Abstract
METHODS
Sociodemographic, clinical, and HRQOL data were collected annually from a cohort of 2625 colorectal cancer survivors between 2010 and 2015. Participant characteristics according to time of dropout were compared using analysis of variance and chi-square tests. Predictors of attrition were examined in logistic regression analysis. Multilevel linear mixed models were constructed to investigate associations between attrition and HRQOL over time.
CONCLUSIONS
Cancer survivors' HRQOL may be overestimated in longitudinal research due to attrition of the most unwell participants.
RESULTS
Participants who dropped out were more likely to be female (OR = 1.23, CI = 1.02-1.47), older (OR = 1.20, CI = 1.09-1.33), less educated (OR = 1.64, CI = 1.30-2.11), and to have depressive symptoms (OR = 1.84, CI = 1.39-2.44) than full responders, and less likely to have high socioeconomic status (OR = 0.74, CI = 0.61-0.94). Participants who dropped out earlier reported significantly worse HRQOL, functioning, and psychosocial symptoms, which declined at a steeper rate over time, than full responders.
IMPLICATIONS FOR CANCER SURVIVORS
Cancer survivors with the poorest health are at risk of dropping out of PROFILES and possibly withdrawing from other activities. Optimizing participation in PROFILES-a potential mechanism for providing information and access to support-is an avenue for keeping this group engaged.
PURPOSE
Attrition and subsequent missing data pose a challenge in longitudinal research in oncology. This study examined factors associated with attrition in the PROFILES registry, and its impact on observed health-related quality of life (HRQOL) estimates.