Assessing Interventions on Crowdsourcing Platforms to Nudge Patients for Engagement Behaviors in Primary Care Settings: Randomized Controlled Trial.
Assessing Interventions on Crowdsourcing Platforms to Nudge Patients for Engagement Behaviors in Primary Care Settings: Randomized Controlled Trial.
复制标题
评估众包平台上的干预措施，以推动患者在初级保健环境中的参与行为：随机对照试验。
DOI：
10.2196/41431
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发表时间：
2023-07-13
影响因子：
7.4
通讯作者：
Xiao, Yan
中科院分区：
文献类型：
--
作者：
Chen, Kay-Yut;Lang, Yan;Zhou, Yuan;Kosmari, Ludmila;Daniel, Kathryn;Gurses, Ayse;Xiao, Yan
关键词：
让患者参与健康行为对于更好的结果至关重要，但许多患者伙伴行为并未被广泛采用。基于行为经济学的干预措施提供了潜在的解决方案，但评估不同选择所需的时间和成本是具有挑战性的。众包平台可以高效、快速地评估此类干预措施的效果，但尚不清楚基于网络的参与者对模拟激励的反应是否与他们对实际激励的反应相同。本研究的目标是(1)通过检验基于网络的参与者对模拟激励的反应是否与他们对实际激励的反应相同，来评估使用众包调查来评估针对患者伙伴关系的行为经济学干预的可行性；(2)评估两种基于行为经济学的干预设计(心理奖励和框架缺失)在模拟初级保健环境中对模拟药物调节行为的影响。我们在众包平台(Amazon Machine Turk)上使用受试者间设计进行了一项随机对照试验，以评估旨在提高初级保健就诊中药物依从性的行为干预的有效性。这项研究包括一个代表参与者基线行为的控制组和3个模拟干预，即金钱补偿、作为心理奖励的地位效应和作为地位效应修正的损失框架。参与者将药物带到初级保健就诊的意愿通过5分的利克特量表进行衡量。包括一个反向编码的问题，以确保回答的意向性。总共招募了569名研究参与者。基线组132人，金钱补偿组187人，心理奖励组149人，损失框组101人。与基线情景相比，所有3种轻推干预措施都显着增加了参与者携带药物的意愿。金钱补偿干预增加了17.51%(P<；.001)，地位心理奖励使意愿增加了11.85%(P<；.001)，心理奖励损失框架使意愿增加了24.35%(P<；.001)。对反向编码问题的回答与意愿问题是一致的。在初级保健中，将药物带到办公室就诊是一种经常倡导的患者伙伴行为，但尚未得到广泛采用。Amazon Machine Turk等众包平台支持高效、快速地接触到大量个人，以评估行为干预的效果。我们发现，基于众包调查的模拟激励实验可以产生有效的模拟行为反应。使用心理状态设计，特别是采用损失框架方法，可以有效地提高患者在初级保健中的参与度。这些结果支持使用众包平台来增强和补充学习有关患者参与的行为经济学的传统方法。
Engaging patients in health behaviors is critical for better outcomes, yet many patient partnership behaviors are not widely adopted. Behavioral economics–based interventions offer potential solutions, but it is challenging to assess the time and cost needed for different options. Crowdsourcing platforms can efficiently and rapidly assess the efficacy of such interventions, but it is unclear if web-based participants respond to simulated incentives in the same way as they would to actual incentives. The goals of this study were (1) to assess the feasibility of using crowdsourced surveys to evaluate behavioral economics interventions for patient partnerships by examining whether web-based participants responded to simulated incentives in the same way they would have responded to actual incentives, and (2) to assess the impact of 2 behavioral economics–based intervention designs, psychological rewards and loss of framing, on simulated medication reconciliation behaviors in a simulated primary care setting. We conducted a randomized controlled trial using a between-subject design on a crowdsourcing platform (Amazon Mechanical Turk) to evaluate the effectiveness of behavioral interventions designed to improve medication adherence in primary care visits. The study included a control group that represented the participants’ baseline behavior and 3 simulated interventions, namely monetary compensation, a status effect as a psychological reward, and a loss frame as a modification of the status effect. Participants’ willingness to bring medicines to a primary care visit was measured on a 5-point Likert scale. A reverse-coding question was included to ensure response intentionality. A total of 569 study participants were recruited. There were 132 in the baseline group, 187 in the monetary compensation group, 149 in the psychological reward group, and 101 in the loss frame group. All 3 nudge interventions increased participants’ willingness to bring medicines significantly when compared to the baseline scenario. The monetary compensation intervention caused an increase of 17.51% (P<.001), psychological rewards on status increased willingness by 11.85% (P<.001), and a loss frame on psychological rewards increased willingness by 24.35% (P<.001). Responses to the reverse-coding question were consistent with the willingness questions. In primary care, bringing medications to office visits is a frequently advocated patient partnership behavior that is nonetheless not widely adopted. Crowdsourcing platforms such as Amazon Mechanical Turk support efforts to efficiently and rapidly reach large groups of individuals to assess the efficacy of behavioral interventions. We found that crowdsourced survey-based experiments with simulated incentives can produce valid simulated behavioral responses. The use of psychological status design, particularly with a loss framing approach, can effectively enhance patient engagement in primary care. These results support the use of crowdsourcing platforms to augment and complement traditional approaches to learning about behavioral economics for patient engagement.
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影响因子：
120.7
作者：
Budnitz, Daniel S.;Shehab, Nadine;Pollock, Daniel A.
通讯作者：
Pollock, Daniel A.
影响因子：
2.9
作者：
Wanniarachchi H;Lang Y;Wang X;Pruitt T;Nerur S;Chen KY;Liu H
通讯作者：
Liu H
影响因子：
5.4
作者：
Chen, Kay-Yut;Wang, Jingguo;Lang, Yan
通讯作者：
Lang, Yan
DOI：
10.3122/jabfm.2016.01.150163
发表时间：
2016-01-01
影响因子：
2.9
作者：
Weiss, Barry D.;Brega, Angela G.;West, David R.
通讯作者：
West, David R.
影响因子：
6.3
作者：
Dautzenberg L;Bretagne L;Koek HL;Tsokani S;Zevgiti S;Rodondi N;Scholten RJPM;Rutjes AW;Di Nisio M;Raijmann RCMA;Emmelot-Vonk M;Jennings ELM;Dalleur O;Mavridis D;Knol W
通讯作者：
Knol W