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RESEARCH PRODUCT
Factors associated with non-participation and dropout among cancer patients in a cluster-randomised controlled trial
Susanne BriestKirsten PapsdorfHubert WirtzAndreas DietzAnette KerstingSusanne SingerDietger NiederwieserJulia RoickJürgen MeixensbergerJens EinenkelHelge DankerFranziska SchiefkeArne DietrichTorsten PrietzelFlorian LordickJoachim MössnerJ.-u. Stolzenburgsubject
AdultEmploymentMalePatient DropoutsDiseaselaw.inventionYoung Adult03 medical and health sciences0302 clinical medicineRandomized controlled trialRisk FactorslawNeoplasmsSurveys and QuestionnairesOdds RatioCluster AnalysisHumansMedicine030212 general & internal medicineCluster randomised controlled trialLost to follow-upDropout (neural networks)AgedRandomized Controlled Trials as TopicAged 80 and overMarital Statusbusiness.industryAge FactorsOdds ratioMiddle AgedClinical trialOncology030220 oncology & carcinogenesisMultivariate AnalysisIncomeEducational StatusMarital statusFemalePatient ParticipationbusinessDemographydescription
We investigated the impact of demographic and disease related factors on non-participation and dropout in a cluster-randomised behavioural trial in cancer patients with measurements taken between hospitalisation and 6 months thereafter. The percentages of non-participation and dropout were documented at each time point. Factors considered to be potentially related with non-participation and dropout were as follows: age, sex, marital status, education, income, employment status, tumour site and stage of disease. Of 1,338 eligible patients, 24% declined participation at baseline. Non-participation was higher in older patients (Odds Ratio [OR] 2.1, CI: 0.6-0.9) and those with advanced disease (OR 2.0, CI: 0.1-1.3). Dropout by 6 months was 25%. Dropout was more frequent with increased age (OR 2.8, CI: 0.8-1.2), advanced disease (OR 3.0, CI: 1.0-1.2), being married (OR 2.4, CI 0.7-1.1) and less frequent with university education (OR 0.4, CI -1.3 to -0.8) and middle income (OR 0.4, CI -0.9 to -0.7). When planning clinical trials, it is important to be aware of patient groups at high risk of non-participation or dropout, for example older patients or those with advanced disease. Trial designs should consider their special needs to increase their rate of participation.
year | journal | country | edition | language |
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2017-01-30 | European Journal of Cancer Care |