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PubMed1991

Determinants of health insurance status among young adults.

This study evaluates the determinants of insurance coverage in the 18-24-year-old population using the National Medical Care Utilization and Expenditure Survey. Three specific issues are addressed: 1) the characteristics of the insured versus uninsured, 2) the reason given by the uninsured for not having coverage, and 3) the role of employment status and other variables in determining insurance status. An important consideration is whether age or usual activity is more important in its effect on insurance status. The results show that employment is the strongest predictor of insurance status in all age and usual activity subgroups. Generally, permanent/full-time workers are most likely to be insured. An exception to this trend is found for those attending school who are also permanent/part-time workers. These individuals are more likely to be insured than permanent full-time workers who are in school. Furthermore, young adults with lower incomes, less education, rural residence, not married, hispanic ethnicity, and Western geography are the least likely to be insured. The findings of this analysis can be used by policymakers to identify the mechanisms that can best enhance insurance coverage among young adults.

Adult↗
PubMed2006

Socioeconomic determinants of health related quality of life in childhood and adolescence: results from a European study.

STUDY OBJECTIVE: The objective of this study was to investigate the impact of two different socioeconomic status (SES) measures on child and adolescent self reported health related quality of life (HRQoL). The European KIDSCREEN project aims at simultaneous developing, testing, and implementing a generic HRQoL instrument. DESIGN AND SETTING: The pilot version of the questionnaire was applied in school surveys to students from 8 to 18 years of age, as well as to their parents, together with such determinants of health status as two SES indicators, the parental educational status and the number of material goods in the family (FAS, family affluence scale). PARTICIPANTS: Students from seven European countries: 754 children (39.8%; mean: 9.8 years), and 1142 adolescents (60.2 %; mean: 14.1 years), as well as their respective parents. MAIN RESULTS: In children, a higher parental educational status was found to have a significant positive impact on the KIDSCREEN dimensions: physical wellbeing, psychological wellbeing, moods and emotions, bullying and perceived financial resources. Increased risk of low HRQoL was detected for adolescents in connection with their physical wellbeing. Family wealth plays a part for children's physical wellbeing, parent relations and home life, and perceived financial resources. For adolescents, family wealth furthermore predicts HRQoL on all KIDSCREEN dimensions. CONCLUSIONS: There is evidence to suggest that exposure to low parental educational status may result in a decreased HRQoL in childhood, whereas reduced access to material (and thereby social) resources may lead to a lower HRQoL especially in adolescence.

Adolescent↗
PubMed1999

Epidemiology of socioeconomic status and health: are determinants within countries the same as between countries?

Within societies, health and ill-health follow a social gradient: lower socioeconomic position, worse health. The slope of the gradient has varied over time. It is likely that social and economic circumstances play a role in this changing slope. Within Europe, differences in health between East and West have also varied in magnitude. The advantage in the West increased through the 1970s and 1980s. Although similar in their health trends up to 1989, the countries of central and eastern Europe have diverged quite sharply subsequently. It is again likely that changing social and economic fortunes account for these trends. There is evidence to support the role of psychosocial factors in relating to socioeconomic differences within and between countries.

Adolescent↗
PubMed2000

Clinical and socioeconomic determinants of health care use among HIV-infected patients in the Department of Veterans Affairs.

This study estimates the impact of clinical and socioeconomic characteristics on health care use for HIV-infected patients. Data come from the Department of Veterans Affairs (VA) HIV Registry, which electronically extracts data from patients' automated medical records, and from patient interviews. Unlike prior studies, this analysis includes a staging system incorporating CD4 count and AIDS-defining diagnoses. Results showed that clinical factors were the most important determinants of health care use; socioeconomic variables were seldom significant. These findings were expected, since the VA is an equal access system, providing care regardless of socioeconomic status.

Aged↗
PubMed2004

Pathways between socioeconomic determinants of health.

STUDY OBJECTIVE: Many previous studies on socioeconomic inequalities in health have neglected the causal interdependencies between different socioeconomic indicators. This study examines the pathways between three socioeconomic determinants of ill health. DESIGN, SETTING, AND PARTICIPANTS: Cross sectional survey data from the Helsinki health study in 2000 and 2001 were used. Each year employees of the City of Helsinki, reaching 40, 45, 50, 55, and 60 years received a mailed questionnaire. Altogether 6243 employees responded (80% women, response rate 68%). Socioeconomic indicators were education, occupational class, and household income. Health indicators were limiting longstanding illness and self rated health. Inequality indices were calculated based on logistic regression analysis. MAIN RESULTS: Each socioeconomic indicator showed a clear gradient with health. Among women half of inequalities in limiting longstanding illness by education were mediated through occupational class and household income. Inequalities by occupational class were largely explained by education. A small part of inequalities for income were explained by education and occupational class. For self rated health the pathways were broadly similar. Among men most of the inequalities in limiting longstanding illness by education were mediated through occupational class and income. Part of occupational class inequalities were explained by education. Two thirds of inequalities by income were explained by education and occupational class. CONCLUSIONS: Parts of the effects of each socioeconomic indicator on health are either explained by or mediated through other socioeconomic indicators. Analyses of the predictive power of socioeconomic indicators on health run the risk of being fruitless, if interrelations between various indicators are neglected.

Adult↗
PubMed2003

What is population health?

Population health is a relatively new term that has not yet been precisely defined. Is it a concept of health or a field of study of health determinants? We propose that the definition be "the health outcomes of a group of individuals, including the distribution of such outcomes within the group," and we argue that the field of population health includes health outcomes, patterns of health determinants, and policies and interventions that link these two. We present a rationale for this definition and note its differentiation from public health, health promotion, and social epidemiology. We invite critiques and discussion that may lead to some consensus on this emerging concept.

Canada↗
PubMedDate not supplied

[1998 Quebec Social and Health Survey: determinants of chronic respiratory diseases].

In the course of the "1998 Health and Social Survey", questions were included to verify the prevalence of chronic respiratory diseases and also of wheezing. The objectives of this study were 1) to verify the prevalence of wheezing and its validity as an indicator of chronic respiratory diseases in Québec; and 2) to examine the relationship between chronic respiratory diseases and some of their potential determinants. A total of 30,386 individuals participated in the study. For all ages, the prevalence of wheezing was 5.4%. It was associated with asthma, allergies, chronic bronchitis and emphysema. A low familial income and tobacco smoking were associated with wheezing, asthma, chronic bronchitis and emphysema. Passive smoking was associated with wheezing whereas the presence of carpets was associated with wheezing and asthma. Between 32 and 48% of families with an asthmatic or an allergic member modified their dwelling to alleviate respiratory problems. The prevalence of wheezing documented here was lower than in anglosaxon countries. This result could be explained by a cultural factor (the French translation or the perception of wheezing). This study emphasizes the role of reducing tobacco smoking in the prevention of chronic respiratory diseases.

Adolescent↗
PubMed2006

Utility stress as a social determinant of health: exploring the links in a remote Aboriginal community.

ISSUE ADDRESSED: The implications of the high cost of water on the poverty and subsequent health of Aboriginal residents in a remote community in Australia. METHODS: During 2003, a focus group session was held with adults at Umoona Aboriginal community in South Australia. Participants were asked to comment on key issues of concern in the provision of the domestic water supply. RESULTS: The Umoona community members in Coober Pedy identified the high cost of water and electricity as key hardship factors. CONCLUSIONS: Plans under the National Water Initiative to move to full cost recovery for water and the privatisation of public utilities may result in increased hardship for low-income groups such as Aboriginal people. Utility stress (difficulties paying water, electricity, gas or telephone accounts by the due date) increases poverty and relative deprivation, both key factors in the social determinants of health. Increased community service obligations (CSO) and rebates need to be made available to all low-income groups in order to reduce the negative impact of poverty.

Adult↗
PubMedDate not supplied

[Information for health equity in Chile].

OBJECTIVES: To estimate the magnitude of geographical health inequalities in Chile through key indicators based on data and information that are routinely collected and easily obtained, and to characterize the current situation with respect to the availability, quality, and access to information on health equity that official sources routinely collect. METHODS: A conceptual framework proposed by the World Health Organization was used to study health equity in terms of four dimensions: 1) state of health, 2) health determinants, 3) resources for and the supply of health system services, and 4) utilization of health system services. For each of these four dimensions, indicators were selected for which there was available information. The information was aggregated according to geographical and administrative units in the country: communes (342 in Chile), sanitary districts called "Health Services" (28), and regions (13). The aggregated information was analyzed using univariate analysis (distribution characteristics), bivariate analysis (correlations and frequency tables), and tabulation of values for selected indicators for the communes. RESULTS: With respect to the first dimension, state of health, we found an inverse relationship between mortality and average family income in the communes (r = -0.24; P < 0.001; n = 191 communes). With health determinants, there were important differences among the communes with regard to average household income, years of schooling, literacy, quality of housing, drinking water supply, and the wastewater disposal system. In terms of resources for and the supply of health system services, the municipal governments of the communes with higher average household incomes tended to contribute more funds per beneficiary (r = 0.19; P = 0.013). The financial contributions from the national government were targeted well, but they only partially compensated for the more limited resources available in poorer communes. With respect to the utilization of health care services per beneficiary in the different sanitary districts, we found some large differences. In terms of the ratio between the highest rate of utilization in any of the districts and the lowest rate in any other district, the ratio for primary-care visits per beneficiary was 2.8, the ratio for emergency-care visits was 3.9, and the ratio for hospitalizations was 2.0. CONCLUSIONS: There are important geographical differences in Chile with respect to mortality and other health outcomes, income and environmental conditions, and the financing and utilization of health care services. The information that is collected regularly and is available to characterize the health-related variables frequently has limitations in terms of quality, sustainability, and access. In Chile it would be pointless to focus the greatest efforts on reorganizing the information systems. The existing indicators showing marked inequalities are adequate to support the planning of interventions aimed at making urgently needed improvements in the situation of the worst-off Chileans.

Chile↗
PubMed2000

[Critical analysis of health priorities determination in France].

Since the mid 1970's, reforms to the health care system were aimed at controlling expenditures. Furthermore, there was not much of a relationship between public health policies and expenditure control policies. The reforms of 1996 aimed to introduce a new paradigm. The French health care system, based until then upon the biomedical model, now must adopt public health tools: Definition of health objectives; Development of priorities; Evaluation; Allocation of resources based on needs; Public debates. The objective of this study is to evaluate the move toward defining priorities, three years after the introduction of this reform. The study focused on the type of priorities implemented (e.g. implicit or explicit priorities, access to health care services, or severity of health problems) and their links to the allocation of resources; and the practical development of priorities (e.g. political or technocratic procedure, the role of public debates). In France, priorities are defined by health problem and not by service. They are explicit, but the link to allocation of resources isn't clear. Despite a wide consultation, the system of defining priorities is more technocratic than political. Moreover, the system is more concerned with including health professionals (doctors, administrators) in this new approach to public health, than with taking public opinion into account.

Cost Control↗
PubMed2003

Determinants of health policy impact: comparative results of a European policymaker study.

OBJECTIVES: This article will use a new theoretical framework for the analysis of health policy impact introduced by Rütten et al. (2003). In particular, it will report on a comparative European study of policymakers' perception and evaluation of specific determinants of the policy impact, both in terms of output (implemented measures) and outcome (health behaviour change). Policy determinants investigated are goals, resources, obligations and opportunities as related to the policymaking process. METHODS: Theory is applied to a comparative analysis of prevention and health promotion policy in Belgium, Finland, Germany. The Netherlands, Spain and Switzerland. The study is MED2-part of a project that has developed a Methodology for the Analysis of the Rationality and Effectiveness of Prevention and Health Promotion Strategies (MAREPS) within the EU-BIO-program. A mail survey of 719 policymakers on the executive and administrative level selected by a focused sample procedure was conducted. This survey used policymakers' experience and evaluative expertise to analyse determinants of policy output and outcome. RESULTS: Regression analyses reveal differential predictive power of policy goals, resources, obligations, as well as of political, organisational and public opportunities. For instance, whereas resources, concreteness of goals, and public opportunities have significant importance for health outcome of policy, obligations and organisational opportunities significantly predict policy output. CONCLUSIONS: Results are discussed in terms of rationality and effectiveness of health policy. They indicate that six sensitising constructs derived from the theoretical framework represent equivalent structures across nations. They comprise a validated instrument that can be used for further comparative health policy research.

Europe↗
PubMed2000

[The behavioral determinants for health centers in health districts of urban Africa: results of a survey of households in Kinshasa, Congo].

This study analyses the choice determinants of the population for health centres through a survey of the behaviour of families in a representative sample of 1,000 households in the health districts of Kinshasa, Congo in 1997. For the most recent episode of illness, the respondents turned to seven types of care: the health centre (37%), private dispensaries (26.5%), self-medication through a pharmacy (23.9%), traditional practitioner (21%), traditional self-medication (16.9%), private outpatients' clinic (16.7%) and a reference hospital (10.4%). Past logistics have shown that patients resort to a health centre rather than another type of care structure (P = 0.05) when looking for quality care, reasonable prices and the availability of varied services. On the other hand, concern about the geographical proximity in relation to the family's residence calls for using the private dispensary. When looking for a doctor or the existence of a 'convention', families are more inclined to choose a private officially recognized outpatients' clinic. Those who had been looking for a solution to a special type of illness opted primarily for a traditional practitioner. In conclusion, the results of this study show that if people choose the care offered by health centres, it is because they judge it to be of good quality. The integrated care offered by the same technician, with a required training, is a major asset in the acceptability of the first line of primary health care in Kinshasa. This study suggests that it would no doubt be beneficial to integrate non-official private care structures into the primary health care system, as far as it is possible for them to achieve a level of quality comparable to that of the health centres. In order that the traditional practitioner might play an important complementary role in the realization of primary health care, even in urban areas, the possibility of promoting sites of communication should be studied. Moreover, considering the weak buying power of the city's inhabitants and the previous existence of tontines out of solidarity, the 'conventions' providing relief of health care costs, under the leadership of the local communities, should be integrated into the organization of the urban health system.

Adult↗
PubMed2001

Health motivation: a determinant of older adults' attendance at health promotion programs.

The primary purpose of conducting this study was to determine if there is a significant relation between health motivation and participation in health promotion programs in a sample of community-dwelling older adults (n = 106). Health motivation was measured using Cox's (1985) Health Self-Determinism Index, and participation in health promotion programs was measured by tallying the self-reported number of programs attended within the past year by each individual. The effects of selected demographic variables on these two variables were also examined. The conceptual framework guiding the study was the Health-Promoting Self-Care System Model (Simmons, 1990). Intrinsically motivated older persons attended fewer programs (p < .01) than those who were more extrinsically motivated. Higher educational level (p < .001) and fewer health problems (p < .01) emerged as significant predictor variables for intrinsic health motivation, and those with less formal education attended more health promotion programs (p < .05).

Aged↗
PubMed2005

The macro determinants of health expenditure in the United States and Canada: assessing the impact of income, age distribution and time.

This paper examines the determinants of real per capita health expenditures in order to assess the impact of age distribution, income and time using American state-level data for the period 1980-1998 and Canadian province-level data for the period 1975-2000. Ageing population distributions and income explain a relatively small portion of health expenditures when the impact of time effects, which is a partial proxy for technological change, is controlled for. However, the impact of age is of more concern given that cost increases are concentrated in the last few years of life and there may be cohort effects as the "Baby-Boom" generation ages. There is an urgent need to better understand the exact mechanisms driving health expenditure increases given that time accounts for approximately two-thirds of health expenditure increases and that its effect is non-linear.

Age Distribution↗
PubMed2002

A structural equation modeling approach to examining the predictive power of determinants of individuals' health expenditures.

Understanding the determinants of health expenditures is essential for a fair and effective utilization profiling, particularly in the setting of capitation rates in risk-adjustment models. The objective of the study was to examine the relative importance of determinants in predicting future health expenditures, using structural equation modeling. Based on Andersen's behavioral system model, individual determinants along with prior utilization and measures of health status from 1994 are evaluated in a longitudinal design for theirpredictive powerfor health expenditures in 1995. A total of 4,255 policy-holders enrolled in three health plans at Trigon BlueCross/BlueShield of Virginia who responded to a mail survey were included for analysis. Person-level annual charges for health services utilization were used as the dependent variable. Five health scales were excerpted from Health Survey SF-36 to represent an individual's health status. Excluding prior utilization in 1994, health status (gamma = -0.19, p < 0.001) and having diabetes (gamma = 0.08, p < 0.001) are two statistically significant predictors of health expenditures in 1995. Including prior utilization, both health status (gamma = -0.15, p < 0.001) and prior utilization (gamma = 0.15, p < 0.001) are the most important predictors, followed by having diabetes (gamma = 0.08, p < 0.001). Health status is a powerful predictor offuture health expenditures, even when prior utilization is controlled.

Adult↗