An Investigation of the Interaction Patterns of Peer Patrons on an Online Peer-Support Portal for Informal Caregivers of Alzheimer’s Patients

Social media and caregivers' well-being: A scoping review and future research directions

Caregivers' well-being has become a major social concern, given the growing demand for long-term care support to meet the challenges of an aging society. As social media becomes substantially pervasive in daily life, the impacts of social media on caregivers' well-being are increasingly gaining public attention. Although research activities are active, studies on social media and caregivers' well-being lack consolidation and receive limited attention from researchers. To bridge the gaps, this study aims to consolidate the existing knowledge through a scoping review (with four databases: PubMed, Web of Science, Scopus, and CINAHL) and call for research on caregivers from the perspective of social media and well-being. Review results from forty eligible papers indicate that impacts of social media use on caregivers' well-being are not always positive, which encourages future research to provide more understanding of how to achieve positive effects and avoid adverse effects simultaneously. We also further discuss the findings and suggest future investigation opportunities.

Investigating the Readability and Linguistic, Psychological, and Emotional Characteristics of Digital Dementia Information Written in the English Language: Multitrait-Multimethod Text Analysis

BACKGROUND

Past research in the Western context found that people with dementia search for digital dementia information in peer-reviewed medical research articles, dementia advocacy and medical organizations, and blogs written by other people with dementia. This past work also demonstrated that people with dementia do not perceive English digital dementia information as emotionally or cognitively accessible.

OBJECTIVE

In this study, we sought to investigate the readability; linguistic, psychological, and emotional characteristics; and target audiences of digital dementia information. We conducted a textual analysis of 3 different types of text-based digital dementia information written in English: 300 medical articles, 35 websites, and 50 blogs.

METHODS

We assessed the text's readability using the Flesch Reading Ease and Flesch-Kincaid Grade Level measurements, as well as tone, analytical thinking, clout, authenticity, and word frequencies using a natural language processing tool, Linguistic Inquiry and Word Count Generator. We also conducted a thematic analysis to categorize the target audiences for each information source and used these categorizations for further statistical analysis.

RESULTS

The median Flesch-Kincaid Grade Level readability score and Flesch Reading Ease score for all types of information (N=1139) were 12.1 and 38.6, respectively, revealing that the readability scores of all 3 information types were higher than the minimum requirement. We found that medical articles had significantly (P=.05) higher word count and analytical thinking scores as well as significantly lower clout, authenticity, and emotional tone scores than websites and blogs. Further, blogs had significantly (P=.48) higher word count and authenticity scores but lower analytical scores than websites. Using thematic analysis, we found that most of the blogs (156/227, 68.7%) and web pages (399/612, 65.2%) were targeted at people with dementia. Website information targeted at a general audience had significantly lower readability scores. In addition, website information targeted at people with dementia had higher word count and lower emotional tone ratings. The information on websites targeted at caregivers had significantly higher clout and lower authenticity scores.

CONCLUSIONS

Our findings indicate that there is an abundance of digital dementia information written in English that is targeted at people with dementia, but this information is not readable by a general audience. This is problematic considering that people with <12 years of education are at a higher risk of developing dementia. Further, our findings demonstrate that digital dementia information written in English has a negative tone, which may be a contributing factor to the mental health crisis many people with dementia face after receiving a diagnosis. Therefore, we call for content creators to lower readability scores to make the information more accessible to a general audience and to focus their efforts on providing information in a way that does not perpetuate overly negative narratives of dementia.

Staying connected: Alzheimer's hashtags and opportunities for engagement and overcoming stigma

Alzheimer's disease (AD) is a terminal, neurodegenerative disease, and consequently is difficult to communicate about as it is stigmatized, and discussions are rife with misconceptions. By situating AD conversations in the sociocultural space of the opportunity model of presence during the end-of-life process, a framework developed illustrating the potential trajectory from living with illness through death and into bereavement, we examined networked discussions surrounding Alzheimer's related hashtags on Twitter (N = 132,803) between January 1st, 2010, and September 29th, 2021. Using the mixed-method approach of the Analysis of Topic Model Network (ANTMN) framework, results revealed 30 topics clustered into five distinct themes: promotion, education, action, "You aren't alone", and dementia. Results indicated that discussions surrounding World Alzheimer's Day focused on changing stigma and promoting engagement in difficult conversations. The frequency of themes over time remained relatively stable. By understanding how Twitter's online discourse may be used to overcome stigmatized topics, we can continue to tailor messages to reduce stigma and provide support for those who experience similar health issues.

Effects of e-Health Training and Social Support Interventions for Informal Caregivers of People with Dementia-A Narrative Review

Along with the burden commonly experienced by informal caregivers (ICs) of people with dementia (PwD), associated with the progressive decline that accompanies dementia, the lockdown due to the public health crisis has had a great negative impact on the emotional wellbeing, physical health, and social relationships of ICs. Support interventions through telemedicine represent an opportunity for ICs to learn the skills required for the care and maintenance of social networks. In this work, a narrative review of the effects of e-health training and social support interventions was carried out. A literature search was conducted using the ProQuest, Ovid, and Scopus databases. Information regarding social support (SS), psychological interventions, and training for the management of medications and behavioral changes was extracted. One hundred and nine studies were included in this review. Forums and training platforms were the main tools for ICs. The most effective platforms to improve SS include the participation of both ICs and health professionals. However, no significant improvements in objective caring skills were identified. Platforms developed specifically for ICs should be based in tools that ICs are familiar with, because many ICs have not yet incorporated Information and Communication Technologies in many activities of their daily lives. Education in the digitalization to ICs of PwD should be one of the priority objectives in telehealth interventions.

An empirical study investigating the user acceptance of a virtual conversational agent interface for family health history collection among the geriatric population

Critical for the early diagnosis of genetic disorders, a Family Health History (FHx) can be collected in several ways including electronic FHx tools, which aid easy editing and sharing by linking with other information management portals. The user acceptance of such systems is critical, especially among older adults experiencing motor and cognitive issues. This study investigated two types of FHx interfaces, standard and Virtual Conversational Agent (VCA), using 30 young (between 18 and 30) and 24 older participants (over 60). Workload, usability and performance data were collected. Even though participants required less time to complete three of five tasks on the standard interface, the VCA interface performed better in terms of subjective workload and usability. Additionally, 67% of the older adults preferred the VCA interface since it provided context-based guidance during the data collection process. The results from this study have implications for the use of virtual assistants in FHx and other areas of data collection.