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在线心理健康社区成员感知有用性影响因素的实证研究。

Empirical study of factors that influence the perceived usefulness of online mental health community members.

机构信息

Jiangxi University of Finance and Economics, Nanchang, China.

Institute for Data Analysis and Intelligent Decision Making, Fujian Jiangxia University, Fuzhou, China.

出版信息

Psych J. 2023 Apr;12(2):307-318. doi: 10.1002/pchj.629. Epub 2023 Feb 1.

DOI:10.1002/pchj.629
PMID:36726193
Abstract

Online mental health communities have become a major platform where individuals can talk about their mental health problems and obtain social support. This study aims to understand the antecedents of perceived usefulness among members in an online mental health community, while providing reference for the managers and users of online mental health communities. We obtained a total of 143,190 posts from ReachOut.com released by the CLPsych2017 shared task. Then, we used text mining to derive the independent and dependent variables. Next, a structural equation model observing the perceived usefulness of online mental health community members was constructed from the perspective of an information adoption model. The informativeness of help-seeking posts had a significant positive relationship with the information quality of reply posts; the information quality of reply posts was a significant positive predictor of perceived usefulness, with the information quality of reply posts partially mediating the relationship between the informativeness of help-seeking posts and perceived usefulness. The information provided by online mental health community members' help-seeking posts and the quality of replies were found to be the factors that influenced perceived usefulness. This study highlights the importance of the information quality of reply posts and provides useful insights for administrators who can help users to improve their response quality and obtain the support they need.

摘要

在线心理健康社区已成为个人讨论心理健康问题并获得社会支持的主要平台。本研究旨在了解在线心理健康社区成员感知有用性的前因,为在线心理健康社区的管理者和用户提供参考。我们从 CLPsych2017 共享任务发布的 ReachOut.com 中总共获取了 143190 个帖子。然后,我们使用文本挖掘来推导独立和因变量。接下来,从信息采用模型的角度构建了一个观察在线心理健康社区成员感知有用性的结构方程模型。求助帖子的信息量与回复帖子的信息质量呈显著正相关;回复帖子的信息质量是感知有用性的显著正向预测因子,回复帖子的信息质量部分中介了求助帖子信息量和感知有用性之间的关系。在线心理健康社区成员的求助帖子提供的信息和回复的质量被发现是影响感知有用性的因素。本研究强调了回复帖子信息质量的重要性,为管理员提供了有用的见解,管理员可以帮助用户提高回复质量并获得他们所需的支持。

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