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Record W2312830850 · doi:10.1089/thy.2014.0495

National Trends and Factors Associated with Hospital Costs Following Thyroid Surgery

2015· article· en· W2312830850 on OpenAlex
Vincent L. Biron, Heejung Bang, D. Gregory Farwell, Arnaud F. Bewley

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.

Bibliographic record

VenueThyroid · 2015
Typearticle
Languageen
FieldMedicine
TopicThyroid and Parathyroid Surgery
Canadian institutionsUniversity of Alberta HospitalUniversity of Alberta
FundersNational Center for Advancing Translational SciencesNational Institutes of Health
KeywordsMedicineThyroidectomyHealthcare Cost and Utilization ProjectEmergency medicineComorbidityThyroidThyroid diseaseRetrospective cohort studyHealth careDemographySurgeryEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Medical costs in the United States have been increasing disproportionally to gross domestic product, raising concerns about the sustainability of U.S. healthcare expenditures. Care of patients with thyroid disease has been identified as an area of medicine where cost increases have been pronounced. OBJECTIVES: The goals of this study were to identify potential drivers of the cost of hospitalization following thyroid surgery, and to understand which of these factors may be contributing to observed increases in cost from 2003 to 2011. METHODS: A retrospective cross-sectional analysis of discharge data from the Nationwide Inpatient Sample (NIS) database for all admissions following thyroid lobectomy or total thyroidectomy in the years 2003, 2007, and 2011 was performed. Multiple regression analysis via a weighted generalized linear model was used to identify factors that were independently associated with high cost of hospitalization. Trend as well as subgroup analyses were then performed to identify which of these factors could be contributing to increasing costs. RESULTS: There were 47,854 hospital admissions following total thyroidectomy or thyroid lobectomy identified in the years 2003, 2007, and 2011. The aggregate national cost of hospitalization increased from $198 million in 2003 to $373 million in 2011 in inflation-adjusted 2011 dollars. The weighted mean cost of hospitalization following thyroid surgery increased from $6154 to $8982 from 2003 to 2011 in inflation-adjusted 2011 dollars. Higher comorbidity score, total thyroidectomy, lymphadenectomy, western region, rural region, and certain postoperative complications were the factors most highly associated with increased hospital costs. Of these, an increasing proportion of patients with higher severity of illness score and an increasing proportion of patients undergoing total thyroidectomy and lymphadenectomy were implicated as the most likely contributors to the cost increases. The rate of total thyroidectomy and lymphadenectomy was found to be increasing for patients with both benign and malignant thyroid disease. CONCLUSIONS: According to the NIS data set, costs associated with hospitalization after thyroid surgery increased markedly from 2003 to 2011. This increase could be in part due to a growing proportion of sicker patients undergoing more extensive surgery, but a number of confounders in this study limit the conclusions. Further analysis of factors that could be associated with the rising costs of inpatient thyroid surgery should be undertaken.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.041
GPT teacher head0.272
Teacher spread0.232 · 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