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付费功能对医生无偿知识活动的溢出效应:准实验方法

Spillover Effects of Paid Functions on Physicians' Unpaid Knowledge Activities: Quasi-Experimental Approach.

作者信息

Liu Xuan, Chi Xiaotong, Chen Ming, Sun Wen, Li Jia

机构信息

East China University of Science and Technology, Shanghai, China.

出版信息

J Med Internet Res. 2024 Dec 10;26:e58688. doi: 10.2196/58688.

Abstract

BACKGROUND

To promote sustained contributions by physicians to online health care communities, these platforms have introduced a content payment model that offers economic incentives for physicians' online knowledge activities. However, the impact of these paid features on unpaid knowledge activities remains unexplored.

OBJECTIVE

This study investigated how the introduction of economic incentives in online medical communities affects physicians' unpaid knowledge activities in the community.

METHODS

The data for this study were obtained from the Haodf Online platform in China, which has implemented paid scenarios for its science popularization function, providing economic benefits to physicians. The dataset, which comprises panel data, includes 7453 physicians who participated in both paid and unpaid knowledge contributions on the website. This study examined the impact of paid knowledge activities on physicians' free knowledge contributions, focusing on dimensions including knowledge quantity, quality, and diversity. To address the timing discrepancies in physicians' participation in paid activities, we used a quasi-experimental design that combined the approach of propensity score matching and multi-period difference in differences.

RESULTS

In the balance test results of the propensity score matching, the absolute values of the SDs of all matching variables were mostly <5% after matching, ensuring the accuracy of the results obtained from the difference in differences method. This study found that participation in paid knowledge activities had a positive spillover effect on physicians' free knowledge contributions, which manifested in the increase in post quantity (473.1%; P<.001), article length (108%; P=.009), function word frequency (0.6%; P=.001), causal word frequency (0.2%; P<.001), and content information entropy (6.6%; P=.006). The paid function led to a decrease in the consistency between titles and content (-115.5%; P<.001).

CONCLUSIONS

The findings of this study contribute to the existing literature on the impact of economic incentives in the medical context. For the platform, providing economic incentives to physicians can have positive significance in promoting the development of the platform's knowledge ecosystem and can effectively encourage physicians to contribute to both paid and free knowledge activities. This study provides a valuable reference for the platform to introduce a paid knowledge model, which is beneficial to the sustainable development of the platform.

摘要

背景

为促进医生持续为在线医疗社区做出贡献,这些平台引入了内容付费模式,为医生的在线知识活动提供经济激励。然而,这些付费功能对无偿知识活动的影响仍未得到探索。

目的

本研究调查了在线医疗社区引入经济激励措施如何影响医生在社区中的无偿知识活动。

方法

本研究的数据来自中国的好大夫在线平台,该平台已为其科普功能实施了付费场景,为医生提供经济收益。该数据集包含面板数据,包括7453名在该网站上既参与了付费知识贡献又参与了无偿知识贡献的医生。本研究考察了付费知识活动对医生免费知识贡献的影响,重点关注知识数量、质量和多样性等维度。为解决医生参与付费活动的时间差异问题,我们采用了一种准实验设计,将倾向得分匹配方法和多期双重差分法相结合。

结果

在倾向得分匹配的平衡性检验结果中,所有匹配变量标准差的绝对值在匹配后大多<5%,确保了双重差分法所得结果的准确性。本研究发现,参与付费知识活动对医生的免费知识贡献有积极的溢出效应,表现为帖子数量增加(473.1%;P<.001)、文章长度增加(108%;P=.009)、功能词频率增加(0.6%;P=.001)、因果词频率增加(0.2%;P<.001)以及内容信息熵增加(6.6%;P=.006)。付费功能导致标题与内容之间的一致性下降(-115.5%;P<.001)。

结论

本研究的结果为医学背景下经济激励影响的现有文献做出了贡献。对于平台而言,向医生提供经济激励对促进平台知识生态系统的发展具有积极意义,并且可以有效地鼓励医生参与付费和免费知识活动。本研究为平台引入付费知识模式提供了有价值的参考,有利于平台的可持续发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9373/11668984/1dcbaea69899/jmir_v26i1e58688_fig1.jpg

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