Roick J, Danker H, Kersting A, Briest S, Dietrich A, Dietz A, Einenkel J, Papsdorf K, Lordick F, Meixensberger J, Mössner J, Niederwieser D, Prietzel T, Schiefke F, Stolzenburg J-U, Wirtz H, Singer S
Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Leipzig, Leipzig, Germany.
Department of Obstetrics and Gynecology, University Medical Center Leipzig, Leipzig, Germany.
Eur J Cancer Care (Engl). 2018 Jan;27(1). doi: 10.1111/ecc.12645. Epub 2017 Jan 30.
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.
我们在一项针对癌症患者的整群随机行为试验中,调查了人口统计学和疾病相关因素对未参与及退出试验的影响,该试验在住院期间及之后6个月进行测量。记录了每个时间点的未参与率和退出率。被认为可能与未参与及退出相关的因素如下:年龄、性别、婚姻状况、教育程度、收入、就业状况、肿瘤部位和疾病分期。在1338名符合条件的患者中,24%在基线时拒绝参与。老年患者(优势比[OR]2.1,置信区间[CI]:0.6 - 0.9)和疾病晚期患者(OR 2.0,CI:0.1 - 1.3)的未参与率更高。到6个月时的退出率为25%。随着年龄增长(OR 2.8,CI:0.8 - 1.2)、疾病晚期(OR 3.0,CI:1.0 - 1.2)、已婚(OR 2.4,CI 0.7 - 1.1),退出情况更频繁;而大学学历(OR 0.4,CI -1.3至 -0.8)和中等收入(OR 0.4,CI -0.9至 -0.7)的患者退出情况较少。在规划临床试验时,了解有未参与或退出高风险的患者群体很重要,例如老年患者或疾病晚期患者。试验设计应考虑他们的特殊需求以提高参与率。