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Record W4413965020 · doi:10.2196/73387

Mobile Telehealth Intervention to Support Care Partners of Patients With Alzheimer Disease and Related Dementias (I-CARE 2): Protocol for a Randomized Effectiveness Clinical Trial

2025· article· en· W4413965020 on OpenAlexvenueno aff
Jordan R. Hill, Bailey Gardner, Miriam J. Rodríguez, Lilian Golzarri‐Arroyo, Roger S. Zoh, Zayn Boustani, Jacqueline Burnell, Evan J. Jordan, Malaz Boustani, Richard J. Holden

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersNational Institute on AgingNational Institutes of Health
KeywordsMedicineDementiaTelehealthRandomized controlled trialIntervention (counseling)OutreachHealth careTelemedicineDiseaseNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Nearly all individuals with Alzheimer disease and related dementias (ADRD) experience behavioral and psychological symptoms of dementia (BPSD), which include symptoms such as agitation, wandering, delusions, and hallucinations. Care partners (a person, often a family member, who provides care and support to someone with ADRD) struggle to manage BPSD, making symptom management a critical focus of intervention research. Our team has developed a mobile telehealth intervention (Brain CareNotes) to help care partners manage BPSD. OBJECTIVE: This paper outlines a protocol for a randomized controlled trial of 160 care partners of patients with ADRD to test the effect of Brain CareNotes on care partner burden and patients' BPSD. METHODS: Participants will be recruited from partner health systems in Indiana, United States, by word of mouth, and through community outreach efforts. They will be randomly assigned to use either the Brain CareNotes mobile app intervention-which helps care partners manage BPSD through the support of a care coach, written and visual materials on developing care skills, and BPSD measurement and tracking-or an education-only mobile app control for 12 months. Data will be collected over the phone at baseline, 6 months, and 12 months. Primary outcomes assessed for this trial are (1) care partner burden and (2) patients' BPSD. Secondary and exploratory outcomes assessed include care partner depressive symptoms, patient and care partner acute care use, intervention usability and acceptability, and intervention use. The trial will also collect patient and care partner demographics and measure care partner self-efficacy, care partner social support, patients' ADRD severity, and patients' functional abilities. RESULTS: As of March 2025, we have enrolled 159 participants, and 42 have successfully completed the study. CONCLUSIONS: Brain CareNotes is a unique mobile app intervention to support care partners in managing BPSD. Due to the scalability of mobile health interventions, if Brain CareNotes is shown to be effective in reducing caregiver burden and patients' BPSD, it has the potential for widespread adoption to support many ADRD care partners. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/73387.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.030
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.097
Threshold uncertainty score0.326

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.028
Meta-epidemiology (narrow)0.0080.004
Meta-epidemiology (broad)0.0110.006
Bibliometrics0.0030.003
Science and technology studies0.0050.004
Scholarly communication0.0050.004
Open science0.0040.003
Research integrity0.0090.009
Insufficient payload (model declined to judge)0.0970.017

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.136
GPT teacher head0.611
Teacher spread0.474 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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