Gorkin L, Schron E B, Handshaw K, Shea S, Kinney M R, Branyon M, Campion J, Bigger J T, Sylvia S C, Duggan J, Stylianou M, Lancaster S, Ahern D K, Follick M J
Institute for Behavioral Medicine, Cranston, Rhode Island, USA.
Control Clin Trials. 1996 Feb;17(1):46-59. doi: 10.1016/0197-2456(95)00089-5.
The Recruitment and Enrollment Assessment in Clinical Trials (REACT) was a National Heart, Lung, and Blood Institute (NHLBI)-sponsored substudy to the Cardiac Arrhythmia Suppression Trial (CAST). Two-hundred-sixty (260) patients who enrolled in CAST and 140 partially or fully eligible patients who did not enroll were compared across several parameters, including demographic variables, disease severity, psychosocial functioning, health beliefs, recruitment experience, and understanding of informed consent procedures used in CAST. Significant predictors of enrollment included several demographic variables (e.g., being male, not having medical insurance), episodes of ventricular tachycardia, and health beliefs (e.g., extra beats are harmful, a higher degree of general health concern). Enrollment was higher for those who read and understood the informed consent and those who were initially recruited after hospital discharge, particularly nondepressed patients. In the multivariate model, the key variables that emerged were the patient's reading of the informed consent form and the patient's lack of medical insurance. These results suggest that (1) the clinical trial staff's interaction with the patient and the time when recruitment is initiated contribute significantly to the decision to enroll; and (2) it may be a greater challenge to motivate patients to enroll in future clinical trials if health care reform improves access to medical insurance coverage. Some of the significant variables are modifiable, suggesting interventions that may increase enrollment rates in future trials.
临床试验中的招募与入组评估(REACT)是美国国立心肺血液研究所(NHLBI)资助的一项针对心律失常抑制试验(CAST)的子研究。对260名参加CAST的患者和140名未参加的部分或完全符合条件的患者进行了多个参数的比较,这些参数包括人口统计学变量、疾病严重程度、心理社会功能、健康观念、招募经历以及对CAST中使用的知情同意程序的理解。入组的显著预测因素包括几个人口统计学变量(如男性、没有医疗保险)、室性心动过速发作以及健康观念(如早搏有害、对总体健康的关注度较高)。阅读并理解知情同意书的患者以及出院后最初被招募的患者,尤其是非抑郁患者,入组率更高。在多变量模型中,出现的关键变量是患者对知情同意书的阅读情况以及患者没有医疗保险。这些结果表明:(1)临床试验工作人员与患者的互动以及开始招募的时间对入组决定有显著影响;(2)如果医疗保健改革改善了医疗保险覆盖范围,那么激励患者参加未来的临床试验可能会面临更大的挑战。一些显著变量是可以改变的,这表明可能存在一些干预措施可以提高未来试验的入组率。