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Record W4391845150 · doi:10.1186/s12913-023-10271-7

Healthcare provider perspectives on emergency department-initiated buprenorphine/naloxone: a qualitative study

2024· article· en· W4391845150 on OpenAlexafffundabout
Katherin Badke, Serena S Small, Megan E. Pratt, Julie Lockington, Lara Gurney, Andrew Kestler, Jessica Moe

Bibliographic record

VenueBMC Health Services Research · 2024
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsBC Children's HospitalVancouver Coastal Health Research InstituteVancouver Coastal HealthVancouver General HospitalSt. Paul's HospitalSpinal Cord Injury BCBC Centre for Disease ControlUniversity of British Columbia
FundersBritish Columbia Centre for Disease ControlCanadian Association of Emergency PhysiciansBCCDC Foundation for Public HealthJohns Hopkins University
KeywordsBuprenorphineEmergency departmentMedicineFocus groupHealth careThematic analysisQualitative researchNursing(+)-NaloxoneHealth administrationContext (archaeology)Nursing researchFamily medicinePublic healthOpioidSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Take-home buprenorphine/naloxone is an effective method of initiating opioid agonist therapy in the Emergency Department (ED) that requires ED healthcare worker buy-in for large-scale implementation. We aimed to investigate healthcare workers perceptions of ED take-home buprenorphine/naloxone, as well as barriers and facilitators from an ED healthcare worker perspective. METHODS: In the context of a take-home buprenorphine/naloxone feasibility study at a tertiary care teaching hospital we conducted a descriptive qualitative study. We conducted one-on-one in person or telephone interviews and focus groups with ED healthcare workers who cared for patients given take-home buprenorphine/naloxone in the feasibility study at Vancouver General Hospital from July 2019 to March 2020. We conducted 37 healthcare worker interviews from December 2019 to July 2020. We audio recorded interviews and focus groups and transcribed them verbatim. We completed interviews until we reached thematic saturation. DATA ANALYSIS: We inductively coded a sample of transcripts to generate a provisional coding structure and to identify emerging themes, which were reviewed by our multidisciplinary team. We then used the final coding structure to analyze the transcripts. We present our findings descriptively. RESULTS: Participants identified a number of context-specific facilitators and barriers to take-home buprenorphine/naloxone provision in the ED. Participants highlighted ED conditions having either facilitative or prohibitive effects: provision of buprenorphine/naloxone was feasible when ED volume was low and space was available but became less so as ED volume increased and space decreased. Similarly, participants noted that patient-related factors could have a facilitative or prohibitive effect, such as willingness to wait (willing to stay in the ED for study-related activities and buprenorphine/naloxone initiation activities), receptiveness to buprenorphine/naloxone, and comprehension of the instructions. As for staff-related factors, time was identified as a consistent barrier. Time included time available and time required to initiate buprenorphine/naloxone (including time building rapport). Healthcare worker familiarity with buprenorphine/naloxone was noted as either a facilitating factor or a barrier, and healthcare workers indicated that ongoing training would have been advantageous. Many healthcare workers identified that the ED is an important first point of contact for the target patient population. CONCLUSION: Integrating a buprenorphine/naloxone program into ED care requires organizational supports (e.g., for managing buprenorphine/naloxone within limitations of ED volume, space, and time), and ongoing education of healthcare workers to minimize identified barriers.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0100.007
Scholarly communication0.0050.005
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.117
GPT teacher head0.515
Teacher spread0.398 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2024
Admission routes3
Has abstractyes

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