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Selection bias and subject refusal in a cluster-randomized controlled trial

机译:整群随机对照试验中的选择偏倚和受试者拒绝

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Background Selection bias and non-participation bias are major methodological concerns which impact external validity. Cluster-randomized controlled trials are especially prone to selection bias as it is impractical to blind clusters to their allocation into intervention or control. This study assessed the impact of selection bias in a large cluster-randomized controlled trial. Methods The Improved Cardiovascular Risk Reduction to Enhance Rural Primary Care (ICARE) study examined the impact of a remote pharmacist-led intervention in twelve medical offices. To assess eligibility, a standardized form containing patient demographics and medical information was completed for each screened patient. Eligible patients were approached by the study coordinator for recruitment. Both the study coordinator and the patient were aware of the site’s allocation prior to consent. Patients who consented or declined to participate were compared across control and intervention arms for differing characteristics. Statistical significance was determined using a two-tailed, equal variance t-test and a chi-square test with adjusted Bonferroni p -values. Results were adjusted for random cluster variation. Results There were 2749 completed screening forms returned to research staff with 461 subjects who had either consented or declined participation. Patients with poorly controlled diabetes were found to be significantly more likely to decline participation in intervention sites compared to those in control sites. A higher mean diastolic blood pressure was seen in patients with uncontrolled hypertension who declined in the control sites compared to those who declined in the intervention sites. However, these findings were no longer significant after adjustment for random variation among the sites. After this adjustment, females were now found to be significantly more likely to consent than males (odds ratio?=?1.41; 95% confidence interval?=?1.03, 1.92). Conclusions Though there appeared to be a higher consent rate for females than for males, the overall impact of potential selection bias and refusal to participate was minimal. Without rigorous methodology, selection bias may be a threat to external validity in cluster-randomized trials. Trial registration NCT01983813 . Date of registration: Oct. 28, 2013.
机译:背景选择偏见和非参与偏见是影响外部有效性的主要方法论问题。集群随机对照试验尤其容易出现选择偏倚,因为将盲目集群分配给干预或控制是不切实际的。这项研究评估了在大型随机分组对照试验中选择偏倚的影响。方法改善心血管风险以增强农村基层医疗服务(ICARE)的研究检查了由远程药剂师主导的干预对十二个医疗机构的影响。为了评估资格,针对每个被筛查的患者填写了包含患者人口统计信息和医疗信息的标准化表格。研究协调员联系了符合条件的患者进行招募。在同意之前,研究协调员和患者都知道站点的分配。对照或干预组比较同意或拒绝参加的患者的不同特征。使用两尾等方差t检验和调整后的Bonferroni p值的卡方检验确定统计学显着性。调整结果以适应随机聚类变化。结果共有2749份完整的筛选表格返回给研究人员,其中461名受试者同意或拒绝参加。发现与控制部位相比,糖尿病控制不佳的患者更有可能降低干预部位的参与。在不受控制的高血压患者中,在控制部位下降的平均舒张压高于在干预部位下降的平均舒张压。然而,在调整位点之间的随机变异后,这些发现不再重要。进行此调整后,现在发现女性比男性明显更有可能同意(比值比=?1.41; 95%置信区间?=?1.03,1.92)。结论尽管女性的同意率似乎高于男性,但潜在的选择偏见和拒绝参与的总体影响很小。如果没有严格的方法,选择偏倚可能会在聚类随机试验中对外部有效性产生威胁。试用注册号NCT01983813。注册日期:2013年10月28日。

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