Emotional competence self-help mobile phone app versus cognitive behavioural self-help app versus self-monitoring app to promote mental wellbeing in healthy young adults (ECoWeB PROMOTE): an international, multicentre, parallel, open-label, randomised controlled trial
Open accessAbstract
BACKGROUND: Based on evidence that mental health is more than an absence of mental disorders, there have been calls to find ways to promote flourishing at a population level, especially in young people, which requires effective and scalable interventions. Despite their potential for scalability, few mental wellbeing apps have been rigorously tested in high-powered trials, derived from models of healthy emotional functioning, or tailored to individual profiles. We aimed to test a personalised emotional competence self-help app versus a cognitive behavioural therapy (CBT) self-help app versus a self-monitoring app to promote mental wellbeing in healthy young people. METHODS: This international, multicentre, parallel, open-label, randomised controlled trial within a cohort multiple randomised trial (including a parallel trial of depression prevention) was done at four university trial sites in four countries (the UK, Germany, Spain, and Belgium). Participants were recruited from schools and universities and via social media from the four respective countries. Eligible participants were aged 16-22 years with well adjusted emotional competence profiles and no current or past diagnosis of major depression. Participants were randomised (1:1:1) to usual practice plus either the emotional competence app, the CBT app or the self-monitoring app, by an independent computerised system, minimised by country, age, and self-reported gender, and followed up for 12 months post-randomisation. The primary outcome was mental wellbeing (indexed by the Warwick-Edinburgh Mental Well Being Scale [WEMWBS]) at 3-month follow-up, analysed in participants who completed the 3-month follow-up assessment. Outcome assessors were masked to group allocation. The study is registered with ClinicalTrials.gov, NCT04148508, and is closed. FINDINGS: Between Oct 15, 2020, and Aug 3, 2021, 2532 participants were enrolled, and 847 were randomly assigned to the emotional competence app, 841 to the CBT app, and 844 to the self-monitoring app. Mean age was 19·2 years (SD 1·8). Of 2532 participants self-reporting gender, 1896 (74·9%) were female, 613 (24·2%) were male, 16 (0·6%) were neither, and seven (0·3%) were both. 425 participants in the emotional competence app group, 443 in the CT app group, and 447 in the self-monitoring app group completed the follow-up assessment at 3 months. There was no difference in mental wellbeing between the groups at 3 months (global p=0·47). The emotional competence app did not differ from the CBT app (mean difference in WEMWBS -0·21 [95% CI -1·08 to 0·66]) or the self-monitoring app (0·32 [-0·54 to 1·19]) and the CBT app did not differ from the self-monitoring app (0·53 [-0·33 to 1·39]). 14 of 1315 participants were admitted to or treated in hospital (or both) for mental health-related reasons, which were considered unrelated to the interventions (five participants in the emotional competence app group, eight in the CBT app group, and one in the self-monitoring app group). No deaths occurred. INTERPRETATION: The emotional competence app and the CBT app provided limited benefit in promoting mental wellbeing in healthy young people. This finding might reflect the low intensity of these interventions and the difficulty improving mental wellbeing via universal digital interventions implemented in low-risk populations. FUNDING: European Commission.
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Cites
The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910 · see citing works
Durlak, J. A., Weissberg, R. P., Dymnicki, A. B., Taylor, R. D., & Schellinger, K. B. (2011) · Child Development · doi:10.1111/j.1467-8624.2010.01564.x · Cited by 8,746 · cited 1× · see citing works
“6 An alternative method of reaching many young people is through digital means, such as the internet or mobile phone apps.”
Self-citationKeyes, C. L. M. (2007) · American Psychologist · doi:10.1037/0003-066x.62.2.95 · Cited by 2,268 · see citing works
Emotion Regulation and Psychopathology
Sheppes, G., Suri, G., & Gross, J. J. (2015) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032814-112739 · Cited by 1,214 · see citing works
Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments
Bakker, D., Kazantzis, N., Rickwood, D., & Rickard, N. (2016) · JMIR Mental Health · doi:10.2196/mental.4984 · Cited by 886 · see citing works
Torous, J., Lipschitz, J., Ng, M., & Firth, J. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.11.167 · Cited by 546 · see citing works
Kauer, S. D., Reid, S. C., Crooke, A. H. D., Khor, A., Hearps, S. J. C., Jorm, A. F., Sanci, L., & Patton, G. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1858 · Cited by 404 · see citing works
Torous, J., & Roberts, L. W. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.0262 · Cited by 362 · see citing works
Stewart-Brown, S., Platt, S., Tennant, A., Maheswaran, H., Parkinson, J., Weich, S., Tennant, R., Taggart, F., & Clarke, A. (2011) · Journal of Epidemiology and Community Health · doi:10.1136/jech.2011.143586.86 · Cited by 291 · see citing works
Maheswaran, H., Weich, S., Powell, J., & Stewart-Brown, S. (2012) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-10-156 · Cited by 265 · see citing works
Topper, M., Emmelkamp, P. M. G., Watkins, E., & Ehring, T. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.12.015 · Cited by 254 · see citing works
Self-citationWasil, A. R., Venturo-Conerly, K. E., Shingleton, R. M., & Weisz, J. R. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103498 · Cited by 160 · see citing works
Powell, J., Hamborg, T., Stallard, N., Burls, A., McSorley, J., Bennett, K., Griffiths, K. M., & Christensen, H. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2240 · Cited by 156 · see citing works
Hornstein, S., Zantvoort, K., Lueken, U., Funk, B., & Hilbert, K. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1170002 · Cited by 134 · see citing works
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- Authors
- Watkins, E. R., Warren, F. C., Newbold, A., Hulme, C., Cranston, T., Aas, B., Bear, H., Botella, C., Burkhardt, F., Ehring, T., Fazel, M., Fontaine, J. R. J., Frost, M., Garcia-Palacios, A., Greimel, E., Hößle, C., Hovasapian, A., Huyghe, V. E. I., Karpouzis, K., Löchner, J., Molinari, G., Pekrun, R., Platt, B., Rosenkranz, T., Scherer, K. R., Schlegel, K., Schuller, B. W., Schulte-Korne, G., Suso-Ribera, C., Voigt, V., Voß, M., & Taylor, R. S.
- Affiliations
- University of Exeter (GB)
- LMU Klinikum (DE)
- University of Oxford (GB)
- Universitat Jaume I (ES)
- Ludwig-Maximilians-Universität München (DE)
- Ghent University (BE)
- Panteion University (GR)
- University of Tübingen (DE)
- University of Essex (GB)
- University of Geneva (CH)
- University of Bern (CH)
- University of Glasgow (GB)
- Corresponding author
- Watkins, Edward R
- ORCID
- Watkins, Edward R
- Warren, Fiona C
- Newbold, Alexandra
- Hulme, Claire
- Aas, Benjamin
- Bear, Holly
- Botella, Cristina
- Burkhardt, Felix
- Ehring, Thomas
- Fazel, Mina
- Fontaine, Johnny R J
- Frost, Mads
- Greimel, Ellen
- Hovasapian, Arpine
- Huyghe, Veerle E I
- Karpouzis, Kostas
- Löchner, Johanna
- Molinari, Guadalupe
- Pekrun, Reinhard
- Platt, Belinda
- Rosenkranz, Tabea
- Scherer, Klaus R
- Schlegel, Katja
- Taylor, Rod S
- Venue
- The Lancet Digital Health
- Publisher
- Elsevier BV
- Published
- 2024-12
- Volume
- 6
- Issue
- 12
- Pages
- e904-e913
- ISSN
- 2589-7500 (ISSN-L)
- OpenAlex
- W4403119236
- Cited by
- 12
- References
- 14
- Citations by year
- 2026: 6 · 2025: 6
- FWCI
- 3.86
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- The Lancet Digital Health (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Oxford University Research Archive (ORA) (University of Oxford) (publishedVersion)
- Repositori UJI (Universitat Jaume I) (publishedVersion, cc-by)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion, cc-by-sa)
- Open Access at Essex (University of Essex) (acceptedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, cc-by)
- OPUS (Augsburg University) (submittedVersion, cc-by)
- mediaTUM (Technical University of Munich) (submittedVersion)
- Open Access CRIS of the University of Bern
- Funders
- European Commission
- Horizon 2020 (754657)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
- Keywords
- psychological well-being, emotional competence, cognitive behavioral therapy, self-help apps, mobile health, self-monitoring, young adults, eudaimonia, personalized interventions, depression prevention, Warwick-Edinburgh Mental Well-being Scale, university students, school students, digital mental health interventions
- MeSH terms
- Adolescent, Adult, Belgium, Emotions, Female, Germany, United Kingdom, Humans, Male, Mental Health, Spain, Cognitive Behavioral Therapy, Young Adult, Mobile Applications
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