TY - JOUR
T1 - What is the data-defined length for short time from diagnosis to death that is associated with a low rate of palliative care enrolment for persons with colorectal cancer?
AU - Roach, Sheri
AU - Steenbeek, Audrey
AU - Abdolell, Mohamed
AU - Urquhart, Robin
AU - Johnston, Grace
PY - 2014
Y1 - 2014
N2 - Objective: Prior research has demonstrated that people who die shortly after receiving a cancer diagnosis are at increased risk for not being referred to palliative care. No previous studies have empirically derived the length of time between diagnosis and death associated with increased risk. The objective of this study was to identify the length of time between diagnosis and death associated with increased risk for non-enrolment in a palliative care programme. Methods: Binary recursive partitioning was employed to derive the cut-point for the number of days from colorectal cancer diagnosis to death predictive of a high risk for nonenrolment in a palliative care programme in two health districts in Nova Scotia, Canada. The study included all adults (≥ 20 years) who were diagnosed with colorectal cancer in the two districts between 1 January 2001 and 31 December 2005 and who died between 1 January 2001 and 31 December 2008 (n=894). Results: Individuals who died within 18.5 days following diagnosis were at highest risk for nonenrolment in palliative care. Of the 60 adults who died in <18.5 days, 16.7% were enrolled in a palliative care programme; of the 835 adults who died ≥ 18.5 days after diagnosis, 65.9% were enrolled. Conclusions: This data-driven approach may be used to define the short diagnosis-to-death time frame at which individuals are at increased risk for non-enrolment in palliative care programmes. This approach allows researchers to further investigate and compare empiricallyderived cut-points that identify those who die quickly and are at risk of not receiving palliative care.
AB - Objective: Prior research has demonstrated that people who die shortly after receiving a cancer diagnosis are at increased risk for not being referred to palliative care. No previous studies have empirically derived the length of time between diagnosis and death associated with increased risk. The objective of this study was to identify the length of time between diagnosis and death associated with increased risk for non-enrolment in a palliative care programme. Methods: Binary recursive partitioning was employed to derive the cut-point for the number of days from colorectal cancer diagnosis to death predictive of a high risk for nonenrolment in a palliative care programme in two health districts in Nova Scotia, Canada. The study included all adults (≥ 20 years) who were diagnosed with colorectal cancer in the two districts between 1 January 2001 and 31 December 2005 and who died between 1 January 2001 and 31 December 2008 (n=894). Results: Individuals who died within 18.5 days following diagnosis were at highest risk for nonenrolment in palliative care. Of the 60 adults who died in <18.5 days, 16.7% were enrolled in a palliative care programme; of the 835 adults who died ≥ 18.5 days after diagnosis, 65.9% were enrolled. Conclusions: This data-driven approach may be used to define the short diagnosis-to-death time frame at which individuals are at increased risk for non-enrolment in palliative care programmes. This approach allows researchers to further investigate and compare empiricallyderived cut-points that identify those who die quickly and are at risk of not receiving palliative care.
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U2 - 10.1136/bmjspcare-2014-000670
DO - 10.1136/bmjspcare-2014-000670
M3 - Article
C2 - 25096068
AN - SCOPUS:84924374192
SN - 2045-435X
VL - 4
SP - 377
EP - 380
JO - BMJ Supportive and Palliative Care
JF - BMJ Supportive and Palliative Care
IS - 4
ER -