Chi Yu, Thaker Khushboo, He Daqing, Hui Vivian, Donovan Heidi, Brusilovsky Peter, Lee Young Ji
School of Information Science, University of Kentucky, Lexington, KY, United States.
School of Computing and Information, University of Pittsburgh, Pittsburgh, PA, United States.
JMIR Cancer. 2022 Sep 13;8(3):e39643. doi: 10.2196/39643.
Patients and caregivers widely use online health communities (OHCs) to acquire knowledge from peers. Questions posed in OHCs reflect participants' learning objectives and differ in their level of cognitive complexity. However, little is known about the topics and levels of participants' learning objectives and the corresponding support they receive from members of OHCs.
This study aimed to investigate the knowledge acquisition of patients and caregivers in an OHC. Specifically, we investigated the distribution and topics of posts with learning objectives at different cognitive complexity levels, the type and amount of social support provided to meet users' learning objectives at different cognitive complexity levels, and the influence of social support on the change in learning objectives.
We collected 10 years of discussion threads from one of the most active ovarian cancer (OvCa) OHCs. A mixed methods approach was used, including qualitative content analysis and quantitative statistical analysis. Initial posts with questions were manually classified into 1 of the 3 learning objectives with increasing cognitive complexity levels, from low to high, based on the Anderson and Krathwohl taxonomy: understand, analyze, and evaluate. Manual content analysis and automatic classification models were used to identify the types of social support in the comments, including emotional support and 5 types of informational support: advice, referral, act, personal experience, and opinion.
The original data set contained 909 initial posts and 14,816 comments, and the final data set for the analysis contained 560 posts with questions and 3998 comments. Our results showed that patients with OvCa and their caregivers mainly used OHCs to acquire knowledge for low- to medium-level learning objectives. Of the questions, 82.3% (461/560) were either understand- or analyze-level questions, in which users were seeking to learn basic facts and medical concepts or draw connections among different situations and conditions. Only 17.7% (99/560) of the questions were at the evaluate level, in which users asked other OHC members to help them make decisions or judgments. Notably, OvCa treatment was the most popular topic of interest among all the questions, regardless of the level of learning objectives. Regarding the social support received for different levels of learning objectives, significant differences were found in the advice (F=9.69; P<.001), opinion (F=11.56; P<.001), and emotional support (F=3.24; P=.01), as determined by one-way ANOVA, whereby questions at the evaluate level were more likely to receive advice, opinion, and emotional support than questions at the lower levels. Additionally, receiving social support tends to drive users to increase the cognitive complexity of the learning objective in the next post.
Our study establishes that OHCs are promising resources for acquiring knowledge of OvCa. Our findings have implications for designing better OHCs that serve the growing OvCa community.
患者及护理人员广泛利用在线健康社区(OHC)从同行处获取知识。OHC中提出的问题反映了参与者的学习目标,且认知复杂程度各异。然而,对于参与者学习目标的主题和水平,以及他们从OHC成员那里获得的相应支持,我们却知之甚少。
本研究旨在调查OHC中患者及护理人员的知识获取情况。具体而言,我们调查了具有不同认知复杂程度学习目标的帖子的分布和主题,为满足不同认知复杂程度学习目标而提供的社会支持的类型和数量,以及社会支持对学习目标变化的影响。
我们从最活跃的卵巢癌(OvCa)OHC之一收集了10年的讨论线程。采用了混合方法,包括定性内容分析和定量统计分析。根据安德森和克拉斯沃尔的分类法,将带有问题的初始帖子手动分类为认知复杂程度从低到高的3种学习目标之一:理解、分析和评估。使用手动内容分析和自动分类模型来识别评论中的社会支持类型,包括情感支持和5种信息支持:建议、转介、行动、个人经验和意见。
原始数据集包含909个初始帖子和14816条评论,用于分析的最终数据集包含560个有问题的帖子和3998条评论。我们的结果表明,卵巢癌患者及其护理人员主要利用OHC获取低到中等水平学习目标的知识。在这些问题中,82.3%(461/560)是理解或分析级别的问题,用户在这些问题中寻求学习基本事实和医学概念,或在不同情况和条件之间建立联系。只有17.7%(99/560)的问题是评估级别,用户在这些问题中请求其他OHC成员帮助他们做出决策或判断。值得注意的是,无论学习目标的水平如何,卵巢癌治疗都是所有问题中最受欢迎的感兴趣主题。关于不同学习目标水平获得的社会支持,通过单因素方差分析发现,在建议(F=9.69;P<.001)、意见(F=11.56;P<.001)和情感支持(F=3.24;P=.01)方面存在显著差异,即评估级别的问题比低级别问题更有可能获得建议、意见和情感支持。此外,获得社会支持往往会促使用户在下一个帖子中提高学习目标的认知复杂程度。
我们的研究表明,OHC是获取卵巢癌知识的有前景的资源。我们的发现对设计更好的OHC以服务不断壮大的卵巢癌群体具有启示意义。