Evidence map›Paper›PMID 38365635›Full record

ReviewBMC psychiatry2024

Action recommendations review in community-based therapy and depression and anxiety outcomes: a machine learning approach.

Amit Spinrad, C Barr Taylor, Josef I Ruzek, Samuel Jefroykin, Tamar Friedlander, Israela Feleke, Hila Lev-Ari, Natalia Szapiro, Shiri Sadeh-Sharvit

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Amit SpinradEleos Health, 117 Kendrick Street, Suite 300, Needham, MA, 02494, USA. amits@eleos.health.
C Barr TaylorCenter for m2Health, Palo Alto University, Palo Alto, CA, USA.
Josef I RuzekCenter for m2Health, Palo Alto University, Palo Alto, CA, USA.
Samuel JefroykinEleos Health, 117 Kendrick Street, Suite 300, Needham, MA, 02494, USA.
Tamar FriedlanderEleos Health, 117 Kendrick Street, Suite 300, Needham, MA, 02494, USA.
Israela FelekeEleos Health, 117 Kendrick Street, Suite 300, Needham, MA, 02494, USA.
Hila Lev-AriEleos Health, 117 Kendrick Street, Suite 300, Needham, MA, 02494, USA.
Natalia SzapiroEleos Health, 117 Kendrick Street, Suite 300, Needham, MA, 02494, USA.
Shiri Sadeh-SharvitEleos Health, 117 Kendrick Street, Suite 300, Needham, MA, 02494, USA.
Syneos Health (United States) · USPalo Alto University · USElement Six (United States) · USStanford Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile the positive impact of homework completion on symptom alleviation is well-established, the pivotal role of therapists in reviewing these assignments has been under-investigated. This study examined therapists' practice of assigning and reviewing action recommendations in therapy sessions, and how it correlates with patients' depression and anxiety outcomes.

methodsWe analyzed 2,444 therapy sessions from community-based behavioral health programs. Machine learning models and natural language processing techniques were deployed to discern action recommendations and their subsequent reviews. The extent of the review was quantified by measuring the proportion of session dialogues reviewing action recommendations, a metric we refer to as "review percentage". Using Generalized Estimating Equations modeling, we evaluated the correlation between this metric and changes in clients' depression and anxiety scores.

resultsOur models achieved 76% precision in capturing action recommendations and 71.1% in reviewing them. Using these models, we found that therapists typically provided clients with one to eight action recommendations per session to engage in outside therapy. However, only half of the sessions included a review of previously assigned action recommendations. We identified a significant interaction between the initial depression score and the review percentage (p = 0.045). When adjusting for this relationship, the review percentage was positively and significantly associated with a reduction in depression score (p = 0.032). This suggests that more frequent review of action recommendations in therapy relates to greater improvement in depression symptoms. Further analyses highlighted this association for mild depression (p = 0.024), but not for anxiety or moderate to severe depression.

conclusionsAn observed positive association exists between therapists' review of previous sessions' action recommendations and improved treatment outcomes among clients with mild depression, highlighting the possible advantages of consistently revisiting therapeutic homework in real-world therapy settings. Results underscore the importance of developing effective strategies to help therapists maintain continuity between therapy sessions, potentially enhancing the impact of therapy.

Indexed as

DepressionDepressive DisorderAnxietyAnxiety DisordersHumansTreatment OutcomeActivationBehavioral treatmentDeep learningEmpirically-based practiceHomeworkMachine learningNatural language processing

Identifiers

PMID38365635
PMCPMC10870574
OpenAlexW4391882748

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.