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      Job loss and lower healthcare utilisation due to COVID-19 among older adults across 27 European countries

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          Abstract

          Background

          Older adults are at greater risk for becoming severely ill from COVID-19; however, the impact of the pandemic on their economic activity and non-COVID-19-related healthcare utilisation is not well understood. The aim of this study was to examine the prevalence and predictors of COVID-19-related unemployment and healthcare utilisation in a sample of older adults across 27 European countries.

          Methods

          We used data from the Survey of Health, Ageing and Retirement in Europe COVID-19 Survey, collected between June and August 2020. Participants (n=52 061) reported whether they lost a job, forwent medical treatment and whether their appointment was postponed due to COVID-19. Three-level models were estimated for each outcome to test the effects of individual, household and country-level characteristics.

          Results

          The mean prevalence of reported job loss, and forgone and postponed medical care was 19%, 12% and 26%, respectively. Job loss was associated with female sex, lower education and household income, and older age in women. For example, the OR of job loss, comparing primary versus tertiary (college) education, was 1.89 (95% CI 1.59 to 2.26). Forgone and postponed medical care was associated with older age in men, female sex and higher education. At the country level, postponed medical care was associated with more stringent governmental anti-COVID measures.

          Conclusion

          Job loss and lower healthcare utilisation for non-COVID-19-related reasons were common among older adults and were associated with several sociodemographic characteristics. Job loss appeared to disproportionally affect already economically vulnerable individuals, raising concerns about the exacerbation of social inequalities.

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          Most cited references34

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          A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)

          COVID-19 has prompted unprecedented government action around the world. We introduce the Oxford COVID-19 Government Response Tracker (OxCGRT), a dataset that addresses the need for continuously updated, readily usable and comparable information on policy measures. From 1 January 2020, the data capture government policies related to closure and containment, health and economic policy for more than 180 countries, plus several countries' subnational jurisdictions. Policy responses are recorded on ordinal or continuous scales for 19 policy areas, capturing variation in degree of response. We present two motivating applications of the data, highlighting patterns in the timing of policy adoption and subsequent policy easing and reimposition, and illustrating how the data can be combined with behavioural and epidemiological indicators. This database enables researchers and policymakers to explore the empirical effects of policy responses on the spread of COVID-19 cases and deaths, as well as on economic and social welfare.
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            Global, regional, and national age–sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

            The Lancet, 385(9963), 117-171
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              Covid-19: risk factors for severe disease and death

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                Author and article information

                Journal
                J Epidemiol Community Health
                J Epidemiol Community Health
                jech
                jech
                Journal of Epidemiology and Community Health
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                0143-005X
                1470-2738
                May 2021
                12 May 2021
                : jech-2021-216715
                Affiliations
                [1 ]departmentResearch Centre for Toxic Compounds in the Environment (RECETOX), Faculty of Science , Masaryk University , Brno, Czech Republic
                [2 ]departmentDepartment of Epidemiology & Public Health , University College London , London, UK
                Author notes
                [Correspondence to ] Dr Gabriela Ksinan Jiskrova, Masaryk University, Brno 625 00, Czech Republic; gabriela.ksinanova@ 123456recetox.muni.cz
                Author information
                http://orcid.org/0000-0001-5795-6917
                Article
                jech-2021-216715
                10.1136/jech-2021-216715
                8117469
                33980720
                e77f06d8-6b1c-4d8b-a972-712500fb06d6
                © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

                This article is made freely available for use in accordance with BMJ’s website terms and conditions for the duration of the covid-19 pandemic or until otherwise determined by BMJ. You may use, download and print the article for any lawful, non-commercial purpose (including text and data mining) provided that all copyright notices and trade marks are retained.

                History
                : 25 February 2021
                : 19 April 2021
                : 02 May 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010661, Horizon 2020 Framework Programme;
                Award ID: 857487
                Categories
                Original Research
                2474
                Custom metadata
                free

                Public health
                covid-19,multilevel modelling,economics,unemployment
                Public health
                covid-19, multilevel modelling, economics, unemployment

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