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Record W2911326384 · doi:10.1007/s00192-018-3814-0

Heterogeneity of cost estimates in health economic evaluation research. A systematic review of stress urinary incontinence studies

2019· review· en· W2911326384 on OpenAlexaboutno aff
Arnoud W. Kastelein, Joost G. Daams, Jan‐Paul Roovers, Brent C. Opmeer

Bibliographic record

VenueInternational Urogynecology Journal · 2019
Typereview
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsnot available
FundersHorizon 2020 Framework ProgrammeEuropean Commission
KeywordsMedicineUrinary incontinencePsychological interventionMEDLINEHealth careSystematic reviewGuidelineSurgeryNursing

Abstract

fetched live from OpenAlex

INTRODUCTION AND HYPOTHESIS: There is increased demand for an international overview of cost estimates and insight into the variation affecting these estimates. Understanding of these costs is useful for cost-effectiveness analysis (CEA) research into new treatment modalities and for clinical guideline development. METHODS: A systematic search was conducted in Ovid MEDLINE & other non-indexed materials and Ovid Embase for articles published between 1995 and 2017. The National Health Service Economic Evaluation Database (NHS-EED) filter and the McMaster sensitive therapy filter were combined with a bespoke search strategy for stress urinary incontinence (SUI). We extracted unit cost estimates, assessed variability and methodology, and determined transferability. RESULTS: We included 37 studies in this review. Four hundred and eighty-two cost estimates from 13 countries worldwide were extracted. Descriptive analysis shows that hospital stay in gynecology ranged between €82 and €1,292 per day. Costs of gynecological consultation range from €30 in France to €158 in Sweden. In the UK, costs are estimated at €228 per hour. Costs of a tension-free vaginal tape (TVT) device range from €431 in Finland to €994 in Canada. TVT surgery per minute costs €25 in France and €82 in Sweden. Total costs of TVT range from €1,224 in Ireland to €5,809 for inpatient care in France. Variation was explored. CONCLUSIONS: Heterogeneity was observed in cost estimates for all units at all levels of health care. CEAs of SUI interventions cannot be interpreted without bias when the base of these analyses-namely costs-cannot be compared and generalized.

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)0.007
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.026
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.224
GPT teacher head0.532
Teacher spread0.309 · 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 designSystematic review
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

Citations24
Published2019
Admission routes1
Has abstractyes

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