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Record W4401793989 · doi:10.1177/29767342241266412

“SafetyNet”: Evaluation of a Recovery Coach and Paramedic Intervention Following Naloxone Resuscitation From an Opioid Overdose

2024· article· en· W4401793989 on OpenAlexaff
Daniel D. Joseph, Carolyn Brokowski, Gail D’Onofrio, Sandy Bogucki, Joanne McGovern, Rebecca A. Allen, James Dziura, David C. Cone, Michael V. Pantalon

Bibliographic record

VenueSubstance Use &amp Addiction Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsUniversity of British Columbia
FundersCenters for Disease Control and Prevention
KeywordsOpioid overdose(+)-NaloxoneResuscitationMedicineOpioidAnesthesiaIntervention (counseling)Medical emergencyEmergency medicineNursingInternal medicine

Abstract

fetched live from OpenAlex

Objective: Emergency department (ED)-initiated buprenorphine has proven efficacy, but many patients are reluctant to begin this treatment. This study evaluated SafetyNet, a program using a 2-person, recovery coach and paramedic (RCP) intervention postoverdose to reduce subsequent opioid overdose, engage patients in medications for opioid use disorder (MOUD), and reduce illicit drug use. Methods: We conducted a prospective nonrandomized study in individuals who experienced opioid overdoses, received naloxone, but subsequently declined buprenorphine initiation in the ED. Each participant was followed by an RCP team that performed a brief negotiation interview (BNI) to motivate engagement in treatment, peer-recovery coaching to encourage recovery-related activities, and health education around medical concerns by trained paramedics. Participants were followed-up at 30 and 180 days. The primary hypothesized outcome was reduction in overdose events; the secondary hypothesized outcomes were engagement in MOUD and reduction in opioid positive urine tests. Results: Eighty-one patients were enrolled and received BNIs; 45 (56%; 95% CI: 44-67) had at least 1 follow-up encounter. Twenty participants (25%; 95% CI: 16-36) had at least 1 overdose during follow-up. Fifty-five participants (68%; 95% CI: 57-78) were confirmed to have engaged in some form of medication treatment. Differences in subsequent overdose events ( P = .95), engagement in MOUD ( P = .49), and rates of opioid-positive urine toxicology rates within 30 days ( P = .44) and between 31 and 180 days ( P = .46) were not significantly different when comparing those who did and did not follow-up. Conclusion: There were no differences in rates of subsequent overdose, MOUD engagement, or positive urine toxicology screens in our intervention. However, 68% of participants engaged in outpatient MOUD, a treatment associated with fewer overdose events, particularly fatal ones. Substantial limitations occurred due to the COVID pandemic, and sample size estimates were not met. Further research is needed to investigate potential benefits of the SafetyNet program.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score0.751

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.042
GPT teacher head0.341
Teacher spread0.299 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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