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Balancing Caregiving and Self-Care: Exploring Mental Health Needs of Alzheimer's and Dementia Caregivers
Jiayue Melissa Shi, Keran Wang, Dong Whi Yoo, Ravi Karkar, Koustuv Saha. Proceedings of the ACM on Human-Computer Interaction, 2025-10-16
Topic: Risk, prevention and care in population studies
Plain-language summary
Alzheimer's Disease and Related Dementias (AD/ADRD) are progressive neurodegenerative conditions that impair memory, thought processes, and functioning. Family caregivers of individuals with AD/ADRD face significant mental health challenges due to long-term caregiving responsibilities. Yet, current support systems often overlook the evolving nature of their mental wellbeing needs. Our study examines caregivers' mental wellbeing concerns, focusing on the practices they adopt to manage the burden of caregiving and the technologies they use for support. Through semi-structured interviews with 25 family caregivers of individuals with AD/ADRD, we identified the key causes and effects of mental health challenges and developed a temporal mapping of how caregivers' mental wellbeing evolves across three distinct stages of the caregiving journey. Additionally, our participants shared insights into improvements for existing mental health technologies, emphasizing the need for accessible, scalable, and personalized solutions that adapt to caregivers' changing needs over time. These findings offer a foundation for designing dynamic, stage-sensitive interventions that holistically support caregivers' mental wellbeing, benefiting both caregivers and care recipients.
What this study adds
Evidence grade: Low
This interview study of 25 family caregivers describes their mental health challenges and how their needs change across three stages of the caregiving journey. It offers a foundation for designing stage-sensitive mental health technologies, but it did not test whether any such intervention helps.
Taken from this record’s own fields, not from reading the paper. The grade is assigned from the abstract’s wording; what that means.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Shi, J. M., Wang, K., Yoo, D. W., Karkar, R., & Saha, K. (2025). Balancing Caregiving and Self-Care: Exploring Mental Health Needs of Alzheimer's and Dementia Caregivers. Proceedings of the ACM on Human-Computer Interaction. https://doi.org/10.1145/3757555
Vancouver
Shi JM, Wang K, Yoo DW, Karkar R, Saha K. Balancing Caregiving and Self-Care: Exploring Mental Health Needs of Alzheimer's and Dementia Caregivers. Proceedings of the ACM on Human-Computer Interaction. 2025. doi:10.1145/3757555.
BibTeX
@article{shi2025-64d8fdc3,
author = {Shi, Jiayue Melissa and Wang, Keran and Yoo, Dong Whi and Karkar, Ravi and Saha, Koustuv},
title = {{Balancing Caregiving and Self-Care: Exploring Mental Health Needs of Alzheimer's and Dementia Caregivers}},
journal = {Proceedings of the ACM on Human-Computer Interaction},
year = {2025},
doi = {10.1145/3757555},
url = {https://doi.org/10.1145/3757555}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Key findings
- Family caregivers of individuals with AD/ADRD face significant mental health challenges due to long-term caregiving responsibilities.
- These findings offer a foundation for designing dynamic, stage-sensitive interventions that holistically support caregivers' mental wellbeing, benefiting both caregivers and care recipients.
Why it matters
This interview study of 25 family caregivers describes their mental health challenges and how their needs change across three stages of the caregiving journey. It offers a foundation for designing stage-sensitive mental health technologies, but it did not test whether any such intervention helps.
New to this subject? Start with our plain-English guide: Caregiving →
Study details
- Evidence strengthLow
How this study scored 39/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomized / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Proceedings of the ACM on Human-Computer Interaction) |
| Journal's citation record | 1 / 4 | Proceedings of the ACM on Human-Computer Interaction: journal h-index 108 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomized / blinded | 0 / 2 | No randomization or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 2 / 7 | Cited 12 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 4.0 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 3 / 6 | Cited 7.6× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 1 / 6 | Cited by 1 other studies in this library |
| Still being cited | 1 / 4 | Cited 12 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Koustuv Saha: h-index 32 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | University of Illinois Urbana-Champaign: institution h-index 1,439 (OpenAlex) |
| Multicenter collaboration | 1 / 3 | OpenAlex lists 3 institution(s) in 1 country |
| Indexed in PubMed | 1 / 2 | Not in PubMed, but has a DOI |
| Free to read | 2 / 2 | Free to read |
| Total | 39 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1145/3757555
- Original source →
- Free full text: Proceedings of the ACM on Human-Computer Interaction →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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