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Record W4413117518 · doi:10.1186/s13722-025-00585-8

“It beats the hell out of going to a hospital”: service user experiences of telemedicine-based symptom-triggered alcohol withdrawal management

2025· article· en· W4413117518 on OpenAlex
Nikki Bozinoff, Divya Prasad, Ke Bin Xiao, Anthony Ngoy, Bernard Le Foll, Anna Gordezky, Christian S. Hendershot, Sandra LaFleur, Lena C. Quilty, Victor M. Tang, Tara Marie Watson, Matthew E. Sloan

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.

Bibliographic record

VenueAddiction Science & Clinical Practice · 2025
Typearticle
Languageen
FieldMedicine
TopicAlcoholism and Thiamine Deficiency
Canadian institutionsThe Scarborough HospitalUniversity of TorontoWaypoint Centre for Mental Health CareCentre for Addiction and Mental Health
FundersNational Institute on Drug AbuseCanadian Institutes of Health ResearchOntario Ministry of Health and Long-Term Care
KeywordsThematic analysisAbstinenceIntervention (counseling)Contingency managementTelemedicineMedicineAlcohol use disorderFlexibility (engineering)Brief interventionQualitative researchRelapse preventionPsychologyPsychiatryHealth careAlcohol

Abstract

fetched live from OpenAlex

INTRODUCTION: Increasingly, services for the management of substance use disorders have been developed or adapted for remote delivery. Limited research has investigated service user experience of these services. We undertook a qualitative sub-study, embedded within a pilot feasibility study of remote symptom-triggered alcohol withdrawal management, to better understand the experiences of participants. Our aim was to determine the acceptability of the intervention and refine intervention procedures. METHODS: Eligible participants were enrolled in the parent study and completed at least one day of telemedicine-delivered symptom-triggered alcohol withdrawal management. Individuals were adults with alcohol use disorder recruited using intensity sampling. Participants completed an audio-recorded, semi-structured interview. Thematic analysis was conducted using Braun and Clarke interpretive methodology. RESULTS: Fourteen individuals were enrolled in the study. Six themes were identified: benefits of being in the home environment, technological tensions, intervention-specific feedback, personal motivations for participation, post-program achievements and changes and navigating the 'system'. Participants identified numerous benefits of being in the home environment including: increased comfort, privacy and security, normalizing abstinence in the home, flexibility to engage in other tasks, and the convenience of not travelling. Intervention-specific feedback included positive aspects of the intervention (interactions with staff, accountability, counselling, use of medication), areas for improvement (preparation, scheduling, medication logistics, and aftercare), and the meaning and role of having a support person available during treatment. CONCLUSION: Participants found remote alcohol withdrawal management to be satisfactory and associated with several benefits including increased comfort, privacy, normalizing abstinence in the home, flexibility and convenience. They also provided important feedback for refinement of the intervention. Findings suggest that remote alcohol withdrawal management could play an important role in improving access to medical management of alcohol withdrawal, particularly in rural, remote or underserved areas.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.038
GPT teacher head0.420
Teacher spread0.382 · 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