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Record W2404161963 · doi:10.1177/1715163516651278

Are peak flow meters readily available in community pharmacies?

2016· article· en· W2404161963 on OpenAlexaffvenueabout
Hoan Linh Banh, Elaheh Ahmadi, Andrew Cave

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2016
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPeak flow meterAsthmaMedicinePharmacyAction planAsthma attackMedical prescriptionAction (physics)Veterans AffairsFamily medicineInternal medicineNursing

Abstract

fetched live from OpenAlex

A written asthma action plan is a set of instructions for patients to treat their asthma symptoms during exacerbations to reduce the need for physician consultation and to expedite upgrading of therapy. Use of a symptom-based written asthma action plan has been proven to reduce hospitalization.1,2 A peak flow meter is a portable, user-friendly, handheld device that measures the air flow in the bronchi. Currently, written asthma action plans from most national bodies such as the Canadian Lung Association, the National Institute of Health, and the Family Physician Airway Group of Canada include symptoms and peak flow meter reading as measures of asthma control. Inconsistencies are found in written asthma plans, which usually include symptoms and may or may not include peak flow meter readings. A recent study identified 69 unique English-language or French-language asthma plans for adults in Canada.3 Despite this variation, many written action plans use symptom tracking and peak flow readings.3,4 Evidence has shown that asthma action plans that include peak flow meter assessment based on previous personal best readings consistently improved asthma outcome.5 Recently, we have noted that patients are having difficulties filling prescriptions for peak flow meters in Alberta. We contacted 9 local community pharmacies, and only 1 had a peak flow meter on hand. If obtaining a peak flow meter for patients poses difficulties, it is unlikely to encourage adherence to any action plan that includes peak flow meter readings. The primary goal of the study was to determine the proportion of community pharmacies in Alberta that stock peak flow meters. The secondary objectives were (1) to determine how many pharmacies would order a peak flow meter for a patient if they did not have one in the pharmacy and (2) to determine whether pharmacists are able to provide instructions to patients on how to use a peak flow meter.

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)0.002
metaresearch head score (Gemma)0.009
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 score0.442
Threshold uncertainty score0.890

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.048
GPT teacher head0.281
Teacher spread0.233 · 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

Citations3
Published2016
Admission routes3
Has abstractyes

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