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Record W4416706283 · doi:10.1055/s-0043-1776673

Stucture of Level I Perinatal Centers in Germany – can we learn from Canada?

2023· article· de· W4416706283 on OpenAlexaboutno aff
Christina Kouskouti, F. Kainer

Bibliographic record

VenueZeitschrift für Geburtshilfe und Neonatologie · 2023
Typearticle
Languagede
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsnot available
Fundersnot available
KeywordsMEDLINECenter (category theory)Feature (linguistics)Work (physics)

Abstract

fetched live from OpenAlex

Introduction Perinatal Centers play a crucial role in providing specialized care to high-risk pregnancies and newborns. In Germany, perinatal centers are classified into three levels based on their capacity to provide specialized care. Level III centers provide basic care, while Level I centers offer the highest level of care. In most other countries, including Canada, this classification is the opposite, with Level III centres providing the highest level of specialised care. We aim to explore the structure of Level I perinatal centers in Germany and compare it with the Canadian model to identify potential areas for improvement. Materials and Methods We present a comparative analysis of the structure of specialised high care perinatal centers in Germany and Canada based on the personal experience of the first author: experience of the German system through basic (Obstetrics & Gynaecology) and specialised (Perinatal Medicine) training over 8 years in Germany followed by 2 years of Clinical Fellowship (Maternal Fetal Medicine) in one of the largest tertiary Perinatal Centers in Canada. This analysis focuses on the organizational structure, staffing, training, and services provided by high care Perinatal Centers in both countries. Results Both Germany and Canada have a tiered system of perinatal care, with Level I Centers in Germany and Level III Centers in Canada providing the highest level of care. However, the Canadian model emphasizes regionalization of care, with a smaller number of high-volume centers, while the German model focuses on decentralization, with a larger number of lower-volume centers. In the Canadian system, the medical doctor has mostly a consulting, supervising role of various highly specialised trained medical professionals (various levels of nursing, sonographers etc) who fulfil a large part of the clinical work, whereas in Germany the medical doctors are mostly solely responsible for all clinical tasks. The Canadian model also places greater emphasis on multidisciplinary teams, standardized protocols and structured training. Discussion The Canadian model may offer some advantages over the German model in terms of efficiency, allocation of resources and quality of high end specialised care. However, the German model may be better suited to the country's decentralized healthcare system and regional variations in population density. In view of the upcoming hospital reform in Germany, it would be important to try to gain insight from the medical systems of other developed countries. Publication History Article published online: 15 November 2023 © 2023. Thieme. All rights reserved. Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, Germany

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)0.002
metaresearch head score (Gemma)0.009
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 score0.068
Threshold uncertainty score0.490

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0050.002
Scholarly communication0.0050.002
Open science0.0030.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.071
GPT teacher head0.369
Teacher spread0.298 · 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".

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Citations0
Published2023
Admission routes1
Has abstractno

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