Promotion of mental health in young adults via mobile phone app: study protocol of the ECoWeB (emotional competence for well-being in Young adults) cohort multiple randomised trials

A Newbold, F C Warren, R S Taylor, C Hulme, S Burnett, B Aas, C Botella, F Burkhardt, T Ehring, J R J Fontaine, M Frost, A Garcia-Palacios, E Greimel, C Hoessle, A Hovasapian, Vei Huyghe, J Lochner, G Molinari, R Pekrun, B Platt, T Rosenkranz, K R Scherer, K Schlegel, G Schulte-Korne, C Suso, V Voigt, E R Watkins, A Newbold, F C Warren, R S Taylor, C Hulme, S Burnett, B Aas, C Botella, F Burkhardt, T Ehring, J R J Fontaine, M Frost, A Garcia-Palacios, E Greimel, C Hoessle, A Hovasapian, Vei Huyghe, J Lochner, G Molinari, R Pekrun, B Platt, T Rosenkranz, K R Scherer, K Schlegel, G Schulte-Korne, C Suso, V Voigt, E R Watkins

Abstract

Background: Promoting well-being and preventing poor mental health in young people is a major global priority. Building emotional competence (EC) skills via a mobile app may be an effective, scalable and acceptable way to do this. However, few large-scale controlled trials have examined the efficacy of mobile apps in promoting mental health in young people; none have tailored the app to individual profiles.

Method/design: The Emotional Competence for Well-Being in Young Adults cohort multiple randomised controlled trial (cmRCT) involves a longitudinal prospective cohort to examine well-being, mental health and EC in 16-22 year olds across 12 months. Within the cohort, eligible participants are entered to either the PREVENT trial (if selected EC scores at baseline within worst-performing quartile) or to the PROMOTE trial (if selected EC scores not within worst-performing quartile). In both trials, participants are randomised (i) to continue with usual practice, repeated assessments and a self-monitoring app; (ii) to additionally receive generic cognitive-behavioural therapy self-help in app; (iii) to additionally receive personalised EC self-help in app. In total, 2142 participants aged 16 to 22 years, with no current or past history of major depression, bipolar disorder or psychosis will be recruited across UK, Germany, Spain, and Belgium. Assessments take place at baseline (pre-randomisation), 1, 3 and 12 months post-randomisation. Primary endpoint and outcome for PREVENT is level of depression symptoms on the Patient Health Questionnaire-9 at 3 months; primary endpoint and outcome for PROMOTE is emotional well-being assessed on the Warwick-Edinburgh Mental Wellbeing Scale at 3 months. Depressive symptoms, anxiety, well-being, health-related quality of life, functioning and cost-effectiveness are secondary outcomes. Compliance, adverse events and potentially mediating variables will be carefully monitored.

Conclusions: The trial aims to provide a better understanding of the causal role of learning EC skills using interventions delivered via mobile phone apps with respect to promoting well-being and preventing poor mental health in young people. This knowledge will be used to develop and disseminate innovative evidence-based, feasible, and effective Mobile-health public health strategies for preventing poor mental health and promoting well-being.

Trial registration: ClinicalTrials.gov ( www.clinicaltrials.org ). Number of identification: NCT04148508 November 2019.

Keywords: Depression; Emotional competence; Mobile-health prevention; Personalization; Randomised controlled trial; Rumination; Well-being; Young people.

Conflict of interest statement

The authors declare no competing interests, except for MF, who is a co-founder and shareholder of Monsenso.

Figures

Fig. 1
Fig. 1
ECoWeB-PROMOTE and ECoWeB-PREVENT SPIRIT schedule of enrolment, interventions, and assessments
Fig. 2
Fig. 2
CONSORT flow diagram for ECoWeB-PROMOTE
Fig. 3
Fig. 3
CONSORT flow diagram for ECoWeB-PREVENT

References

    1. Thapar A, Collishaw S, Pine DS, Thapar AK. Depression in adolescence. Lancet. 2012;379(9820):1056–1067.
    1. Kessler RC, Berglund P, Demler O, Jin R, Walters EE. Lifetime prevalence and age-of-onset distributions' of DSM-IV disorders in the national comorbidity survey replication. Arch Gen Psychiatry. 2005;62(6):593–602.
    1. Mehta N, Croudace T, Davies SC. Public mental health: evidenced-based priorities. Lancet. 2015;385(9976):1472–1475.
    1. Patton GC, Sawyer SM, Ross DA, Viner RM, Santelli JS. From advocacy to action in global adolescent health. J Adolesc Health. 2016;59(4):375–377.
    1. Royal College of Psychiatrists . No health without public mental health. 2010.
    1. Durlak JA, Weissberg RP, Dymnicki AB, Taylor RD, Schellinger KB. The impact of enhancing Students' social and emotional learning: a meta-analysis of school-based universal interventions. Child Dev. 2011;82(1):405–432.
    1. Clarke AM, Kuosmanen T, Barry MM. A systematic review of online youth mental health promotion and prevention interventions. J Youth Adolesc. 2015;44(1):90–113.
    1. Hetrick SE, Cox GR, Witt KG, Bir JJ, Merry SN. Cognitive behavioural therapy (CBT), third-wave CBT and interpersonal therapy (IPT) based interventions for preventing depression in children and adolescents. Cochrane Database Syst Rev. 2016;8:332.
    1. Merry SN, Hetrick SE, Cox GR, Brudevold-Iversen T, Bir JJ, McDowell H. Psychological and educational interventions for preventing depression in children and adolescents. Cochrane Database Syst Rev. 2011;12:277.
    1. Stockings EA, Degenhardt L, Dobbins T, Lee YY, Erskine HE, Whiteford HA, et al. Preventing depression and anxiety in young people: a review of the joint efficacy of universal, selective and indicated prevention. Psychol Med. 2016;46(1):11–26.
    1. Mehu M, Scherer KR. The appraisal bias model of cognitive vulnerability to depression. Emot Rev. 2015;7(3):272–279.
    1. Scherer KR. When and why are emotions disturbed? Suggestions based on theory and data from emotion research. Emot Rev. 2015;7(3):238–249.
    1. Scherer KR. The dynamic architecture of emotion: evidence for the component process model. Cognit Emot. 2009;23(7):1307–1351.
    1. Castro VL, Cheng YH, Halberstadt AG, Gruhn D. EUReKA! A conceptual model of emotion understanding. Emot Rev. 2016;8(3):258–268.
    1. Castro VL, Cooke AN, Halberstadt AG, Garrett-Peters P. Bidirectional linkages between emotion recognition and problem behaviors in elementary school children. J Nonverbal Behav. 2018;42(2):155–178.
    1. Sanchez-Alvarez N, Extremera N, Fernandez-Berrocal P. The relation between emotional intelligence and subjective well-being: a meta-analytic investigation. J Posit Psychol. 2016;11(3):276–285.
    1. Schutte NS, Malouff JM, Thorsteinsson EB, Bhullar N, Rooke SE. A meta-analytic investigation of the relationship between emotional intelligence and health. Personal Individ Differ. 2007;42(6):921–933.
    1. Sheppes G, Suri G, Gross JJ. Emotion regulation and psychopathology. In: Cannon TD, Widiger T, editors. Annu Rev Clin Psychol. 2015;11:379–405.
    1. Zeidner M, Matthews G, Roberts RD. The emotional intelligence, health, and well-being nexus: what have we learned and what have we missed? Appl Psychology-Health Well Being. 2012;4(1):1–30.
    1. European Science Foundation . Personalised medicine for the European citizen: towards more precise medicine for the diagnosis, treatment and prevention of disease. 2012.
    1. Schueller SM, Munoz RF, Mohr DC. Realizing the potential of behavioral intervention technologies. Curr Dir Psychol Sci. 2013;22(6):478–483.
    1. Kazdin AE. Technology-based interventions and reducing the burdens of mental illness: perspectives and comments on the special series. Cogn Behav Pract. 2015;22(3):359–366.
    1. Torous J, Roberts LW. Needed innovation in digital health and smartphone applications for mental health transparency and trust. JAMA Psychiat. 2017;74(5):437–438.
    1. Bakker D, Kazantzis N, Rickwood D, Rickard N. Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments. JMIR Ment Health 2016;3(1):e7.
    1. Donker T, Petrie K, Proudfoot J, Clarke J, Birch MR, Christensen H. Smartphones for smarter delivery of mental health programs: a systematic review. J Med Internet Res. 2013;15(11):13.
    1. Sucala M, Cuijpers P, Muench F, Cardos R, Soflau R, Dobrean A, et al. Anxiety: there is an app for that. A systematic review of anxiety apps. Depress Anxiety. 2017;34(6):518–525.
    1. Torous J, Andersson G, Bertagnoli A, Christensen H, Cuijpers P, Firth J, et al. Towards a consensus around standards for smartphone apps and digital mental health. World Psychiatry. 2019;18(1):97–98.
    1. Firth J, Torous J, Carney R, et al. Digital Technologies in the Treatment of Anxiety: Recent Innovations and Future Directions. Curr Psychiatry Rep. 2018;20(6):44.
    1. Firth J, Torous J, Nicholas J, Carney R, Pratap A, Rosenbaum S, et al. The efficacy of smartphone-based mental health interventions for depressive symptoms: a meta-analysis of randomized controlled trials. World Psychiatry. 2017;16(3):287–298.
    1. Relton C, Torgerson D, O'Cathain A, Nicholl J. Rethinking pragmatic randomised controlled trials: introducing the "cohort multiple randomised controlled trial" design. Br Med J. 2010;340:7.
    1. Nolen-Hoeksema S, Watkins ER. A heuristic for developing Transdiagnostic models of psychopathology: explaining multifinality and divergent trajectories. Perspect Psychol Sci. 2011;6(6):589–609.
    1. Nolen-Hoeksema S, Wisco BE, Lyubomirsky S. Rethinking rumination. Perspect Psychol Sci. 2008;3(5):400–424.
    1. Watkins Constructive and unconstructive repetitive thought. Psychol Bull. 2008;134(2):163–206.
    1. Alloy LB, Abramson LY, Whitehouse WG, Hogan ME, Tashman NA, Steinberg DL, et al. Depressogenic cognitive styles: predictive validity, information processing and personality characteristics, and developmental origins. Behav Res Ther. 1999;37(6):503–531.
    1. Pekrun R. The control-value theory of achievement emotions: assumptions, corollaries, and implications for educational research and practice. Educ Psychol Rev. 2006;18:315–341.
    1. Hamm JM, Perry RP, Chipperfield JG, Murayama K, Weiner B. Attribution-based motivation treatment efficacy in an online learning environment for students who differ in cognitive elaboration. Motiv Emot. 2017;41(5):600–616.
    1. Hamm JM, Perry RP, Clifton RA, Chipperfield JG, Boese GD. Attributional retraining: a motivation treatment with differential psychosocial and performance benefits for failure prone individuals in competitive acheivement settings. Basic Appl Soc Psychol. 2014;36:221–237.
    1. Perry RP, Hechter FJ, Menec VH, Weinberg LE. Enhancing achievement-motivation and performace in college students – an attributional retraining perspective. Res High Educ. 1993;34(6):687–723.
    1. Paunesku D, Walton GM, Romero C, Smith EN, Yeager DS, Dweck CS. Mind-set interventions are a scalable treatment for academic underachievement. Psychol Sci. 2015;26(6):784–793.
    1. Yeager DS, Hanselman P, Walton GM, Murray JS, Crosnoe R, Muller C, et al. A national experiment reveals where a growth mindset improves achievement. Nature. 2019;573(7774):364−+.
    1. Miu AS, Yeager DS. Preventing symptoms of depression by teaching adolescents that people can change: effects of a brief incremental theory of personality intervention at 9-month follow-up. Clin Psychol Sci. 2015;3(5):726–743.
    1. Schleider J, Weisz J. A single-session growth mindset intervention for adolescent anxiety and depression: 9-month outcomes of a randomized trial. J Child Psychol Psychiatry. 2018;59(2):160–170.
    1. Schleider JL, Weisz JR. Reducing risk for anxiety and depression in adolescents: effects of a single-session intervention teaching that personality can change. Behav Res Ther. 2016;87:170–181.
    1. Lazowski RA, Hulleman CS. Motivation interventions in education: a meta-analytic review. Rev Educ Res. 2016;86(2):602–640.
    1. Hulleman CS, Harackiewicz JM. Promoting interest and performance in high school science classes. Science. 2009;326(5958):1410–1412.
    1. Platt B, Kadosh KC, Lau JYF. The role of peer rejection in adolescent depression. Depress Anxiety. 2013;30(9):809–821.
    1. Hallion LS, Ruscio AM. A meta-analysis of the effect of cognitive bias modification on anxiety and depression. Psychol Bull. 2011;137(6):940–958.
    1. Jones EB, Sharpe L. Cognitive bias modification: a review of meta-analyses. J Affect Disord. 2017;223:175–183.
    1. Mathews A, Mackintosh B. Induced emotional interpretation bias and anxiety. J Abnorm Psychol. 2000;109(4):602–615.
    1. Krebs G, Pile V, Grant S, Esposti MD, Montgomery P, Lau JYF. Research review: cognitive bias modification of interpretations in youth and its effect on anxiety: a meta-analysis. J Child Psychol Psychiatry. 2018;59(8):831–844.
    1. Cristea I, Kok RN, Cuijpers P. The efficacy of cognitive bias modification interventions for mental health problems: a meta-analysis. Eur Psychiatry. 2015;30:1.
    1. Cristea IA, Mogoase C, David D, Cuijpers P. Practitioner review: cognitive bias modification for mental health problems in children and adolescents: ameta-analysis. J Child Psychol Psychiatry. 2015;56(7):723–734.
    1. Watkins ER. Rumination-focused cognitive-behavioral therapy for depression. New York: Guilford Press; 2016.
    1. Watkins ER, Mullan E, Wingrove J, Rimes K, Steiner H, Bathurst N, et al. Rumination-focused cognitive-behavioural therapy for residual depression: phase II randomised controlled trial. Br J Psychiatry. 2011;199(4):317–322.
    1. Watkins ER, Taylor RS, Byng R, Baeyens C, Read R, Pearson K, et al. Guided self-help concreteness training as an intervention for major depression in primary care: a phase II randomized controlled trial. Psychol Med. 2012;42(7):1359–1371.
    1. Hvenegaard M, Moeller SB, Poulsen S, Gondan M, Grafton B, Austin SF, et al. Group rumination-focused cognitive-behavioural therapy (CBT) v. group CBT for depression: phase II trial. Psychol Med. 2020;50(1):11–19.
    1. Topper M, Emmelkamp PMG, Watkins E, Ehring T. Prevention of anxiety disorders and depression by targeting excessive worry and rumination in adolescents and young adults: a randomized controlled trial. Behav Res Ther. 2017;90:123–136.
    1. Cook L, Mostazir M, Watkins E. Reducing stress and preventing depression (RESPOND): randomized controlled trial of web-based rumination-focused cognitive behavioral therapy for high-Ruminating University students. J Med Internet Res. 2019;21(5):18.
    1. Schlegel K, Fontaine JRJ, Scherer KR. The Nomological network of emotion recognition ability evidence from the Geneva emotion recognition test. Eur J Psychol Assess. 2019;35(3):352–363.
    1. Schlegel K, Grandjean D, Scherer KR. Introducing the Geneva emotion recognition test: an example of Rasch-based test development. Psychol Assess. 2014;26(2):666–672.
    1. Schulz KF, Altman DG, Moher D, Grp C. CONSORT 2010 statement: updated guidelines for reporting parallel group randomized trials. Ann Intern Med. 2010;152(11):726–W293.
    1. Grant S, Mayo-Wilson E, Montgomery P, Macdonald G, Michie S, Hopewell S, et al. CONSORT-SPI 2018 explanation and elaboration: guidance for reporting social and psychological intervention trials. Trials. 2018;19:406.
    1. Eysenbach G. CONSORT-EHEALTH Group CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions. J Med Internet Res. 2011;13(4):e126.
    1. Bot M, Middeldorp CM, de Geus EJC, Lau HM, Sinke M, van Nieuwenhuizen B, et al. Validity of LIDAS (LIfetime depression assessment self-report): a self-report online assessment of lifetime major depressive disorder. Psychol Med. 2017;47(2):279–289.
    1. Hankin BL, Young JF, Gallop R, Garber J. Cognitive and interpersonal vulnerabilities to adolescent depression: classification of risk profiles for a personalized prevention approach. J Abnorm Child Psychol. 2018;46(7):1521–1533.
    1. Mohr DC, Schueller SM, Riley WT, Brown CH, Cuijpers P, Duan N, et al. Trials of intervention principles: evaluation methods for evolving behavioral intervention technologies. J Med Internet Res. 2015;17(7).
    1. Stewart-Brown S, Platt S, Tennant A, et al. The Warwick-Edinburgh Mental Well-being Scale (WEMWBS): a valid and reliable tool for measuring mental well-being in diverse populations and projects. J Epidemiol Community Health 2011;65:A38–A39.
    1. Tennant R, Hiller L, Fishwick R, et al. The Warwick-Edinburgh Mental Well-being Scale (WEMWBS): development and UK validation. Health Qual Life Outcomes. 2007;5:63.
    1. Kroenke K, Spitzer RL, Williams JBW. The PHQ-9 - validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–613.
    1. Spitzer RL, Kroenke K, Williams JBW, Lowe B. A brief measure for assessing generalized anxiety disorder - the GAD-7. Arch Intern Med. 2006;166(10):1092–1097.
    1. Mundt JC, Marks IM, Shear MK, Greist JH. The work and social adjustment scale: a simple measure of impairment in functioning. Br J Psychiatry. 2002;180:461–464.
    1. Brooks R. EuroQol: the current state of play. Health Policy. 1996;37(1):53–72.
    1. Byford S, Barrett B, Roberts C, Wilkinson P, Dubicka B, Kelvin RG, et al. Cost-effectiveness of selective serotonin reuptake inhibitors and routine specialist care with and without cognitive-behavioural therapy in adolescents with major depression. Br J Psychiatry. 2007;191:521–527.
    1. Kuyken W, Hayes R, Barrett B, Byng R, Dalgleish T, Kessler D, et al. The effectiveness and cost-effectiveness of mindfulness-based cognitive therapy compared with maintenance antidepressant treatment in the prevention of depressive relapse/recurrence: results of a randomised controlled trial (the PREVENT study) Health Technol Assess. 2015;19(73):151.
    1. Carver CS. Generalization, adverse events, and development of depressive symptoms. J Pers. 1998;66(4):607–619.
    1. Sekwena EK, Fontaine JRJ. Redefining and assessing emotional understanding based on the componential emotion approach. South Afr J Psychol. 2018;48(2):243–254.
    1. Schlegel K, Scherer KR. Introducing a short version of the Geneva emotion recognition test (GERT-S): psychometric properties and construct validation. Behav Res Methods. 2016;48(4):1383–1392.
    1. Scherer KR. Evidence for the Existence of Emotion Dispositions and the Effects of Appraisal Bias. PsyArXiv; 2019. Web.
    1. Hoyosa R, Scherer KR. Measuring sense of control, power and self-efficacy. Unpublished report. 2020.
    1. Perry RP, Hladkyj S, Pekrun RH, Pelletier ST. Academic control and action control in the achievement of college students: a longitudinal field study. J Educ Psychol. 2001;93(4):776–789.
    1. Dweck CS. Mindset: the new psychology of success. New York: Random House; 2006.
    1. Wigfield A. Expectancy-value theory of achievement motivation: a developmental perspective. Educ Psychol Rev. 1994;6(1):49–78.
    1. Pekrun R, Goetz T, Frenzel AC, Barchfeld P, Perry RP. Measuring emotions in students' learning and performance: the achievement emotions questionnaire (AEQ) Contemp Educ Psychol. 2011;36(1):36–48.
    1. Berenson KR, Gyurak A, Ayduk O, Downey G, Garner MJ, Mogg K, et al. Rejection sensitivity and disruption of attention by social threat cues. J Res Pers. 2009;43(6):1064–1072.
    1. Treynor W, Gonzalez R, Nolen-Hoeksema S. Rumination reconsidered: a psychometric analysis. Cogn Ther Res. 2003;27(3):247–259.
    1. Hopko DR, Stanley MA, Reas DL, Wetherell JL, Beck JG, Novy DM, et al. Assessing worry in older adults: confirmatory factor analysis of the Penn State worry questionnaire and psychometric properties of an abbreviated model. Psychol Assess. 2003;15(2):173–183.
    1. Putz REOH, K.; Taggart, F.; Steward-Brown, S. Using WEMWBS to measure the impact of your work on mental wellbeing: a practice-based user guide. 2012.
    1. Maheswaran H, Weich S, Powell J, et al. Evaluating the responsiveness of the Warwick Edinburgh Mental Well-Being Scale (WEMWBS): Group and individual level analysis. Health Qual Life Outcomes. 2012;10:156.
    1. Powell J, Hamborg T, Stallard N, Burls A, McSorley J, Bennett K, et al. Effectiveness of a web-based cognitive-behavioral tool to improve mental well-being in the general population: randomized controlled trial. J Med Internet Res. 2013;15(1):2–18.
    1. Lowe B, Unutzer J, Callahan CM, Perkins AJ, Kroenke K. Monitoring depression treatment outcomes with the patient health questionnaire-9. Med Care. 2004;42(12):1194–1201.
    1. White IR, Carpenter J, Horton NJ. Including all individuals is not enough: lessons for intention-to-treat analysis. Clin Trials. 2012;9(4):396–407.
    1. Angrist JD, Imbens GW, Rubin DB. Identification of causal effects using instrumental variables. J Am Stat Assoc. 1996;91(434):444–455.
    1. Dunn G, Maracy M, Tomenson B. Estimating treatment effects from randomized clinical trials with noncompliance and loss to follow-up: the role of instrumental variable methods. Stat Methods Med Res. 2005;14(4):369–395.
    1. Emsley R, Dunn G, White IR. Mediation and moderation of treatment effects in randomised controlled trials of complex interventions. Stat Methods Med Res. 2010;19(3):237–270.
    1. Angelis A, Lange A, Kanavos P. Using health technology assessment to assess the value of new medicines: results of a systematic review and expert consultation across eight European countries. Eur J Health Econ. 2018;19(1):123–152.
    1. Koopmanschap MA, Rutten FFH. A practical guide for calculating indirect costs of disease. Pharmacoeconomics. 1996;10(5):460–466.
    1. Thompson SG, Barber JA. How should cost data in pragmatic randomised trials be analysed? Br Med J. 2000;320(7243):1197–1200.
    1. Barber JA, Thompson SG. Analysis of cost data in randomized trials: an application of the non-parametric bootstrap. Stat Med. 2000;19(23):3219–3236.
    1. Damschroder LJ, Aron DC, Keith RE, et al. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implementation Sci. 2009;4:50.
    1. Palinkas LA, Horwitz SM, Chamberlain P, Hurlburt MS, Landsverk J. Mixed-methods designs in mental health services research: a review. Psychiatr Serv. 2011;62(3):255–263.
    1. Medical Research Council . Developing and evaluating complex interventions: guidance. 2008.
    1. Moore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, et al. Process evaluation of complex interventions: Medical Research Council guidance. Bmj-British Medical Journal. 2015;350:h1258.
    1. De Silva MJ, Breuer E, Lee L, Asher L, Chowdhary N, Lund C, et al. Theory of change: a theory-driven approach to enhance the Medical Research Council's framework for complex interventions. Trials. 2014;15:267.
    1. World Health Organisation . Depression: a global public health concern. 2012.

Source: PubMed

3
Sottoscrivi