ArticleScientific reports2025
Pre- and post- COVID-19 trends related to dementia caregiving on Twitter.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the advent of new media, more people are turning to social media to share thoughts and emotions related to personal life experiences. We examined salient concerns of dementia caregivers on Twitter pre- and post-pandemic, aiming to shed light on how to better support and engage dementia caregivers post-COVID-19 pandemic. English tweets related to "dementia" and "caregiver" were extracted between 1st January 2013 and 31st December 2022. A supervised deep learning model (Bidirectional Encoder Representations from Transformers, BERT) was trained to select tweets describing individual's experience related to dementia caregiving. An unsupervised deep learning approach (BERT-based topic modelling) was applied to identify topics from selected tweets, with each topic further grouped into themes manually using thematic analysis. A total of 44,527 tweets were analysed, and stratified using the emergence of COVID-19 pandemic as a threshold. Three themes were derived: challenges of caregiving in dementia, strategies to inspire caregivers, and dementia-related stigmatization. Over time, there is a rising trend of tweets relating to dementia caregiving. Post-pandemic, challenges of caregiving remained the top discussed topic; with a notable increase in tweets related to dementia-related stigmatization (p < 0.001), especially in North America and other continents (and less so in Europe). The findings uncover a worrying trend of growing dementia-related stigmatization among the caregivers, manifested by caregivers internalizing publicly-held stigma and projecting negative stereotypes externally as a means to devalue others. The challenges faced by caregivers also remained a significant concern, highlighting the need for continued support and resources for caregivers even post-pandemic.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.