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Record W2335471350 · doi:10.3821/1913-701x-143.4.170

Opportunities for Medication-Related Support after Discharge from Hospital

2010· article· en· W2335471350 on OpenAlexvenueno aff
Priti S. Flanagan, Shane Pawluk, Sanjeev Bains

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2010
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePharmacistDrugHospital dischargeCommunity hospitalMedication ReconciliationDrug Utilization ReviewFurosemidePharmaceutical careEmergency medicinePharmacyIntensive care medicineFamily medicinePharmacologyNursingInternal medicine

Abstract

fetched live from OpenAlex

Background: Despite documentation of the need for and benefit of medication-related support for patients who have been discharged from hospital, such support is not consistently available. This gap in care represents an opportunity for community pharmacists. Objective: To detail the types of drug-related issues identified for patients after discharge from hospital. Methods: The study entailed review of medication assessments performed by a Medication Management Program pharmacist for patients discharged from a community hospital over a 1-year period, in order to identify the number and type of drug-related problems, the number of discrepancies and the medications most commonly implicated in these problems. Results: Records were reviewed for 110 patients discharged during the study period. For these patients, the pharmacist identified a total of 259 drug-related problems (median 2 per patient) and 135 medication discrepancies (median 1 per patient) shortly after discharge. The most commonly implicated medications were calcium-vitamin D supplements, acetylsalicylic acid, furosemide and ramipril. Conclusion: With information about the types of drug-related problems and discrepancies commonly identified for patients discharged from hospital, community pharmacists are ideally positioned to respond to this gap in care.

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)0.002
metaresearch head score (Gemma)0.020
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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.090
GPT teacher head0.333
Teacher spread0.243 · 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

Citations6
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Pharmacists Journal / Revue des Pharmaciens du CanadaSame topicPharmaceutical Practices and Patient OutcomesFrench-language works237,207