Evidence map›Paper›PMID 34995953›Full record

ArticleBehaviour research and therapy2022

Memory and learning for sleep and circadian treatment in serious mental illness treated in a community mental health setting.

Nicole B Gumport, Allison G Harvey

Abstract read
In one paragraph

Article in Behaviour research and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Nicole B GumportUniversity of California, Berkeley, USA.
Allison G HarveyUniversity of California, Berkeley, USA. Electronic address: aharvey@berkeley.edu.

Funding

A BIOBEHAVIORAL RESEARCH TRAINING PROGRAMT32MH019938 · NIMH · STANFORD UNIVERSITY · PI Corey J Keller, RACHEL MANBER · 1994 to 2026
$9.4M
A transdiagnostic sleep and circadian treatment to improve community SMI outcomesR01MH105513 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI HARVEY, ALLISON G · 2015 to 2018
$2.8M
NIMH NIH HHS R01 MH105513NIMH NIH HHS T32 MH019938
6 · The paper itself

Abstract

objectiveExisting research has demonstrated that patient memory and learning of treatment contents are poor and poorer learning is associated with worse treatment outcome. Most prior studies have included individuals from only a single diagnostic group, offer limited data on possible contributors to poor memory and learning, and have included small samples recruited in university settings. This study sought to describe patient recall of treatment contents, describe patient learning of treatment contents, examine contributors to patient recall and learning of treatment contents, and examine the association of patient recall and learning of treatment contents with treatment outcome.

methodsAdults with serious mental illness and sleep and circadian dysfunction (N = 99) received the Transdiagnostic Intervention for Sleep and Circadian Dysfunction in a community mental health setting. Measures of recall, learning, age, years of education, symptom severity, and treatment outcome were collected at post-treatment and 6-month follow-up.

resultsRecall and learning were poor, fewer years of education was associated with worse recall and learning, and recall and learning were not associated with treatment outcome.

conclusionsThe findings offer evidence that poor patient memory for, and learning of, treatment contents extends to community settings and are transdiagnostic concerns.

Indexed as

Mental DisordersMental HealthAdultHumansLearningMental RecallSleepTreatment OutcomeCircadianLearningMemorySerious mental illnessSleep

Identifiers

PMID34995953
PMCPMC10883147

What OpenQuestion holds

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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.