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Tympanostomy tube insertion practice in under-18-year-olds in the South African private healthcare sector insured by Discovery Health

2019· article· en· W2947247400 on OpenAlexaboutno aff
E Samson, Geoffrey Quail, Shazia Peer, Johannes J. Fagan

Bibliographic record

VenueSouth African Medical Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicEar Surgery and Otitis Media
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHealth carePrivate sectorPrivate practiceFamily medicineNursingEconomic growth

Abstract

fetched live from OpenAlex

BACKGROUND: The reported rates of tympanostomy tube insertion (TTI) in children vary significantly internationally. Lack of adherence to evidence-based clinical guidelines may contribute to these differences. OBJECTIVES: To study the rates of TTI in South Africa (SA) in children ≤18 years old in the private healthcare sector, both nationally and regionally, to compare these with international TTI rates, and to determine the use of preoperative audiometry and tympanometry. METHODS: A retrospective analysis was done of data obtained from the Discovery Health database. Rates of TTI were analysed nationally and regionally and in different age groups, as was the use of tympanometry and audiograms. RESULTS: The SA TTI rates were much higher than published international rates except for the 0 - 1-year age group in Canada and Denmark and the 0 - 15-year age group in Denmark. There was a statistically significant regional variation in TTI rates as well as in the use of preoperative audiometry and tympanometry. CONCLUSIONS: SA private sector TTI rates are high by international standards. Significant regional variations may indicate over- or underservicing in certain regions. Further investigation of causes for the high TTI rate and regional variations is recommended. Education of healthcare professionals on recognised indications for TTI may improve patient selection.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.020
GPT teacher head0.292
Teacher spread0.271 · 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.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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