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Record W7162080178 · doi:10.82308/28362

A cost-effectiveness and cost-utility study of lung transplants /

2003· dissertation· en· W7162080178 on OpenAlexaboutno aff
Helen‐Maria Vasiliadis

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsCohortWaiting listRegimenCost–utility analysisHealth careWaiting periodCost–benefit analysisMedical careLung transplantation

Abstract

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Introduction. Lung recipients are faced with life-threatening complications which may impede in reaching an acceptable overall clinical and HRQOL level. Furthermore, the reported costs associated with the rigid follow-up care and expensive drug regimen raises the question whether this intervention is cost-effective. Objectives. To determine the incremental cost-effectiveness (C/E) and cost-utility (C/U) of lung transplantation (L-Tx) according to the health system perspective. Methods. A C/E and C/U analysis of L-Tx was carried out on 124 patients accepted unto the Quebec L-Tx waiting list (1997--2001). Survival was presented in mean life years (LY). HRQOL and utility were assessed using the SF-36 and standard gamble; they were studied cross-sectionally and longitudinally on a group of patients. Utility was used in the computation of the QALY. The economic impact of L-Tx was based on direct medical costs for 3 time periods: the waiting list, the transplant procedure and post-transplant phase. In the incremental C/E and C/U ratio, the costs for the procedure and follow-up care were compared to those during the waiting list, which served as an estimate for costs without transplantation. Estimates were modeled beyond the study period based on registry data. Simulating different person-time experiences during the waiting time (1 to 6 years) and post-transplant phase (1 to 8 years) tested key assumptions. Costs were based on provincial and national data and were discounted at a rate of 5%. Results. The estimates were based on the 1,090.0 and 1,421.5 person-months contributed by the cohort (N = 124) to the waiting list and post-transplant phase (N = 91), respectively. The mean LYs and QALYs gained were 0.57 (95% CI: 0.36--0.78) and 0.62 (95% CI: 0.36--0.78), respectively. HRQOL was higher on average for all domains in lung recipients versus candidates. Utility scores were also higher in recipients as compared to candidates: 0.76 (95% CI: 0.69, 0.83) versus 0.17 (95% CI: 0.12, 0.22). The estimated total average cost per patient without Tx was $15,015 or $1,708 (95% CI: $1,327--$2,090) per month. The L-Tx program induced an additional screening cost of $9,622 per patient. The average cost of a transplant procedure was $49,314 (95% CI: $39,216--$69,465). The average post-Tx follow-up cost per patient per month in the first, second, third and fourth year was $2,804 ($1,840--$3,792), $1,643 ($1,090--$2,291), $1,749 ($804--$2,690) and $971 ($768--$1,175), respectively.

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)0.006
metaresearch head score (Gemma)0.017
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 score0.028
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.072
GPT teacher head0.423
Teacher spread0.351 · 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

Citations0
Published2003
Admission routes1
Has abstractyes

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