Evidence map›Paper›PMID 41330576›Full record

ArticleJMIR formative research2025

Depression and Anxiety Outcomes in a Technology-Enabled Psychotherapy Practice: Retrospective Cohort Study.

Nicholas R Forand, Jasmine Nettiksimmons, Margaret Anton, Raven Truxson, Karl Vanderwood, Brandn Green

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nicholas R Forand *Two Chairs, San Francisco, CA, United States.ORCID 0000-0003-3837-7121
Jasmine Nettiksimmons *Two Chairs, San Francisco, CA, United States.ORCID 0009-0004-5593-1248
Margaret Anton *Two Chairs, San Francisco, CA, United States.ORCID 0000-0002-8413-5273
Raven Truxson *JG Research & Evaluation, Bozeman, MT, United States.ORCID 0009-0003-5291-973X
Karl Vanderwood *JG Research & Evaluation, Bozeman, MT, United States.ORCID 0009-0002-9994-2374
Brandn Green *JG Research & Evaluation, Bozeman, MT, United States.ORCID 0000-0002-1017-8887

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental health conditions account for significant distress, burden, and societal costs. Despite efforts to implement evidence-based practices (EBPs), access to high-quality mental health treatment in general practice remains limited and clinical outcomes suboptimal. Measurement-based care (MBC) is a transtheoretical and transdiagnostic strategy that has the potential, when implemented effectively, to improve the quality of care. Digital tools can also support clinicians by alleviating administrative tasks and providing in-the-moment performance data and clinical decision support.

objectiveThis study aimed to examine patient retention in care and depression and anxiety outcomes in a technology-enabled psychotherapy practice where clinicians were supported by a suite of innovations, including an MBC platform and clinical decision support tools.

methodsThis retrospective cohort study examined 2984 adults who initiated mental health treatment with Two Chairs, a hybrid technology-enabled behavioral health provider, from January 1 to June 30, 2024. Rates of reliable change, recovery, remission, deterioration, and the magnitude and trajectory of symptom change in depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9) and General Anxiety Disorder-7 (GAD-7).

resultsThe participants demonstrated high rates of retention in care (3183/3572, 89.1%) and MBC survey completion (3440/3572, 96.3%). From baseline to the 12th session, patients showed significant symptom improvements in depression and anxiety, achieving high rates of reliable improvement (65.8%, 95% CI 64.0%-67.5%) and recovery (53.2%, 95% CI 51.4%-55.0%), with 71.3% (95% CI 69.7%-72.9%) of patients achieving either outcome. Outcomes continued to improve up to the point of completion of the treatment episode (79.2%, 95% CI 77.5%-80.9%, of patients achieving improvement or recovery). Pre- to posttreatment effect sizes were large (all Cohen d>0.9).

conclusionsThe results of this study show that technology-enabled MBC and clinical decision support systems (CDSSs) may support high-quality patient outcomes in mental health.

Indexed as

AnxietyAnxiety DisordersDepressionPsychotherapyAdultFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment Outcomeanxietydepressionmeasurement-based caremental healthmental health carepsychotherapy

Identifiers

PMID41330576
PMCPMC12709161

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Registered trials

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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.