Cancer survivors who fully participate in the PROFILES registry have better health-related quality of life than those who drop out

Quality of life Male BASE-LINE QUESTIONNAIRE Survivorship SYMPTOM CLUSTER dropout Article COLORECTAL-CANCER Cohort Studies Bias MISSING DATA NECK-CANCER Cancer Survivors Surveys and Questionnaires Attrition SUPPORTIVE CARE cancer Humans Patient Reported Outcome Measures Registries Cancer Aged Aged, 80 and over Patient-reported outcomes Dropout DEPRESSION 16. Peace & justice 3. Good health quality of life patient-reported outcomes PATIENT-REPORTED OUTCOMES Quality of Life bias atrrition ATTRITION Female
DOI: 10.1007/s11764-019-00793-7 Publication Date: 2019-09-06T17:13:34Z
ABSTRACT
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.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.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.Cancer survivors' HRQOL may be overestimated in longitudinal research due to attrition of the most unwell participants.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.
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