Evidence map›Paper›PMID 37537991›Full record

ArticleBJPsych open2023

Compassion apps for better mental health: qualitative review.

Eva de Krijger, Ernst T Bohlmeijer, Elbert Geuze, Saskia M Kelders

Open access · goldAbstract read
In one paragraph

Article in BJPsych open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 3 institutions in 1 country.

Eva de KrijgerBrain Research and Innovation Centre, Ministry of Defence, The Netherlands; and Faculty of Behavioural, Management and Social Sciences, Department of Psychology, Health and Technology, University of Twente, The Netherlands.ORCID https://orcid.org/0000-0002-4959-5338
Ernst T BohlmeijerFaculty of Behavioural, Management and Social Sciences, Department of Psychology, Health and Technology, University of Twente, The Netherlands.
Elbert GeuzeBrain Research and Innovation Centre, Ministry of Defence, The Netherlands; and Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center, The Netherlands.
Saskia M KeldersFaculty of Behavioural, Management and Social Sciences, Department of Psychology, Health and Technology, University of Twente, The Netherlands.
University of Twente · NLMinistry of Defence · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is increasing empirical evidence for the positive mental health effects of compassion-based interventions. Although numerous smartphone apps offering compassion-based interventions ('compassion apps') are now available for the general public, the quality of these apps has not yet been reviewed. A qualitative review of existing compassion apps serves as a crucial first step toward testing the efficacy of these apps, by identifying good-quality compassion apps that might be worth the investment of a scientific trial.

aimsThe current study focuses on reviewing the quality of existing compassion apps.

methodExisting compassion apps were identified through searches in the Google Play Store and App Store. The 24 included apps were reviewed on their quality by using the Mobile App Rating Scale, and on their consistency with current evidence by comparing them to existing and studied compassion-based interventions.

resultsOf the 24 included apps, eight were identified that met the criteria of being consistent with existing and studied compassion-based interventions, and acceptable to good overall quality. The other 16 apps failed to meet one or both of these criteria.

conclusionsGood-quality compassion apps are available, but many of the available apps fail to meet certain quality criteria. In particular, many apps failed to offer sufficient relevant and correct information, or failed to offer this information in an entertaining and interesting way. It is recommended that future compassion apps are based on a clear definition of compassion, offer evidence- and theory-based exercises and implement tools for increasing engagement.

Indexed as

Compassiondigital healtheHealthmental healthmobile applications

Identifiers

PMID37537991
PMCPMC10486246
OpenAlexW4385563563

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.