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Social inequalities, length of hospital stay for chronic conditions and the mediating role of comorbidity and discharge destination: A multilevel analysis of hospital administrative data linked to the population census in Switzerland

Author

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  • Lucy Bayer-Oglesby
  • Andrea Zumbrunn
  • Nicole Bachmann
  • on behalf of the SIHOS Team

Abstract

Social factors are recognized determinants of morbidity and mortality and also have an impact on use of medical services. The objective of this study was to assess the associations of educational attainment, social and financial resources, and migration factors with length of hospital stays for chronic conditions. In addition, the study investigated the role of comorbidity and discharge destination in mediating these associations. The study made use of nationwide inpatient data that was linked with Swiss census data. The study sample included n = 141,307 records of n = 92,623 inpatients aged 25 to 84 years, hospitalized between 2010 and 2016 for a chronic condition. Cross-classified multilevel models and mediation analysis were performed. Patients with upper secondary and compulsory education stayed longer in hospital compared to those with tertiary education (β 0.24 days, 95% CI 0.14–0.33; β 0.37, 95% CI 0.27–0.47, respectively) when taking into account demographic factors, main diagnosis and clustering on patient and hospital level. However, these effects were almost fully mediated by burden of comorbidity. The effect of living alone on length of stay (β 0.60 days, 95% CI 0.50–0.70) was partially mediated by both burden of comorbidities (33%) and discharge destination (30.4%). (Semi-) private insurance was associated with prolonged stays, but an inverse effect was observed for colon and breast cancer. Allophone patients had also prolonged hospital stays (β 0.34, 95% CI 0.13–0.55). Hospital stays could be a window of opportunity to discern patients who need additional time and support to better cope with everyday life after discharge, reducing the risks of future hospital stays. However, inpatient care in Switzerland seems to take into account rather obvious individual needs due to lack of immediate support at home, but not necessarily more hidden needs of patients with low health literacy and less resources to assert their interests within the health system.

Suggested Citation

  • Lucy Bayer-Oglesby & Andrea Zumbrunn & Nicole Bachmann & on behalf of the SIHOS Team, 2022. "Social inequalities, length of hospital stay for chronic conditions and the mediating role of comorbidity and discharge destination: A multilevel analysis of hospital administrative data linked to the," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-30, August.
    • Handle: RePEc:plo:pone00:0272265
    DOI: 10.1371/journal.pone.0272265
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    References listed on IDEAS

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    1. Aigner, Dennis J., 1973. "Regression with a binary independent variable subject to errors of observation," Journal of Econometrics, Elsevier, vol. 1(1), pages 49-59, March.
    2. Weaver, France M. & Weaver, Bryce A., 2014. "Does availability of informal care within the household impact hospitalisation?," Health Economics, Policy and Law, Cambridge University Press, vol. 9(1), pages 71-93, January.
    3. repec:plo:pmed00:1001885 is not listed on IDEAS
    4. Simon Wieser & Marco Riguzzi & Mark Pletscher & Carola A. Huber & Harry Telser & Matthias Schwenkglenks, 2018. "How much does the treatment of each major disease cost? A decomposition of Swiss National Health Accounts," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1149-1161, November.
    5. AIGNER, Dennis J., 1973. "Regression with a binary independent variable subject to errors of observation," LIDAM Reprints CORE 130, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. repec:plo:pmed00:0040297 is not listed on IDEAS
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