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The role of health care attributes and demographic characteristics in the determination of health care satisfaction.

The authors investigate the influence of demographic characteristics and health care attributes on overall health care satisfaction. They use a national cross-section sample of HMO members and another of non-HMO members. Demographic characteristics are treated as antecedent to satisfaction with the health care attributes in the determination of overall health care satisfaction. The health care attributes are very similar in impact for both samples, suggesting HMOs should emphasize those attributes both to ensure reenrollment and to encourage new enrollment. Findings also show that satisfaction with several health care attributes varies along a few demographic dimensions, suggesting demographic bases along which the health care market can be segmented.

Consumer Behavior↗

Predictors of elderly mortality: health status, socioeconomic characteristics and social determinants of health.

This paper uses longitudinal survey data from Taiwan to investigate the predictors of elderly mortality. The empirical analysis confirms a relationship between socioeconomic characteristics and mortality, but this relationship weakens considerably when estimates are conditional on the health status at the time of the first wave survey. In terms of predictive power, the models with an activities of daily living index fare better (as opposed to models with self-evaluated health or self-reported illnesses). Having said that there is a payoff to the consideration of self-evaluated health jointly with other 'objective' health indicators. Other findings include a strong association between life satisfaction and survival, which prevails even after controlling for other explanatory variables.

Activities of Daily Living↗

[Sentinel public health offices--a new approach to determining public health relevant data by the public health service].

The discipline of environment-related health protection lacks continuously recorded data. Therefore, a three-year pilot project "Sentinel Public Health Offices" was initiated by the Ministry of Labour, Health and Social Welfare of Baden-Württemberg in 1992. Selected public health offices were instructed to conduct a series of three cross-sectional surveys of biological and effect monitoring among children attending the fourth grade of primary schools. The surveys were coordinated by the Provincial Public Health Office. During the pilot project the system of " Sentinel Public Health Offices" has proved successful not only in the continuous recording of data relevant to health. Its continuation as a permanent institution is contemplated.

Child↗

The health readiness of junior enlisted military women: the social determinants of health model and research questions.

Currently, women comprise 17% of the 1.4 million U.S. active military and 20% of the 1.2 million reserve force. Well over three-quarters of these women are enlisted (82%). Enlisted women are young, between the ages of 17 and 29, and one-half are ethnic minorities. Enlisted women are a growing minority within the predominantly male hierarchical military organization. The most junior of these women, in addition to being vastly outnumbered by men, fall along with junior enlisted men at the bottom of the military organizational structure. This unique position may have health consequences. The purpose of this article is to propose research questions within the context of the Marmot and Wilkinson's social determinants of health model. Proposed research questions are provided to address the current gaps in the science related to the contextual health readiness issues of junior enlisted military women.

Adolescent↗

Social determinants of health: a veil that hides socioeconomic position and its relation with health.

The emergence of theoretical models of social determinants of health has added conceptual ambiguity to the understanding of social inequalities in health, as it is often not possible to clearly distinguish between socioeconomic position and these determinants. Whether the existence of social inequalities in health is based on differences in health or on differences in social determinants of health that are systematically associated with socioeconomic position, policymakers should be clearly informed of the importance of socioeconomic position for health. Thus, the following three basic requirements are proposed: to reach a consensus about the dimensions that reflect socioeconomic position; to agree about what are to be considered the social determinants of health and whether or not these determinants are a construct that can be distinguished from socioeconomic position; and finally, to establish which dimensions and measures of socioeconomic position are most appropriate for the evaluation of interventions that aim to reduce these inequalities.

Health Policy↗

Child health indicators for Europe: a priority for a caring society.

BACKGROUND: Measurement of children's health is important for two reasons: first, because young people are citizens in their own right, yet largely unable to act as self-advocates, particularly at the population level; and second, because their health determines the health of the future population. Indicators based on measurements of child health are important for identifying progress, problems and priorities, changes over time, and newly emergent issues. The European Community Health Monitoring Programme (HMP) is a comprehensive programme to develop and implement a set of national-level indicators. The Child Health Indicators of Life and Development (CHILD) project is the only population group-specific project, seeking to determine a holistic set of measures. METHODS: The project endeavoured to address all aspects of child health and its determinants, balancing positive and negative aspects. It undertook a structured search of published evidence to seek to identify, and validate, indicators of health and illness, health determinants and challenges to health, quality of healthcare support and health-promoting national policies. A systematic approach was used in identifying valid indicators, and in assembling a balanced composite list. All ages from infancy to adolescence were covered. RESULTS: The project's final report identifies 38 core desirable national indicators, citing purpose and evidence for each. Of equal importance, it also identifies 17 key child health topics on which further research work is needed in order to identify and validate indicators appropriate across different national settings.

Adolescent↗

Investigation of health perspectives of those with physical disabilities: the role of spirituality as a determinant of health.

PURPOSE: To identify key determinants of health and the process of health attainment for people with musculoskeletal disabilities. METHOD: Focus groups of people with musculoskeletal disorders, including 30 members and their five trained facilitators, provided data. Discussed were 'What is health for you?' and 'What has helped, or would help you achieve this health?' Delphi-structured analysis identified health themes and a health process model was developed with the facilitators comprising the expert panel. RESULTS: Health was perceived as centred on relationships that required a spiritual awareness for a strong and resilient identity. The Self Attributes Model developed portrays the processes perceived to be required for health. CONCLUSIONS: Although physical, social and psychological interventions are essential aspects of health intervention, by themselves they are not sufficient. Also required for health is a strong resilient self resulting from interaction and connection with other people and the natural world. Moreover, development of such an identity requires a spiritual world-view comprising an acknowledgement of the essence of self and focus upon the nature of the connection of this essence with all other aspects of life. Further research is required to advance understanding of the process by which this occurs for people with chronic disorders.

Adult↗

Gender differences in structural and behavioral determinants of health: an analysis of the social production of health.

This paper explores aspects of the social production of health by focussing on the ways in which levels of health are shaped by structures of social inequality and behaviors or 'lifestyles'. We address two questions: What is the relative importance of the social, structural and behavioral determinants of health? And, are there gender differences in the determinants of health? These questions are explored using multiple regression analyses of data from the 1994 Canadian National Population Health Survey. Two measures of health are used: subjective health status and the Health Utilities Index (a measure of functional health status). By structural determinants we refer to age, family structure, main activity, education, occupation, income and social support. Behavioral determinants include lifestyle factors related to smoking, drinking, weight and physical activity. Findings indicate that the structures of social inequality are the most important determinants of health acting both independently and through their influence on the behavioral determinants of health. There are very real differences in the factors that predict women's and men's health. For women, social structural factors appear to play a more important role in determining health. Being in the highest income category, working full-time and caring for a family and having social support are more important predictors of good health for women than men. Smoking and alcohol consumption are more important determinants of health status for men than women, while body weight and being physically inactive are more important for women than men. Our findings suggest the value of models which include a wide range of structural and behavioral variables and affirm the importance of looking more closely at gender differences in the determinants of health.

Alcohol Drinking↗

Social inclusion: an interplay of the determinants of health - new insights into elder abuse.

Social and economic exclusion and inclusion are receiving growing attention and study in North America for their usefulness as a conceptual framework that addresses the many dimensions of poverty and inequality in our society. A discussion of social and economic exclusion/ inclusion flows naturally out of the population health field in which the social determinants of health have become well-established over the last twenty years or more. The determinants of health provide a broad and inclusive outline within which to situate prevention, early detection and effective intervention of the abuse of older persons. A Social Inclusion Lens offers exciting possibilities for addressing the issue of elder abuse and neglect.

Aged↗

[Determinants of health and health policy. Part 2. Classification and effectiveness of the determinants].

Determinants of the health and disease are factors of the human biology, environment, system of health and the human behaviour. For the clinical practice not only their identification, but also their effectiveness becomes important. Modern epidemiological gnoseology serves to this purpose using methods both on the individual and the population levels. At the same time, all indexes of the population's health status respond sensitively to two factors of the social sphere: Differences in the economical standard of the population, classified according the social status or family income, and on the psychosocial markers of the population groups. Relation between poverty and diseases is apparent, while relation between the wealth and health is in the modern societies less obvious. Complicated and comparatively fast sociopolitical, cultural, and psychological changes brought about the feeling that poverty and wealth are not taken absolutely (though differences among the two has risen) but more relatively. People appreciate more the quality of life, which is based more on the psycho-socio-cultural "capital", then on purely materialistic values.

Czech Republic↗

Determinants of health care use by children in rural western North Carolina: results from the Mountain Accessibility Project.

OBJECTIVE: To assess determinants of health care visits among children in a 12-county region of western North Carolina representative of rural areas in the United States. METHODS: Households were randomly selected for surveys of household characteristics, health status, and health care use. Surveys were conducted June 1999 to January 2000 and were stratified for children younger than 5 years and 5 years and older. The number of health care visits in the year before the survey was used as the outcome measure. Weighted mean visits and associations of family demographic and child health variables with the number of visits were determined by ratio and multivariate survey regression methods. RESULTS: Among children who lived in rural Appalachian regions of North Carolina in 1999, 90% had either public or private insurance coverage. The mean number of visits per child was 5.7 (median: 2.6), and in each age group the number of visits in the previous year exceeded the recommended number of well-child visits. There were no apparent geographic access barriers to care in this population, in that increased distances to provider sites did not result in declining numbers of visits. For children younger than 5 years, the primary determinants of health care use during the previous year were age, insurance status, and household income. Infants had more visits than older, preschool children, and those with household incomes >40 000 dollars per year had 76% more visits than those with incomes <20 000 dollars per year. Children with public insurance, exclusively Medicaid in this population, had almost 4 times as many visits as uninsured children. Among the children and adolescents 5 through 17 years of age, health insurance status, household income, pain during the past month, and race were the primary determinants of health care use during the previous year. Those with public health insurance had 6 times more health care visits than uninsured children. Household incomes >40 000 dollars per year were associated with 2.5-fold increased health care visits, and those with household incomes between 20 000 dollars and 40 000 dollars per year had 2-fold increased health care visits, compared with those with household incomes <20 000 dollars per year. White children had almost twice as many visits in the past year as black children in this age group. Pain experienced during the past month, as perceived by the parent, also predicted the number of visits in the older age group. CONCLUSIONS: This rural population seems to have reasonably good access to care overall. The key determinants of health care use among these rural children were similar to those found in urban and other populations in the United States and likely are universal: health insurance coverage, household income, and parent perceptions of their child's pain. As in other populations, programs in rural areas that strengthen health insurance coverage and reduce poverty will have a direct impact on child health. Differential use of health care among white and black children, especially those 5 years and older, merits additional explanation.

Child↗

Socioeconomic determinants of health insurance status among Puerto Ricans.

The present study analyzed the socioeconomic determinants of health insurance status among Puerto Ricans. Given the fact that there are no mandated health benefits for private firms in Puerto Rico and that health services are provided almost free of charge in government facilities, Puerto Rico provides a unique case study to explore the determinants of health insurance status. The model, estimated using a household sample of 750 dwellings, was collected through the Master Sample Survey of Puerto Rico's Department of Health. Given the nature of the problem studied, logistic regression techniques are used for estimation purposes. The findings of this study point to the importance of age and socioeconomic status as the most important determinants of health insurance status.

Adult↗

Social determinants and inequalities in urban health.

Social and environmental factors are health determinants, in association with behavior, biological factors, and health services. Whereas socioeconomic characteristics (age, gender, ethnicity, social status) describe individuals, social determinants work through broader policies that are influenced by governments. The relation between health and four social areas is discussed. Social capital, measured as social networks and social support, appears to be protective in developing some heart disease and mental illnesses; job control at work is also found to protect against heart disease; early life experiences affect both biological and social development; and the degree of income inequality within societies correlates with health status. The Independent Report on Inequalities in Health, published in the United Kingdom in 1998, is also reviewed. The report (a) briefly describes inequalities in health by social class, sex, and ethnicity; (b) reviews the literature on policy areas that affect health; (c) includes a section indicating relatively little inequality of access or provision in the National Health Service; and (d) makes 132 recommendations. Social determinants is a new area of research having the potential to link epidemiology and environmental sciences at small area level.

Epidemiology↗

A conceptual framework for the OECD Health Care Quality Indicators Project.

ISSUES: The Health Care Quality Indicator (HCQI) Project of the Organization for Economic Cooperation and Development (OECD), which is aimed at developing a set of indicators for comparing the quality of health care across OECD member countries, requires a balanced conceptual framework that outlines the main concepts and domains of performance that should be captured for the current and subsequent phases of the project. ADDRESSING THE ISSUES: This article develops a conceptual framework for the OECD's HCQI Project. It first argues that developing such a framework should start by addressing the question, 'performance of what-and to what ends?' We identify at least two different major classes of frameworks: (i) health and (ii) health care performance frameworks, both of which are in common use. For the HCQI, we suggest a conceptual framework that is largely a purposeful modification of the existing performance frameworks and which is driven by the health determinants model. CONCLUSIONS: The conceptual basis for performance frameworks can be traced back to the health determinants model. A health performance framework takes a broader, societal or public health view of health determination, whereas a health care performance takes a narrower, mostly clinical or technical view of health care in relation to health (needs). This article proposes an HCQI framework that focuses on the quality of health care, maintains a broader perspective on health and its other determinants, and recognizes the key aims of health policy.

Benchmarking↗

Understanding the determinants of health for people with type 2 diabetes.

OBJECTIVE: We assessed which of a broad range of determinants of health are most strongly associated with health-related quality of life (HRQL) among people with type 2 diabetes. METHODS: Our analysis included respondents from the Canadian Community Health Survey Cycle 1.1 (2000-2001) who were aged 18 years and older and who were identified as having type 2 diabetes. We used regression analyses to assess the associations between the Health Utilities Index Mark 3 and determinants of health. RESULTS: Comorbidities had the largest impact on HRQL, with stroke (-0.11; 95% confidence interval [CI] = -0.17, -0.06) and depression (-0.11; 95% CI = -0.15, -0.06) being associated with the largest deficits. Large differences in HRQL were observed for 2 markers of socioeconomic status: social assistance (-0.07; 95% CI=-0.12, -0.03) and food insecurity (-0.07; 95% CI=-0.10, -0.04). Stress, physical activity, and sense of belonging also were important determinants. Overall, 36% of the variance in the Health Utilities Index Mark 3 was explained. CONCLUSION: Social and environmental factors are important, but comorbidities have the largest impact on HRQL among people with type 2 diabetes.

Aged↗

Social determinants of health: present status, unanswered questions, and future directions.

This article reviews the current status of theory and research concerning the social determinants of health. It provides an overview of current conceptualizations and evidence on the impact of various social determinants of health. The contributions of different disciplines--epidemiology, sociology, political economy, and the human rights perspective--to the field are acknowledged, but profound gaps persist in our understanding of the forces that drive the quality of various social determinants of health and why research is too infrequently translated into action. Many of these gaps in knowledge concern the political, economic, and social forces that make implementation of public policy agendas focused on strengthening the social determinants of health problematic. The author identifies the areas of inquiry needed to help translate knowledge into action.

Evidence-Based Medicine↗

[Social determinants of health. Basic facts and recommendations for practice within the context of the Health City Program].

Paper provides some basic information on selected social determinants of health that had been summarised in the process of creating, detailing, implementing and evaluating the European health policy led by WHO. The social areas discussed are: social gradient, stress, early life experiences, social exclusion, job control at work, unemployment, social support, addiction, food, and transport. We also present a brief summary of policy recommendations related to social determinants of health. This information is relevant both for the development of the health services system and the system of health care and policy in a broader sense.

Health Promotion↗