Slymen D J, Drew J A, Wright B L, Elder J P, Williams S J
Graduate School of Public Health, San Diego State University, CA 92182.
Int J Epidemiol. 1992 Aug;21(4):701-6. doi: 10.1093/ije/21.4.701.
Non-compliance in long-term cohort studies contributes to bias in the estimation of study parameters and loss of power in hypothesis testing. This paper identifies baseline factors associated with non-compliance in a 12-month health assessment among elderly participants in the San Diego Medicare Preventive Health Project, a randomized preventive intervention study. A non-complier was defined as a study subject contacted by telephone by study personnel to schedule an appointment for the 12-month health assessment but who would not or could not attend. Of the almost 1600 contacted subjects, 14.1% did not participate in the evaluation. Using logistic regression, non-compliance was found to be associated with older age, intervention group assignment, nonsingle family residence, no alcohol use, and, to a lesser extent, depression. No interactions between group assignment and other baseline factors were detected. These results may be useful in designing cohort maintenance strategies where greater resources may be devoted to participants at higher risk of non-compliance and attrition.
长期队列研究中的不依从性会导致研究参数估计出现偏差,并降低假设检验的效能。本文确定了与圣地亚哥医疗保险预防性健康项目中老年参与者12个月健康评估中的不依从性相关的基线因素,该项目是一项随机预防性干预研究。不依从者被定义为研究人员通过电话联系以安排12个月健康评估预约,但不会或不能参加的研究对象。在近1600名被联系的对象中,14.1%未参与评估。通过逻辑回归发现,不依从性与年龄较大、被分配到干预组、非单户居住、不饮酒以及在较小程度上与抑郁有关。未检测到组分配与其他基线因素之间的相互作用。这些结果可能有助于设计队列维持策略,以便将更多资源用于不依从和失访风险较高的参与者。