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Record W4388750763 · doi:10.1016/j.rcsop.2023.100373

Medicine education in a pediatric oncology setting: What can we do better?

2023· article· en· W4388750763 on OpenAlexafffund
Sean McClintock, Derek MacDonald, Tamara MacDonald

Bibliographic record

VenueExploratory Research in Clinical and Social Pharmacy · 2023
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
FundersC17 Children's Cancer and Blood DisordersChildhood Cancer CanadaIWK Health Centre
KeywordsMedicineComprehensionFamily medicinePharmacistHealth careAnxietyNursingPharmacyPsychiatry

Abstract

fetched live from OpenAlex

Background: When patients feel more involved in their care, there tends to be a higher rate of adherence and improved health outcomes. This can be more difficult to achieve in pediatric care since children have varying levels of medicine comprehension and parents are an integral component of the child's learning. Objectives: This study aimed to determine the satisfaction of children and families being treated for cancer with their medicine education and determine areas for improvement. Methods: = 9) to assess the current method of medicine education delivery. Results: Families reported increased stress and anxiety levels at the time of diagnosis, negatively impacting their information retention. Patients, families, and healthcare providers reported inconsistent education delivery, including varying amounts of information throughout the treatment and inconsistencies between providers, such as medication names. Parents mentioned a desire for a more consistent and standardized delivery of medicine education, which was found to be helped by a pharmacist-led approach. Receiving supplemental written materials to support verbal education helped with learners' understanding and information retention. Ensuring that the parents are comfortable and familiar with the medicines is a significant component of medicine teaching in pediatric care because they are often responsible for the child's medications and their children see them as a trusted source of information. Ensuring parents' needs are met translates to improved medicine adherence for children with cancer. Conclusion: Medicine education should occur sometime post-diagnosis once the patient/family has had time to adjust and the anxiety lessens. Medicine education should be given as consistently as possible by a recurring member of the care team, ideally the pharmacist. The learners' ability to understand and retain information should be individually assessed to determine the delivery of medicine education. Motivating and empowering learners, including children, through frequent medicine encounters could help improve adherence, patient health outcomes, and quality of life and make them more self-managing throughout life.

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)0.014
metaresearch head score (Gemma)0.001
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 score0.365
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.415
GPT teacher head0.597
Teacher spread0.182 · 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

Citations3
Published2023
Admission routes2
Has abstractyes

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