Evidence map›Paper›PMID 33162853›Full record

ArticleFocus (American Psychiatric Publishing)2020

Computer-Assisted CBT and Mobile Apps for Depression: Assessment and Integration Into Clinical Care.

Jesse H Wright, Matthew Mishkind

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Focus (American Psychiatric Publishing), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. NNDC Special Issue: Challenges of Mood Disorders Care.Focus (American Psychiatric Publishing) · 2020
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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

2 authors.

Jesse H WrightDepartment of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky (Wright); Johnson Depression Center, Department of Family Medicine, University of Colorado School of Medicine, Aurora (Mishkind).
Matthew MishkindDepartment of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky (Wright); Johnson Depression Center, Department of Family Medicine, University of Colorado School of Medicine, Aurora (Mishkind).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A surge in the development of computer-assisted cognitive-behavioral therapy (CCBT) and mobile apps for depression has provided many tools with potential for enhancing treatment delivery. This article assesses progress in evaluation and implementation of CCBT and mobile apps for depression, with a focus on providing practical information on clinical applications. Advantage and disadvantages of these technologies are identified, outcome research is reviewed, and recommendations are made for clinical use. With increasing use of computer technology in everyday life, it is likely that clinicians and patients will pursue opportunities to employ computer tools in treatment for depression.

Indexed as

Cognitive-behavioral therapy Mobile applicationsComputer-assisted cognitive-behavioral therapyDepression

Identifiers

PMID33162853
PMCPMC7587884

What OpenQuestion holds

Textmetadata
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.