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Record W4288084482 · doi:10.1186/s13722-022-00323-4

Virtual opioid agonist treatment: Alberta’s virtual opioid dependency program and outcomes

2022· article· en· W4288084482 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAddiction Science & Clinical Practice · 2022
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsCentre de Santé et de Services Sociaux CavendishVirtual Materials Group (Canada)Alberta Health Services
Fundersnot available
KeywordsTelehealthDescriptive statisticsMedicineHealth psychologyTelemedicineHealth careOpioidEmergency medicinePublic healthNursingInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Virtually delivered healthcare (telehealth, telemedicine) has the potential to reduce gaps in access to opioid agonist therapy (OAT). Barriers to accessing OAT such as lack of transportation, in-person induction requirements, employment demands and limited childcare options reduce treatment opportunities for clients. A completely virtual model of care has been developed in Alberta, Canada. This paper introduces the unique virtual clinic model and describes outcomes from that model. METHODS: A retrospective chart review was conducted using datasets within existing electronic health records and databases from Alberta's Virtual Opioid Dependency Program (VODP). Outcome data were extracted at admission to ongoing care by Case Management within the VODP and at 3, 6 and 12 months for the duration of treatment. Utilization trends over three years were analyzed, including admissions, discharges and active client information. Data regarding clinical outcomes for clients engaged in ongoing care with the VODP were aggregated for analysis over four time periods, including treatment retention rates at 6 and 12 months. RESULTS: A total of 440 client records were included in the study sample. Descriptive analysis showed rapid growth in utilization over three fiscal years. Despite rapid growth in utilization, median wait days for treatment decreased from 6 to 0 days with the initiation of a Same Day Start service to support low barrier immediate access to treatment. Treatment retention rates for clients in ongoing care were comparable to published reports, with 90% of the study sample remaining in treatment over 6 months, and 58% showing retention over 12 months. Clients reported high levels of satisfaction (90%) and outcomes reflected reductions in drug use and overdose as well as improved social functioning. CONCLUSIONS: The VODP model demonstrated high levels of client satisfaction, rapid growth in utilization and positive preliminary clinical outcomes. Entirely virtual delivery of opioid agonist therapy is a promising option to facilitate access to evidence based treatment for opioid use disorder (OUD) in the context of a fentanyl overdose crisis, particularly for individuals living in rural 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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.410
Teacher spread0.372 · 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