PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Health Status Disparities”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 325 records · Page 18Linked to original sources

Primary care physicians' perceptions of the effect of insurance status on clinical decision making.

PURPOSE: Americans who do not have health insurance receive fewer health services and have poorer health status than those who have insurance. To better understand this disparity, in this study we characterize primary care physician's perceptions of what effect, if any, patients' insurance status has on their clinical decision making during office visits. METHODS: Twenty-five physician members of CAPRICORN, a primary care practice-based research network in metropolitan Washington, DC, completed a brief paper-card survey instrument immediately after each patient encounter during 2 half-day office sessions. Participants saw patients in their usual manner and were given no additional information about their patients or their insurance. RESULTS: Eighty-eight percent of participating physicians reported making at least 1 change in clinical management as a result of a patient's insurance status. They reported altering their management during 99 of 409 patient encounters (24.2%). There was a significant difference in the percentage of visits that involved a change in management for privately insured, publicly insured, and uninsured patients (18.7%, 29.5%, and 43.5% respectively, P = .01). Physicians reported discussing insurance issues with patients during 62.6% of visits during which they made a change in management based on insurance status. CONCLUSION: Physicians incorporate their patients' insurance status into their clinical decision making and acknowledge they frequently alter their clinical management as a result. Additional research is needed to understand the effect of these changes on patient health and to assist both physicians and patients in enhancing the quality of care delivered within the constraints of the current insurance system.

Adult↗

Differences in disease outcomes between medicaid and privately insured children: possible health disparities in juvenile rheumatoid arthritis.

OBJECTIVE: To determine the relationship between health insurance status and disease outcome in children with juvenile rheumatoid arthritis (JRA). METHODS: JRA patients followed at a tertiary pediatric rheumatology center were assessed for the number of active joints and number of joints with limited range of motion. Disease activity, patient well-being, and pain were measured. Disability was assessed by the Childhood Health Assessment Questionnaire, health-related quality of life by the Pediatric Quality of Life Inventory (PedsQL) Generic Core Scale, and the PedsQL Rheumatology Module. Health care resource utilization was estimated based on the number of billing events for health services coded in administrative databases; these databases also provided information on patient health insurance status. Children insured by Medicaid or similar state programs for low-income families were considered to have Medicaid status. Disease outcomes of children with Medicaid status was compared with that of children with private health insurance. RESULTS: Forty (14%) of the 295 children with JRA had Medicaid status. Patients with Medicaid status were more often of nonwhite race (P < or = 0.04) and more frequently had a polyarticular or systemic disease course (P = 0.04) compared with other patients (n = 255). After correction for differences in disease duration, race, JRA onset, and JRA course between groups, children with Medicaid status continued to have significantly higher disability (P < 0.0003), and lower mean PedsQL Generic Core Scale scores (P < 0.05), while health resource utilization appeared similar between groups. CONCLUSION: Despite apparently similar health resource utilization and joint involvement, Medicaid status is associated with significantly lower health-related quality of life and higher disability in JRA.

Adolescent↗

Stress and physical health: the role of neighborhoods as mediating and moderating mechanisms.

Using data from the 1995 Detroit Area Study (N = 1106) in conjunction with tract-level data from the 1990 census, this paper evaluates the relationship between residential stability and physical health among black and white adults. Results suggest that neighborhood-level variation in health is primarily mediated by key sociodemographic characteristics of individuals (e.g., age, race, and socioeconomic status). However, a significant portion of health differentials across neighborhoods is due to disparate stress levels across neighborhoods. Further, high levels of neighborhood stability provide an important buffer to the otherwise deleterious effects of increased stress levels on adults' overall health.

Adult↗

Disease and disadvantage in the United States and in England.

CONTEXT: The United States spends considerably more money on health care than the United Kingdom, but whether that translates to better health outcomes is unknown. OBJECTIVE: To assess the relative heath status of older individuals in England and the United States, especially how their health status varies by important indicators of socioeconomic position. DESIGN, SETTING, AND PARTICIPANTS: We analyzed representative samples of residents aged 55 to 64 years from both countries using 2002 data from the US Health and Retirement Survey (n = 4386) and the English Longitudinal Study of Aging (n = 3681), which were designed to have directly comparable measures of health, income, and education. This analysis is supplemented by samples of those aged 40 to 70 years from the 1999-2002 waves of National Health and Nutrition Examination Survey (n = 2097) and the 2003 wave of the Health Survey for England (n = 5526). These surveys contain extensive and comparable biological disease markers on respondents, which are used to determine whether differential propensities to report illness can explain these health differences. To ensure that health differences are not solely due to health issues in the black or Latino populations in the United States, the analysis is limited to non-Hispanic whites in both countries. MAIN OUTCOME MEASURE: Self-reported prevalence rates of several chronic diseases related to diabetes and heart disease, adjusted for age and health behavior risk factors, were compared between the 2 countries and across education and income classes within each country. RESULTS: The US population in late middle age is less healthy than the equivalent British population for diabetes, hypertension, heart disease, myocardial infarction, stroke, lung disease, and cancer. Within each country, there exists a pronounced negative socioeconomic status (SES) gradient with self-reported disease so that health disparities are largest at the bottom of the education or income variants of the SES hierarchy. This conclusion is generally robust to control for a standard set of behavioral risk factors, including smoking, overweight, obesity, and alcohol drinking, which explain very little of these health differences. These differences between countries or across SES groups within each country are not due to biases in self-reported disease because biological markers of disease exhibit exactly the same patterns. To illustrate, among those aged 55 to 64 years, diabetes prevalence is twice as high in the United States and only one fifth of this difference can be explained by a common set of risk factors. Similarly, among middle-aged adults, mean levels of C-reactive protein are 20% higher in the United States compared with England and mean high-density lipoprotein cholesterol levels are 14% lower. These differences are not solely driven by the bottom of the SES distribution. In many diseases, the top of the SES distribution is less healthy in the United States as well. CONCLUSION: Based on self-reported illnesses and biological markers of disease, US residents are much less healthy than their English counterparts and these differences exist at all points of the SES distribution.

Aged↗

Coronary heart disease prevention and lifestyle interventions: cultural influences.

Unless action is directed to address the multiple influences on coronary heart disease (CHD) risk reduction behaviors, across all population groups, the aims of Healthy People 2010 with regard to CHD will not be realized. Health-promotion and disease-prevention models, including a framework for primordial, primary, and secondary prevention provided by an American Heart Association task force, and a model for interventions to eliminate health disparities are reviewed. The role of culture, ethnicity, race, and socioeconomic status and how these concepts have been studied in recent lifestyle interventions aimed at CHD risk reduction is explored. Finally, these findings are synthesized to provide suggestions for nursing care delivery in primary and tertiary care settings.

Attitude to Health↗

Quality of hospital care for Māori patients in New Zealand: retrospective cross-sectional assessment.

BACKGROUND: New Zealand has a substantial indigenous minority--the Māori--that has considerably worse health status than the majority population. We aimed to assess possible disparities in quality of hospital care for Māori with data on preventable adverse events as an indicator of suboptimum treatment. METHODS: We undertook a nationally representative cross-sectional survey of admissions to general public hospitals with more than 100 beds providing acute care. A sample of 6579 patients admitted in 1998 to 13 hospitals was selected by stratified systematic list sample. We did a two-stage retrospective assessment of records by structured implicit review. Outcome measures were occurrence, effect, and preventability of adverse events. FINDINGS: Māori accounted for just greater than 15% of admissions and were on average younger, were more likely to be from from deprived areas, had a different case mix, and were in hospital for a shorter stay compared with patients of non-Māori/non-Pacific origin. Overall, after age standardisation, 14% of admissions for Māori were associated with an adverse event, compared with 11% for non-Māori/non-Pacific patients (p=0.01 for difference between groups). For preventable, in-hospital events, this disparity persisted after controlling for age, other sociodemographic factors, and case mix (adjusted odds ratio 1.47; p=0.05). Analysis of potential causal factors showed no markedly or consistently different pattern between the groups. INTERPRETATION: Despite a predominantly publicly funded hospital system, our findings suggest that hospital care received by Māori is marginally poorer than that received by New Zealand citizens of non-Māori/non-Pacific origin. Although no cause specific to Māori was evident, various policy and system issues can be addressed.

Adolescent↗

Social inequalities in health disentangling the underlying mechanisms.

Differentials in health and longevity by socioeconomic status and by the nature of social relationships have been found in innumerable studies in the social and medical sciences. Three categories of explanations for the observed patterns have been proposed: causal mechanisms through which the social environment affects health status or the risk of dying; selection or reverse causal pathways whereby a person's health status affects their social position; and artifactual mechanisms, such as measurement error. The general consensus among researchers is that the observed disparities in health are driven largely by a complex set of causal processes rather than by selection or by artifactual mechanisms. This paper explores the set of arguments and strategies that researchers have used to arrive at this conclusion. As part of this undertaking, we assess whether inferences regarding the minor contribution of selection to the overall association between social factors and health are justifiable. In addition, we identify current avenues of research that are providing new insights into the causal pathways linking social factors and health.

Adult↗

Socioeconomic disparities in health care use: Does universal coverage reduce inequalities in health?

BACKGROUND: Despite enormous public sector expenditures, the effectiveness of universal coverage for health care in reducing socioeconomic disparities in health has received little attention. STUDY OBJECTIVE: s: To evaluate whether universal coverage for health care reduces socioeconomic disparities in health. DESIGN: Information on participants of the 1990 Nova Scotia Nutrition Survey was linked with eight years of administrative health services data and mortality. The authors first examined whether lower socioeconomic groups use more health services, as would be expected given their poorer health status. They then investigated to what extent differential use of health services modifies socioeconomic disparities in mortality. Finally, the authors evaluated health services use in the last years of life when health is poor regardless of a person's socioeconomic background. SETTING: The Canadian province of Nova Scotia, which provides universal health care coverage to all residents. PARTICIPANTS: 1816 non-institutionalised adults, aged 18-75 years, from a two stage cluster sample stratified by age, gender, and region. MAIN RESULTS: People with lower socioeconomic background used comparatively more family physician and hospital services, in such a way as to ameliorate the socioeconomic differences in mortality. In contrast, specialist services were comparatively underused by people in lower socioeconomic groups. In the last three years of life, use of specialist services was significantly higher in the highest income group. CONCLUSIONS: Universal coverage of family physician and hospital services ameliorate the socioeconomic differences in mortality. However, specialist services are underused in lower socioeconomic groups, bearing the potential to widen the socioeconomic gap in health.

Adolescent↗

Comparing health and health care use in Canada and the United States.

Results from the Joint Canada/United States Survey of Health (2002-2003) reveal that health status is relatively similar in the two countries, but income-related health disparities exist. Americans in the poorest income quintile are more likely to have poor health than their Canadian counterparts; there were no differences between the rich. In general, Canadians were more like insured Americans regarding access to services, and Canadians experienced fewer unmet needs overall. Despite higher U.S. levels of spending on health care, residents in the two countries have similar health status and access to care, although there are higher levels of inequality in the United States.

Canada↗

Implications of black immigrant health for U.S. racial disparities in health.

This paper contributes to a growing understanding of U.S. black-white health disparities by using national-level data to disaggregate the health status of black Americans into the following subgroups: U.S.-born blacks, black immigrants from Africa, black immigrants from the West Indies, and black immigrants from Europe. Using new data on the 2000 and 2001 National Health Interview Surveys (NHIS), the authors compare the status of U.S.- and foreign-born blacks to that of U.S.-born whites on three measures of health. The analysis finds that U.S.-born and European-born blacks have worse self-rated health, higher odds of activity limitation, and higher odds of limitation due to hypertension compared to U.S.-born whites. In contrast, African-born blacks have better health than U.S.-born whites on all three measures, while West Indian-born blacks have poorer self-rated health and higher odds of limitation due to hypertension but lower odds of activity limitation. These findings suggest that grouping together foreign-born blacks misses important variations within this population. Rather than being uniform, the black immigrant health advantage varies by region of birth and by health status measure. The authors conclude by exploring the implications of these findings for researchers, health professionals, and public policy.

Adult↗

Why is poverty unhealthy? Social and physical mediators.

Socioeconomic status is associated with mortality, yet does not fully explain health disparities. This study analyzed data from the Project on Human Development in Chicago Neighborhoods (PHDCN), in the USA, to identify neighborhood-level factors associated with premature mortality. 1990 US Census data and mortality data from Chicago were merged with data from PHDCN, a study of 8782 residents in 343 Chicago neighborhoods. We performed a multivariate analysis to determine the association between premature mortality and concentrated disadvantage, residential stability, immigrant concentration, "collective efficacy" (a measure of willingness to help out for the common good), and "broken windows" (boarded up stores and homes, litter, and graffiti). Both collective efficacy and broken windows appeared to mediate the effect of concentrated disadvantage on all-cause premature mortality and mortality from cardiovascular disease and homicide, but there was also an interaction between broken windows and collective efficacy. Non-income characteristics associated with poverty should be further investigated. Interventions to determine whether these factors are causally related to health are needed.

Adolescent↗

Reifying human difference: the debate on genetics, race, and health.

The causes of racial and ethnic inequalities in health and the most appropriate categories to use to address health inequality have been the subject of heated debate in recent years. At the same time, genetic explanations for racial disparities have figured prominently in the scientific and popular press since the announcement of the sequencing of the human genome. To understand how such explanations assumed prominence, this essay analyzes the circulation of ideas about race and genetics and the rhetorical strategies used by authors of key texts to shape the debate. The authority of genetic accounts for racial and ethnic difference in disease, the author argues, is rooted in a broad cultural faith in the promise of genetics to solve problems of human disease and the inner truth of human beings that is intertwined with historical meanings attached to race. Such accounts are problematic for a variety of reasons. Importantly, they produce, reify, and naturalize notions of racial difference, provide a scientific rationale for racially targeted medical care, and distract attention from research that probes the complex ways in which political, economic, social, and biological factors, especially those of inequality and racism, cause health disparities.

Biomedical Research↗

Self - perceived and clinically diagnosed dental and periodontal health status among young adults and their implications for epidemiological surveys.

BACKGROUND: Clinical (normative) and subjective (self-assessment) evaluation of caries and periodontal diseases have been reported to demonstrate a significant disparity. The dental public health team is obligated to recognize and understand this gap. The objectives of the study were to investigate the practical values of using questionnaires (self-perceived assessment) as compared to clinical examinations (normative assessment) and to evaluate the implications of the results in understanding the public's perception of oral health. METHODS: The investigation was performed on 4920, 21 year-old Israeli adults upon release from compulsory military service between 1996 and 1998. Participants were asked to fill in a questionnaire inquiring how they would rate their personal dental and periodontal health levels. Clinical examinations, employing the DMFT and CPITN indices, were performed to determine normative oral health status. Perceived and normative assessments were compared for sensitivity, specificity, positive and negative predictive values and overall proportions using the clinical examinations as a gold standard. RESULTS: The sensitivity (disease perception) for dental status was found to be 0.34, while the specificity (health perception) was found to be 0.83. The positive predictive value for perceived dental status was found to be 0.68, whereas the negative predictive value was found to be 0.54. The sensitivity for perceived periodontal status was found to be 0.28, while the specificity was found to be 0.83. The positive predictive value for perceived periodontal status was found to be 0.05, whereas the negative predictive value was found to be 0.97. Regarding the overall proportions, a large discrepancy was found between self-assessment and professional assessment for both dental and periodontal health status. CONCLUSIONS: Self-assessment questionnaires were of low value in evaluating oral health status both in the individual and public levels, though perception levels of health were higher than that of disease. Findings reflects a low level of awareness of the public that may influence care-seeking behavior and highlight the importance of oral health promotion and the crucial need for public health action.

Journal Article↗

A decade of research on disparities in Medicare utilization: lessons for the health and health care of vulnerable men.

Medicare research has shown that there are substantial disparities by race and socioeconomic status in use of services. In this article, I review past research and discuss how findings apply specifically to vulnerable men aged 65 years or older. Six lessons from this review are identified and illustrated here. Disparities in certain measures of health are growing; to reverse this trend, substantial efforts are needed, including dissemination of information about disparities as well as testing of hypotheses regarding underlying causes.

Black or African American↗

Disparate effects of socioeconomic status on physical function and emotional well-being in older adults.

We tested the hypothesis that among community living older adults with relatively low and high socioeconomic status (SES), low SES is associated with both poorer emotional well-being and physical function. Ambulatory, community living older men and women (70-89 years of age) were recruited from outpatient geriatric assessment clinics in relatively high socioeconomic areas of greater Boston (High SES, N=47), and from an urban senior center in the inner city (Low SES, N=66). We assessed health status, mental health, upper and lower extremity strength and physical function. We found that health status was not significantly different in the two groups. Quadriceps strength (Low SES: 199+/-57 N; High SES: 190+/-56 N; p=0.531) and Up and Go times (Low SES: 14.3+/-3.1 sec; High SES: 16.7+/-9.5 sec; p=0.068) were not significantly different in the two groups, while grip strength was slightly higher in the Low SES group (Low SES: 22.8+/-6.45 kg; High SES: 20.07+/-7.55 kg; p=0.049). In contrast, subjects with Low SES tended to have an increased tendency towards depression. Scores on the Geriatric Depression Scale were 3.8+/-3.0 in Low SES, and 1.8+/-2.8 in High SES (p<0.001). We conclude that while health status and physical function were not worse in subjects with low SES, emotional well-being was markedly less compared to seniors with high SES. SES may have disparate effects on physical function and mental health, perhaps due to different compensatory mechanisms.

Activities of Daily Living↗