Sarah K Andersen1, Ruth Croxford2, Craig C Earle1,3,4,2, Simron Singh1,3, Matthew C Cheung1,3. 1. 1 University of Toronto, Toronto, Ontario, Canada. 2. 4 ICES, Toronto, Ontario, Canada. 3. 2 Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada. 4. 3 Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
Abstract
PURPOSE: Quality end-of-life care (EoLC) is a key aspect of oncology. Days at home in the last 6 months of life represents a novel, patient-driven quality indicator of EoLC. We measured days at home in a large population of patients with cancer in Ontario, Canada. Trends over time and predictors of more or less time at home were also determined. METHODS: We conducted a population-based retrospective study using health administrative data linked by unique, encoded identifiers and analyzed at the ICES. Quantile regression was used to determine significant predictors of more or less time at home. RESULTS: Of 72,987 patients who died of cancer in Ontario, Canada and met our inclusion criteria, the median number of days spent at home in the last 6 months of life was 164 (interquartile range [IQR], 144 to 175 days) of a possible 180 days. Patients with hematologic cancers spent significantly fewer days at home (156; IQR, 134 to 170 days). The strongest predictors of more time at home were male sex (+2.87 days relative to female sex; CI, 2.43 to 3.31 days) and receipt of palliative care before the last 6 months of life (+2.38 days; CI, 1.95 to 2.08 days). Additional predictors included income, age, cancer type, comorbidity burden, and health region. The majority of patients (69.7%) did not die at home. CONCLUSION: Days at home in the last 6 months of life, obtained from administrative data, can be used as a measure of quality EoLC. Predictors of days at home may prove valuable targets for future policy intervention.
PURPOSE: Quality end-of-life care (EoLC) is a key aspect of oncology. Days at home in the last 6 months of life represents a novel, patient-driven quality indicator of EoLC. We measured days at home in a large population of patients with cancer in Ontario, Canada. Trends over time and predictors of more or less time at home were also determined. METHODS: We conducted a population-based retrospective study using health administrative data linked by unique, encoded identifiers and analyzed at the ICES. Quantile regression was used to determine significant predictors of more or less time at home. RESULTS: Of 72,987 patients who died of cancer in Ontario, Canada and met our inclusion criteria, the median number of days spent at home in the last 6 months of life was 164 (interquartile range [IQR], 144 to 175 days) of a possible 180 days. Patients with hematologic cancers spent significantly fewer days at home (156; IQR, 134 to 170 days). The strongest predictors of more time at home were male sex (+2.87 days relative to female sex; CI, 2.43 to 3.31 days) and receipt of palliative care before the last 6 months of life (+2.38 days; CI, 1.95 to 2.08 days). Additional predictors included income, age, cancer type, comorbidity burden, and health region. The majority of patients (69.7%) did not die at home. CONCLUSION: Days at home in the last 6 months of life, obtained from administrative data, can be used as a measure of quality EoLC. Predictors of days at home may prove valuable targets for future policy intervention.
Authors: Daniel R Richardson; Norah L Crossnohere; Jaein Seo; Elihu Estey; Bernadette O'Donoghue; B Douglas Smith; John F P Bridges Journal: Cancer Epidemiol Biomarkers Prev Date: 2020-03-04 Impact factor: 4.254
Authors: Amy Ying Xin Yu; Jiming Fang; Joan Porter; Peter C Austin; Eric E Smith; Moira K Kapral Journal: BMJ Open Date: 2019-11-11 Impact factor: 2.692