MétaCan
Menu
Back to cohort
Record W6981669145

Evaluation of the adequacy of drug therapy prescribed to elderly patients admitted in a teaching hospital of Fortaleza city

2007· article· en· W6981669145 on OpenAlexaboutno aff

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsMedical prescriptionBeers CriteriaPharmacovigilancePharmacotherapyMedical recordTeaching hospitalAdverse effectHealth careDrug Utilization Review
DOInot available

Abstract

fetched live from OpenAlex

The chronic and degenerative illnesses are common in elderly and frequently many medicines are used to treat them. The prescription medication and the improper use of medicines may lead to undesirable results causing hospital admissions which may be preventable and raising costs in health system. To evaluate the adequacy of drug therapy prescribed to elderly patients admitted in a teaching hospital of Fortaleza city based on Beers and Canadian criteria; to evaluate the adequacy of medicines prescribed in relation to the four of five swedish quality indicators of pharmacotherapy to older patients and to perceive the frequency of adverse drug reactions (ADR) during the hospital stay. This is an observational, descriptive and transversal study by convenience sample. The study was developed in the clinical patients ward of the University Walter Cantidio Hospital from October 2006 and May 2007. Patients 60 years and older admitted in the hospital were included in the study, particularly those that had signed the informed consent previously. A pharmacotherapeutic follow-up sheet with medical records was used taking into account the profile of medicines usage during the hospital stay and the nature of the ADR if this occurred after the hospital admission. The criteria for evaluating the suspected cases of ADR were defined by causality and severity adopted by World Health Organization (WHO) having as technical support the Pharmacovigilance Center of Cearà (CEFACE). The medicines were classified in accordance with the ATC (anatomic-therapeutic-chemical) up to the principal therapeutic group and also were analyzed according to Beers and Canadian criteria and the four Swedish quality indicators of pharmacotherapy to older patients. The software used to analyze the data was the Microsoft Excel 2002 for Windows. The study was approved by the Research Ethics Committee of the University Federal of Ceara. In the set of the 50% patients admitted in the study 42% were men and 58% were women. Half of the elderly were in the range of 60 to 69 years old. Considering the Beers and Canadian criteria, 84% of the patients received inappropriate prescription medication. The study registered 17 medicines potentially inappropriate to elderly persons. Metoclopramide, mineral oil and diazepam were the most frequently prescribed, in this order. In relation to the adverse drug reactions 30% of the patients showed suspected RAM and 69% of those attempted the female sex. The medication class most often implicated with the emergence of ADR was the antithrombotics and the types of ADR most frequent were the gastrointestinal disturbs.\nIn the universe of followed patients a high percentage received inappropriate prescription medication giving evidence of the necessity of a better attendance of prescribing to older patient.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.073
GPT teacher head0.403
Teacher spread0.330 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same venuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)Same topicJapanese History and CultureFrench-language works237,207