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DC Field | Value | Language |
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dc.contributor.author | Mitchell, R. J. | - |
dc.contributor.author | Delaney, G. P. | - |
dc.contributor.author | Arnolda, G. | - |
dc.contributor.author | Liauw, W. | - |
dc.contributor.author | Lystad, R. P. | - |
dc.contributor.author | Braithwaite, J. | - |
dc.date.accessioned | 2024-12-11T00:34:48Z | - |
dc.date.available | 2024-12-11T00:34:48Z | - |
dc.date.issued | 2024 | - |
dc.identifier.issn | 18777821 (ISSN) | - |
dc.identifier.uri | https://swslhd.intersearch.com.au/swslhdjspui/handle/1/13219 | - |
dc.description.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. 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. 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. Conclusions: Comorbidities should be considered in cancer treatment and management decision making. Caring for people diagnosed with cancer with multimorbidity requires multidisciplinary shared care. � 2024 The Authors | - |
dc.publisher | Elsevier Ltd | - |
dc.subject | Cancer Comorbidities Hospital service use Trajectory antineoplastic agent adult aged alcoholism anxiety disorder Article breast cancer cancer chemotherapy cancer diagnosis cancer patient cancer radiotherapy cancer registry Charlson Comorbidity Index cohort analysis comorbidity comparative study depression diabetes mellitus disadvantaged population disease severity female gastrointestinal cancer head and neck cancer health care utilization hospital mortality hospital service human kidney disease liver disease major clinical study male malignant neoplasm metastasis middle aged multiple chronic conditions New South Wales predictive value private hospital public hospital respiratory tract cancer retrospective study rural population skin cancer social status thyroid cancer upper gastrointestinal tract urogenital tract cancer | - |
dc.title | Three-year hospital service use trajectories of people diagnosed with cancer: A retrospective cohort study | - |
dc.type | Journal Article | - |
dc.description.affiliates | Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia Maridulu Budyari Gumal - Sydney Partnership for Health, Education, Research and Enterprise (SPHERE), University of New South Wales, Sydney, Australia Cancer Therapy Centre, Liverpool Hospital, Sydney, Australia Collaboration for Cancer Outcomes Research and Evaluation, South-Western Sydney Clinical School, University of New South Wales, Sydney, Australia University of New South Wales School of Clinical Medicine, Sydney, Australia Cancer Care Centre, St George Hospital, Kogarah, Australia | - |
dc.identifier.doi | 10.1016/j.canep.2024.102676 | - |
dc.type.studyortrial | Article | - |
dc.identifier.journaltitle | Cancer Epidemiology | - |
Appears in Collections: | Liverpool Hospital |
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