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Record W1578872279

Use of Medicines by Community Dwelling Elderly in Ontario

2003· preprint· en· W1578872279 on OpenAlexaboutno aff
Peri J. Ballantyne, Joan A. Marshman, Philippa Clarke, J. Charles Victor

Bibliographic record

VenueRePEc: Research Papers in Economics · 2003
Typepreprint
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedical prescriptionMedicineContext (archaeology)Quarter (Canadian coin)Alternative medicineFamily medicineEnvironmental healthTraditional medicineGeographyNursing
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: Prescription medicine use by the elderly is of growing concern as indicated by a large literature focused on rising costs, patient compliance and the appropriateness of use. However, prescriptions account for only a portion of medicines used by the elderly, who have increasing access to non-prescription medicines and natural health products. The objective of this paper is to describe overall medicine use among the elderly in Ontario. METHODS: Using the National Population Health Survey (1996/97), we describe self-reported use of prescription, non-prescription and alternative medicines among elderly Ontarians aged 65+, and we compare use among four age sub-groups and by gender. Analysis is focused on the prevalence of, and the relative balance of use of different types of medicines. RESULTS: About one quarter of the respondents reported using no prescription or non-prescription medicines in the two days prior to being surveyed; a large majority reported using two or fewer medicines only, and use of non- prescription medicines was reported more often than prescription medicines (56% vs 48%). Use of natural health products by seniors is relatively low, but we observe a trend toward increased use in younger age groups. DISCUSSION: The findings place the consumption of prescription medicines by the elderly into a broader context that reveals that much of medicine use by the elderly involves non-prescribed products. We highlight the need to better understand seniors' decision-making regarding the different types of medicines available, and the financial costs and health risks of the medicine regimes of elderly persons.

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)0.001
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 score0.046
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.157
GPT teacher head0.381
Teacher spread0.224 · 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
Published2003
Admission routes1
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicComplementary and Alternative Medicine StudiesFrench-language works237,207