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.
Andrew C Pickett, Danny Valdez, Lillian A White, Priya Loganathar, Anna Linden, Justin J Boutilier, Clover Caldwell, Christian Elliott, Matthew Zuraw, Nicole E Werner
Author Information
Andrew C Pickett: Department of Health & Wellness Design, School of Public Health- Bloomington, Indiana University, Bloomington, IN, United States. ORCID
Danny Valdez: Department of Applied Health Science, School of Public Health- Bloomington, Indiana University, Bloomington, IN, United States. ORCID
Lillian A White: Department of Health & Wellness Design, School of Public Health- Bloomington, Indiana University, Bloomington, IN, United States. ORCID
Priya Loganathar: University of Wisconsin-Madison, Madison, WI, United States. ORCID
Anna Linden: University of Wisconsin-Madison, Madison, WI, United States. ORCID
Justin J Boutilier: University of Ottawa, Ottawa, ON, Canada. ORCID
Clover Caldwell: Department of Health & Wellness Design, School of Public Health- Bloomington, Indiana University, Bloomington, IN, United States. ORCID
Christian Elliott: Whiplash Technology, Inc, San Diego, CA, United States. ORCID
Matthew Zuraw: Whiplash Technology, Inc, San Diego, CA, United States. ORCID
Nicole E Werner: Department of Health & Wellness Design, School of Public Health- Bloomington, Indiana University, Bloomington, IN, United States. ORCID
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.
