IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0278380.html
   My bibliography  Save this article

Catalogue of socioeconomic disparities and characteristics of 199+ chronic conditions—A nationwide register-based population study

Author

Listed:
  • Michael Falk Hvidberg
  • Anne Frølich
  • Sanne Lykke Lundstrøm

Abstract

Background: Real-world information on socioeconomic differences within and between chronic conditions represents an important data source for treatments and decision-makers executing and prioritising healthcare resources. Aims: The aim of this study was to estimate the prevalence and mean of socioeconomic disparities from educational, income, and socioeconomic positions of 199 chronic conditions and disease groups, including sex and age group estimates, for use in planning of care services and prioritisation, by healthcare professionals, decision-makers and researchers. Methods: The study population includes all Danish residents 16 years and above, alive on 1 January 2013 (n = 4,555,439). The data was established by linking seven national registers encompassing educational achievements, incomes, socioeconomic positions, hospital- and general practice services, and filled-in out-of-hospital prescriptions. The health register data were used to identify the 199+ chronic conditions. Socioeconomic differences were primarily measured as differences in educational prevalence levels from low to high educational achievements using a ratio. Furthermore, multiple binary logistic regression models were carried out to control for potential confounding and residual correlations of the crude estimates. Results: The prevalence of having one or more chronic conditions for patients with no educational achievement was 768 per thousand compared to 601.3 for patients with higher educational achievement (ratio 1.3). Across disease groups, the highest educational differences were found within disease group F–mental and behavioural (ratio 2.5), E–endocrine, nutritional and metabolic disease (ratio 2.4), I–diseases of the circulatory system (ratio 2.1) and, K–diseases of the digestive system (ratio 2.1). The highest educational differences among the 29 common diseases were found among schizophrenia (ratio 5.9), hyperkinetic disorders (ratio 5.2), dementia (ratio 4.9), osteoporosis (ratio 3.9), type 2 diabetes (ratio 3.8), chronic obstructive pulmonary disease COPD (ratio 3.3), heart conditions and stroke (ratios ranging from 2.3–3.1). Conclusions: A nationwide catalogue of socioeconomic disparities for 199+ chronic conditions and disease groups is catalogued and provided. The catalogue findings underline a large scope of socioeconomic disparities that exist across most chronic conditions. The data offer essential information on the socioeconomic disparities to inform future socially differentiated treatments, healthcare planning, etiological, economic, and other research areas.

Suggested Citation

  • Michael Falk Hvidberg & Anne Frølich & Sanne Lykke Lundstrøm, 2022. "Catalogue of socioeconomic disparities and characteristics of 199+ chronic conditions—A nationwide register-based population study," PLOS ONE, Public Library of Science, vol. 17(12), pages 1-43, December.
    • Handle: RePEc:plo:pone00:0278380
    DOI: 10.1371/journal.pone.0278380
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0278380
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0278380&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0278380?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Wilkinson, Richard G & Pickett, Kate E., 2006. "Income inequality and population health: A review and explanation of the evidence," Social Science & Medicine, Elsevier, vol. 62(7), pages 1768-1784, April.
    2. Detollenaere, Jens & Desmarest, Ann-Sophie & Boeckxstaens, Pauline & Willems, Sara, 2018. "The link between income inequality and health in Europe, adding strength dimensions of primary care to the equation," Social Science & Medicine, Elsevier, vol. 201(C), pages 103-110.
    3. Joseph Stiglitz & Jean-Paul Fitoussi & Peter Bofinger & Gøsta Esping-Andersen & James Galbraith & Ilene Grabel, 2014. "A Call for Policy Change in Europe," Challenge, Taylor & Francis Journals, vol. 57(4), pages 5-17.
    4. Mackenbach, Johan P., 2012. "The persistence of health inequalities in modern welfare states: The explanation of a paradox," Social Science & Medicine, Elsevier, vol. 75(4), pages 761-769.
    5. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    6. Ram, Rati, 2006. "Further examination of the cross-country association between income inequality and population health," Social Science & Medicine, Elsevier, vol. 62(3), pages 779-791, February.
    7. Babones, Salvatore J., 2008. "Income inequality and population health: Correlation and causality," Social Science & Medicine, Elsevier, vol. 66(7), pages 1614-1626, April.
    8. repec:dau:papers:123456789/10510 is not listed on IDEAS
    9. Nord, Erik, 2013. "Disability weights in the Global Burden of Disease 2010: Unclear meaning and overstatement of international agreement," Health Policy, Elsevier, vol. 111(1), pages 99-104.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Detollenaere, Jens & Desmarest, Ann-Sophie & Boeckxstaens, Pauline & Willems, Sara, 2018. "The link between income inequality and health in Europe, adding strength dimensions of primary care to the equation," Social Science & Medicine, Elsevier, vol. 201(C), pages 103-110.
    2. Rob Clark & Kara Snawder, 2020. "A Cross-National Analysis of Lifespan Inequality, 1950–2015: Examining the Distribution of Mortality Within Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(3), pages 705-732, April.
    3. Roberta Torre & Mikko Myrskylä, 2014. "Income inequality and population health: An analysis of panel data for 21 developed countries, 1975-2006," Population Studies, Taylor & Francis Journals, vol. 68(1), pages 1-13, March.
    4. Martin, Lisa & Baten, Joerg, 2022. "Inequality and Life Expectancy in Africa and Asia, 1820‐2000," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 40-59.
    5. Enrico Ivaldi & Guido Bonatti & Riccardo Soliani, 2018. "Objective and Subjective Health: An Analysis of Inequality for the European Union," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(3), pages 1279-1295, August.
    6. Ioana van Deurzen & Wim van Oorschot & Erik van Ingen, 2014. "The Link between Inequality and Population Health in Low and Middle Income Countries: Policy Myth or Social Reality?," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-22, December.
    7. Pickett, Kate E. & Wilkinson, Richard G., 2015. "Income inequality and health: A causal review," Social Science & Medicine, Elsevier, vol. 128(C), pages 316-326.
    8. Ioana Pop & Erik Ingen & Wim Oorschot, 2013. "Inequality, Wealth and Health: Is Decreasing Income Inequality the Key to Create Healthier Societies?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 113(3), pages 1025-1043, September.
    9. Seemab Gillani & Muhammad Nouman Shafiq & Tusawar Iftikhar Ahmad, 2019. "Military Expenditures and Health Outcomes: A Global Perspective," iRASD Journal of Energy and Environment, International Research Association for Sustainable Development (iRASD), vol. 1(1), pages 1-20, June.
    10. Mihai PĂUNICĂ & Alexandru MANOLE & Cătălina MOTOFEI & Gabriela - Lidia TĂNASE, 2020. "Life Expectancy from the Perspective of Global and Individual Wealth and Expenditures: A Granger Causality Study of Some Eu Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 170-184, December.
    11. Alassane Drabo, 2011. "Impact of Income Inequality on Health: Does Environment Quality Matter?," Environment and Planning A, , vol. 43(1), pages 146-165, January.
    12. Johan Fritzell & Olli Kangas & Jennie Bacchus-hertzman & Blomgren, J. (Jenni), 2012. "GINI DP 64: Cross-Temporal and Cross-National Poverty and Mortality Rates among Developed Countries," GINI Discussion Papers 64, AIAS, Amsterdam Institute for Advanced Labour Studies.
    13. Cinzia Di Novi & Anna Marenzi & Dino Rizzi, 2018. "Do healthcare tax credits help poor-health individuals on low incomes?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(2), pages 293-307, March.
    14. Luo, Weixiang & Xie, Yu, 2020. "Economic growth, income inequality and life expectancy in China," Social Science & Medicine, Elsevier, vol. 256(C).
    15. Thompson, Kristina & Ophem, Johan van & Wagemakers, Annemarie, 2019. "Studying the impact of the Eurozone’s Great Recession on health: Methodological choices and challenges," Economics & Human Biology, Elsevier, vol. 35(C), pages 162-184.
    16. Petri Böckerman, 2013. "Top Income Shares and Mortality: Evidence from Advanced Countries," Journal of Income Distribution, Ad libros publications inc., vol. 22(1), pages 57-69, March.
    17. Daza, Sebastian & palloni, alberto, 2018. "Income Mobility, Income Inequality and Mortality in the U.S," SocArXiv gdz2a, Center for Open Science.
    18. Oberndorfer, Moritz & Leyland, Alastair H. & Pearce, Jamie & Grabovac, Igor & Hannah, Mary K. & Dorner, Thomas E., 2023. "Unequally Unequal? Contextual-level status inequality and social cohesion moderating the association between individual-level socioeconomic position and systemic chronic inflammation," Social Science & Medicine, Elsevier, vol. 333(C).
    19. Natalia Vincens & Martin Stafström, 2015. "Income Inequality, Economic Growth and Stroke Mortality in Brazil: Longitudinal and Regional Analysis 2002-2009," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-12, September.
    20. Mansyur, Carol & Amick, Benjamin C. & Harrist, Ronald B. & Franzini, Luisa, 2008. "Social capital, income inequality, and self-rated health in 45 countries," Social Science & Medicine, Elsevier, vol. 66(1), pages 43-56, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0278380. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.