural and Minority People

ABSTRACT:  Context: Health care disparities are well documented for people living in rural areas and for people who are members of ethnic minorities. Purpose: Our goal was to determine whether providers report greater difficulty in providing care for rural than urban residents and for ethnic minorities than patients/clients in general in 4 practice areas of ethical relevance: attaining treatment adherence, assuring confidentiality, establishing therapeutic alliance, and engaging in informed consent processes. Methods: We received survey responses from 1,558 multidisciplinary medical and behavioral providers across rural and non-rural areas of New Mexico and Alaska in 2004 to assess a wide range of issues in providing health care. Findings: Providers reported some difficulties in fulfilling various ethical practices for all types of patients, but not more difficulty when caring for minority compared to nonminority patients/clients. However, they do report more frequent additional problems related to the practice issues of treatment adherence, therapeutic alliance, informed consent, and confidentiality with minority patients than others. Difficulties and more frequent additional problems are greater for providers in rural than in non-rural areas. Results generalize across both Alaska and New Mexico with few differences. Conclusions: We obtained evidence for disparity in care for patients/ clients who were minority group members, and clear evidence of disparity for people residing in rural compared to non-rural areas of 2 states with large rural areas.     

Despite improved quality of care in the Veterans Affairs health system, racial disparity persists for important clinical outcomes

Both government and private health care systems have engaged in efforts to improve quality, but the effect of these initiatives on racial and ethnic disparities has not been well studied. In the decade following an organizational transformation, the Veterans Affairs (VA) health care system achieved substantial improvements in quality of care with minimal racial disparities for most process-of-care measures, such as rates of cholesterol screenings. However, in our study we observed a striking disconnect between high levels of performance on widely used process measures and modest levels of improvement in clinical outcomes, such as control of blood pressure, blood glucose, and cholesterol levels. We also observed a gap in clinical outcomes of as much as nine percentage points between African American veterans and white veterans. Almost all of the disparity in outcomes in the VA was explained by within-facility disparity, which suggests that VA medical centers need to measure and address racial gaps in care for their patient populations. Moreover, because cardiovascular disease and diabetes are major contributors to racial disparities in life expectancy, the findings of this study and others underscore the urgency of focused efforts to improve intermediate outcomes among African Americans in the VA and other settings.     

Healthcare Disparities in Hispanic Diabetes Care: A Propensity Score-Matched Study

Hispanics represent the largest minority group in the US. Research has shown that the ethnic minority especially Hispanics have a disproportionate burden of illness associated with diabetes mellitus. However, many have been focused on small sample sizes with potential selection bias. This study aims to examine the ethnicity disparity in health care utilization and expenditures between Hispanic and non-Hispanics after controlling for confounding variables. Cross-sectional with propensity score-matched design. The study revealed that Hispanics with diabetes had higher poverty rates, lower education, less physical activity, and less health care utilization/expenditures than did non-Hispanics. The assessment of ethnicity differences in health care is challenging because of the potential biases that require careful adjustment. This study successfully identified and controlled for confounding bias and concluded the Hispanics disparity in health care utilization still exists.     

Disease Management Programs

Disease management programs in the US were originally developed for the small minority of patients who consumed a large portion of healthcare resources, were complex cases to manage, or had specific chronic conditions. Although they vary in structure and are hard to describe with a single definition they usually contain one or more core components which may include the use of evidence-based practice guidelines, integrated information systems, and continuous quality improvement activities and processes. The literature describing disease management program outcomes and cost savings has been lacking, and published results tend to lack rigorous scientific discipline.The future and success of disease management will be measured by the efficacy of programs that impact the needs of individuals who have multiple chronic conditions. New second-generation programs will be designed around population-based methods to identify individuals with chronic illnesses, a primary care team that provides individualized medical management, documentation of outcomes beyond traditional utilization and cost measures, and quality improvement processes that identify areas for improvement through integrated information technology systems. In 2002, the Center for Medicare and Medicaid Services will begin operation of the Medicare Coordinated Care Demonstration project, a 4-year study to test whether combined disease and case management programs can improve clinical outcomes, satisfaction, quality of life, and cost outcomes for beneficiaries with multiple chronic conditions. If the demonstration is successful it has the possibility of placing second-generation disease management programs at the forefront of chronic illness management.     

Can America’s Urban Safety Net Systems be a Solution to Unequal Treatment?

Eliminating disparities in care for racial and ethnic minorities remains a challenge in achieving overall quality health care. One approach to resolving issues of inequity involves utilizing an urban safety-net system to address preventive and chronic care disparities. An analysis was undertaken at Denver Health (DH), an urban safety net which serves 150,000 patients annually, of which 78% are minorities and 50% uninsured. Medical charts for 4,795 randomly selected adult patients at ten DH-associated community health centers were reviewed between July 1999 and December 2001. Logistic regression was used to identify differences between racial/ethnic groups in cancer screening, blood pressure control, and diabetes management. No disparities in care were found, and in most instances, the quality of care met or exceeded available benchmarks, leading us to conclude that treatment in urban integrated safety net systems committed to caring for minority populations may represent one approach to reducing disparity.     

Gender disparities in cardiovascular disease care among commercial and medicare managed care plans.

BACKGROUND: Gender disparities in cardiovascular care have been documented in studies of patients, but little is known about whether these disparities persist among managed health care plans. This study examined 1) the feasibility of gender-stratified quality of care reporting by commercial and Medicare health plans; 2) possible gender differences in performance on prevention and treatment of cardiovascular disease in US health plans; and 3) factors that may contribute to disparities as well as potential opportunities for closing the disparity gap. METHODS: We evaluated plan-level performance on Healthcare Effectiveness Data and Information Set (HEDIS) measures using a national sample of commercial health plans that voluntarily reported gender-stratified data and for all Medicare plans with valid member-level data that allowed the computation of gender-stratified performance data. Key informant interviews were conducted with a subset of commercial plans. Participating commercial plans in this study tended to be larger and higher performing than other plans who routinely report on HEDIS performance. RESULTS: Nearly all Medicare and commercial plans had sufficient numbers of eligible members to allow for stable reporting of gender-stratified performance rates for diabetes and hypertension, but fewer commercial plans were able to report gender-stratified data on measures where eligibility was based on recent cardiac events. Over half of participating commercial plans showed a disparity of >/=5% in favor of men for cholesterol control measures among persons with diabetes and persons with a recent cardiovascular procedure or heart attack, whereas no commercial plans showed such disparities in favor of women. These gender differences favoring men were even larger for Medicare plans, and disparities were not linked to health plan performance or region. CONCLUSIONS AND DISCUSSION: Eliminating gender disparities in selected cardiovascular disease preventive quality of care measures has the potential to reduce major cardiac events including death by 4,785-10,170 per year among persons enrolled in US health plans. Health plans should be encouraged to collect and monitor quality of care data for cardiovascular disease for men and women separately as a focus for quality improvement.     

Rural Demographics Racial/Ethnic Diversification in Metropolitan and Nonmetropolitan Population Change in the United States: Implications for Health Care Provision in Rural America

The diversification of the rural population of the United States provides substantial challenges to the current and to future health care systems in rural areas. Because of a variety of historical, discriminatory, and other factors, minority populations have had lower levels of access to health care in rural as well as urban areas and higher rates of both mortality and morbidity than nonminority populations. Although minority health issues have often been seen as primarily urban issues, this article demonstrates that minority population growth has become a major component of total population growth in rural areas in the past several decades (accounting for nearly 62% of the net growth in the nonmetropolitan population of the United States in the 1980s and for nearly 42% in the 1990s), that future US population growth is likely to be largely a product of minority population growth (nearly 89% of US net population growth from 2000 to 2100 is projected to be due to minority population growth), and that the incidence of diseases and disorders in the US population will come to increasingly involve minority populations (by 2050 roughly 43% of all disease/disorder incidences would involve minority population members). The growth of younger minority populations with disproportionately impoverished socioeconomic characteristics will pose challenges for rural areas and health care systems, which also are likely to face health issues created by disproportionately older populations.     

Standardized mortality ratios by region of residence, Israel, 1987-1994: a tool for public health policy

BACKGROUND: Standardized mortality ratios (SMRs) are used internationally to compare health status across regions and to identify high risk areas for investigation of specific diseases, for funding determination, and for planning purposes. OBJECTIVE: To ascertain regional differences in SMRs by sub-District in Israel for 1987-1994. METHOD: The indirect method of standardization of mortality rates with adjustment for age, gender, and continent of birth was used to calculate SMRs by major cause of death, by sub-District of residence for the Jewish population of Israel. RESULTS: SMRs for all causes of death ranged from regions with low rates (Petah Tikva, Sharon, Rehovot, Ashkelon, and Jerusalem) to those with high rates (Zefat/Golan, Hadera, Yizreel, Ramla, Haifa, Tel Aviv, and Be'er Sheva) (all p<0.0001). Zefat's SMRs are elevated for acute myocardial infarction, stroke, diabetes, and motor vehicle accidents (MVAs). Haifa's SMRs are high for all cardiovascular diseases, liver disease, MVAs, and lung cancer. Be'er Sheva residents had high SMRs for diabetes, liver disease, MVAs, some categories of cardiovascular disease, cervical cancer, and homicide. Yizreel had high SMRs for diabetes, hypertension, stroke, liver disease, and MVAs. Tel Aviv had elevated SMRs for septicemia, acute MI, perinatal causes, and colon, lung and breast cancer. Jerusalem (p<0.0001) and Kinneret residents (p<0.05) had low SMRs for everything except congenital anomalies. CONCLUSIONS: Regional SMR differences, adjusted for age, gender, and ethnicity, may be due to socioeconomic, nutritional, environmental, occupational, or health care factors. SMRs provide a tool to identify regions for epidemiological investigation and priorities for preventive interventions. Regional health monitoring should be undertaken routinely on mortality data, as well as other national databases, as part of national health monitoring.     

Use of Medicare services related to diabetes care: the impact of rural isolation

ABSTRACT: This study used Medicare data for people living in New South Wales (NSW) (1993–1997) to examine the impact of rural isolation on the utilisation of diabetes health care services. The relative odds of attending a specialist was slightly higher for people in urban areas when compared to their rural counterparts but reached as high as 1.85 in regard to attendance to consultant physicians. Surveillance of diabetes parameters over the 5 year period showed greatest improvement in rural areas. The proportion of patients each year with glycaemic control assessed by quantification of glycosylated haemoglobin (HbA1c) or renal function and vascular risk by micro-albuminuria estimation rose to 57.4% and 12.3%, respectively, in rural areas compared to 55.2% and 11.3% in major urban areas. This study has shown that the level of monitoring in rural areas is equal to urban areas, despite decreased access to medical care, highlighting the vital role GPs play in diabetes management in rural NSW.     

Children's mental health care: differences by race/ethnicity in urban/rural areas

This study examines racial/ethnic disparities in children's mental health and the receipt of mental health services, and whether those disparities differ between urban and rural areas. We find no significant difference between racial/ethnic groups in the prevalence of child mental health problems in either urban or rural areas. However, there are disparities in the use of mental health services. Hispanic children and Black children in urban areas receive less mental health care than their White counterparts, and the disparity persists for Hispanic children in rural areas, even after controlling for other relevant factors. Initiatives to improve access to mental health care for racial/ethnic minorities should recognize these disparities, and address the lack of culturally appropriate services in both urban and rural areas. In addition, outreach should raise awareness among parents, teachers, and other community members concerning the need for mental health services for minority children.     

Health claims data as a strategy and tool in disease management

A comprehensive definition of disease management provides an opportunity to track a population of patients across the entire continuum of a condition, from wellness through disease and disability, so that improvements in health status and quality of life and efficiencies in the application of health care resources can be demonstrated. The need is great for information systems that can computerize clinical encounter, summarize, and apply the information to help identify opportunities for improvement in the performance of quality and cost control, monitor processes of care, and report outcomes that are meaningful to the organization. By tracking health care charges as a proxy for the application of health care resources, health claim data analyses can identify conditions for disease management, facilitate provider buy-in, develop the disease management program, monitor interventions, and report outcomes.     

Disparities in hospital utilization in an urban county: use of local consumer marketing data for priority setting.

National data sets are often insufficient for priority setting by local public health systems and the communities they serve. We used marketing data to conduct an ecological analysis of hospital discharge rates in DeKalb County, Georgia, during 1996. Persons living in poorer areas had significantly higher discharge rates for the following conditions: hypertensive disease, blood-related conditions, pneumonia/influenza, diabetes, and chronic obstructive pulmonary diseases. Local marketing data helped identify conditions associated with higher hospital utilization in poorer areas of this urban county. This identification of priority issues informs plans for behavior modification, access to primary care and a healthy environment.     

Health status differentials across rural and remote Australia

This paper describes mortality and disease patterns across five broad remoteness categories of Australia, with reference to the context in which those outcomes develop and are treated.
Health and its outcomes become worse as remoteness increases. Some of this phenomenon reflects proportionally greater numbers of Aboriginal and Torres Strait Islander people in remote areas coupled with their poorer overall health outcomes; however, mortality for non-indigenous people is clearly higher outside compared with inside major cities. Migration of people seeking services likely reduces the size of interregional health disparity.
Poorer health outcomes stem from worse risk factor profiles and average lower levels of income and of education, poorer physical and financial access to services, higher occupational and environmental risk, as well as factors unique to Aboriginal and Torres Strait Islander health. Little is known about the health benefits of living outside major cities.
Diseases of the circulatory system and injuries account, respectively, for 40% and 18% of the excess mortality outside major cities.
Death rates are declining over time in all (particularly remote) areas, but rates of death due to certain lung diseases in rural women are not, and rates of suicide have increased in remote areas.
Ostensibly, prevalence of mental ill-health appears roughly similar in all remoteness areas. Dental health is poorer and disability is more prevalent outside major cities, as are a range of infectious diseases.
Although pertinent, the effects on rural health of climate change and resource degradation generally have not been addressed in this paper.     

Reducing health disparities: strategy planning and implementation in Israel's largest health care organization

Objective. To describe an organization‐wide disparity reduction strategy and to assess its success in quality improvement and reduction of gaps in health and health care. Study Setting. Clalit Health Services, Israel's largest non‐for‐profit insurer and provider serving 3.8 million persons. Study Design. Before and after design: quality assessment before and 12‐month postinitiation of the strategic plan. A composite weighted score of seven quality indicators, measuring attainment of diabetes, blood pressure, and lipid control, lack of anemia in infants, and performance of mammography, occult blood tests, and influenza vaccinations. Data Extraction Methods. Quality indicator scores, derived from Clalit's central data warehouse, based on data from electronic medical records. Principal Findings. Low‐performing clinics, of low‐socioeconomic and minority populations, were targeted for intervention. Twelve months after the initiation of the project continuous improvement was observed coupled with a reduction of 40 percent of the gap between disadvantaged clinics, serving ～10 percent of enrollees, and all other medium‐large clinics. Conclusion. The comprehensive strategy, following a quality improvement framework, with a top‐down top‐management incentives and monitoring, and a bottom‐up locally tailored interventions, approach, is showing promising results of overall quality improvement coupled with disparity reduction in key health and health care indicators.     

Health care utilization and self-care behaviors of Medicare beneficiaries with diabetes: comparison of national and ethnically diverse underserved populations

Caring for persons with diabetes is expensive, and this burden is increasing. Little is known about service use, behaviors, and self-care of older individuals with diabetes who live in underserved communities. Information about self-care, informal care, and service utilization in urban (largely Latino, n = 695) and rural (mostly white, n = 819) Medicare beneficiaries with diabetes living in federally designated medically underserved areas was collected using computer-aided telephone interviews as part of the baseline assessment in the Informatics and Diabetes Education and Telemedicine (IDEATel) Project. Where items were comparable, service use was compared with that of a nationally representative group of Medicare beneficiaries with diabetes, using data from the Medical Expenditure Panel Survey. Compared to nationally representative groups, the underserved groups reported worse general health but similar health care service use, with the exception of home care. However, compared to the underserved rural group, the underserved, largely minority urban group, reported worse general health (P < 0.0001); more inpatient nights (P = 0.003), emergency room visits (P < 0.001), and home health care (P < 0.001); spent more time on self-care; and had more difficulty with housework, meal preparation, and personal care. Differences in service use between urban and rural groups within the underserved group substantially exceeded differences between the underserved and nationally representative groups. These findings address a gap in knowledge about older, ethnically diverse individuals with diabetes living in medically underserved areas. This profile of disparate service use and health care practices among urban minority and rural majority underserved adults with diabetes can assist in the planning of future interventions.     

A Program to reduce the disparity in the rate of biennial lipid profiles between african-american and white medicare beneficiaries with diabetes mellitus in new york city

The burden of diabetes is more severe for minority populations than for the white population in the United States. Analysis of Medicare fee-for-service claims data revealed a significant disparity regarding screening for lipids between white and African-American Medicare beneficiaries with diabetes as measured by the biennial lipid profile indicator in New York State and the disparity was even greater in New York City. Thus IPRO, the Medicare New York State Quality Improvement Organization, launched a multifaceted quality improvement project to reduce the disparity, targeting African-American Medicare beneficiaries with diabetes in New York City and the providers who serve them. There was an absolute increase of 16.7% in the proportion of African-American beneficiaries with diabetes receiving a biennial lipid profile in the intervention areas and the disparity reduced by 9.8% between African-American and all eligible white beneficiaries in the intervention areas. Although it was not feasible to determine the direct impact of selected interventions on reducing the disparity, the interventions collectively appeared to be effective.Terry Mahotière, MD, MPH is a medical officer at IPRO; Katja Ocepek-Welikson, MPhil, is a project manager/analyst at IPRO, Maryanne B. Daley, RN, BSN, is a project manager at IPRO; Johan P. Byssainthe, MPH is a performance improvement coordinator at IPRO.     

Quality of diabetes care among low-income patients in North Carolina.

BACKGROUND: Diabetes is a leading cause of death and disability, disproportionately affecting most ethnic minority groups, people of low socioeconomic status, the elderly, and people in rural areas. Despite the availability of evidence-based clinical recommendations, barriers exist in the delivery of appropriate diabetes care. The purpose of this study is to examine the level of diabetes care among low-income populations in North Carolina. METHODS: Baseline medical record abstractions were performed (N=429) on diabetic patients at 11 agencies serving low-income populations (community health centers, free clinics, primary care clinics, and public health clinics) across the state participating in a quality-of-diabetes-care initiative. Data were collected for four process (measurement of glycosylated hemoglobin and lipids, dilated eye examination, nephropathy assessment) and two outcome (glycemic and lipid control) measures based on the Diabetes Quality Improvement Project (DQIP) and the Health Plan Employer Data and Information Set (HEDIS), and three additional indicators (blood pressure measurement and control, and lower limb assessment). Compliance rates to individual measures were calculated overall and by demographic and health characteristics. RESULTS: Diabetes care compliance rates ranged from 77.9% for blood pressure testing to 3.3% for complete foot examinations. Differences in care were observed by age, insulin use, and prevalent disease. CONCLUSIONS: This study indicates low compliance with diabetes care guidelines in underserved North Carolinians, and inconsistency of care according to some demographic and health characteristics. These results stress the need for quality improvement initiatives that enhance the level of care received by patients with diabetes, particularly those most vulnerable to diabetes and its complications.     

Identifying workers at risk for high health care expenditures: a short questionnaire.

The objective of this study was to create and measure the predictive accuracy of a brief questionnaire for screening new workers to identify those at increased risk for generating high health care insurance expenditures during the following year. Such an instrument could help health plans and providers intervene to mitigate the health risks of identified high-risk workers. We mailed a 53-item questionnaire to members of a "derivation cohort" (adult food processing workers, n = 15496) and obtained records of the eligible respondents' health insurance expenditures during the following year. Using multiple linear regression, we identified eight of the questions that predicted future expenditures most accurately, and created a formula to predict total expenditures from answers to these questions. To validate the formula's predictive accuracy, we used the eight-item questionnaire to survey two "validation cohorts" (transportation workers, n = 7445; and their dependents, n = 5562), inserted responses into the scoring formula, classified respondents into high-risk (top 10%) or low-risk (lower 90%) groupings, and then compared health insurance expenditures generated by the high- and low-risk groups during the following year. In the derivation cohort, age, sex, regular use of medications, frequent visits to physicians, and having arthritis, diabetes, cancer, or high cholesterol predicted future health care expenditures. In the worker and dependent validation cohorts, the respondents classified by the formula as high-risk generated insurance expenditures during the following year that were 2.4 and 1.8 times greater than those generated by the members of the low-risk groups (p < 0.001). An eight-item questionnaire and its scoring formula can identify high-risk groups of workers that will generate high health care expenditures during the following year. Healthcare organizations could use this questionnaire to help target new workers for care management and disease management interventions.     

Using psychological theory to understand the clinical management of type 2 diabetes in Primary Care: a comparison across two European countries

Background  

Long term management of patients with Type 2 diabetes is well established within Primary Care. However, despite extensive efforts to implement high quality care both service provision and patient health outcomes remain sub-optimal. Several recent studies suggest that psychological theories about individuals' behaviour can provide a valuable framework for understanding generalisable factors underlying health professionals' clinical behaviour. In the context of the team management of chronic disease such as diabetes, however, the application of such models is less well established. The aim of this study was to identify motivational factors underlying health professional teams' clinical management of diabetes using a psychological model of human behaviour.     

Violence against Canadian Women

HEALTH ISSUE: Exposure to violence as children or as adults places a woman at higher risk of poor health outcomes, both physical and psychological. Abused women use more health care services and have poorer social functioning than non-abused women. Knowledge of the prevalence of violence against women, and of which women are at risk, should assist in the planning of services for abuse prevention and treatment of the health consequences of abuse. KEY FINDINGS: The highest rates of any partner violence were in Alberta (25.5%) and British Columbia (23%). The lowest rates were in Ontario (18.8%). Women aged 15-24 had the highest rates in all regions in Canada, compared with older women. Aboriginal women in Manitoba/Saskatchewan and Alberta had higher rates of violence (57.2% and 56.6% respectively) than non-Aboriginal women (20.6%). Lower rates of partner-related violence were reported among women not born in Canada (18.4%) than among Canadian-born women (21.7%). Visible minority women reported lower rates of lifetime sexual assault (5.7%) than non-visible minority women (12.3%). Perceptions of violence may vary by ethnicity. DATA GAPS AND RECOMMENDATIONS: More information is required concerning the prevalence of violence among Aboriginal women, immigrant and refugee women, women with disabilities, lesbian women and pregnant women. Future national population-based surveys need better questions on the health consequences of violence and related resource utilization. Further research is needed to identify the health care system's role in prevention, management and rehabilitation as they relate to violence against women. Future programs and policies must be based on valid, reliable and comprehensive empirical data.