Clinical and Socio-Demographic Predictors of Home Hospice Patients Dying at Home: A Retrospective Analysis of Hospice Care Association's Database in Singapore

J Pain Symptom Manage. 2017 Jun;53(6):1035-1041. doi: 10.1016/j.jpainsymman.2017.01.008. Epub 2017 Feb 11.

Abstract

Context: Hospice care can be delivered in different settings, but many patients choose to receive it at home because of familiar surroundings. Despite their preferences, not every home hospice patient manages to die at home.

Objective: To examine the independent factors associated with home hospice patient dying at home.

Methods: Retrospective analysis of Hospice Care Association's database. Hospice Care Association is the largest home hospice provider in Singapore. The study included all patients who were admitted into home hospice service from January 1, 2004 to December 31, 2013. Cox proportional hazards modeling with time as constant was used to study the relationship between independent variables and home death.

Results: A total of 19,721 patients were included in the study. Females (adjusted risk ratio [ARR] 1.09, 95% CI 1.04-1.15), older patients (ARR 1.01, 95% CI 1.00-1.01), shorter duration of home hospice stay (ARR 0.88, 95% CI 0.82-0.94), fewer episodes of hospitalization (ARR 0.81, 95% CI 0.75-0.86), living with caregivers (ARR 1.54, 95% CI 1.05-2.26), doctor (ARR 1.05, 95% CI 1.01-1.08) and nurse (ARR 1.06, 95% CI 1.04-1.08) visits were positive predictors of dying-at-home. Diagnosis of cancer (ARR 0.93, 95% CI 0.86-1.00) was a negative predictor of dying-at-home.

Conclusion: Female, older age, living with a caregiver, non-cancer diagnosis, more doctor and nurse visits, shorter duration of home hospice stays, and fewer episodes of acute hospitalizations are predictive of dying-at-home for home hospice patients.

Keywords: Palliative care; cancer; home care; home hospice; hospice care; neoplasm; place of death.

MeSH terms

  • Aged
  • Death*
  • Female
  • Home Care Services*
  • Hospice Care*
  • Humans
  • Male
  • Neoplasms / mortality
  • Neoplasms / therapy
  • Proportional Hazards Models
  • Retrospective Studies
  • Risk Factors
  • Singapore / epidemiology