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Record W4416114157 · doi:10.1371/journal.pone.0336031

Evaluating and implementing The CONNECT Program—A group-based telehealth intervention to reduce social isolation, loneliness, and mental health symptoms in adults 55+ vs routine community programming: Study protocol for a randomized controlled trial

2025· article· en· W4416114157 on OpenAlexafffundabout
Kira Kudar, Georgia Gopinath, Alex Ross, Robert Balshaw, Inga Christianson, Lesley Koven, Corey S. Mackenzie, Stacey Miller, Nancy E. Newall, Kathryn M. Sibley, Alina Sanina, Ronda Wedhorn, Kristin Reynolds

Bibliographic record

VenuePLoS ONE · 2025
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsSaskWaterSt. Thomas UniversityBrandon UniversitySurrey Memorial HospitalUniversity of Manitoba
FundersCanadian Institutes of Health Research
KeywordsMental healthRandomized controlled trialLonelinessTelehealthIntervention (counseling)Protocol (science)TelemedicineSocial supportPsychological intervention

Abstract

fetched live from OpenAlex

BACKGROUND: The population of adults aged 55 years and older in Canada is growing steadily to be one of the largest demographic groups, creating an aging society. Adults 55 + are facing dynamic changes in employment and finances, relationships, living situation, and health, which may contribute to increased psychosocial and psychological challenges, including social isolation, loneliness, depression, and anxiety. Importantly, when adults 55 + need mental health support, they are less likely to access this support compared to other demographics. When supports are grounded in the community and are available through telephone and video-conferencing, access can be improved. Developed in partnership with community organizations, The CONNECT Program is designed to improve the psychosocial well-being of older adults, focusing on psychological flexibility, and in this randomized controlled trial will be compared against routine community-based programming across Canada. METHODS: This randomized crossover trial is embedded within a type 1 hybrid implementation-effectiveness design across four Canadian provinces. Adults aged 55+ with self-reported experiences of loneliness, social isolation, and/or mental health challenges are randomly assigned to begin with either the intervention (The CONNECT Program) or community-based programming, then cross over to the other condition. The CONNECT Program is a six-week, group-based telehealth intervention grounded in Acceptance and Commitment Therapy, self-compassion, theories of successful aging delivered via telephone or videoconference. The primary outcome is psychological flexibility; secondary outcomes include loneliness, social isolation, emotional support, anxiety, depression, and mental health literacy. Implementation outcomes will be assessed using the Proctor Framework. DISCUSSION: The CONNECT Program is a novel community-based mental health intervention addressing the needs of adults 55 + who experience isolation, loneliness and mental health challenges. The results of this trial will strengthen support for a scalable mental health support for Canadians 55+ in a time of high need to promote health in later life. Trial registration The trial was registered on ClinicalTrials.gov: NCT07107906, 08/05/2025, https://clinicaltrials.gov/study/NCT07107906.

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)0.021
metaresearch head score (Gemma)0.024
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 score0.054
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.024
Meta-epidemiology (narrow)0.0050.003
Meta-epidemiology (broad)0.0120.006
Bibliometrics0.0020.003
Science and technology studies0.0030.003
Scholarly communication0.0050.004
Open science0.0030.002
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0540.007

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 head0.093
GPT teacher head0.471
Teacher spread0.378 · 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

Citations1
Published2025
Admission routes3
Has abstractyes

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