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Record W7116775215 · doi:10.1186/s13722-025-00626-2

Facilitator perspectives on in-person versus videoconference delivery of a remedial intervention for impaired drivers: a qualitative study

2025· article· en· W7116775215 on OpenAlex
Chloe Docherty, Jennifer Rup, Gina Stoduto, Susan Labadia, Heulwen A. Williams, Rosely Flam-Zalcman, Tinsae Neamen, Branka Agic, Nigel E. Turner, W. Wang, Christine M. Wickens

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAddiction Science & Clinical Practice · 2025
Typearticle
Languageen
FieldEngineering
TopicTraffic and Road Safety
Canadian institutionsPublic Health OntarioUniversity of TorontoCentre for Addiction and Mental Health
FundersTransport Canada
KeywordsFacilitatorVideoconferencingQualitative researchHealth psychologyThe InternetPublic healthCurriculumInternet accessMental health

Abstract

fetched live from OpenAlex

BACKGROUND: Remedial education programs for drivers who have committed an impaired driving offence have been adopted in many jurisdictions worldwide to address impaired driving recidivism. Back on Track (BOT) is a three-part program in Ontario, Canada, which includes an 8-hour or 16-hour workshop. Although originally mandated by the Province to be delivered in-person only, a shift to online workshop delivery was required during the COVID-19 pandemic, when public health measures forbid public gathering. This study aimed to identify: (1) benefits and drawbacks for impaired driving offenders attending the program via videoconferencing technology, and; (2) potential improvements for videoconferencing-based delivery, from the facilitators’ perspective. METHODS: Semi-structured interviews were conducted with ten BOT facilitators who had experience delivering the 8-hour workshop both in-person (before the pandemic) and online via videoconferencing. Interviews were conducted via Webex, were audio-recorded, transcribed, and thematically analyzed. RESULTS: Facilitators noted that online delivery of BOT improved participant access to the program and allowed BOT providers to accommodate participants from beyond their own geographical catchment area, facilitating earlier completion of the program. However, because access to the Internet or a home computer is not universal and some participants are less familiar with videoconferencing technology, videoconferencing does not address all access issues. The ability to mute workshop discussion when online facilitated movement through curriculum and private virtual spaces could be used for one-on-one communication with any participant under the influence of alcohol or drugs. Anxiety and discomfort associated with attending an addictions treatment centre in the company of strangers was alleviated. Instead of one 8-hour in-person day, the two 4-hour online days were perceived by facilitators as more manageable and less rushed. While facilitators noted a steep learning curve in use of videoconferencing software, technology malfunctioning sometimes posed a challenge. It was also more difficult to build rapport and create connections with participants in an online setting. CONCLUSIONS: Facilitators mostly agreed that BOT participants likely benefit as much from the program online as they do in-person, and suggested that online workshops should continue because the benefits outweigh the disadvantages. Facilitators also recommended that in-person workshops be offered for those who cannot access online platforms.

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)0.004
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.092
GPT teacher head0.460
Teacher spread0.368 · 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