Scharett Emma, Madathil Kapil Chalil, Lopes Snehal, Rogers Hunter, Agnisarman Sruthy, Narasimha Shraddhaa, Ashok Aparna, Dye Cheryl
1 Department of Industrial Engineering, Clemson University , Clemson, South Carolina.
2 Glenn Department of Civil Engineering, Clemson University , Clemson, South Carolina.
Cyberpsychol Behav Soc Netw. 2017 Oct;20(10):640-657. doi: 10.1089/cyber.2017.0274.
Caregivers of Alzheimer's patients find respite in online communities for solutions and emotional support. This study aims to understand the characteristics of information caregivers of Alzheimer's patients are searching for and the kind of support they receive through Internet-based peer support communities. Using a Web crawler written in Python Web programming language, we retrieved publicly available 2,500 random posts and their respective solutions from April 2012 to October 2016 on the solutions category of the Caregiver's Forum on ALZConnected.org . A content analysis was conducted on these randomly selected posts and 4,219 responses to those posts based on a classification system were derived from initial analyses of 750 posts and related responses. The results showed most posts (26%) related to queries about Alzheimer's symptoms, and the highest percentage of responses (45.56%) pertained to caregiver well-being. The LIWC analyses generated an average tone rating of 27.27 for the posts, implying a negative tone and 65.17 for their responses, implying a slightly positive tone. The ALZConnected.org Web site has the potential of being an emotionally supportive tool for caregivers; however, a more user-friendly interface is required to accommodate the needs of most caregivers and their technological skills. Solutions offered on the peer support groups are often subjective opinions of other caregivers and should not be considered professional or comprehensive; further research on educating caregivers using online forums is necessary.
阿尔茨海默病患者的照料者在在线社区中寻求解决办法并获得情感支持。本研究旨在了解阿尔茨海默病患者照料者搜索的信息特征,以及他们通过基于互联网的同伴支持社区获得的支持类型。我们使用用Python网络编程语言编写的网络爬虫,从2012年4月至2016年10月在ALZConnected.org上的照料者论坛的解决方案类别中检索了2500条随机公开的帖子及其各自的解决方案。对这些随机选择的帖子进行了内容分析,并基于对750条帖子及相关回复的初步分析,得出了针对这些帖子的4219条回复的分类系统。结果显示,大多数帖子(26%)与阿尔茨海默病症状的询问有关,回复中占比最高的(45.56%)与照料者的幸福感有关。LIWC分析得出帖子的平均语气评分为27.27,意味着负面语气,而回复的平均语气评分为65.17,意味着略带积极的语气。ALZConnected.org网站有潜力成为照料者的情感支持工具;然而,需要一个更用户友好的界面来满足大多数照料者的需求及其技术技能。同伴支持小组提供的解决方案往往是其他照料者的主观意见,不应被视为专业或全面的;有必要进一步研究如何利用在线论坛对照料者进行教育。