Evidence map›Paper›PMID 37255661›Full record

ArticleiScience2023

A natural language processing approach reveals first-person pronoun usage and non-fluency as markers of therapeutic alliance in psychotherapy.

Jihan Ryu, Stephen Heisig, Caroline McLaughlin, Michael Katz, Helen S Mayberg, Xiaosi Gu

Abstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Jihan RyuDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Stephen HeisigDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Caroline McLaughlinDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Michael KatzClinical Psychology Doctoral Program, School of Health Professions and Nursing, Long Island University - CW Post Campus, Greenvale, NY, USA.
Helen S MaybergDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Xiaosi GuDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
NCATS NIH HHS UL1 TR004419
6 · The paper itself

Abstract

It remains elusive what language markers derived from psychotherapy sessions are indicative of therapeutic alliance, limiting our capacity to assess and provide feedback on the trusting quality of the patient-clinician relationship. To address this critical knowledge gap, we leveraged feature extraction methods from natural language processing (NLP), a subfield of artificial intelligence, to quantify pronoun and non-fluency language markers that are relevant for communicative and emotional aspects of therapeutic relationships. From twenty-eight transcripts of non-manualized psychotherapy sessions recorded in outpatient clinics, we identified therapists' first-person pronoun usage frequency and patients' speech transition marking relaxed interaction style as potential metrics of alliance. Behavioral data from patients who played an economic game that measures social exchange (i.e. trust game) suggested that therapists' first-person pronoun usage may influence alliance ratings through their diminished trusting behavior toward therapists. Together, this work supports that communicative language features in patient-therapist dialogues could be markers of alliance.

Indexed as

Machine learningPsychiatry

Identifiers

PMID37255661
PMCPMC10225921

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.