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Record W4392964274 · doi:10.1177/10497315241236966

Comparative Efficacy of Online vs. Face-to-Face Group Interventions: A Systematic Review

2024· review· en· W4392964274 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResearch on Social Work Practice · 2024
Typereview
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPsychologyPsychological interventionFace (sociological concept)Face-to-faceClinical psychologyApplied psychologyMedical educationSocial psychologyMedicinePsychiatrySociologySocial science

Abstract

fetched live from OpenAlex

Purpose: Online group-based interventions are widely adopted, but their efficacy, when compared with similar face-to-face (F2F) psychosocial group interventions, has not been sufficiently examined. Methods: This systematic review included randomly controlled trials (RCTs) that compared an intervention/model delivered in both F2F and online formats. The review adhered to PRISMA guidelines and was registered with PROSPERO. Results: The search yielded 15 RCTs. Effect sizes ranged from small to exceptionally large. Between-condition effect sizes yielded nonsignificant differences in effectiveness except for three studies that reported superior effectiveness in outcomes for F2F interventions. High heterogeneity was found where only two studies integrated rigorous designs, thus limiting opportunity for a meta-analysis evaluation. Conclusions: Most studies showed comparable outcomes in both F2F and online modalities. However, given the heterogeneity of samples and outcomes, it is premature to conclude that online treatment is as effective as F2F for all challenges and populations.

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.

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)0.009
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.357
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.006
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.027

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 head0.540
GPT teacher head0.674
Teacher spread0.134 · 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