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      Associations of lack of voluntary private insurance and out-of-pocket expenditures with health inequalities. Evidence from an international longitudinal survey in countries with universal health coverage

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          Abstract

          Objectives

          In countries with universal health coverage (UHC), national public health insurances cover 70% of health expenditures on average, but health care user fees and out-of-pocket expenditures have been neglected in empirical patient-centered health inequality research. This study is the first to investigate how health care-related factors are associated with health status among middle-aged and elderly people—vulnerable groups for the burden of illness—in countries with UHC.

          Design

          Longitudinal observational cohort study.

          Setting

          Population-based cohort Survey of Health, Ageing and Retirement in Europe (SHARE) in twelve countries with UHC.

          Participants

          Non-institutionalized people aged 50 and older (n = 29,260). Two subsamples were also used: participants without global activity limitation at baseline (n = 16,879) and participants without depression at baseline (n = 21,178).

          Main outcome measures

          Risk of death, risk of global activity limitations, and risk of depression. We used mixed-effects Cox proportional hazards regressions to estimate hazard ratios (HR) for all-cause mortality, physical limitations, and depression.

          Results

          Having a voluntary private insurance to cover health expenses not included in the public health care system (44.1% of the total sample) was a protective factor for all outcomes (HR≤0.91), controlling for a large range of socio-economic variables. On the contrary, having out-of-pocket expenditures (62.4%) was a risk factor (HR≥1.12).

          Conclusions

          UHC systems are not free from health inequalities: there is a potential effect of lack of voluntary private insurance and out-of-pocket expenditures on mortality and health. Health care-related factors should be at focus in future researches designed to understand and address health inequalities. Reducing out-of-pocket expenditures and developing voluntary private insurance may protect against premature illness and death.

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          Most cited references26

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          Data Resource Profile: the Survey of Health, Ageing and Retirement in Europe (SHARE).

          SHARE is a unique panel database of micro data on health, socio-economic status and social and family networks covering most of the European Union and Israel. To date, SHARE has collected three panel waves (2004, 2006, 2010) of current living circumstances and retrospective life histories (2008, SHARELIFE); 6 additional waves are planned until 2024. The more than 150 000 interviews give a broad picture of life after the age of 50 years, measuring physical and mental health, economic and non-economic activities, income and wealth, transfers of time and money within and outside the family as well as life satisfaction and well-being. The data are available to the scientific community free of charge at www.share-project.org after registration. SHARE is harmonized with the US Health and Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA) and has become a role model for several ageing surveys worldwide. SHARE's scientific power is based on its panel design that grasps the dynamic character of the ageing process, its multidisciplinary approach that delivers the full picture of individual and societal ageing, and its cross-nationally ex-ante harmonized design that permits international comparisons of health, economic and social outcomes in Europe and the USA.
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            Assessing the validity of the Global Activity Limitation Indicator in fourteen European countries

            Background The Global Activity Limitation Indicator (GALI), the measure underlying the European indicator Healthy Life Years (HLY), is widely used to compare population health across countries. However, the comparability of the item has been questioned. This study aims to further validate the GALI in the adult European population. Methods Data from the European Health Interview Survey (EHIS), covering 14 European countries and 152,787 individuals, were used to explore how the GALI was associated with other measures of disability and whether the GALI was consistent or reflected different disability situations in different countries. Results When considering each country separately or all combined, we found that the GALI was significantly associated with measures of activities of daily living, instrumental activity of daily living, and functional limitations (P < 0.001 in all cases). Associations were largest for activity of daily living and lowest though still high for functional limitations. For each measure, the magnitude of the association was similar across most countries. Overall, however, the GALI differed significantly between countries in terms of how it reflected each of the three disability measures (P < 0.001 in all cases). We suspect cross-country differences in the results may be due to variations in: the implementation of the EHIS, the perception of functioning and limitations, and the understanding of the GALI question. Conclusion The study both confirms the relevance of this indicator to measure general activity limitations in the European population and the need for caution when comparing the level of the GALI from one country to another. Electronic supplementary material The online version of this article (doi:10.1186/1471-2288-15-1) contains supplementary material, which is available to authorized users.
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              Prevalence of depressive symptoms and syndromes in later life in ten European countries: the SHARE study.

              The EURO-D, a12-item self-report questionnaire for depression, was developed with the aim of facilitating cross-cultural research into late-life depression in Europe. To describe the national variation in depression symptoms and syndrome prevalence across ten European countries. The EURO-D was administered to cross-sectional nationally representative samples of non-institutionalised persons aged > or =50 years (n=22 777). The effects of age, gender, education and cognitive functioning on individual symptoms and EURO-D factor scores were estimated. Country-specific depression prevalence rates and mean factor scores were re-estimated, adjusted for these compositional effects. The prevalence of all symptoms was higher in the Latin ethno-lingual group of countries, especially symptoms related to motivation. Women scored higher on affective suffering; older people and those with impaired verbal fluency scored higher on motivation. The prevalence of individual EURO-D symptoms and of probable depression (cut-off score > or =4) varied consistently between countries. Standardising for effects of age, gender, education and cognitive function suggested that these compositional factors did not account for the observed variation.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: SupervisionRole: ValidationRole: Writing – review & editing
                Role: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                9 October 2018
                2018
                : 13
                : 10
                : e0204666
                Affiliations
                [1 ] Division of Prison Health, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
                [2 ] Life Course and Social Inequality Research Centre, University of Lausanne, Lausanne, Switzerland
                [3 ] Institute of Psychology, University of Lausanne, Lausanne, Switzerland
                [4 ] Vulnerable Population Center, Department of Ambulatory Care and Community Medicine, University of Lausanne & Lausanne University Hospital, Lausanne, Switzerland
                West Chester University of Pennsylvania, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-5347-5937
                Article
                PONE-D-18-09517
                10.1371/journal.pone.0204666
                6177131
                30300369
                467569df-0ecd-4ad5-a812-cae250c4a50e
                © 2018 Baggio et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 30 March 2018
                : 12 September 2018
                Page count
                Figures: 0, Tables: 3, Pages: 13
                Funding
                Funded by: The SHARE data collection has been primarily funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812) and FP7 (SHARE-PREP: N°211909, SHARE-LEAP: N°227822, SHARE M4: N°261982). Additional funding from the German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the U.S. National Institute on Aging (U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C) and from various national funding sources is gratefully acknowledged (see www.share-project.org).
                Award Recipient :
                The SHARE data collection has been primarily funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812) and FP7 (SHARE-PREP: N°211909, SHARE-LEAP: N°227822, SHARE M4: N°261982). Additional funding from the German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the U.S. National Institute on Aging (U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815,R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C) and from various national funding sources is gratefully acknowledged (see www.share-project.org). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Social Sciences
                Economics
                Health Economics
                Health Insurance
                Medicine and Health Sciences
                Health Care
                Health Economics
                Health Insurance
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                Social Sciences
                Economics
                Health Economics
                Medicine and Health Sciences
                Health Care
                Health Economics
                Medicine and Health Sciences
                Geriatrics
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mood Disorders
                Depression
                Geriatric Depression
                Medicine and Health Sciences
                Geriatrics
                Geriatric Psychiatry
                Geriatric Depression
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Geriatric Psychiatry
                Geriatric Depression
                People and Places
                Population Groupings
                Age Groups
                Elderly
                Medicine and Health Sciences
                Epidemiology
                Medical Risk Factors
                Medicine and Health Sciences
                Public and Occupational Health
                Global Health
                Custom metadata
                Data of the SHARE study are available from http://www.share-project.org/data-access.html third party data (conditions of use: http://www.share-project.org/data-access/share-conditions-of-use.html). The authors did not have any special access privileges and others would be able to access these data in the same manner as the authors.

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