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Record W2002437771 · doi:10.4212/cjhp.v64i1.979

Completeness of Information Sources Used to Prepare Best Possible Medication Histories for Pediatric Patients

2011· article· en· W2002437771 on OpenAlexaffvenue
Deonne Dersch‐Mills, Kimberly Hugel, Martha Nystrom

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2011
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsAlberta Children's HospitalAlberta Health Services
Fundersnot available
KeywordsMedicineInterquartile rangeMedical prescriptionPharmacyDocumentationChartFamily medicinePediatricsMedical historyMedical recordEmergency medicineInternal medicineComputer science

Abstract

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doi: 10.4212/cjhp.v64i1.979ABSTRACTBackground: Medication reconciliation can reduce medication errors and mortality. With limited availability of clinical pharmacists, it is important to determine the resources that will yield the most complete information about a patient's medication history.Objective: To identify the most time-efficient sources of information about medication history for use by clinicians in a pediatric care setting.Methods: In July and August 2009, newly admitted pediatric patients (under 18 years of age) were identified, and a best possible medication history (BPMH) was compiled from the admission history in each patient's chart, a provincial prescription database, a community pharmacy record, and an "informed interview". Each individual source of information was compared with the BPMH and given a completeness score based on 3 pieces of information about each medication (name, dose, and frequency).Results: Data were collected for 99 pediatric patients. Of these, 76 (77%) were taking at least one medication, and 49 (50%) were taking at least one prescription medication. Among patients who were taking at least one medication, the informed interview, based on background information from other sources, resulted in the most comprehensive medication history, with a median completeness score of 100% (interquartile range [IQR] 90% to 100%). The admission history had a median completeness score of 33% (IQR 4% to 56%), with documentation of dose and frequency lacking most frequently. Information from community pharmacies had a median completeness score of 67% (IQR 42% to 87%), but this source was available for only 24 of the 99 patients. The prescription database was the least complete source, with a median completeness score of 0% (IQR 0% to 37%).Conclusion: An informed interview by a trained professional resulted in the most complete medication history. Admission histories represented the next most complete source. The data from this study indicated a need for education on the performance of medication reconciliation that would emphasize the use of all available background information, documentation of dose and frequency for each medication, and inclusion of both over-the-counter and herbal products.RÉSUMÉContexte : Le bilan comparatif des médicaments peut réduire les erreurs de médication et la mortalité. Étant donné la disponibilité limitée des pharmaciens cliniciens, il est important de déterminer les ressources qui permettront d'obtenir les renseignements les plus complets sur l'historique des médicaments d'un patient.Objectif : Déterminer les sources d'information les plus complètes sur l'historique des médicaments devant être utilisées par les cliniciens dans un milieu de soins pédiatriques.Méthodes : En juillet et août 2009, on a dressé une liste des enfants (de moins de 18 ans) nouvellement hospitalisés, puis le meilleur schéma thérapeutique possible (MSTP) a été établi à partir de l'anamnèse dans le dossier médical de chacun de ces patients, d'une base de données provinciale sur les ordonnances, du dossier de la pharmacie communautaire et d'une « entrevue éclairée ». Chaque source a été comparée avec le MSTP puis un score d'exhaustivité de l'information lui a été attribué en se fondant sur trois éléments d'information pour chaque médicament (nom, dose et fréquence d'administration).Résultats : Les données ont été recueillies chez 99 enfants. De ce nombre, 76 (77 %) prenaient au moins un médicament et 49 (50 %) prenaient au moins un médicament d'ordonnance. Parmi les patients qui prenaient au moins un médicament, l'entrevue éclairée des renseignements préliminaires provenant d'autres sources a permis d'obtenir l'historique médicamenteux le plus complet, avec un score d'exhaustivité médian de 100 % (écart interquartile [ÉIQ] de 90 % à 100 %). L'anamnèse a obtenu un score d'exhaustivité médian de 33 % (ÉIQ de 4 % à 56 %), les omissions les plus courantes étant la dose et la fréquence d'administration. Les dossiers des pharmacies communautaires ont obtenu un score d'exhaustivité médian de 67 % (ÉIQ de 42 % à 87 %), mais cette source n'était disponible que pour 24 des 99 patients. La base de données sur les ordonnances était la source la moins complète, avec un score d'exhaustivité médian de 0 % (ÉIQ de 0 % à 37 %).Conclusion : Une entrevue éclairée menée par un professionnel formé a permis d'obtenir l'historique des médicaments le plus complet. L'anamnèse constituait la deuxième source la plus complète. Les données de cette étude ont montré le besoin d'une formation sur l'éxécution du bilan comparatif des médicaments qui soulignerait le recours à tous les renseignements préliminaires disponibles, la consignation de la dose et de la fréquence d'administration de chaque médicament et l'inclusion des médicaments en vente libre et des produits à base de plantes médicinales.

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)0.014
metaresearch head score (Gemma)0.079
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 score0.014
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.079
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.008
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.130
GPT teacher head0.355
Teacher spread0.225 · 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".

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Citations16
Published2011
Admission routes2
Has abstractyes

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