Effectiveness of a guided internet-based intervention in reducing procrastination among university students – a randomized controlled trial
Notice bibliographique
Résumé
Procrastination is highly prevalent among students and has several negative consequences, affecting academic performance, mental health, and prospects for future professional development. However, there exists a treatment gap, with there being many more students with problems than those receiving help. This study aims to assess the effectiveness of a guided internet-based intervention, GetStarted , in addressing procrastination among college students. In this two-arm randomized controlled trial, 403 students were randomly assigned to GetStarted or waitlist control. The primary outcome was the difference in self-reported procrastination behaviours between intervention and control measured on the Irrational Procrastination scale (IPS) at post-test (4 weeks post-baseline). In addition, long-term effects based on the difference in the IPS scores from baseline to 6-months follow-up were assessed in the intervention group. Secondary outcomes were differences in depressive symptoms, anxiety, stress, and mental health-related quality of life. All analyses were based on the intent to treat principle. The Random Forest Lee bounds approach was applied as a sensitivity and robustness analysis. The sociodemographic characteristics of the participants were examined as treatment moderators. Finally, treatment acceptability was assessed through satisfaction with treatment, program usability, satisfaction with e-coach, and treatment adherence. Our results revealed that GetStarted was significantly effective in reducing procrastination at the post-test (Cohen's d = 0.40), and this effect remained stable at 6-month follow-up ( p < .001). The intervention group also experienced reductions in depressive symptoms, anxiety, and stress, along with an increase in quality of life from baseline to post-test and 6-month follow-up, although these changes were not statistically significant apart from perceived stress. No significant moderators influenced treatment effectiveness. Overall, participants reported good acceptability of the treatment. GetStarted offers an effective, flexible, and low-intensity solution for treating procrastination, with the potential to prevent common mental health issues among college students. This trial is registered at ClinicalTrials.gov Protocol Registration and Results System (Trial number: NCT05478096 ). • Procrastination is common in university students and is associated with several negative consequences • Guided online interventions may overcome barriers to treatment, but evidence remains limited and methodologically weak • GetStarted is an effective, flexible and low intensity program that reduces procrastination up to 6 months • No significant secondary effects were found for depressive symptoms, anxiety and quality of life • Students reported high satisfaction with both the intervention and their e-coaches
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,003 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».