Evidence map›Paper›PMID 41890836›Full record

ArticleResearch square2026

Therapist Memory for Treatment Contents: Implications for Patient Outcomes.

Catherine A Callaway, Anne E Milner, Garret G Zieve, Leighann Ashlock, Allison G Harvey

Abstract readPreprint
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Catherine A CallawayStanford University.
Anne E MilnerUniversity of California, Berkeley.
Garret G ZieveOakland Cognitive Behavior Therapy Center, CA.
Leighann AshlockUniversity of California, Berkeley.
Allison G HarveyUniversity of California, Berkeley.

Funding

Implementing and Sustaining a Transdiagnostic Sleep and Circadian Treatment to Improve Severe Mental Illness Outcomes in Community Mental Health.R01MH120147 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI HARVEY, ALLISON G · 2019 to 2023
$3.9M
Improving Depression Outcome by Enhancing Memory for Cognitive TherapyR01MH108657 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI HARVEY, ALLISON G · 2016 to 2019
$3.0M
NIMH NIH HHS R01 MH108657NIMH NIH HHS R01 MH120147
6 · The paper itself

Abstract

Objective: This secondary analysis evaluates the impact of therapist memory on patient outcomes in the context of a randomized trial comparing cognitive therapy plus memory support (CT+Memory Support) to cognitive therapy as usual (CT-as-usual). Method: Participants were 172 adults (mean age [SD] = 37.46 [15.31]; 62.79% female; 59.88% Caucasian) with major depressive disorder. Patients were treated by 19 therapists (age mean [SD] = 28.4 [5.95] years; 78.95% female; 42.11% Caucasian), with each therapist treating an average of 9 patients. Therapists completed cumulative and past session recall assessments immediately following sessions during weeks 4, 8, and 12, and the final session. Patient depression symptom severity (Inventory for Depressive Symptomatology Self-Report) and functional impairment (World Health Organization Disability Assessment Schedule 2.0) were self-reported at pre-treatment, post-treatment, 6-month (6FU), and 12-month follow-ups (12FU). Results: Multilevel modeling revealed that better therapist cumulative recall predicted lower depression severity from pre- to post-treatment (unstandardized Conclusions: These results signal a relationship between therapist memory and patient outcomes. Future research is needed to verify these findings and investigate ways to optimize therapist memory for treatment.

Indexed as

cognitive therapydepressionmemory supportpatient outcomestherapist recall

Identifiers

PMID41890836
PMCPMC13015615

What OpenQuestion holds

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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.