Direct and indirect health economic impact of hypoglycaemia in a global population of patients with insulin-treated diabetes
Bibliographic record
Abstract
AIMS: The Hypoglycaemia Assessment Tool (HAT) study investigated the health economic impact of hypoglycaemic events in 24 countries, including countries without previously published data on hypoglycaemia. METHODS: Self-assessment questionnaires and patient diaries (4-week prospective period) were completed by adults with type 1 (T1D) or type 2 diabetes (T2D) treated with insulin for more than 12 months (N = 27,585). RESULTS: Direct economic impacts of hypoglycaemia during the 4-week prospective period, included increased blood glucose monitoring (reported by 69.7% [T1D] and 60.9% [T2D] of patients), hospitalisation (T1D 2.1%; T2D 3.4% of patients) and medical contact (clinic or telephone; T1D 3.8%; T2D 6.8% of patients). Regional variation in medical contact and hospitalisation was found, with the highest usage in Russia (T1D 17.1%; T2D 17.3%), and Latin America (T1D 5.2%; T2D 6.8%) respectively. Indirect economic impacts following hypoglycaemia included loss of productivity due to absence from work or study; 3.9% (T1D) and 6.2% (T2D) of patients. Regional differences in work productivity were noted among patients with T2D, with a low prevalence in Northern Europe and Canada (0.9%) and high in Southeast Asia (14.6%). CONCLUSIONS: This study shows that hypoglycaemia has a significant but variable impact on the economics of diabetes healthcare globally.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".