Perspectives of healthcare workers on the integration of overdose detection technologies in acute care settings
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.
Bibliographic record
Abstract
BACKGROUND: People who use drugs (PWUD) face disproportionately high rates of hospitalizations and patient-initiated discharge (leaving against medical advice), explained by a combination of stigma, withdrawal, judgment, blame, and improper pain management. In addition, evidence has shown that despite abstinence-based policies within healthcare settings, PWUD continue to use their substances in healthcare environments often hidden away from hospital staff, resulting in fatalities. Various novel overdose detection technologies (ODTs) have been developed with early adoption in a few settings to reduce the morbidity and mortality from risky substance use patterns within healthcare environments. Our study aimed to gain the perspectives of healthcare workers across Canada on implementing ODTs within these settings. METHOD: We used purposive and snowball sampling to recruit 16 healthcare professionals to participate in semi-structured interviews completed by two evaluators. Interview transcripts were analyzed using thematic analysis to identify key themes and subthemes. RESULTS: Participants recognized ODTs as a potentially feasible solution for increasing the safety of PWUD in healthcare settings. Our results suggest the mixed ability of these services to decrease stigma and build rapport with PWUD. Participants further highlighted barriers to implementing these services, including pre-established policies, legal recourse, and coordination of emergency responses to suspected overdoses. Lastly, participants highlight that ODTs should only be one part of a multifaceted approach to reducing harm in healthcare settings and could currently be integrated into discharge planning. CONCLUSION: Healthcare professionals from across Canada found ODTs to be an acceptable intervention, but only as part of a larger suite of harm reduction interventions to reduce the harms associated with illicit drug use in healthcare settings. In contrast, participants noted institutional policies, stigma on behalf of healthcare workers and leadership would present significant challenges to their uptake and dissemination.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it