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Record W3184110062 · doi:10.1371/journal.pone.0255396

Experiences of people with opioid use disorder during the COVID-19 pandemic: A qualitative study

2021· article· en· W3184110062 on OpenAlexafffundabout
Lexis R. Galarneau, Jesse Hilburt, Zoe R. O’Neill, Jane A. Buxton, Frank Scheuermeyer, Kathryn Dong, Janusz Kaczorowski, Aaron Orkin, Skye Barbic, Misty Bath, Jessica Moe, Isabelle Miles, Dianne Tobin, Sherry Grier, Emma Garrod, Andrew Kestler

Bibliographic record

VenuePLoS ONE · 2021
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsBritish Columbia Centre on Substance UseProvidence Health CareUniversity of TorontoCentre Hospitalier de l’Université de MontréalSt. Paul's HospitalCentre for Advancing Health OutcomesUniversity of British ColumbiaBC Centre for Disease ControlMcGill University Health CentreVancouver Coastal HealthUniversity of Alberta
FundersCanadian Institutes of Health ResearchNational Institute on Drug AbuseVancouver Coastal Health Research InstituteProvidence Health Care
KeywordsPandemicCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus InfectionsMedicineBetacoronavirusVirologyOutbreakInternal medicineDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

AIM: To capture pandemic experiences of people with opioid use disorder (OUD) to better inform the programs that serve them. DESIGN: We designed, conducted, and analyzed semi-structured qualitative interviews using grounded theory. We conducted interviews until theme saturation was reached and we iteratively developed a codebook of emerging themes. Individuals with lived experience of substance use provided feedback at all steps of the study. SETTING: We conducted phone or in-person interviews in compliance with physical distancing and public health regulations in outdoor Vancouver parks or well-ventilated indoor spaces between June to September 2020. PARTICIPANTS: Using purposive sampling, we recruited participants (n = 19) who were individuals with OUD enrolled in an intensive community outreach program, had visited one of two emergency departments, were over 18, lived within catchment, and were not already receiving opioid agonist therapy. MEASUREMENTS: We audio-recorded interviews, which were later transcribed verbatim and checked for accuracy while removing all identifiers. Interviews explored participants' knowledge of COVID-19 and related safety measures, changes to drug use and healthcare services, and community impacts of COVID-19. RESULTS: One third of participants were women, approximately two thirds had stable housing, and ages ranged between 23 and 59 years old. Participants were knowledgeable on COVID-19 public health measures. Some participants noted that fear decreased social connection and reluctance to help reverse overdoses; others expressed pride in community cohesion during crisis. Several participants mentioned decreased access to housing, harm reduction, and medical care services. Several participants reported using drugs alone more frequently, consuming different or fewer drugs because of supply shortages, or using more drugs to replace lost activities. CONCLUSION: COVID-19 had profound effects on the social lives, access to services, and risk-taking behaviour of people with opioid use disorder. Pandemic public health measures must include risk mitigation strategies to maintain access to critical opioid-related services.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.326
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.082
GPT teacher head0.345
Teacher spread0.262 · 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 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

Citations56
Published2021
Admission routes3
Has abstractyes

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