Telehealth for people who inject drugs: An acceptable method of treatment but challenging to access
Bibliographic record
Abstract
BACKGROUND: While telemedicine is seen as an emerging practice that will outlast the COVID-19 pandemic, it can reduce health services for those with limited internet and technological devices access or sufficient literacy. OBJECTIVE(S): The aim of this study was to explore the feasibility of using telehealth with people who inject drugs (PWID). METHODS: A survey on availability and accessibility of different methods of communication was administered to a sample of PWID from an ongoing longitudinal cohort in Montréal, Canada. RESULTS: Among the 96 respondents, phone calls were generally considered acceptable (89.6%) although availability was low (50%). Acceptability and availability of social media were 26% and 41.7%, respectively. Internet-based communication applications were considered acceptable to use for telehealth in 28.1% of participants, even if not frequently available (8.3%). CONCLUSIONS: Telehealth is an acceptable form of treatment for PWID, but may be challenging due to low availability of phone or internet access.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".