Recruiting for a Randomized Clinical Trial for Late-Life Depression During COVID-19: Outcomes of Provider Referrals Versus Facebook Self-Referrals.
Recruiting for a Randomized Clinical Trial for Late-Life Depression During COVID-19: Outcomes of Provider Referrals Versus Facebook Self-Referrals.
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在Covid-19期间招募了为后期抑郁症的随机临床试验：提供者推荐与Facebook自我推荐的结果。
DOI：
10.1016/j.jagp.2023.01.021
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发表时间：
2023-05
影响因子：
7.2
通讯作者：
Mulsant, Benoit H.
中科院分区：
文献类型：
--
作者：
Ainsworth, Nicholas J.;Wright, Hailey;Tereshchenko, Ksenya;Blumberger, Daniel M.;Flint, Alastair J.;Lenze, Eric J.;Perivolaris, Athina;Mulsant, Benoit H.
目的：评价新冠肺炎期间药物治疗老年抑郁症临床试验的网上征集效果。作者计算了提供者推荐与Facebook自我推荐的收益率，定义为招募导致随机化(注册)；比较了来自两个来源的参与者的特征和辍学率；并分析了公共卫生限制的严格性与来自每个来源的推荐随时间的相关性。提供商推荐的收益率(33个推荐中的10个；30.3%)明显高于脸书的自我推荐(323个中的14个；4.3%)(p<；0.00001)。从Facebook自我推荐的参与者有明显更多的教育；否则，两组人的特征和辍学率相似。虽然公共卫生严格性与提供者推荐呈负相关(ρ=−0.32)，与脸书自我推荐呈正相关(ρ=0.39)，但这两个关联均未达到统计学意义。在线招聘可能会改善老年抑郁症患者获得临床研究的机会。未来的研究应该评估成本效益和潜在的障碍，如计算机素养。
To evaluate the effectiveness of online recruitment for a clinical trial of pharmacotherapy for late-life depression during COVID-19. The authors calculated the yield, defined as recruitment leading to randomization (enrollment), from provider referrals versus Facebook self-referrals; compared characteristics and drop-out rates of participants from each source; and analyzed correlations between stringency of public health restrictions and referrals from each source over time. Provider referrals had a significantly higher yield (10 of 33 referrals; 30.3%) versus Facebook self-referrals (14 of 323; 4.3%) (p <0.00001). Participants self-referred from Facebook had significantly more education; otherwise, both groups had similar characteristics and drop-out rates. While public health stringency was negatively correlated with provider referrals (ρ = −0.32) and positively correlated with Facebook self-referrals (ρ = 0.39), neither association reached statistical significance. Online recruitment may improve access to clinical research for older depressed adults. Future studies should evaluate cost-effectiveness and potential barriers such as computer literacy.
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