Evidence map›Paper›PMID 39246419›Full record

ArticleArtificial intelligence in health2024

Experiences of Alzheimer's disease and related dementia family caregivers on Reddit communities: A topic modeling and sentiment analysis.

Yulin Hswen, Jiangmei Xiong, Margaret Hurley, Thu T Nguyen

Abstract read
In one paragraph

Article in Artificial intelligence in health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yulin HswenDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America.ORCID 0000-0003-3203-1322
Jiangmei XiongDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.ORCID 0000-0002-7481-765X
Margaret HurleyJohn Snow Inc, Washington, D.C., United States of America.
Thu T NguyenDepartment of Epidemiology and Biostatistics, College Park, University of Maryland School of Public Health, District of Columbia, United States of America.ORCID 0000-0003-1185-045X

Funding

Risk and strength: determining the impact of area-level sentiment and protective factors on birth outcomesR01MD015716 · NIMHD · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, THU · 2021 to 2025
$3.6M
UCSF Data Science Training to Advance Behavioral and Social Science Expertise for Health Research (DaTABASE) ProgramT32MD015070 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI William Brown III, Yulin Hswen · 2020 to 2026
$1.7M
Place-level discrimination and birth outcomesR00MD012615 · NIMHD · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, THU · 2020 to 2022
$720k
NIMHD NIH HHS R00 MD012615NIMHD NIH HHS R01 MD015716NIMHD NIH HHS T32 MD015070
6 · The paper itself

Abstract

Alzheimer's disease and related dementias (ADRD) are a spectrum of disorders characterized by cognitive decline, which pose significant challenges for both affected individuals and their caregivers. Previous literature has focused on patient family surveys which do not always capture the breadth of authentic experiences of the caregiver. Online social media platforms provide a space for individuals to share their experiences and obtain advice toward caring for those with ADRD. This study leverages Reddit, a platform frequented by caregivers seeking advice for caring for a family member with advice for ADRD. To identify the topics of discussion or advice that most caregivers seek and sought after, we employed structured topic modeling techniques such as BERTopic to analyze the content of these posts and use an intertopic distance map to discern the variation in themes across different Reddit categories. In addition, we analyze the sentiment of the Reddit postings using Valence Aware Dictionary and Sentiment Reasoner to deduce the degree of negative, positive, and neutral sentiment of the discussion posts. Our findings reveal that the topics that caregivers most frequently discuss and seek advice for were related to caregiver stories, community support, and concerns ADRD. Specifically, we aimed to reproduce an organic Reddit search of caregiving of abuse on family member, financial struggles, symptoms of hallucinations, and repetition in ADRD family members. These results underscore the importance of online communities for gaining a comprehensive understanding of the multifaceted experiences and challenges faced by ADRD caregivers.

Indexed as

Alzheimer’sAlzheimer’s disease and related dementiasBERTopicCaregiverDementiaNatural language processingRedditSentiment analysisSocial mediaTopic analysis

Identifiers

PMID39246419
PMCPMC11378727

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.