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Spillover Effects of Paid Functions on Physicians' Unpaid Knowledge Activities: Quasi-Experimental Approach
Xuan Liu1, Xiaotong Chi1, Ming Chen1
1East China University of Science and Technology, Shanghai, China.
Journal of Medical Internet Research
|December 10, 2024
Summary
Physicians
Area of Science:
- Medical Informatics
- Online Health Communities
- Physician Engagement
Background:
- Online health platforms offer financial incentives to physicians for knowledge contributions.
- The effect of these paid features on unpaid physician activities is not well understood.
Purpose of the Study:
- To investigate the impact of economic incentives on physicians' unpaid knowledge activities in online medical communities.
Main Methods:
- Utilized panel data from 7453 physicians on the Haodf Online platform in China.
- Employed a quasi-experimental design with propensity score matching and difference-in-differences analysis.
- Examined effects on knowledge quantity, quality, and diversity.
Main Results:
- Paid activities positively influenced free contributions, increasing post quantity (473.1%) and article length (108%).
- Improvements were noted in content information entropy (6.6%) and linguistic complexity.
- A decrease in title-content consistency was observed (-115.5%).
Conclusions:
- Economic incentives can foster physician engagement in both paid and unpaid knowledge activities.
- This approach supports the growth of online health community knowledge ecosystems.
- Paid models are beneficial for the sustainable development of online medical platforms.
Keywords:
diversityeconomic incentiveshealth knowledge contributionmulti-period difference in differencespropensity score matchingMore Related Videos
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