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Record W2071823052 · doi:10.3928/0098-9134-20040301-09

Iatrogenic Prescribing in Acute Care: Learning From Our Mistakes

2004· article· en· W2071823052 on OpenAlexaff
Frank MacDonald

Bibliographic record

VenueJournal of Gerontological Nursing · 2004
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsAlberta Health Services
Fundersnot available
KeywordsMedicineDrugPharmacokineticsAdverse effectIntensive care medicinePharmacologyDrug metabolismPolypharmacy

Abstract

fetched live from OpenAlex

1. The pharmacokinetics of medications (i.e., absorption, distribution, metabolism, elimination) are altered in older adults because of age-related changes in body composition, diminished vascularity, and atrophy of end-organs. 2. The result of altered pharmacokinetics is often a stronger drug effect than seen in younger adults, a longer duration of drug action, and higher risk of adverse drug effects and drug-drug interactions. 3. Nurses working with older adults should be aware of measures to prevent potential adverse drug effects, including being aware of adverse effects of drugs and that the effects of drugs in older adults are atypical; being aware that changing more than one medication or dosage at a time may make interpretation of the response more difficult; being aware that many drugs with narrow therapeutic windows can and should be monitored via serum levels, and that renal insufficiency will increase the chance of adverse drug effects for renally excreted drugs.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.409

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 integrity0.0000.001
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 head0.137
GPT teacher head0.409
Teacher spread0.272 · 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 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

Citations2
Published2004
Admission routes1
Has abstractyes

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