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Record W4391152046 · doi:10.1016/j.rcsop.2024.100412

Self-care and minor ailments: The view from Canada

2024· article· en· W4391152046 on OpenAlexaffabout
Nardine Nakhla, Jeff Taylor

Bibliographic record

VenueExploratory Research in Clinical and Social Pharmacy · 2024
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsUniversity of SaskatchewanUniversity of Waterloo
Fundersnot available
KeywordsMinor (academic)Health careThrivingPharmacyPublic relationsPublic healthBusinessMedicineNursingPolitical sciencePsychology

Abstract

fetched live from OpenAlex

This manuscript offers a glimpse into the Canadian healthcare system, emphasizing the prevalence and management of minor ailments through self-care practices. The first section outlines the strengths and challenges of the healthcare system, including access issues and escalating costs. The second section explores self-care in Canada, outlines the Self-Care Readiness Index, and Canadians' proactive management of common conditions through self-care activities, including the use of over-the-counter (OTC) medicines. Consumer behaviors, preferences, and the thriving OTC market are discussed. It also discusses existing programs and initiatives encouraging self-care. While lacking a coordinated national strategy, various organizations, including Health Canada, have taken steps to regulate and promote self-care products. The role of pharmacies, industry groups, and public health campaigns in fostering self-care is explored, along with public access to OTC medicines, Rx-to-OTC switching, and consumer expectations related to such medicines. Factors influencing self-care and self-medication are explored, focusing on access to medical care, public perceptions of OTC medicines, and the public's ability to engage in appropriate actions. The crucial role of pharmacists in minor ailment care is examined. Insights are provided into Canada's healthcare landscape, emphasizing the significance of self-care in managing minor ailments. The public has access to many resources on how to engage in self-care and deal with minor ailments, but a formal system to promote them is lacking. The findings prompt considerations for future healthcare policies and public health campaigns, highlighting the evolving nature of healthcare practices in the nation.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.937
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.579
GPT teacher head0.593
Teacher spread0.014 · 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 designNot applicable
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

Citations7
Published2024
Admission routes2
Has abstractyes

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