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Three-year hospital service use trajectories of people diagnosed with cancer: A retrospective cohort study.
- Source :
-
Cancer epidemiology [Cancer Epidemiol] 2024 Dec; Vol. 93, pp. 102676. Date of Electronic Publication: 2024 Sep 19. - Publication Year :
- 2024
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Abstract
- Background: Information regarding hospital service use by people newly diagnosed with cancer can inform patterns of healthcare utilisation and resource demands. This study aims to identify characteristics of group-based trajectories of hospital service use three years after an individual was diagnosed with cancer; and determine factors predictive of trajectory group membership.<br />Method: A group-based trajectory analysis of hospital service use of people aged ≥30 years who had a new diagnosis of cancer during 2018 in New South Wales, Australia was conducted. Linked cancer registry, hospital and mortality data were examined for a three-year period after diagnosis. Group-based trajectory models were derived based on number of hospital admissions. Multinominal logistic regression examined predictors of trajectory group membership.<br />Results: Of the 44,577 new cancer diagnosis patients, 29,085 (65.2 %) were hospitalised at least once since their cancer diagnosis. Four distinct trajectory groups of hospital users were identified: Low (68.4 %), Very-Low (25.1 %), Moderate-Chronic (2.2 %), and Early-High (4.2 %). Key predictors of trajectory group membership were age group, cancer type, degree of cancer spread, prior history of cancer, receiving chemotherapy, and presence of comorbidities, including renal disease, moderate/serious liver disease, or anxiety.<br />Conclusions: Comorbidities should be considered in cancer treatment and management decision making. Caring for people diagnosed with cancer with multimorbidity requires multidisciplinary shared care.<br />Competing Interests: Declaration of Competing Interest The authors declare no completing interests.<br /> (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1877-783X
- Volume :
- 93
- Database :
- MEDLINE
- Journal :
- Cancer epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 39303658
- Full Text :
- https://doi.org/10.1016/j.canep.2024.102676