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Record W4409460388 · doi:10.1080/09515070.2025.2491349

“The therapist responded to my coaching”: patients’ perspectives on coaching communications in psychotherapy

2025· article· en· W4409460388 on OpenAlexafffund
David Kealy, Sarah Woolgar, Elizabeth Li, James McCollum, George Silberschatz

Bibliographic record

VenueCounselling Psychology Quarterly · 2025
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsUniversity of British Columbia
FundersMichael Smith Health Research BC
KeywordsCoachingPsychotherapistPsychology

Abstract

fetched live from OpenAlex

Patients in psychotherapy may inform, orient, and redirect their therapist according to their particular problems, goals, and needs––conceptualized by Control-Mastery Theory as the patient coaching the therapist. Yet there has been limited research on patients’ subjective experiences of engaging in coaching communication. This study used an online survey to obtain patients’ perspectives on the degree to which they coached their therapist and the effects and implications of having done so. Of 248 participants who had received psychotherapy, 123 provided text responses for qualitative analysis regarding their experience of coaching communication. Thematic analysis was employed to extract themes from these narratives. Major themes included the use of coaching to orient the therapist to desired goals and preferred intervention approaches, and to redirect the therapist when necessary. Themes regarding the impact of coaching included positive experiences when coaching was well received and negative experiences when therapists ignored the patient’s coaching. Findings from this preliminary investigation suggest that coaching communication may be an important feature of the therapeutic process for many patients, with implications for therapist responsiveness and therapy outcomes. Moreover, the findings indicate that patients’ coaching communication is a worthy subject for future psychotherapy research.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.821
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.400
Teacher spread0.371 · 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.

Study designNot applicable
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

Citations2
Published2025
Admission routes2
Has abstractyes

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