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Record W56895247

Impact of a policy allowing for over-the-counter statins.

2010· article· en· W56895247 on OpenAlexaboutno aff
Arch G. Mainous, Richard Baker, Charles J. Everett, Dana E. King

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicMedication Adherence and Compliance
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOver-the-counterReferralMedical prescriptionStatinSimvastatinCoronary heart diseasePopulationFamily medicineAlternative medicineInternal medicineEnvironmental healthPharmacology
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: allowing statins to be sold without a prescription has been widely debated in Great Britain, Canada and the USA. AIMS: To examine the impact of the recent policy in Great Britain allowing patients to purchase over-the-counter (OTC) 10 mg dose of a cholesterol-lowering drug (simvastatin) on meeting the needs of individuals at moderate risk of coronary heart disease (CHD). METHODS: we undertook an analysis of adults (aged >20 years) in the nationally representative 2006 Health Survey for England (HSE, n =10 007). We evaluated the proportion of individuals using OTC statins among all adults aged 20 years and over and among individuals eligible for them according to current guidelines. RESULTS: among adults in the HSE, 44.1% met the criteria for referral to a general practitioner for CHD risk, 9.7% were eligible for OTC statins and 46.1% did not meet the eligibility for prescribed or OTC statin therapy. Less than 1% (0.7%) were taking OTC statins. The proportion of individuals using OTC statins among those eligible for them was low and comparable to that in the overall population (0.2%). Among those taking OTC statins, 71.5% were also taking prescribed lipid lowering agents. CONCLUSION: these results suggest that the aim of addressing the treatment gap among individuals at moderate risk by offering access to OTC statins has not been achieved two years after the implementation of the policy.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.239

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.036
GPT teacher head0.351
Teacher spread0.314 · 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

Citations8
Published2010
Admission routes1
Has abstractyes

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