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Record W4307414400 · doi:10.1186/s13011-022-00497-9

Inpatient care provider perspectives on the development and implementation of an addiction medicine consultation service in a small urban setting

2022· article· en· W4307414400 on OpenAlexaff
Madelaine Beckett, Ramm Hering, Karen Urbanoski

Bibliographic record

VenueSubstance Abuse Treatment Prevention and Policy · 2022
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of VictoriaIsland HealthUniversity of British Columbia
Fundersnot available
KeywordsOutreachNursingHealth psychologyMedicineSocial workPublic healthService (business)AddictionNursing researchHealth administrationService providerFamily medicinePsychiatryBusiness

Abstract

fetched live from OpenAlex

BACKGROUND: To evaluate provider perspectives on the development and implementation of an inpatient Addiction Medicine Consult Service, including their awareness of the service, its perceived role in the continuum of care, and changes over time in their perceptions of care quality for inpatients with substance use disorders. METHODS: Repeated cross-sectional survey of hospital-based physicians, nurses and social workers performed at service launch (April-June, 2017) and 4 years later (March-June, 2021). RESULTS: Providers had generally positive perceptions of the service and its impact on care quality, but encountered significant barriers at both time points in meeting patient needs (related to high patient complexity and difficulty connecting patients with community services post-discharge). Relative to physicians and social workers, nurses were less likely to be familiar with the service or see it as beneficial. CONCLUSIONS: Findings indicate that the service fills a gap that existed previously in the local system of care; however, numerous opportunities exist to further strengthen the system beyond the hospital setting to promote longer-term health among people who use substances. For nurses in particular, outreach, education, and other resources (e.g., dedicated nursing role support, nurse liaison) are warranted to ensure that nurses feel supported and confident caring for this patient population.

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 score0.195
Threshold uncertainty score0.538

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 head0.027
GPT teacher head0.324
Teacher spread0.297 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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