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Burden of Atopic dermatitis in Canada

2004· article· en· W2156379632 on OpenAlexafffundabout
M Barbeau, Hélène Lalonde Bpharm

Bibliographic record

VenueInternational Journal of Dermatology · 2004
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsNovartis (Canada)
FundersNovartis Pharmaceuticals Canada
KeywordsMedicineAtopic dermatitisDermatologyMEDLINE

Abstract

fetched live from OpenAlex

BACKGROUND: Atopic dermatitis (AD) is relatively common worldwide; costs associated with the disease have been reported recently for various countries, but no estimates of costs in Canada are currently available. The objective of this study was to estimate the costs associated with AD in Canada, assessed from resource use determined for a Canadian setting. METHODS: Seventy-six patients in Ontario with AD were surveyed to determine information about severity of disease, healthcare practitioner visits, over-the-counter medication use, household expenses and absenteeism relating to their condition. Based on this information, costs were determined based on the Ontario billing schedule, estimated prescription use, reported out-of-pocket expenses and stated family income. Data about sleep disturbance and concern over topical corticosteroid use were also obtained. RESULTS: Patients reported an average of 3.6 publicly funded doctor visits per year for AD; 58% of these visits were to general practitioners and 28% to dermatologists. The annual per patient expenditure was estimated to be 282, 454 Canadian dollars and 1242 Canadian dollars for patients with mild, moderate and severe AD, respectively. The total cost of AD in Canada was estimated to be 1.4 billion Canadian dollars annually. More than half of the patients experienced sleep disturbances owing to their condition, and 71% reported having concerns about topical corticosteroid use. CONCLUSIONS: Although the cost per patient of AD in Canada is relatively low, owing to the prevalence of the disease, the total cost to society is large. Most of the cost is borne by patients and their employers, primarily owing to indirect costs associated with absenteeism.

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)0.000
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 score0.258
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.008
GPT teacher head0.263
Teacher spread0.256 · 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

Citations85
Published2004
Admission routes3
Has abstractyes

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