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Record W4385762353 · doi:10.46542/pe.2023.231.412419

Evaluation of a pharmacy emergency response conference workshop

2023· article· en· W4385762353 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePharmacy Education · 2023
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPharmacyPreparednessEmergency managementDisaster preparednessPerceptionDisaster responseMedical educationDisaster medicineMedicineMedical emergencyPsychologyNursingHuman factors and ergonomicsPoison controlPolitical science

Abstract

fetched live from OpenAlex

Background: The importance of pharmacists' involvement in disasters is becoming increasingly recognised in the literature. The aim of this project was to determine the effectiveness of a disaster workshop in improving pharmacy staff’s perceived capabilities to prevent, prepare for, respond to, and recover from disasters. Methods: A disaster workshop was provided at a pharmacy conference. The workshop incorporated an evolving emergency scenario in which participants worked through activities pertaining to the prevention, preparedness, response, and recovery cycles. The attendees were invited to complete a previously validated pre-post survey assessing their perceptions of their skills and capabilities in the components of disaster management. Results: The pre-post survey was completed by 31 attendees. After the workshop, participants' perceptions of their ability to prevent, respond to, and recover from a disaster significantly improved (p=0.004, 0.013, and 0.013, respectively). Conclusion: This study demonstrated that a conference disaster workshop can improve the understanding and perceived disaster capabilities of health-system pharmacy personnel.

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.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
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)0.0090.002

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 head0.396
GPT teacher head0.597
Teacher spread0.200 · 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