为阿尔茨海默病和相关痴呆症患者的家人和朋友照顾者提供的CareVirtue数字期刊:探索性主题建模和用户参与研究。

IF 5 Q1 GERIATRICS & GERONTOLOGY
JMIR Aging Pub Date : 2024-12-24 DOI:10.2196/67992
Andrew C Pickett, Danny Valdez, Lillian A White, Priya Loganathar, Anna Linden, Justin J Boutilier, Clover Caldwell, Christian Elliott, Matthew Zuraw, Nicole E Werner
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引用次数: 0

摘要

背景:随着阿尔茨海默病(AD)和AD相关痴呆(ADRD)的进展,个体越来越多地需要来自无偿、非正式护理人员的帮助来支持他们的日常生活活动。这些护理人员可能会经历与提供护理相关的高水平的经济、精神和身体压力。CareVirtue是一个基于网络的工具,旨在连接和支持护理网络中的多个个体,以协调护理活动并共享重要信息,从而减轻护理负担。目的:本研究旨在使用计算信息学方法对CareVirtue平台上AD/ADRD护理人员撰写的开放文本进行主题分析。然后,我们探索确定的主题和使用模式之间的关系。方法:我们分析期刊文章(n=1555篇;170,212字),由CareVirtue平台的51个独立用户生成。使用神经网络方法进行主题建模来识别潜在主题。我们使用价感知字典和情感推理器计算每个帖子的情感得分。然后,我们检查了确定主题之间的关系;语义情绪;以及与使用相关的数据,包括帖子字数和自我报告的情绪。结果:我们在用户的日志帖子中确定了5个主要主题,包括对具体事件、专业和医疗护理、日常活动、夜间症状和厕所/厕所问题的描述。该模型与数据拟合良好,具有最高的一致性得分(0.41)。我们观察到这些主题在字数和语义情感方面的组间差异。此外,晚上发布的帖子比一天中的其他时间更长,语义上也更积极。结论:CareVirtue平台的用户记录了各种不同的主题,包括AD/ADRD的一般经历和特定行为症状,这表明他们希望记录并在整个护理网络中广泛分享。在习惯使用该工具的傍晚时分,帖子的积极程度最高,而在撰写急性事件或症状时,帖子的积极程度最高。我们讨论了将基于信息学的工具嵌入到数字干预中以促进实时内容交付的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The CareVirtue Digital Journal for Family and Friend Caregivers of People Living With Alzheimer Disease and Related Dementias: Exploratory Topic Modeling and User Engagement Study.

Background: As Alzheimer disease (AD) and AD-related dementias (ADRD) progress, individuals increasingly require assistance from unpaid, informal caregivers to support them in activities of daily living. These caregivers may experience high levels of financial, mental, and physical strain associated with providing care. CareVirtue is a web-based tool created to connect and support multiple individuals across a care network to coordinate care activities and share important information, thereby reducing care burden.

Objective: This study aims to use a computational informatics approach to thematically analyze open text written by AD/ADRD caregivers in the CareVirtue platform. We then explore relationships between identified themes and use patterns.

Methods: We analyzed journal posts (n=1555 posts; 170,212 words) generated by 51 unique users of the CareVirtue platform. Latent themes were identified using a neural network approach to topic modeling. We calculated a sentiment score for each post using the Valence Aware Dictionary and Sentiment Reasoner. We then examined relationships between identified topics; semantic sentiment; and use-related data, including post word count and self-reported mood.

Results: We identified 5 primary topics in users' journal posts, including descriptions of specific events, professional and medical care, routine daily activities, nighttime symptoms, and bathroom/toileting issues. This 5-topic model demonstrated adequate fit to the data, having the highest coherence score (0.41) among those tested. We observed group differences across these topics in both word count and semantic sentiment. Further, posts made in the evening were both longer and more semantically positive than other times of the day.

Conclusions: Users of the CareVirtue platform journaled about a variety of different topics, including generalized experiences and specific behavioral symptomology of AD/ADRD, suggesting a desire to record and share broadly across the care network. Posts were the most positive in the early evening when the tool was used habitually, rather than when writing about acute events or symptomology. We discuss the value of embedding informatics-based tools into digital interventions to facilitate real-time content delivery.

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来源期刊
JMIR Aging
JMIR Aging Social Sciences-Health (social science)
CiteScore
6.50
自引率
4.10%
发文量
71
审稿时长
12 weeks
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