NCT06648538

Brief Summary

This single-center, controlled, and randomized study evaluates the effectiveness of the Phonix Care app in regulating screen use among young people aged 11 to 25. Faced with high and often concerning levels of screen consumption among youth, this research aims to provide an innovative intervention method beyond current psychotherapeutic and pharmacological approaches, which are often limited by the risk of relapse and the difficulty in delaying the short-term rewards offered by screen activities \[1, 2, 3\]. Phonix Care is designed to encourage awareness and self-regulation of screen use, thus promoting more responsible and autonomous behavior. The primary outcome measure is based on a problematic screen use score derived from the Digital Addiction Scale. Secondary objectives include examining the effects of the app on screen consumption, physical health, mental health, and motivation towards studies, measured through a series of questionnaires and objective evaluations. The study is conducted on 138 subjects, divided into two groups: an experimental group and a control group, over a participation period of six months. Statistical analyses will include descriptive analyses, multiple linear regression, and mediation models to assess the impact of Phonix Care. The expected outcomes of this research include significant contributions to the scientific literature regarding screen use among youth, as well as advances in adolescent and young adult health and psychology. In practice, the evaluation of Phonix Care could lead to the development of an effective medical device to quantify and treat problematic screen use, offering a complementary therapy to existing methods to prevent or remedy this issue.

  1. 1.Winkler A, Dörsing B, Rief W, Shen Y, Glombiewski JA. Treatment of Internet addiction: A meta-analysis. Clinical Psychology Review. 2013;33(2):317-29. https://doi.org/10.1016/j.cpr.2012.12.005
  2. 2.Xu LX, Wu LL, Geng XM, Wang ZL, Guo XY, Song KR, Liu GQ, Deng LY, Zhang JT, Potenza MN. A review of psychological interventions for Internet addiction. Psychiatry Research. 2021;302: 114016. https://doi.org/10.1016/j.psychres.2021.114016
  3. 3.Zajac K, Ginley MK, Chang R, Petry NM. Treatments for Internet gaming disorder and Internet addiction: A systematic review. Psychology of Addictive Behaviors. 2017;31(8):979-94. https://doi.org/10.1037/adb0000315

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
139

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Mar 2023

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

March 3, 2023

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 16, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

January 16, 2024

Completed
9 months until next milestone

First Submitted

Initial submission to the registry

October 16, 2024

Completed
2 days until next milestone

First Posted

Study publicly available on registry

October 18, 2024

Completed
Last Updated

October 18, 2024

Status Verified

April 1, 2024

Enrollment Period

11 months

First QC Date

October 16, 2024

Last Update Submit

October 16, 2024

Conditions

Keywords

Problematic Screen UseDigital TherapeuticsTherapeutic Education ApplicationYoung PeopleMental HealthPhysical Health

Outcome Measures

Primary Outcomes (1)

  • Digital Addiction Scale

    The primary outcome measure is a problematic screen usage score ranging from 25 to 125 points, calculated from an online assessment questionnaire translated into French from the Digital Addiction Scale (Hawi et al., 2019). Participants respond to 25 statements in which they are asked to select the option that best reflects their thoughts on their screen usage, with the following response options: 1 "never"; 2 "rarely"; 3 "sometimes"; 4 "often"; and 5 "always". The statements describe nine criteria related to problematic screen usage: preoccupation; tolerance; deprivation; conflicts; associated problems; deception; attraction to other activities; relapse; and mood modification. The higher the participants' total score, the more problematic their screen usage is reported. This information is collected at two measurement times: before and after the experiment. We control for the pre-experiment level, and our primary outcome measure refers to the measurement taken after the experiment.

    pre-intervention (T0), post-intervention (T0 + 5 months), with an estimated completion duration of 15 minutes.

Secondary Outcomes (7)

  • Regulation of Screen Time Consumption

    pre-intervention (T0), post-intervention (T0 + 5 months), with a completion duration of 0 minutes (data is collected passively).

  • International Physical Activity Questionnaire

    pre-intervention (T0), post-intervention (T0 + 5 months), with an estimated completion duration of 15 minutes.

  • Sleep Schedules diary

    pre-intervention (T0), post-intervention (T0 + 5 months), with an estimated completion duration of 15 minutes.

  • Revised Screen for Child Anxiety Related Emotional Disorders (SCARED-R)

    pre-intervention (T0), post-intervention (T0 + 5 months), with an estimated completion duration of 15 minutes.

  • University of Laval Loneliness Scale (ULS)

    pre-intervention (T0), post-intervention (T0 + 5 months), with an estimated completion duration of 15 minutes.

  • +2 more secondary outcomes

Study Arms (2)

Phonix Care experimental group

EXPERIMENTAL

The experimental arm involves modifying the functionalities of the user's digital devices (e.g., computer, smartphone, tablet, gaming console). The objective is to allow individuals access only to essential digital functionalities such as calls, alarms, work tools, camera, and unlock recreational digital functionalities only if the user engages in non-digital leisure activities (e.g., cultural, sports, family, artistic activities). The smartphone sensors validate the activities performed to earn digital time that can be spent by the user. Gradually, the user progresses a virtual animal until reaching the third stage of therapeutic education. A phoenix will evolve simultaneously with the user when they engage in non-digital recreational activities. For 5 months, all participants' cross-platform screen-usage data are monitored with fine granularity, including the frequency of app openings, schedules of opening, and names of app openings.

Device: Phonix Care

Observational group

NO INTERVENTION

For 5 months, all participants' cross-platform screen-usage data are monitored with fine granularity, including the frequency of app openings, schedules of opening, and names of app openings.

Interventions

Phonix Care consists of a 5-month digital therapeutic program that encourages the user to engage in non-digital activities through pre-defined screen rules and off-screen challenges validated by smartphone sensors.

Phonix Care experimental group

Eligibility Criteria

Age11 Years - 25 Years
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64)

You may qualify if:

  • To have an Android-compatible smartphone.
  • To be enrolled in middle school, high school, or university.
  • To be between 11 and 25 years old.

You may not qualify if:

  • To have a poor understanding of the French language.
  • To have participated in another interventional study in the same field within the last six months.
  • To undergo psychological and/or medical follow-up related to screen addiction.
  • To undergo pharmacological treatment for screen addiction disorder.
  • To exceed the VRB threshold of 4500 euros.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

PupilLab

Saint-Martin-d'Hères, 38400, France

Location

Related Publications (37)

  • Adelantado-Renau M, Moliner-Urdiales D, Cavero-Redondo I, Beltran-Valls MR, Martinez-Vizcaino V, Alvarez-Bueno C. Association Between Screen Media Use and Academic Performance Among Children and Adolescents: A Systematic Review and Meta-analysis. JAMA Pediatr. 2019 Nov 1;173(11):1058-1067. doi: 10.1001/jamapediatrics.2019.3176.

    PMID: 31545344BACKGROUND
  • Kapp C, Perlini T, Baggio S, Stephan P, Urrego AR, Rengade CE, Macias M, Hainard N, Halfon O. [Psychometric properties of the Consumer Satisfaction Questionnaire (CSQ-8) and the Helping Alliance Questionnaire (HAQ)]. Sante Publique. 2014 May-Jun;26(3):337-44. French.

    PMID: 25291882BACKGROUND
  • Johnson JG, Cohen P, Kasen S, Brook JS. Extensive television viewing and the development of attention and learning difficulties during adolescence. Arch Pediatr Adolesc Med. 2007 May;161(5):480-6. doi: 10.1001/archpedi.161.5.480.

    PMID: 17485625BACKGROUND
  • Pilatti A, Bravo AJ, Michelini Y, Aguirre P, Pautassi RM. Self-control and problematic use of social networking sites: Examining distress tolerance as a mediator among Argentinian college students. Addict Behav Rep. 2021 Oct 21;14:100389. doi: 10.1016/j.abrep.2021.100389. eCollection 2021 Dec.

    PMID: 34938847BACKGROUND
  • Wartberg L, Zieglmeier M, Kammerl R. An Empirical Exploration of Longitudinal Predictors for Problematic Internet Use and Problematic Gaming Behavior. Psychol Rep. 2021 Apr;124(2):543-554. doi: 10.1177/0033294120913488. Epub 2020 Apr 1.

    PMID: 32237970BACKGROUND
  • Chen YL, Gau SS. Sleep problems and internet addiction among children and adolescents: a longitudinal study. J Sleep Res. 2016 Aug;25(4):458-65. doi: 10.1111/jsr.12388. Epub 2016 Feb 8.

    PMID: 26854132BACKGROUND
  • Ratan ZA, Parrish AM, Zaman SB, Alotaibi MS, Hosseinzadeh H. Smartphone Addiction and Associated Health Outcomes in Adult Populations: A Systematic Review. Int J Environ Res Public Health. 2021 Nov 22;18(22):12257. doi: 10.3390/ijerph182212257.

    PMID: 34832011BACKGROUND
  • Royant-Parola S, Londe V, Trehout S, Hartley S. [The use of social media modifies teenagers' sleep-related behavior]. Encephale. 2018 Sep;44(4):321-328. doi: 10.1016/j.encep.2017.03.009. Epub 2017 Jun 8. French.

    PMID: 28602529BACKGROUND
  • Zagalaz-Sanchez ML, Cachon-Zagalaz J, Sanchez-Zafra M, Lara-Sanchez A. Mini Review of the Use of the Mobile Phone and Its Repercussion in the Deficit of Physical Activity. Front Psychol. 2019 Jun 6;10:1307. doi: 10.3389/fpsyg.2019.01307. eCollection 2019.

    PMID: 31244720BACKGROUND
  • Prizant-Passal S, Shechner T, Aderka IM. Social anxiety and Internet use A meta-analysis: What do we know? What are we missing? Computers in Human Behavior. 2016;62 :221-9. https://doi.org/10.1016/j.chb.2016.04.003

    BACKGROUND
  • Twenge JM. More Time on Technology, Less Happiness Associations Between Digital-Media Use and Psychological Well-Being. Current Directions in Psychological Science. 2019;28(4):372-9.https://doi.org/10.1177/0963721419838244

    BACKGROUND
  • Twenge JM, Campbell WK. Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study. Prev Med Rep. 2018 Oct 18;12:271-283. doi: 10.1016/j.pmedr.2018.10.003. eCollection 2018 Dec.

    PMID: 30406005BACKGROUND
  • Deci EL, Ryan RM. Intrinsic Motivation and Self-Determination in Human Behavior. Boston, MA: Springer US; 1985. https://doi.org/10.1007/978-1-4899-2271-7

    BACKGROUND
  • Deci EL, Ryan RM. Favoriser la motivation optimale et la santé mentale dans les divers milieux de vie. Canadian Psychology/Psychologie canadienne. 2008 ; 49(1) : 24-34. https://doi.org/10.1037/0708-5591.49.1.24

    BACKGROUND
  • Mills DJ, Milyavskaya M, Mettler J, Heath NL. Exploring the pull and push underlying problem video game use: A Self-Determination Theory approach. Personality and Individual Differences. 2018;135: 176-81. https://doi.org/10.1016/j.paid.2018.07.007

    BACKGROUND
  • Meng SQ, Cheng JL, Li YY, Yang XQ, Zheng JW, Chang XW, Shi Y, Chen Y, Lu L, Sun Y, Bao YP, Shi J. Global prevalence of digital addiction in general population: A systematic review and meta-analysis. Clin Psychol Rev. 2022 Mar;92:102128. doi: 10.1016/j.cpr.2022.102128. Epub 2022 Jan 25.

    PMID: 35150965BACKGROUND
  • Harris B, Regan T, Schueler J, Fields SA. Problematic Mobile Phone and Smartphone Use Scales: A Systematic Review. Front Psychol. 2020 May 5;11:672. doi: 10.3389/fpsyg.2020.00672. eCollection 2020.

    PMID: 32431636BACKGROUND
  • Notara V, Vagka E, Gnardellis C, Lagiou A. The Emerging Phenomenon of Nomophobia in Young Adults: A Systematic Review Study. Addict Health. 2021 Apr;13(2):120-136. doi: 10.22122/ahj.v13i2.309.

    PMID: 34703533BACKGROUND
  • Ryding FC, Kuss DJ. Passive objective measures in the assessment of problematic smartphone use: A systematic review. Addict Behav Rep. 2020 Jan 27;11:100257. doi: 10.1016/j.abrep.2020.100257. eCollection 2020 Jun.

    PMID: 32467846BACKGROUND
  • King D, Delfabbro P. Internet Gaming Disorder: Theory, Assessment, Treatment, and Prevention. Academic Press; 2018. 294 p.

    BACKGROUND
  • Radtke T, Apel T, Schenkel K, Keller J, von Lindern E. Digital detox: An effective solution in the smartphone era? A systematic literature review. Mobile Media & Communication. 2021:205015792110286. https://doi.org/10.1177/20501579211028647

    BACKGROUND
  • Winkler A, Dorsing B, Rief W, Shen Y, Glombiewski JA. Treatment of internet addiction: a meta-analysis. Clin Psychol Rev. 2013 Mar;33(2):317-29. doi: 10.1016/j.cpr.2012.12.005. Epub 2013 Jan 5.

    PMID: 23354007BACKGROUND
  • Xu LX, Wu LL, Geng XM, Wang ZL, Guo XY, Song KR, Liu GQ, Deng LY, Zhang JT, Potenza MN. A review of psychological interventions for internet addiction. Psychiatry Res. 2021 Aug;302:114016. doi: 10.1016/j.psychres.2021.114016. Epub 2021 May 21.

    PMID: 34087672BACKGROUND
  • Zajac K, Ginley MK, Chang R, Petry NM. Treatments for Internet gaming disorder and Internet addiction: A systematic review. Psychol Addict Behav. 2017 Dec;31(8):979-994. doi: 10.1037/adb0000315. Epub 2017 Sep 18.

    PMID: 28921996BACKGROUND
  • Przepiorka AM, Blachnio A, Miziak B, Czuczwar SJ. Clinical approaches to treatment of Internet addiction. Pharmacol Rep. 2014 Apr;66(2):187-91. doi: 10.1016/j.pharep.2013.10.001. Epub 2014 Mar 2.

    PMID: 24911068BACKGROUND
  • Young KS. Cognitive behavior therapy with Internet addicts: treatment outcomes and implications. Cyberpsychol Behav. 2007 Oct;10(5):671-9. doi: 10.1089/cpb.2007.9971.

    PMID: 17927535BACKGROUND
  • Clark NM, Zimmerman BJ. A social cognitive view of self-regulated learning about health. Health Educ Behav. 2014 Oct;41(5):485-91. doi: 10.1177/1090198114547512.

    PMID: 25270173BACKGROUND
  • Hawi NS, Samaha M, Griffiths MD. The Digital Addiction Scale for Children: Development and Validation. Cyberpsychol Behav Soc Netw. 2019 Dec;22(12):771-778. doi: 10.1089/cyber.2019.0132. Epub 2019 Nov 22.

    PMID: 31755742BACKGROUND
  • Bouvard M, Dacquin F, Denis A. Étude de la validité de l'échelle d'anxiété et de dépression révisée (RCADS) et de la grille d'évaluation des troubles anxieux forme révisée (SCARED-R). Journal de Thérapie Comportementale et Cognitive. 2012 ; 22 (4) : 175-81. https://doi.org/10.1016/j.jtcc.2012.09.003

    BACKGROUND
  • de Grâce GR, Joshi P, Pelletier R. L'Échelle de solitude de l'Université Laval (ÉSUL) : validation canadienne-française du UCLA Loneliness Scale. Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement. 1993 ; 25 (1) : 12-27. https://doi.org/10.1037/h0078812

    BACKGROUND
  • Crépin N, Delerue F. Echelle d'Estime de Soi de Rosenberg. Institut Régional du Bien-être, de la Médecine et du Sport Santé. 2008.

    BACKGROUND
  • Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003 Aug;35(8):1381-95. doi: 10.1249/01.MSS.0000078924.61453.FB.

    PMID: 12900694BACKGROUND
  • Vallerand RJ, Blais MR, Brière NM, Pelletier LG. Construction et validation de l'échelle de motivation en éducation (EME). Canadian Journal of Behavioural Science / Revue canadienne des sciences du comportement. 1989 ; 21(3) : 323-49. https://doi.org/10.1037/h0079855

    BACKGROUND
  • Bastuji H, Jouvet M. [Value of the sleep diary in the study of vigilance dis]. Electroencephalogr Clin Neurophysiol. 1985 Apr;60(4):299-305. doi: 10.1016/0013-4694(85)90003-3. French.

    PMID: 2579796BACKGROUND
  • Little RJ, Rubin DB. Statistical Analysis with Missing Data. Wiley & Sons, Incorporated, John; 2019. 464 p.

    BACKGROUND
  • Brown TA. Confirmatory Factor Analysis for Applied Research, Second Edition. Guilford Publications; 2015. 462 p.

    BACKGROUND
  • Hayes AF. Introduction to Mediation, Moderation, and Conditional Process Analysis, Second Edition: A Regression-Based Approach. The Guilford Press; 2022. 692 p

    BACKGROUND

Related Links

MeSH Terms

Conditions

Internet Addiction DisorderPsychological Well-Being

Condition Hierarchy (Ancestors)

Technology AddictionBehavior, AddictiveCompulsive BehaviorImpulsive BehaviorBehaviorPersonal Satisfaction

Study Officials

  • Alexandre BELLIER, MD, PhD

    Centre d'Investigation Clinique - CHU Grenoble Alpes / Département d'Anatomie (LADAF) - Université Grenoble Alpes / Laboratoire AGEIS - Université Grenoble Alpes

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
INVESTIGATOR
Masking Details
In this study, it is impossible for participants to be blinded, as they know whether or not the Phonix Care tool is configured on their screens. However, we measure our primary and secondary judgment criteria at the first measurement time, before assigning subjects to one of the two groups. At the first stage, measurements are therefore collected blind to the conditions. In addition, the data analyses are carried out blind to the groups.
Purpose
PREVENTION
Intervention Model
PARALLEL
Model Details: For each participant: 15 days of pre-intervention monitoring for Control group and Experimental Group Affectation in each group: Control group: 5 months of monitoring Experimental group: 5 months of therapeutic educational app (Phonix Care) 15 days of post-intervention monitoring for Control group and Experimental Group
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

October 16, 2024

First Posted

October 18, 2024

Study Start

March 3, 2023

Primary Completion

January 16, 2024

Study Completion

January 16, 2024

Last Updated

October 18, 2024

Record last verified: 2024-04

Data Sharing

IPD Sharing
Will not share

There is no IPD sharing plan.

Locations