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Record W2079956848 · doi:10.1097/gco.0b013e3283373c13

Economics of assisted reproductive technologies

2010· review· en· W2079956848 on OpenAlexaff
Barış Ata, Emre Seli

Bibliographic record

VenueCurrent Opinion in Obstetrics & Gynecology · 2010
Typereview
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsReimbursementAssisted reproductive technologyMedicineHealth carePregnancyEconomic growthInfertilityEconomics

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: To give an overview of the economic aspects of assisted reproductive technologies (ART) and assess the implications of economic factors for utilization and practice of ART. RECENT FINDINGS: The out-of-pocket expenses for the couple seem to be the key determinant of ART utilization. Countries with reimbursement plans, which minimize out-of-pocket expenses, achieve the highest ART utilization rates. The economic burden of ART on national healthcare expenditure is modest even for countries offering the most generous reimbursement policies. Downstream costs of ART arise from multiple pregnancies and associated prematurity-related complications. These costs can outweigh the cost of ART itself. Public reimbursement plans accompanied by strict regulations for number of embryos to be transferred seem to increase not only ART utilization rates but also the uptake of single embryo transfers. SUMMARY: Although ART is expensive for individuals, it is affordable for the society, at least in the industrialized world. Public reimbursement relieves the pressure on both the physicians and the patients for achievement of pregnancy with the minimum number of treatment attempts, consequently leading to a decrease in the number of embryos transferred and in multiple pregnancies.

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)0.048
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.992
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.048
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
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 head0.158
GPT teacher head0.426
Teacher spread0.268 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations32
Published2010
Admission routes1
Has abstractyes

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