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Record W4414341470 · doi:10.2196/75991

Using Smart Displays to Implement an eHealth System for Older Adults With Multiple Chronic Conditions: Randomized Controlled Trial

2025· article· en· W4414341470 on OpenAlexvenueno aff
Gina Landucci, Marie‐Louise Mares, Klaren Pe‐Romashko, John J. Curtin, Yaxin Hu, Adam Maus, Kasey Thompson, Sydney Saunders, Kaitlyn Brown, Judith Woodburn, Bilge Mutlu

Bibliographic record

VenueJMIR Aging · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology Use by Older Adults
Canadian institutionsnot available
FundersNational Center for Advancing Translational SciencesAgency for Healthcare Research and Quality
KeywordseHealthRandomized controlled trialTelemedicinemHealthQuality of life (healthcare)

Abstract

fetched live from OpenAlex

BACKGROUND: Smart displays and speakers offer voice interaction, which may be more accessible and appealing to older adults with chronic pain and other multimorbid conditions. Previous trials found stronger socioemotional benefits of ElderTree (vs control) among those with high primary care use and multiple chronic conditions. OBJECTIVE: This study aims to test whether older adults with chronic pain and multiple other chronic conditions use and benefit more from ElderTree, an eHealth intervention targeting pain and quality of life, when delivered on a smart display. METHODS: We recruited 269 participants from the University of Wisconsin-Madison health system and community organizations and randomly assigned 1:1:1 to (1) smart display with internet and ElderTree, plus usual care; (2) touchscreen laptop with internet and ElderTree, plus usual care; or (3) usual care alone. Participants were aged ≥60 years, had a chronic pain diagnosis or reported chronic pain, and at least 3 common chronic conditions. Primary outcomes were pain interference and psychosocial quality of life. Data sources were baseline, 4-month, and 8-month surveys and continuous ElderTree usage data. RESULTS: No significant differences were found between the laptop versus smart display groups for pain interference (b=-0.11, 95% CI -1.07 to 0.85; P=.82) or psychosocial quality (b=-0.21, 95% CI -0.96 to 0.55; P=.56), nor between the combined laptop+smart display group versus control group for either outcome (pain interference: b=-0.41, 95% CI -1.23 to 0.41; P=.33; psychosocial quality of life: b=0.04, 95% CI -0.61 to 0.69; P=.90). Mediation was not tested because effects on primary outcomes were nonsignificant. Gender did not moderate the effect of laptop versus smart display groups in pain interference (b=-1.56, 95% CI -3.56 to 0.44; P=.13). Gender did moderate the effect of the combined laptop+smart display group versus control group (b=1.91, 95% CI 0.11 to 3.71; P=.04). Women showed a significant decrease in pain interference (b=-0.69, 95% CI -1.29 to -0.10; P=.02), whereas women in the control group showed no significant change (b=0.25, 95% CI -0.53 to 1.04; P=.53). Men in the combined group showed a nonsignificant decrease (b=-0.67, 95% CI -1.47 to 0.14; P=.10), whereas men in the control group showed a significant decrease (b=-1.61, 95% CI -2.88 to -0.35; P=.01). Participants assigned to the laptop versus smart display used ElderTree more frequently and had more favorable perceptions. Analyses of secondary and exploratory outcomes showed no significant differences between groups. CONCLUSIONS: We found no significant differences between the combined ElderTree group and the control group for changes over time in any primary, secondary, or exploratory outcomes. Moderation analyses indicated that only gender moderated study arm effects, and only for the laptop+smart display versus control group on changes over time in the two primary outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT04798196; https://clinicaltrials.gov/ct2/show/NCT04798196. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/37522.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.819

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.360
Teacher spread0.343 · 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 teacher head, not a consensus.

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

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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