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Measuring productivity loss days in asthma patients

2000· article· en· W2170313513 on OpenAlex
Wendy J. Ungar, Peter C. Coyte, The Pharmacy Medication Monitoring

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Economics · 2000
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster UniversitySt. Joseph's HospitalUniversity of Toronto
Fundersnot available
KeywordsAsthmaProductivityMedicineWageDemographyDiseaseAbsenteeismGerontologyPhysical therapyInternal medicinePsychologyEconomicsLabour economics

Abstract

fetched live from OpenAlex

In assessments of the cost of illness, productivity losses potentially constitute a large proportion. The present study objective was to develop a method to measure restricted days and to quantify total productivity loss days (PLDs) in adult asthma patients. Patient and disease characteristics, occupation, annual wage, work absences, restricted days, level of functioning on restricted days, and travel and waiting time were collected over 6 months in 892 adult asthma outpatients residing in southern Ontario. Annual PLDs varied from 12 in employed persons to 49 in disability pensioners. Homemakers reported 22 PLDs per year. Restricted days accounted for most PLDs and functional level during restricted days varied from 55% to 81%. Annual PLDs increased with increasing disease severity. Employed persons experienced the fewest PLDs and functioned at the highest level during restricted days, but also demonstrated a milder disease compared with other groups. Most productivity loss in asthma patients resulted from numerous restricted days, a category of PLD that is often ignored in economic assessments. The presentation of PLD results disaggregated by category of time loss and wage rate may provide valuable information to employers and health policy makers and may facilitate the application of multiple approaches to the calculation of indirect costs.

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.

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)0.014
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.005

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 head0.352
GPT teacher head0.390
Teacher spread0.038 · 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