Practicing Preventive Health: The Underlying Culture Among Low-Income Rural Populations

Context: Health disparities on the basis of geographic location, social economic factors and education levels are well documented. However, even when health care services are available, there is no guarantee that all persons will take preventive health measures. Understanding the cultural beliefs, practices, and lifestyle choices that determine utilization of health services is an important factor in combating chronic diseases. Purpose: The purpose of this study was to investigate personal, cultural, and external barriers that interfered with participating in a community-based preventive outreach program that included health screening for obesity, diabetes, heart diseases, and hypertension when cost and transportation factors were addressed. Methods: Six focus groups were conducted in a rural community of Louisiana. Focus groups were divided into 2 categories: participants and nonparticipants. Three focus groups were completed with Dubach Health Outreach Project (DUHOP) participants and 3 were completed with nonparticipants. The focus group interviews were moderated by a researcher experienced in focus group interviews; a graduate student assisted with recording and note-taking during the sessions. Findings: Four main themes associated with barriers to participation in preventive services emerged from the discussions: (1) time, (2) low priority, (3) fear of the unknown, and (4) lack of companionship or support. Health concerns, free services, enjoyment, and free food were identified as motivators for participation. Conclusions: The findings of this study indicated that the resulting synergy between low-income status and a lack of motivation regarding health care prevention created a complicated practice of health care procrastination, which resulted in unnecessary emergency care and disease progression. To change this practice to proactive disease prevention and self care, a concerted effort will need to be implemented by policy makers, funding agents, health care providers, and community leaders and members.     

Health Care Coverage and the Health Care Industry

Objectives. We examined rates of uninsurance among workers in the US health care workforce by health care industry subtype and workforce category.Methods. We used 2004 to 2006 National Health Interview Survey data to assess health insurance coverage rates. Multivariate logistic regression analyses were conducted to estimate the odds of uninsurance among health care workers by industry subtype.Results. Overall, 11% of the US health care workforce is uninsured. Ambulatory care workers were 3.1 times as likely as hospital workers (95% confidence interval [CI] = 2.3, 4.3) to be uninsured, and residential care workers were 4.3 times as likely to be uninsured (95% CI = 3.0, 6.1). Health service workers had 50% greater odds of being uninsured relative to workers in health diagnosing and treating occupations (odds ratio [OR] = 1.5; 95% CI = 1.0, 2.4).Conclusions. Because uninsurance leads to delays in seeking care, fewer prevention visits, and poorer health status, the fact that nearly 1 in 8 health care workers lacks insurance coverage is cause for concern.For complex socioeconomic reasons, private health insurance, typically provided by an employer, is “the dominant mechanism for paying for health services” in the United States.^1(p79) According to the Kaiser Commission on Medicaid and the Uninsured and the Urban Institute, analyses of data from the Current Population Survey (CPS) show that, in 2006, 54% of the US civilian, noninstitutionalized population had employer-sponsored health insurance; 5% had private, nongroup health insurance; and 26% had public health insurance coverage. Approximately 46 million US residents (16% of the population) are currently uninsured.² Numerous studies have shown that, relative to people with health insurance, uninsured people receive less preventive care, are diagnosed at more advanced disease stages, and, once diagnosed, tend to receive less therapeutic care and have higher mortality rates.^3–8Although national uninsurance trends are well-documented, the rate of uninsurance within the health care workforce has received scant attention. Given that health care employment rates are increasing at a more rapid pace than overall employment rates, this lack of attention is especially worrisome. According to the Bureau of Labor Statistics, nearly half of the 30 occupations in which employment opportunities are growing fastest are health care occupations. For example, whereas the Bureau of Labor Statistics projects that overall employment will increase about 10% from 2006 to 2016, employment opportunities for personal and home care aides are projected to increase nearly 51%, and opportunities for physical therapist assistants are expected to increase by a third. The Bureau of Labor Statistics also projects that, by 2016, new job opportunities for registered nurses will increase by approximately 24% (approximately 587 000 new jobs).⁹Although the overall employment outlook for health care workers is promising, what is less clear is to what degree employment in health care is associated with health insurance coverage. A 2001 General Accounting Office report suggested that one fourth of nursing home aides and one third of home health care aides were uninsured.¹⁰ The Kaiser Family Foundation reported that the uninsured rate among workers in the health and social services industry was 23% in 2007.¹¹ On the basis of a review of the literature in the health and human services occupations, Ebenstein concluded that the health insurance plans offered to direct care workers in the developmental disabilities field are “inferior … with less coverage and more out-of-pocket expenses” and that fewer direct care workers “are able to afford health coverage even if they are eligible.”^12(p132)Taking a more comprehensive look at the US health care workforce, Himmelstein and Woolhandler¹³ used 1991 CPS data to estimate uninsurance rates among physicians and other health care personnel. They reported that, overall, 9% of health care workers were uninsured, along with more than 20% of nursing home workers. Examining CPS data from 1988 to 1998, Case et al. found that uninsurance rates among all health care workers rose from 8% to 12%, that rates increased more for health care workers than for workers in other industries, and that rates differed according to occupation and place of employment.¹⁴ For example, occupation-specific uninsurance rates were 23.8% among health aides, 14.5% among licensed practical nurses, and 5% among registered nurses, whereas place-specific rates were 20% among nursing home workers, 8.7% among medical office workers, and 8.2% among hospital workers.¹⁵In their studies, Himmelstein and Woolhandler¹³ and Case et al.¹⁴ used national-level data to estimate uninsurance trends among health care workers. However, these trends were not adjusted for health care workers'' social, demographic, or economic characteristics, which would have helped explain variation across categories or over time. Moreover, with the growth of the health care workforce, estimates from these older studies probably do not reflect the current situation. As a result, the picture of uninsurance as it pertains to the health care workforce lacks the precision and currentness necessary for sound policy decisions. In an effort to expand knowledge in this area, produce more up-to-date estimates, and provide support for possible policy decisions, we used data from the National Health Interview Survey (NHIS) to examine uninsurance among workers in the health care industry.     

Health Coverage of Low-Income Citizen and Noncitizen Wage Earners: Sources and Disparities

The health coverage of low-income workers represents an area of continuing disparities in the United States system of health insurance. Using the 2001 California Health Interview Survey, we estimate the effect of low-income wage earners’ citizenship and gender on the odds of obtaining primary employment-based health insurance (EBHI), dependent EBHI, public program coverage, and coverage from any source. We find that noncitizen men and women who comprise 40% of California’s low-income workforce, share the disadvantage of much lower rates of insurance coverage, compared to naturalized and U.S.-born citizens. However, poor coverage rates of noncitizen men, regardless of permanent residency status, result from the cumulative disadvantage in obtaining dependent EBHI and public insurance. If public policies designed to provide a health care safety net fail to address the health care coverage needs of low-wage noncitizens, health disparities will continue to increase in this group that contributes essentially to the U.S. economy.     

Obesity in US workers: The National Health Interview Survey, 1986 to 2002

OBJECTIVES: Obesity has emerged as one of the most important public health issues in the United States. We assessed obesity prevalence rates and their trends among major US occupational groups. METHODS: Self-reported weight and height were collected annually on US workers, aged 18 years or older, from the 1986 to 1995 and the 1997 to 2002 National Health Interview Surveys. Overall, occupation-, race-, and gender-specific rates of obesity (defined as a body mass index>30.0 kg/m2) were calculated with data pooled from both study periods (n>600,000). Annual occupation-specific prevalence rates were also calculated, and their time trends were assessed. RESULTS: Obesity rates increased significantly over time among employed workers, irrespective of race and gender. The average yearly change increased from 0.61% (+/-.04) during the period from 1986 to 1995 to 0.95% (+/-.11) during the period from 1997 to 2002. Average obesity prevalence rates and corresponding trends varied considerably across occupational groups; pooled obesity prevalence rates were highest in motor vehicle operators (31.7% in men; 31.0% in women). CONCLUSIONS: Weight loss intervention programs targeting workers employed in occupational groups with high or increasing rates of obesity are urgently needed.     

Occupational Health Services in Manufacturing Industries in Nigeria

The provision of adequate health care facilities to cater forthe health of workers is an important consideration in the managementof manufacturing industries, since productivity is dependenton the health status of the workers. There are very few studiesevaluating the health care provision in Nigerian industries.This study elucidates such health care services in Edo and DeltaStates of Nigeria. One hundred and thirty-five (56%) of the241 registered manufacturing industries in Edo and Delta Statesof Nigeria were randomly selected and investigated. The responserate was 91.1% and the result showed that the medical staffcomprised 2.5% of the total workforce, with the large scaleindustries contributing the highest proportion of these. Fourpoint five per cent of the medical staff had formal trainingin occupational health and 15.6% of them visited the factoryshop floor. The doctor:staff ratio in the medium and large scaleindustries were 1:819 and 1:618 respectively. It was found thatall the industries used the health care facilities providedby the government, there were no clinics in all the small scaleindustries and group practice was not used by any of the industriesstudied. Pre-employment medical examinations were carried outin each of the groups of industries (100%, 39.4% and 5%) respectively,as were periodic medical examinations during employment, althoughto a lesser extent (100%, 13.2%, 0%) for the large, medium andsmall scale industries respectively. These finding suggest theavailability of a reasonable standard of health care provisionfor large scale industries and somewhat less availability formedium and small scale industries. Health education of boththe employers of labour, and the employees and the enforcementof existing laws are needed to improve the existing standardof occupational health services.     

Peer Reviewed: Effect of Socioeconomic Status on Weight Change Patterns in Adolescents

Introduction

Although socioeconomic differences in prevalence of obesity are well documented, whether patterns of weight gain during key periods of growth and development differ among youth from different socioeconomic backgrounds is unknown. This study examines socioeconomic disparities in overweight status and 5-year weight gain among adolescents.

Methods

Project EAT (Eating Among Teens)-II followed a socioeconomically and ethnically diverse sample of 2,516 adolescents from 1999 through 2004. Mixed-model regression analyses examined longitudinal trends in overweight status as a function of socioeconomic status (SES).

Results

Girls and boys in the low-SES category were more likely to be overweight than were those in the high-SES category. Boys in the high-SES category showed a significant decrease (P = .006) in overweight prevalence between 1999 and 2004, whereas boys in the low- and middle-SES categories showed no significant change. Girls in the low-SES category showed a significant 5-year increase (P = .004) in overweight prevalence compared with a stable prevalence of overweight among girls in the middle- and high-SES categories.

Conclusion

Our data show continued and, in some cases, increasing socioeconomic disparities in risk for overweight. Youth from low-SES backgrounds are at increased risk for overweight and are more likely to remain overweight (boys) or become overweight (girls). Designing obesity prevention and treatment interventions that reach and address the unique needs of youth and families from less-advantaged socioeconomic backgrounds is a public health priority.     

Health disparities among adults with developmental disabilities, adults with other disabilities, and adults not reporting disability in North Carolina

OBJECTIVES: The purposes of this study were (1) to identify disparities between adults with developmental disabilities and non-disabled adults in health and medical care, and (2) to compare this pattern of disparities to the pattern of disparities between adults with other disabilities and adults without disabilities. METHODS: The authors compared data on health status, health risk behaviors, chronic health conditions, and utilization of medical care across three groups of adults: No Disability, Disability, and Developmental Disability. Data sources were the 2001 North Carolina Behavioral Risk Factor Surveillance System and the North Carolina National Core Indicators survey. RESULTS: Adults with developmental disabilities were more likely to lead sedentary lifestyles and seven times as likely to report inadequate emotional support, compared with adults without disabilities. Adults with disabilities and developmental disabilities were significantly more likely to report being in fair or poor health than adults without disabilities. Similar rates of tobacco use and overweight/obesity were reported. Adults with developmental disabilities had a similar or greater risk of having four of five chronic health conditions compared with non-disabled adults. Significant medical care utilization disparities were found for breast and cervical cancer screening as well as for oral health care. Adults with developmental disabilities presented a unique risk for inadequate emotional support and low utilization of breast and cervical cancer screenings. CONCLUSIONS: Significant disparities in health and medical care utilization were found for adults with developmental disabilities relative to non-disabled adults. The National Core Indicators protocol offers a sound methodology to gather much-needed surveillance information on the health status, health risk behaviors, and medical care utilization of adults with developmental disabilities. Health promotion efforts must be specifically designed for this population.     

The double burden on safety net providers: placing health disparities in the context of the privatization of health care in the US

The US Institute of Medicine's (IOM) influential 2003 report has focused attention on disparities in treatment outcomes and health status for American minorities, zeroing in on the role of unconscious bias in the unequal clinical disposition of minority patients. In keeping with the IOM's focus, current examinations of health disparities in the US tend to explore bias in clinical decision-making to the neglect of the political economic trends that buffet health care safety net sites and create the need for financial shortcuts. This paper recontextualizes the study of health disparities in the US by placing it against the backdrop of private sector trends emphasizing fiscal austerity and increased workforce productivity in health care. The social science literature on workers in human service bureaucracies, only recently applied to health care workers, suggests that higher demands for system "accountability" and worker "efficiency" may encourage providers to take shortcuts by treating individuals as mass categories. This ethnography of a Latino mental health clinic in the Northwestern USA shows that new private-sector measures of "productivity" take a toll on both the Latina clinicians whose invisible work subsidizes the system as well as on particular categories of patients--the uninsured and immigrants with serious psychosocial issues. While clinicians attempt to buffer the impacts of such reforms on patients, they also resort to means to increase their productivity such as firing repeated no-show patients and denial of care to the uninsured. This study is relevant for the health care of the poor in all health care systems considering restructuring along managerial principles to increase system 'efficiencies.'     

The Contribution of Health Literacy to Disparities in Self-Rated Health Status and Preventive Health Behaviors in Older Adults

PURPOSE Health literacy is associated with a range of poor health-related outcomes. Evidence that health literacy contributes to disparities in health is minimal and based on brief screening instruments that have limited ability to assess health literacy. The purpose of this study was to assess whether health literacy contributes, through mediation, to racial/ethnic and education-related disparities in self-rated health status and preventive health behaviors among older adults.METHODS We undertook a cross-sectional study of a nationally representative sample of 2,668 US adults aged 65 years and older from the 2003 National Assessment of Adult Literacy. Multiple regression analysis was used to assess for evidence of mediation.RESULTS Of older adults in the United States, 29% reported fair or poor health status, and 27% to 39% reported not utilizing 3 recommended preventive health care services in the year preceding the assessment (influenza vaccination 27%, mammography 34%, dental checkup 39%). Health literacy and the 4 health outcomes (self-rated health status and utilization of the 3 preventive health care services) varied by race/ethnicity and educational attainment. Regression analyses indicated that, after controlling for potential confounders, health literacy significantly mediated both racial/ethnic and education-related disparities in self-rated health status and receipt of influenza vaccination, but only education-related disparities in receipt of mammography and dental care.CONCLUSIONS Health literacy contributes to disparities associated with race/ethnicity and educational attainment in self-rated health and some preventive health behaviors among older adults. Interventions addressing low health literacy may reduce these disparities.     

A collaborative approach to embedding graduate primary care mental health workers in the UK National Health Service

The UK National Health Service (NHS) workforce has recently seen the arrival of the Graduate Mental Health Worker (GMHW) in primary care. We established a Quality Improvement Collaborative to assist in embedding this new workforce in one Strategic Health Authority Area of England. The intervention utilised 'collaborative' technology which involves bringing together groups of practitioners from different organizations to work in a structured way to improve the quality of their service. The process was evaluated by an action research project in which all stakeholders participated. Data collection was primarily qualitative. During the project, there was an increase in throughput of new patients seen by the GMHWs and increased workforce satisfaction with a sense that the collaborative aided the change process within the organizations. Involvement of managers and commissioners from the Primary Care Trusts where the GMHWs were employed appeared to be important in achieving change. This was not, however, sufficient to combat significant attrition of the first cohort of workers. The project identified several barriers to the successful implementation of a new workforce for mental health problems in primary care, including widespread variation in the level and quality of supervision and in payment and terms of service of workers. A collaborative approach can be used to support the development of new roles in health care; however, full engagement from management is particularly necessary for success in implementation. The problems faced by GMHWs reflect those faced by other new workers in healthcare settings, yet in some ways are even more disturbing given the lack of governance arrangements put in place to oversee these developments and the apparent use of relatively unsupported and inexperienced novices as agents of change in the NHS.     

Professional Competencies and Training Needs of Professional Social Workers in Integrated Behavioral Health in Primary Care

The Affordable Care Act has led to a widespread movement to integrate behavioral health services into primary care settings. Integrated behavioral health (IBH) holds promise for treating mild to moderate psychiatric disorders in a manner that more fully addresses the biopsychosocial spectrum of needs of individuals and families in primary care, and for reducing disparities in accessing behavioral health care. For behavioral health practitioners, IBH requires a shift to a brief, outcome-driven, and team-based model of care. Despite the fact that social workers comprise the majority of behavioral health providers in IBH settings, little research has been done to assess the extent to which social workers are prepared for effective practice in fast-paced primary care. We conducted a survey of social workers (N = 84) in IBH settings to assess the following: (1) Key competency areas for social work practice in IBH settings and (2) Self-rated preparedness for effective practice in IBH settings. Online snowball sampling methods were used over a period of 1 month. Results indicate that social workers feel prepared for general practice in IBH settings, but would benefit from additional training in IBH-specific competency areas identified in the survey. Findings can help guide social work training to improve workforce preparedness for practice in IBH settings in the wake of health care reform.     

Opposing socioeconomic gradients in overweight and obese adults

Objective: Investigate the relationship between socioeconomic status (SES) and prevalence of overweight and/or obesity, by sex, using total annual household income as the indicator of SES and the World Health Organization (WHO) recommended ranges of self‐reported Body Mass Index (BMI) as the indicator of overweight and/or obesity. Methods : Total annual household income and BMI data were obtained from the Victorian Population Health Survey (VPHS), an annual computer‐assisted telephone survey of the health and well‐being of Victorian adults aged 18 years and older. Statistical analysis was conducted using ordinary least squares linear regression on the logarithms of age‐standardised prevalence estimates of overweight (25.0–29.9 kg/m²), obesity (≥30.0 kg/m²), and overweight and obesity combined (≥25.0 kg/m²), by income category and sex. Results: Typical SES gradients were observed in obese males and females, where the prevalence of obesity decreased with increasing income. No SES gradient was observed in overweight females, however, a reverse SES gradient was observed in overweight males, where the prevalence of overweight increased with increasing income. Combining the overweight and obesity categories into a single group eliminated the typical SES gradients observed in males and females for obesity, and resulted in a statistically significant reverse SES gradient in males. Conclusions: Combining the BMI categories of overweight and obesity into a single category masks important SES differences, while combining the data for males and females masks important sex differences. BMI categories of overweight and obesity should be analysed and reported independently, as should BMI data by sex.     

Health status of African Americans

The health status of African Americans identifies a higher prevalence of cardiovascular diseases, cancer, hypertension, diabetes, obesity, and sexually transmitted infections when compared with Whites. However, more research is needed to identify socioeconomic variables and to establish needed health programs. The vestiges of early 20th century traditions of substandard housing and inadequate nutrition for African Americans are still apparent in many communities today. Most health care professionals are not educated and trained to be culturally sensitive. The struggle against the prevalence of diseases in African Americans must incorporate cultural sensitivity, community organization and empowerment. The need for a universal system of health insurance coverage is of utmost importance. The elimination of health disparities among African Americans requires a national effort, the involvement of public and private sectors, individuals and communities.     

Measuring health disparities: trends in racial−ethnic and socioeconomic disparities in obesity among 2- to 18-year old youth in the United States, 2001–2010

PurposeAlthough eliminating health disparities by race, ethnicity, and socioeconomic status (SES) is a top public health priority internationally and in the United States, weight-related racial/ethnic and SES disparities persist among adults and children in the United States. Few studies have examined how these disparities have changed over time; these studies are limited by the reliance on rate differences or ratios to measure disparities. We sought to advance existing research by using a set of disparity metrics on both the absolute and relative scales to examine trends in childhood obesity disparities over time.MethodsData from 7066 children, ages 2 to 18 years, in the National Health and Nutrition Examination Surveys were used to explore trends in racial/ethnic and SES disparities in pediatric obesity from 2001 to 2010 using a set of different disparity metrics.ResultsRacial/ethnic and SES-related disparities in pediatric obesity did not change significantly from 2001 to 2010 and remain significant.ConclusionsDisparities in obesity have not improved during the past decade. The use of different disparity metrics may lead to different conclusions with respect to how disparities have changed over time, highlighting the need to evaluate disparities using a variety of metrics.     

Social inequalities in the association between partner/marital status and health among workers in Spain

The objectives of this study are to examine the association between partner/marital status and several health outcomes among workers and to assess whether it depends on gender and occupational social class. The sample was composed of all workers aged 21-64 years interviewed in the 2006 Spanish National Health Survey (8563 men and 5881 women). Partner/marital status had seven categories: married and living with the spouse (reference category), married and not living with the spouse, cohabiting, single and living with parents, single and not living with parents, separated/divorced and widowed. Four health outcomes were analysed: self-perceived health status, mental health, psychiatric drugs consumption and hypertension. Multiple logistic regression models stratified by sex and social class were fitted. Female manual workers who were cohabiting were more likely to report poor self-perceived health status, poor mental health status, psychiatric medication consumption and hypertension than their married and living with the spouse counterparts. In that group the prevalence of poor health outcomes was even higher when compared with single people. Among male non-manual workers, being married and not living with the spouse was associated with poor self-perceived health status, poor mental health status and hypertension. There were almost no differences in health between being married and the rest of partner/marital status categories for different combinations of gender and social class and, even, some groups of single people reported better health outcomes than people who were married. Our results show no evidence that being married and living with the spouse is unequivocally linked to better health status among Spanish workers. They emphasize the importance of not only considering marital status, but also partner status, as well as the role of gender, social class and the sociocultural context in the analysis of the association between family characteristics and health.     

The impact of obesity on work limitations and cardiovascular risk factors in the U.S. workforce

OBJECTIVE: We document the association among obesity, cardiovascular risk factors, and work limitations in the U.S. workforce. METHODS: Using clinical measurements from the National Health and Nutrition Examination Survey III and 1999-2000, we analyzed obesity rates and cardiovascular risk factor prevalence. We examined work limitations using the National Health Interview Survey 2002. RESULTS: Obesity increased 43.8% from 1988-1994 to 1999-2000 and now affects 29.4% of workers. Obese workers have the highest prevalence of work limitations (6.9% vs. 3.0% among normal-weight workers), hypertension (35.3% vs. 8.8%), dyslipidemia (36.4% vs. 22.1%), type 2 diabetes (11.9% vs. 3.2%), and the metabolic syndrome (53.6% vs. 5.7%). We also found increased prevalence rates among those classified as overweight. CONCLUSIONS: Our study documents the association between excess body weight and health outcomes. Workplace weight and disease management programs could reduce morbidity and increase productivity.     

Tobacco smoking by occupation in Australia: results from the 2004 to 2005 National Health Survey

OBJECTIVE: This study presents the most recent estimates of Australia's national tobacco smoking rates by occupation. METHODS: Smoking data was extracted from the 2004 to 2005 National Health Survey, which captured approximately 26,000 persons and achieved a response rate of around 90%. Participants were limited to those of working age (18 to 64 years), with data stratified by job category and gender during the analysis. RESULTS: The prevalence of smoking among Australian workers is estimated to be 25% (28% among males and 21% among females). Tobacco usage is considerably less common among those who are employed compared with the unemployed. By job category, smoking was most common among laborers and the least common among professionals, managers, or administrators. CONCLUSIONS: Overall, this study suggests that Australian rates of tobacco smoking vary widely depending on occupation. Effective tobacco-control strategies targeting vulnerable sections of the workforce, particularly blue-collar workers, are clearly needed.     

Health Disparities Between Appalachian and Non-Appalachian Counties in Virginia USA

The examination of health disparities among people within Appalachian counties compared to people living in other counties is needed to find ways to strategically target improvements in community health in the United States of America (USA). Methods: A telephone survey of a random sample of adults living in households within communities of all counties of the state of Virginia (VA) in the USA was conducted. Findings: Health status was poorer among those in communities within Appalachian counties in VA and health insurance did not make a difference. Health perception was significantly worse in residents within communities in Appalachian counties compared to non-Appalachian community residents (30.5 vs. 17.4% rated their health status as poor/fair), and was worse even among those with no chronic diseases. Within communities in Appalachian counties, black residents report significantly better health perception than do white residents. Conclusion: Residents living in communities in Appalachian counties in VA are not receiving adequate health care, even among those with health insurance. More research with a larger ethnic minority sample is needed to investigate the racial/ethnic disparities in self-reported health and health care utilization within communities.     

Defining and targeting health care access barriers

The impact of social and economic determinants of health status and the existence of racial and ethnic health care access disparities have been well-documented. This paper describes a model, the Health Care Access Barriers Model (HCAB), which provides a taxonomy and practical framework for the classification, analysis and reporting of those modifiable health care access barriers that are associated with health care disparities. The model describes three categories of modifiable health care access barriers: financial, structural, and cognitive. The three types of barriers are reciprocally reinforcing and affect health care access individually or in concert. These barriers are associated with screening, late presentation to care, and lack of treatment, which in turn result in poor health outcomes and health disparities. By targeting those barriers that are measurable and modifiable the model facilitates root-cause analysis and intervention design.