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Record W4308624748 · doi:10.2196/44138

Outcomes of a Live Messaging, Blended Care Coaching Program Among Adults With Symptoms of Anxiety: Pragmatic Retrospective Cohort Study

2022· article· en· W4308624748 on OpenAlexvenueno aff
Jocelynn T. Owusu, Shao-Fang Wang, Robert E. Wickham, Sarah F Smith, Jennifer L. Lee, Connie Chen, Anita Lungu

Bibliographic record

VenueJMIR Formative Research · 2022
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsCoachingAnxietyPsychological interventionMental healthPsychologyClinical psychologyGeneralized anxiety disorderMedicinePsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

BACKGROUND: Anxiety disorders are common and can be debilitating. In addition, various barriers exist that can hinder access to adequate care. Coaching that is grounded in evidence-based interventions and delivered via synchronous (ie, live) text-based messaging could potentially increase the reach of mental health services among populations who select this modality instead of other services (eg, face-to-face coaching and psychotherapy). In addition, the delivery of live messaging coaching within a blended care model has the potential to combine the benefits of coaching with those of evidence-based digital mental health tools. OBJECTIVE: This real-world study evaluates the anxiety and satisfaction outcomes of live messaging coaching blended with digital tools (ie, digital exercises and activities). METHODS: This was a retrospective cohort study of 121 adults with moderate levels of anxiety symptoms at the beginning of coaching (Generalized Anxiety Disorder-7 [GAD-7] scores: range 8-14). Participants received an employer-offered blended messaging coaching (BMC) program, and those who opted to receive all live coaching sessions via text-based messaging were included. Anxiety symptom severity was regularly measured by using the GAD-7 scale. Using growth curve models, the change in GAD-7 scores over the course of BMC was evaluated, as were the effects of text-based coaching sessions on GAD-7 scores. The proportion of participants that had a reliable improvement in anxiety symptom severity (GAD-7 score reduction of ≥4) or subclinical symptom severity (GAD-7 score of <8) at the end of care was also estimated. Participants also self-reported their likelihood of recommending their live messaging coach to someone with similar needs. RESULTS: : b=0.06; P<.001). Each live messaging coaching session was associated with significantly lower anxiety symptom severity during the week of the coaching session (b=-1.56; P<.001) and the week immediately following the session (b=-1.03; P<.001). Overall, 86% (104/121) of participants had subclinical symptom severity or a reliable reduction in anxiety symptom severity by the end of care. Further, 33.1% (40/121) of participants reported coaching satisfaction levels; of the 40 participants in this subset, 37 (92.5%) were likely or extremely likely to recommend their live messaging coach. CONCLUSIONS: BMC that provides coaching sessions via live messaging can be beneficial for adults with moderate symptoms of anxiety who qualify for and self-select this care modality. Large-scale studies with longer follow-ups are needed.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.025
GPT teacher head0.434
Teacher spread0.410 · 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 designObservational
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

Citations3
Published2022
Admission routes1
Has abstractyes

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