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Record W3153429539 · doi:10.1186/s12873-021-00443-1

A qualitative examination of the current management of opioid use disorder and barriers to prescribing buprenorphine in a Canadian emergency department

2021· article· en· W3153429539 on OpenAlexafffundabout
David Wiercigroch, Patricia Hoyeck, Hasan Sheikh, Jennifer Hulme

Bibliographic record

VenueBMC Emergency Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsUniversity Health NetworkCanada Research ChairsUniversity of Toronto
FundersSpoedeisende Geneeskunde OnderzoeksfondsUniversity of TorontoUniversity Health Network
KeywordsBuprenorphineOpioid use disorderMedicineEmergency departmentQualitative researchGrounded theoryOpiate Substitution TreatmentFocus groupFamily medicinePsychiatryNursingOpioid

Abstract

fetched live from OpenAlex

BACKGROUND: Emergency departments (EDs) across Canada are increasingly prescribing buprenorphine for opioid use disorder (OUD). The objective of this study was to identify the current knowledge, attitudes, and behaviours of ED physicians on the management of OUD in the ED, including barriers and facilitators to prescribing buprenorphine. METHODS: We purposefully selected emergency physicians from one ED in Toronto which had recently received education on OUD management and had a new addiction medicine follow-up clinic, to participate in semi-structured interviews. We used semi-structured interviews to explore experiences with patients with OUD, conceptions of role of the ED in addressing OUD, and specifically ask about perceptions and experience on using buprenorphine for opioid withdrawal. Our analysis was informed by constructivist grounded theory to help uncover contextualized social processes and focus on what people do and why they do it. Two researchers independently coded transcripts using an iterative constant comparative and interpretative approach. RESULTS: Results fell broadly into facilitators and barriers. Generally, management of OUD in the ED varied significantly. Physician-level facilitators to treating opioid withdrawal with buprenorphine included: knowledge about OUD an7d buprenorphine, positive experiences with substitution therapy in the past, and the presence of physician champions. Systems-level facilitators included timely access to follow-up care and pre-printed order sets. Barriers included provider inexperience, lack of feedback on treatment effectiveness, limited time to counsel patients, and pressure to discharge patients quickly. Additional barriers included concerns about precipitating withdrawal, prescribing a chronic medication in acute care, and patient attitudes. CONCLUSION: This study describes barriers and facilitators to addressing OUD and prescribing buprenorphine in a Canadian ED. These findings suggest a role for additional provider education, involvement of allied health professionals in counseling, and mentorship by physician champions in the department.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.049
GPT teacher head0.350
Teacher spread0.301 · 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.

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

Citations16
Published2021
Admission routes3
Has abstractyes

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