MétaCan
Menu
Back to cohort
Record W2103363641 · doi:10.1377/hlthaff.2009.0799

German Diabetes Management Programs Improve Quality Of Care And Curb Costs

2010· article· en· W2103363641 on OpenAlex
Stephanie Stock, Anna Drabik-Chamerska, Guido Büscher, Christian Gräf, Walter Ullrich, Andreas Gerber, Karl W. Lauterbach, Markus Lüngen

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealth Affairs · 2010
Typearticle
Languageen
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsBarrick Gold (Canada)Institute of Health Economics
Fundersnot available
KeywordsGermanDisease managementMedicineVendorChronic diseaseDiabetes mellitusDiseaseFamily medicineHealth careChronic careScale (ratio)Case managementQuality managementMEDLINEGerontologyNursingBusinessOperations managementManagement systemMarketingInternal medicinePolitical science

Abstract

fetched live from OpenAlex

This paper reports the results of a large-scale analysis of a nationwide disease management program in Germany for patients with diabetes mellitus. The German program differs markedly from "classic" disease management in the United States. Although it combines important hallmarks of vendor-based disease management and the Chronic Care Model, the German program is based in primary care practices and carried out by physicians, and it draws on their personal relationships with patients to promote adherence to treatment goals and self-management. After four years of follow-up, overall mortality for patients and drug and hospital costs were all significantly lower for patients who participated in the program compared to other insured patients with similar health profiles who were not in the program. These results suggest that the German disease management program is a successful strategy for improving chronic illness care.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score0.535

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.367
Teacher spread0.345 · 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