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Record W2772655920 · doi:10.1111/epi.13974

A longitudinal cohort study on the impact of the clobazam shortage on patients with epilepsy

2017· article· en· W2772655920 on OpenAlexafffundabout
Sara Lukmanji, Khara M. Sauro, Colin B. Josephson, Kristianne Chelsea Altura, Samuel Wiebe, Nathalie Jetté

Bibliographic record

VenueEpilepsia · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
FundersCanadian Institutes of Health ResearchCumming School of Medicine, University of CalgaryUniversity of Calgary
KeywordsClobazamEpilepsyEconomic shortageMedicineDrug Resistant EpilepsyQuality of life (healthcare)Family medicineCohortPsychologyPsychiatryInternal medicineNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: Drug shortages are occurring at an increasing rate. From May to October 2016, there was a shortage of a level I critical antiepileptic drug, clobazam. We aimed to study the impact of this shortage on patients with epilepsy. METHODS: Adult patients from Calgary's Comprehensive Epilepsy Program who were taking clobazam were approached to participate in the study. Baseline data from the clinic prospective registry included clinical variables and presurvey patient-reported outcomes (PROs) such as the Global Assessment of Severity of Epilepsy, the Global Assessment of Disability Associated with Seizures, and the Quality of Life in Epilepsy questionnaire. We used a mixed-methods cross-sectional questionnaire via telephone. We analyzed quantitative data using descriptive methods and qualitative data using a phenomenological approach. RESULTS: Of the 85 eligible patients, 84% (n = 71) agreed to participate. Participants ranged from 18 to 78 years old, and 59.2% of participants were female. Overall, 80% of participants experienced some form of medication change due to the shortage. No significant differences were found in the pre- and during-shortage PRO data. However, 6 important themes emerged regarding the impact of the antiepileptic drug shortage on patients: (1) communication and awareness, (2) burden on patients and caregivers, (3) physical impact, (4) psychological impact, (5) health care provider assistance in navigating the shortage, and (6) policy change. SIGNIFICANCE: We examined the impact of the clobazam shortage on patients with epilepsy from the patient's perspective and identified 6 important themes. As a result, we were able to gain insight into what patients need to cope with drug shortages and make recommendations that can help mitigate the impact of shortages on patients in the future. Further research is needed to better understand drug shortages from the patient's perspective in various settings and conditions.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.064
GPT teacher head0.314
Teacher spread0.250 · 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 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

Citations30
Published2017
Admission routes3
Has abstractyes

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