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Record W4224062563 · doi:10.1055/a-1791-1276

Kompensation von Leistungen zwischen Hausärzten und Kinder- und Jugendmedizinern am Beispiel der Früherkennungsuntersuchungen bei Kindern und Jugendlichen – Analyse von bundesweiten KBV-Daten

2022· article· de· W4224062563 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDas Gesundheitswesen · 2022
Typearticle
Languagede
FieldHealth Professions
TopicHealth and Medical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEconomic shortageFamily medicineStatutory lawHealth insuranceQuarter (Canadian coin)Health careGeographyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Despite a 13.1% increase in the number of pediatricians between 2011 - 2020, the capacity of pediatric care has largely stagnated. This is due to increasing flexibility in working hours and a declining willingness of doctors to establish practices. In addition, there is an imbalance in the distribution of pediatric medical care capacities. While metropolitan areas are often characterized by oversupply, there is an increasing shortage of pediatricians, especially in rural areas. As a result, general practitioners in rural areas are increasingly taking over part of pediatric care. We quantify this compensation effect using the example of examinations of general health and normal child development (U1-U9). METHODS: Basis of the analysis was the Doctors' Fee Scale within the Statutory Health Insurance Scheme (Einheitlicher Bewertungsmaßstab, EBM) from 2015 (4th quarter). Nationwide data from the National Association of Statutory Health Insurance Physicians (KBV) for general practitioners and pediatricians from 2015 was evaluated. In the first step, the EBM was used to determine the potential overlap of services between the two groups of doctors. The actual compensation between the groups was quantified using general health and normal child development as an example. RESULTS: In section 1.7.1 (early detection of diseases in children) of the EBM, there is a list of 16 options for services that can be billed (fee schedule positions, GOP) by general practitioners and pediatricians. This particularly includes child examinations U1 to U9. The analysis of the national data of the KBV for the early detection of diseases in children showed significant differences between rural and urban regions in the billing procedure. Nationwide, general practitioners billed 6.6% of the services in the area of early detection of diseases in children in 2015. In rural regions this share was 23% compared to 3.6% in urban regions. The analysis of the nationwide data showed that the proportion of services billed by general practitioners was higher in rural regions than in urban regions. CONCLUSION: The EBM allows billing of services by both general practitioners and pediatricians, especially in the area of general GOP across all medical groups. The national billing data of the KBV shows that general practitioners in rural regions bill more services from the corresponding sections than in urban regions.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.630
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.003
Science and technology studies0.0110.001
Scholarly communication0.0000.001
Open science0.0030.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0040.004

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 head0.078
GPT teacher head0.428
Teacher spread0.350 · 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