Characteristics influencing location of death for children with life-limiting illness

Arch Dis Child. 2013 Jun;98(6):419-24. doi: 10.1136/archdischild-2012-301893. Epub 2013 Apr 18.

Abstract

Objective: To determine whether demographic and diagnostic characteristics were associated with location of death in a series of children with life-limiting illnesses.

Design: A population-level case series was carried out by reviewing mortality records. Sociodemographic characteristics, diagnosis and referral to paediatric palliative care (PPC) were analysed for association with location of death.

Setting: New Zealand

Participants: Children and young people aged 28 days-18 years who died from a life-limiting illness between 2006 and 2009 inclusive.

Main outcome measures: Location of death-home, hospital, other.

Results: Of 494 deaths, 53.6% (256/494) died in hospital and 41.9% (203/494) died at home. Asian (OR=2.66, 95% CI 1.17 to 6.04) and Pacific children (OR=2.22, 95% CI 1.15 to 4.29) had an increased risk of death in hospital compared with European children, while children with cancer (adjusted OR=0.48, 95% CI 0.3 to 0.75) and children referred to the PPC service (adjusted OR=0.60, 95% CI 0.38 to 0.96) had a decreased risk. Population-attributable risk for referral to the PPC service was 28.2% (95% CI 11.25 to 47.75).

Conclusions: Most children in New Zealand with a life-limiting illness die in hospital with a significant influence resulting from ethnic background, diagnosis and referral to the PPC service. These findings have implications for resourcing PPC services and end-of-life care.

Keywords: Paediatric Practice; Palliative Care.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Asian People / ethnology*
  • Child
  • Child Mortality / ethnology*
  • Child, Preschool
  • Death
  • Hospital Mortality / ethnology*
  • Humans
  • Infant
  • Native Hawaiian or Other Pacific Islander / ethnology*
  • New Zealand
  • Residence Characteristics*
  • Retrospective Studies
  • Terminal Care / statistics & numerical data*
  • White People / ethnology*