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Record W2943659325 · doi:10.1136/bmjebm-2018-111070.79

79 The impact of orthodontic treatment regulation in the german public health sector on the overuse of orthodontic services

2018· article· en· W2943659325 on OpenAlexaff
Alexander Spassov, Bernard Braun, Dragan Pavlović, Hartmut Bettin

Bibliographic record

VenueOral Presentations · 2018
Typearticle
Languageen
FieldHealth Professions
TopicMedical Practices and Rehabilitation
Canadian institutionsCapital District Health Authority
Fundersnot available
KeywordsGermanHealth carePublic sectorNegotiationMedicinePublic healthPopulationQuality (philosophy)Family medicinePublic health insuranceBusinessNursingEnvironmental healthHealth insuranceGeographyEconomic growthPolitical science

Abstract

fetched live from OpenAlex

Objectives The provision of orthodontic (dental) care is part of the German Public Health sector comprising 90% of German population. The current regulations for the provision of orthodontic care in the public sector have been adopted in 2004 as a negotiation-process between providers and public health insurance companies without patient participation. To date patient-related data on the impact of the 2004 regulation on the quality and quantity of orthodontic services are lacking. In addition, patients (mostly adolescents) preferences and perceptions toward orthodontic treatment are almost unknown. Therefore, we first examined the content of the 2004 regulations in terms of formal criteria for treatment access, diagnostic and treatment guidelines as well as treatment duration. Secondly, we analyzed medical health record data to obtain information on real utilization of orthodontic services as diagnostic and treatment procedures. Finally we examined patient’s preferences and their role in the decision-making process. Method In the first stage we examined the formal criteria of the regulation of orthodontic services regarding treatment access, appropriateness criteria for diagnostic and treatment procedures as well as quality control. In the second stage we surveyed adolescents aged 10 to 14 years (n=2.991, 29% response rate) insured by a public health care insurance company before or at the beginning of treatment related to their perceptions of toward orthodontic treatment need using validated and standardized questionnaires. Finally, in the third stage we analyzed medical record data of patients undergoing orthodontic treatment from 2012–2017 (n=5.514) insured by a second, independent public health care insurance company to obtain quantitative data on the real utilization of detailed orthodontic services including diagnostic records, treatment procedures, costs as well as treatment duration time. Results Treatment guidelines adopted 2004 are mandatory for both providers and insurance companies. They regulate access through objective criteria and define criteria for the use of diagnostic and treatment procedures. Parallel guidelines adopted simultaneously regulate payment system and quality control. The described regulation has following impact on utilization of orthodontic services: Diagnostic procedures as panoramic X-ray and cephalograms were performed routinely (85%–90%) although their use is limited to defined diagnoses according to radiation guidelines and should not exceed 30%. About 64% of the patients received removable appliances despite their inappropriateness and inefficiency in comparison to fixed appliances. The mean treatment duration time was 36 months given that the published standard for a mean duration should be no longer than 18–20 months. Dentists were reported (81% of respondents) to be the primary driver for patients to start treatment. 93% of the patients reported to no complaints before starting treatment. Conclusions The use of inappropriate diagnostic and treatment procedures as well as prolonged treatment duration indicate overuse of orthodontic services in German public health sector. As diagnostic and treatment procedures are strictly regulated by treatment guidelines adopted by provides and public health insurance companies the overuse of orthodontic services seems to be driven by regulators, health authorities and providers.

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)0.006
metaresearch head score (Gemma)0.014
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 score0.069
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.269
GPT teacher head0.547
Teacher spread0.278 · 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
Published2018
Admission routes1
Has abstractyes

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