Ontology highlight
ABSTRACT: Background
Factors associated with place of death inform policies with respect to allocating end-of-life care resources and tailoring supportive measures.Objective
To determine factors associated with non-hospital deaths among cancer patients.Design
Retrospective cohort study of cancer decedents, examining factors associated with non-hospital deaths using multinomial logistic regression with hospital deaths as the reference category.Setting/subjects
Cancer patients (n = 15254) in Singapore who died during the study period from January 1, 2012 till December 31, 2105 at home, acute hospital, long-term care (LTC) or hospice were included.Results
Increasing age (categories ≥65 years: RRR 1.25-2.61), female (RRR 1.40; 95% CI 1.28-1.52), Malays (RRR 1.67; 95% CI 1.47-1.89), Brain malignancy (RRR 1.92; 95% CI 1.15-3.23), metastatic disease (RRR 1.33-2.01) and home palliative care (RRR 2.11; 95% CI 1.95-2.29) were associated with higher risk of home deaths. Patients with low socioeconomic status were more likely to have hospice or LTC deaths: those living in smaller housing types had higher risk of dying in hospice (1-4 rooms apartment: RRR 1.13-3.17) or LTC (1-5 rooms apartment: RRR 1.36-4.11); and those with Medifund usage had higher risk of dying in LTC (RRR 1.74; 95% CI 1.36-2.21). Patients with haematological malignancies had increased risk of dying in hospital (categories of haematological subtypes: RRR 0.06-0.87).Conclusions
We found key sociodemographic and clinical factors associated with non-hospital deaths in cancer patients. More can be done to enable patients to die in the community and with dignity rather than in a hospital.
SUBMITTER: Zhuang Q
PROVIDER: S-EPMC7179880 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Zhuang Qingyuan Q Lau Zheng Yi ZY Ong Whee Sze WS Yang Grace Meijuan GM Tan Kelvin Bryan KB Ong Marcus Eng Hock MEH Wong Ting Hway TH
PloS one 20200423 4
<h4>Background</h4>Factors associated with place of death inform policies with respect to allocating end-of-life care resources and tailoring supportive measures.<h4>Objective</h4>To determine factors associated with non-hospital deaths among cancer patients.<h4>Design</h4>Retrospective cohort study of cancer decedents, examining factors associated with non-hospital deaths using multinomial logistic regression with hospital deaths as the reference category.<h4>Setting/subjects</h4>Cancer patient ...[more]