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Record W4414708281 · doi:10.1016/j.invent.2025.100878

Effectiveness of a guided internet-based intervention in reducing procrastination among university students – a randomized controlled trial

2025· article· en· W4414708281 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternet Interventions · 2025
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsUniversity of British Columbia
FundersRotterdam University of Applied SciencesUniversiteit MaastrichtVrije Universiteit AmsterdamUniversiteit UtrechtErasmus Universiteit RotterdamUniversiteit van AmsterdamUniversiteit Leiden
KeywordsRandomized controlled trialProcrastinationIntervention (counseling)Protocol (science)Trial registration

Abstract

fetched live from OpenAlex

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

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.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.021
GPT teacher head0.361
Teacher spread0.341 · 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