Evidence map›Paper›PMID 39537826›Full record

ArticleNpj mental health research2024

Mental health care needs of caregivers of people with Alzheimer's disease from online forum analysis.

Jiyeong Kim, Zhuo Ran Cai, Michael L Chen, Shawheen J Rezaei, Sonia Onyeka, Carolyn I Rodriguez, Tina Hernandez-Boussard, Vladimir Filkov, Rachel A Whitmer, Eleni Linos and 1 more

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Article in Npj mental health research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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  5. Review
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

11 authors.

Jiyeong KimDepartment of Medicine, Stanford Center for Digital Health, Stanford University, Stanford, CA, USA. jykim3@stanford.edu.ORCID http://orcid.org/0000-0002-2869-5751
Zhuo Ran CaiDepartment of Medicine, Stanford Center for Digital Health, Stanford University, Stanford, CA, USA.
Michael L ChenDepartment of Medicine, Stanford Center for Digital Health, Stanford University, Stanford, CA, USA.
Shawheen J RezaeiDepartment of Medicine, Stanford Center for Digital Health, Stanford University, Stanford, CA, USA.
Sonia OnyekaDepartment of Medicine, Stanford Center for Digital Health, Stanford University, Stanford, CA, USA.
Carolyn I RodriguezDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
Tina Hernandez-BoussardDepartment of Medicine, Biomedical Informatics, Stanford University, Stanford, CA, USA.
Vladimir FilkovDepartment of Computer Science, College of Engineering, University of California Davis, Davis, CA, USA.
Rachel A WhitmerDepartment of Public Health Sciences, School of Medicine, University of California, Davis, Davis, CA, USA.
Eleni Linos *Department of Medicine, Stanford Center for Digital Health, Stanford University, Stanford, CA, USA.
Yong K Choi *Department of Health Information Management, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

UC Davis Alzheimer's Disease Research CenterP30AG072972 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Rachel A Whitmer · 2021 to 2026
$25.2M
Identifying Optimal Pain Management for EldersR01HS027434 · AHRQ · STANFORD UNIVERSITY · PI CURTIN, CATHERINE MILLS, HERNANDEZ-BOUSSARD, TINA · 2021 to 2025
$1.9M
Patient Oriented Research in Vulnerable Populations with Skin DiseaseK24AR075060 · NIAMS · STANFORD UNIVERSITY · PI Eleni Linos · 2019 to 2026
$1.6M
Leveraging Large Language Models and Machine Learning Algorithms to Assess Depression and Anxiety Symptoms and Risks for Patients with Cardiovascular Disease or Diabetes MellitusK01MH137386 · NIMH · STANFORD UNIVERSITY · PI Jiyeong Kim · 2024 to 2026
$406k
AHRQ HHS R01 HS027434NIA NIH HHS P30 AG072972NIH HHS K01MH137386NIH HHS K24AR075060
6 · The paper itself

Abstract

Informal caregivers of people with Alzheimer's disease and related dementias (ADRD) are at risk of poor mental health. This study aimed to investigate the feasibility and validity of studying caregivers' mental stressors using online caregiving forum data (March 2018-February 2022) and natural language processing and machine learning (NLP/ML). NLP/ML topic modeling generated eight prominent topics, which we compared with qualitatively defined themes and the existing caregiving framework to assess validity. Among a total of 60,182 posts, 5848 were mental distress-related; for the ADRD patients (symptoms, medication, relocation, care duty share, diagnosis, conversation strategy) and the caregivers (caregiving burden and support). While we observed novel topics from NLP/ML-defined topics, mostly those were aligned with the existing framework. For feasibility assessment, qualitative title screening was done. The findings shed new light on the potential of NLP/ML text analysis of the online forum for informal caregivers to prepare tailored support for this vulnerable population.

Identifiers

PMID39537826
PMCPMC11561247

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Registered trials

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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.