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Record W3159478449

A REVIEW ON ROLE OF PHARMACIST ON ECONOMIC BURDEN OF ADVERSE DRUG REACTIONS

2005· review· en· W3159478449 on OpenAlexaboutno aff
Chaithra Vemparala, Tabitha Sharon, Sreenu Thalla, Padmalatha Kantamneni

Bibliographic record

VenueWorld Journal of Pharmaceutical and life sciences · 2005
Typereview
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacovigilance and Adverse Drug Reactions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDrug reactionPharmacistAdverse drug reactionIncidence (geometry)DrugPharmacovigilancePharmacyIntervention (counseling)Health careIntensive care medicineEmergency medicineMedical emergencyFamily medicinePharmacologyNursing
DOInot available

Abstract

fetched live from OpenAlex

Adverse drug reaction (ADR) defined as harmful or unpleasant reaction resulting from intervention due to the use of medicinal product which may produce hazard from future administration. The incidence of ADRs was being increased from 3.7% to 30%. The studies report that ADRs account for 5% of hospital admissions and seen in 10-20% of hospitalized patients. Incidence of serious ADRs was 6.7% and fatal ADRs were 0.32% respectively. ADRs account for 4.2-30% of hospital admissions in United States and Canada, 2.5-10.6% in Europe and 5.7-18.8% in Australia. The pharmacist must assist in monitoring the safe and effective use of medication and reduce the occurrence of ADRs. As the pharmacists have vast knowledge of therapeutics and pharmacology of medications they can detect and monitor the ADRs and other medication related problems. Pharmacists should work together with other health care professionals to increase reporting of ADRs in hospital and community settings.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.952
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.204
GPT teacher head0.511
Teacher spread0.307 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2005
Admission routes1
Has abstractyes

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