Patterns of Multimorbidity and Differences in Healthcare Utilization and Complexity Among Acutely Hospitalized Medical Patients (≥65 Years) - A Latent Class Approach

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

DOI

  • Helle Gybel Juul-Larsen, Københavns Universitet
  • ,
  • Line Due Christensen
  • Thomas Bandholm, Københavns Universitet
  • ,
  • Ove Andersen, Københavns Universitet
  • ,
  • Thomas Kallemose, Københavns Universitet
  • ,
  • Lillian Mørch Jørgensen, Københavns Universitet
  • ,
  • Janne Petersen, Københavns Universitet, Bispebjerg og Frederiksberg Universitets Hospital

Purpose: The majority of acutely admitted older medical patients are multimorbid, receive multiple drugs, and experience a complex treatment regime. To be able to optimize treatment and care, we need more knowledge of the association between different patterns of multimorbidity and healthcare utilization and the complexity thereof. The purpose was therefore to investigate patterns of multimorbidity in a Danish national cohort of acutely hospitalized medical patients aged 65 and older and to determine the association between these multimorbid patterns with the healthcare utilization and complexity.

Patients and Methods: Longitudinal cohort study of 129,900 (53% women) patients. Latent class analysis (LCA) was used to develop patterns of multimorbidity based on 22 chronic conditions ascertained from Danish national registers. A latent class regression was used to test for differences in healthcare utilization and healthcare complexity among the patterns measured in the year leading up to the index admission.

Results: LCA identified eight distinct multimorbid patterns. Patients belonging to multimorbid patterns including the major chronic conditions; diabetes and chronic obstructive pulmonary disease was associated with higher odds of healthcare utilization and complexity than the reference pattern ("Minimal chronic conditions"). The pattern with the highest number of chronic conditions did not show the highest healthcare utilization nor complexity.

Conclusion: Our study showed that chronic conditions cluster together and that these patterns differ in healthcare utilization and complexity. Patterns of multimorbidity have the potential to be used in epidemiological studies of healthcare planning but should be confirmed in other population-based studies.

OriginalsprogEngelsk
TidsskriftClinical epidemiology
Vol/bind12
Sider (fra-til)245-259
Antal sider15
ISSN1179-1349
DOI
StatusUdgivet - 2020

Bibliografisk note

© 2020 Juul-Larsen et al.

Se relationer på Aarhus Universitet Citationsformater

ID: 185708975