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Record W2151285880 · doi:10.1002/lary.25656

Productivity costs decrease after endoscopic sinus surgery for refractory chronic rhinosinusitis

2015· article· en· W2151285880 on OpenAlexaff
Luke Rudmik, Timothy L. Smith, Jess C. Mace, Rodney J. Schlosser, Peter H. Hwang, Zachary M. Soler

Bibliographic record

VenueThe Laryngoscope · 2015
Typearticle
Languageen
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsUniversity of Calgary
FundersNational Institute on Deafness and Other Communication DisordersNational Institutes of Health
KeywordsMedicinePresenteeismAbsenteeismProductivityRefractory (planetary science)Chronic rhinosinusitisObservational studySick leaveSurgeryPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES/HYPOTHESIS: The primary objective of this pilot study was to define the change in productivity costs following endoscopic sinus surgery (ESS) for chronic rhinosinusitis (CRS). Secondary objectives were to identify CRS-related characteristics that may influence the degree of productivity improvement after ESS. STUDY DESIGN: Prospective, multi-institutional, observational cohort study. METHODS: The human capital approach was used to define productivity costs. Annual absenteeism, presenteeism, and lost leisure time were quantified to define annual lost productive time (LPT). LPT was monetized using the annual daily wage rates obtained from the 2012 US Census and the 2013 US Department of Labor statistics. RESULTS: Twenty-seven patients with refractory CRS who underwent ESS were followed for a mean of 15 months (range, 8-25 months). Following ESS, there were improvements in annual absenteeism (22 days reduced to 3 days), annual presenteeism (41 days reduced to 19 days), and annual household days lost (12 days reduced to 6 days). Overall, the preoperative productivity costs were reduced after ESS ($9,190 vs. $3,373, respectively; P < .001). CONCLUSIONS: Daily productivity is negatively impacted by the presence of CRS. The outcomes from this study provide the first insights into the reduced productivity costs associated with receiving ESS for refractory CRS. Future studies with larger sample sizes will need to validate the results from this pilot study. LEVEL OF EVIDENCE: 2c Laryngoscope, 126:570-574, 2016.

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)0.001
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 score0.582
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.035
GPT teacher head0.290
Teacher spread0.254 · 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

Citations51
Published2015
Admission routes1
Has abstractyes

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