Si Yan, Wu Hong, Liu Qing
School of Business, Wuxi Vocational College of Science and Technology, Wuxi, China.
School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
JMIR Med Inform. 2020 Jun 29;8(6):e16704. doi: 10.2196/16704.
Web-based crowdsourcing promotes the goals achieved effectively by gaining solutions from public groups via the internet, and it has gained extensive attention in both business and academia. As a new mode of sourcing, crowdsourcing has been proven to improve efficiency, quality, and diversity of tasks. However, little attention has been given to crowdsourcing in the health sector.
Crowdsourced health care information websites enable patients to post their questions in the question pool, which is accessible to all doctors, and the patients wait for doctors to respond to their questions. Since the sustainable development of crowdsourced health care information websites depends on the participation of the doctors, we aimed to investigate the factors influencing doctors' participation in providing health care information in these websites from the perspective of the elaboration-likelihood model.
We collected 1524 questions with complete patient-doctor interaction processes from an online health community in China to test all the hypotheses. We divided the doctors into 2 groups based on the sequence of the answers: (1) doctor who answered the patient's question first and (2) the doctors who answered that question after the doctor who answered first. All analyses were conducted using the ordinary least squares method.
First, the ability of the doctor who first answered the health-related question was found to positively influence the participation of the following doctors who answered after the first doctor responded to the question (β=.177, P<.001; =.063, P=.048; β=.418, P<.001). Second, the reward that the patient offered for the best answer showed a positive effect on doctors' participation (β=.019, P<.001). Third, the question's complexity was found to positively moderate the relationships between the ability of the first doctor who answered and the participation of the following doctors (β=.186, P=.05) and to mitigate the effect between the reward and the participation of the following doctors (β=-.003, P=.10).
This study has both theoretical and practical contributions. Online health community managers can build effective incentive mechanisms to encourage highly competent doctors to participate in the provision of medical services in crowdsourced health care information websites and they can increase the reward incentives for each question to increase the participation of the doctors.
基于网络的众包通过互联网从公众群体中获取解决方案，有效地促进了目标的实现，在商业和学术界都受到了广泛关注。作为一种新的ourcing模式，众包已被证明可以提高任务的效率、质量和多样性。然而，健康领域的众包却很少受到关注。
众包医疗信息网站使患者能够在问题池中发布问题，所有医生都可以访问该问题池，患者等待医生回答他们的问题。由于众包医疗信息网站的可持续发展依赖于医生的参与，我们旨在从精细加工可能性模型的角度调查影响医生参与在这些网站上提供医疗信息的因素。
我们从中国的一个在线健康社区收集了1524个具有完整医患互动过程的问题，以检验所有假设。我们根据回答顺序将医生分为两组：（1）首先回答患者问题的医生和（2）在首先回答问题的医生之后回答该问题的医生。所有分析均使用普通最小二乘法进行。
首先，发现首先回答健康相关问题的医生的能力对第一位医生回答问题后随后回答的医生的参与度有积极影响（β = 0.177，P <.001； = 0.063，P = 0.048；β = 0.418，P <.001）。其次，患者为最佳答案提供的奖励对医生的参与度有积极影响（β = 0.019，P <.001）。第三，发现问题的复杂性对首先回答问题的医生的能力与随后回答问题的医生的参与度之间的关系有正向调节作用（β = 0.186，P = 0.05），并减轻了奖励与随后回答问题的医生的参与度之间的影响（β = -0.003，P = 0.10）。
本研究具有理论和实践贡献。在线健康社区管理者可以建立有效的激励机制，鼓励能力强的医生参与众包医疗信息网站的医疗服务提供，并且可以增加每个问题的奖励激励，以提高医生的参与度。
