Predicting place of death of patients with advanced cancer receiving home-based palliative care services in Iran

• Published in: BMC palliative care Vol. 23; no. 1; pp. 220 - 12
• Main Authors: Zare, Mohammad-Sajad, Feizi, Awat
• Format: Journal Article
• Language: English
• Published: England BioMed Central 04.09.2024; BMC
• Subjects: Adult; Aged; Aged, 80 and over; Attitude to Death; Cancer; Caregivers; Cross-Sectional Studies; End-of-life; Female; Home Care Services - standards; Home Care Services - statistics & numerical data; Hospice; Hospitals; Humans; Iran - epidemiology; Logistic Models; Male; Malignant disease; Marital status; Middle Aged; Neoplasia; Neoplasms - mortality; Neoplasms - therapy; Oncology; Palliative care; Palliative Care - methods; Palliative Care - standards; Palliative Care - statistics & numerical data; Patients; Regression analysis; Systematic review; Terminal care; Terminal Care - methods; Terminal Care - standards; Terminal Care - statistics & numerical data; Topography; Variables; Iran; Middle East; End-of-life; Hospice; Terminal care; Oncology; Malignant disease; Neoplasia
• ISSN: 1472-684X; 1472-684X
• DOI: 10.1186/s12904-024-01550-z

While home is frequently expressed as the favorite place of death (PoD) among terminally ill cancer patients, various factors affect the fulfillment of this wish. The determinants of the PoD of cancer patients in countries without healthcare system-integrated palliative and supportive care have not been studied before. This study aimed at identifying the predictors of the PoD of patients who suffer from advanced cancer by developing a reliable predictive model among who received home-based palliative care in Iran as a representative of the countries with isolated provision of palliative care services. In a cross-sectional study, electronic records of 4083 advanced cancer patients enrolled in the Iranian Cancer Control Center (MACSA) palliative homecare program, who died between February 2018 and February 2020 were retrieved. Multivariable binary logistic regression analysis as well as subgroup analyses (location, sex, marital status, and tumor topography) was performed to identify the predictors of PoD. Of the 2398 cases included (mean age (SD) = 64.17 (14.45) year, 1269 (%52.9) male), 1216 (50.7%) patients died at home. Older age, presence and intensity of medical homecare in the last two weeks and registration in the Tehran site of the program were associated with dying at home (P < 0.05). Gynecological or hematological cancers, presence and intensity of the calls received from the remote palliative care unit in the last two weeks were predictors of death at the hospital (p < 0.05). The model was internally and externally validated (AUC = 0.723 (95% CI = 0.702-0.745; P < 0.001) and AUC = 0.697 (95% CI = 0.631-0.763; P < 0.001) respectively). Our model highlights the demographic, illness-related and environmental determinants of the PoD in communities with patchy provision of palliative care. It also urges policymakers and service providers to identify and take the local determinant of the place of death into account to match the goals of palliative and supportive services with the patient preferences.