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Record W4403187522 · doi:10.2196/preprints.67048

Web-Based Education Program for Care Partners of People Living With Dementia (iGeriCare): Protocol for a Pilot Randomized Controlled Trial (Preprint)

2024· preprint· en· W4403187522 on OpenAlexaboutno aff
Anthony J Levinson, Stephanie Ayers, Sandra Clark, Rebekah Woodburn, Maureen Markle‐Reid, Doug Oliver, Αλεξάνδρα Παπαϊωάννου, Henry Siu, Richard Sztramko

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsPreprintDementiaProtocol (science)Randomized controlled trialGerontologyMedicineWorld Wide WebComputer scienceAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND The prevalence of dementia is increasing in Canada and in many countries internationally. People living with dementia are highly dependent on family and friend care partners, who may have little knowledge of the disorder. Web-based interventions in dementia have been shown to improve care partner mental health and reduce burden, but few have been widely implemented or rigorously studied. We developed a web- and email-based dementia education platform for care partners, iGeriCare, which includes 12 asynchronous, multimedia, e-learning lessons and email-based content to reinforce the learning. OBJECTIVE The primary objective of this pilot study is to evaluate the feasibility and care partner acceptance of the intervention, including study methods. Secondary objectives will examine the effectiveness of the educational resources on family care partners’ knowledge, self-efficacy, and sense of burden. METHODS This study is a 2-arm, pilot, feasibility, randomized controlled trial. A total of 125 family or friend care partners for a person living with dementia—who are residing in Canada, aged 16+ years, and comfortable using the internet and email—will be recruited using coinvestigator networks and Facebook digital marketing advertisements. Participants will be randomly assigned to either the intervention group (receiving the dementia web- and email-based educational intervention) or the control group (receiving an alternate topic e-learning lesson and emails) and will have 8 weeks to complete baseline surveys and the assigned e-learning. After 8 weeks, participants will have 2 weeks to complete poststudy surveys. This protocol will be repeated with a second cohort of 100 care partners recruited from a paid panel service based on learnings from initial feasibility results. RESULTS Initial recruitment began on September 6, 2022, and concluded on October 2, 2022. A total of 125 participants were randomly assigned to the intervention (n=61) or control (n=64) group. Data collection concluded in January 2023. Preliminary feasibility results showed a substantial number of participants who did not engage with the protocol as intended. A decision was made to recruit a second cohort of participants to address these protocol deviations. Secondary recruitment began on June 12, 2023, and concluded on June 27, 2023. A total of 100 participants were randomly assigned to the intervention (n=53) or control (n=47) group. Data collection concluded in September 2023. Further results will be published in peer-reviewed journals and presented at conferences. CONCLUSIONS This study is investigating the feasibility, acceptability, and effectiveness of a web- and email-based dementia care partner educational intervention. The results of this study will contribute to the planning of a larger randomized controlled trial in the future, as well as the evaluation of innovative, cost-effective, and efficient dementia care partner resources that can complement traditional approaches. CLINICALTRIAL ClinicalTrials.gov NCT05114187; https://clinicaltrials.gov/study/NCT05114187 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/67048

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)0.026
metaresearch head score (Gemma)0.021
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 score0.105
Threshold uncertainty score0.353

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.021
Meta-epidemiology (narrow)0.0060.004
Meta-epidemiology (broad)0.0100.005
Bibliometrics0.0030.003
Science and technology studies0.0040.003
Scholarly communication0.0040.004
Open science0.0030.002
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.1050.015

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 head0.047
GPT teacher head0.452
Teacher spread0.405 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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