Evidence map›Paper›PMID 33185566›Full record

ArticleJMIR formative research2020

Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis.

Dionne Bowie-DaBreo, Sandra I Sünram-Lea, Corina Sas, Heather Iles-Smith

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 29 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Dionne Bowie-DaBreoResearch and Innovation Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.ORCID https://orcid.org/0000-0002-0050-0115
Sandra I Sünram-LeaDepartment of Psychology, Lancaster University, Lancaster, United Kingdom.ORCID https://orcid.org/0000-0001-9889-9867
Corina SasSchool of Computing and Communications, Lancaster University, Lancaster, United Kingdom.ORCID https://orcid.org/0000-0001-9297-9612
Heather Iles-SmithResearch and Innovation, Northern Care Alliance NHS Group, Salford, United Kingdom.ORCID https://orcid.org/0000-0002-0520-2694
Lancaster University · GBLeeds Teaching Hospitals NHS Trust · GBNorthern Health and Social Care Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of apps for the treatment of depression shows great promise. However, there is uncertainty regarding the alignment of publicly available apps for depression with clinical guidance, their treatment fidelity and evidence base, and their overall safety.

objectiveBuilt on previous analyses and reviews, this study aims to explore the treatment and safety issues of publicly available apps for depression.

methodsWe conducted a content analysis of apps for depression in the 2 main UK app stores (Google Play and Apple App Store). App store listings were analyzed for intervention content, treatment fidelity, and fit with the National Institute for Health and Care Excellence (NICE) guidelines for the treatment of depression in adults.

resultsA total of 353 apps for depression were included in the review. App descriptions reported the use of 20 treatment approaches and 37 treatment strategies. Many apps used transdiagnostic (155/353, 43.9%) and multitheoretical interventions to treat multiple disorders including depression. Although many interventions appeared to be evidence-informed, there were issues with treatment fidelity, research evidence, and fit with clinical guidelines. None of the apps fully aligned with the NICE guidelines for depression.

conclusionsApp developers have adopted many evidence-informed treatments in their interventions; however, more work is needed to improve clinical validity, treatment fidelity, and the safety of apps. We urge developers to consult relevant guidelines and standards, and to engage in reflective questioning on treatment and safety to address these issues and to improve treatment content and intervention design.

Indexed as

clinical guidancecontent analysisdepressionethicsmHealthmobile appsmobile mental healthNHSNICE guidelinessafety

Identifiers

PMID33185566
PMCPMC7695532
OpenAlexW3033765777

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.