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Record W4402456348 · doi:10.2196/56387

Family-Centered Treatment Program for Problematic Gaming and Excessive Screen Use in a Clinical Child and Youth Population (FAME): Protocol for a Feasibility Pilot Mixed Method Study

2024· article· en· W4402456348 on OpenAlexvenueno aff
Marie Werner, Sabina Kapetanovic, Emma Claesdotter‐Knutsson

Bibliographic record

VenueJMIR Research Protocols · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsnot available
Fundersnot available
KeywordsPreprintProtocol (science)PopulationPsychologyMedicineAdvertisingComputer scienceEnvironmental healthWorld Wide WebAlternative medicineBusiness

Abstract

fetched live from OpenAlex

BACKGROUND: Screen time among children and adolescents has increased dramatically, raising concerns about its impact on development and mental health. While research highlights both potential benefits and risks, excessive use has been linked to issues like anxiety, depression, and gaming addiction. Despite growing concern, effective interventions are scarce. Recognizing the importance of family dynamics in child development, we propose a family-centered program to address problematic gaming and excessive screen use in a clinical population. By involving both children and parents, we aim to create a more comprehensive approach to prevention and treatment. OBJECTIVE: This study aims to determine the possibility of distributing and evaluating a family-centered group program for problematic gaming and excessive screen use (FAME) in a clinical child and adolescent psychiatry (CAP) population. We will monitor the recruitment rate; track the retention and attendance rates of both parents and children; and assess whether each session's objectives are met, the content is delivered within the allotted time, and the necessary resources (eg, facilitators and materials) are available. Additionally, we will gather qualitative and quantitative feedback from participants through postprogram surveys and individual interviews with both children and parents. METHODS: A total of 10 families with ongoing contact with CAP in Skåne, Sweden, will be recruited and offered participation in a family-centered group program targeting children aged 10-18 years with reported difficulties regarding screen gaming or screen use. The intervention to be tested is a newly developed, family-centered, psychoeducational, cognitive behavioral therapy-based intervention addressing both positive and negative aspects of screen use; setting boundaries; the connection between thoughts, feelings, and behaviors; conflict triggers; and sleep hygiene. The primary goal of the pilot study is to test the feasibility of the program, as well as recruitment and the analysis of participants' experiences with the program. RESULTS: A total of 11 children and their parents were enrolled during first quarter of 2024. A 4-session pilot was delivered in first quarter of 2024, and the first results are expected in the third quarter of 2024. CONCLUSIONS: The overarching goal of this pilot study is to determine the possibility of distributing and evaluating a family-centered group program for problematic gaming and excessive screen use (FAME) in a clinical CAP population. The insights gained from this study will guide our future research, which will focus on conducting a larger-scale evaluation of the intervention's impact on family screen time conflicts and inform future strategies for the implementation of family-centered interventions in child and youth clinics. TRIAL REGISTRATION: ClinicalTrials.gov NCT06098807; https://clinicaltrials.gov/study/NCT06098807. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56387.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.281
Threshold uncertainty score0.818

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.632
GPT teacher head0.674
Teacher spread0.041 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2024
Admission routes1
Has abstractyes

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