Health state utility values for children and adolescents with type 1 diabetes: A systematic review and meta‐analysis
Bibliographic record
Abstract
BACKGROUND: Type 1 diabetes mellitus (T1DM) is one of the most burdensome chronic diseases in the world. Health utility values are an important tool for quantifying this disease burden and conducting cost-utility analyses. This review aimed to derive a reference set of health utility values for children and adolescents with T1DM. METHODS: We searched MEDLINE and Embase from inception to March 2023 for health utility values of T1DM children and adolescents (aged ≤18 years) measured using direct and indirect preference elicitation approaches. Utility estimates were pooled by meta-analyses with subgroup analyses to evaluate differences by populations and elicitation approaches. RESULTS: Six studies involving 1276 participants were included in this study. Meta-analysis showed the overall utility value of children and adolescents with T1DM was 0.91 (95% CI 0.89-0.93). The utility value of T1DM children and adolescents with complications was 0.90 (95% CI 0.88-0.92), which was lower than those without complications (0.96, 95% CI 0.95-0.97). The utility value of children (aged <13 years) was higher than adolescents (aged 13-18 years) (0.90 vs. 0.85). The utility value measured by the EQ-5D-3L (0.91) was higher than the HUI3 (0.89), the SF-6Dv1 (0.83), and the time trade-off (0.81). The parent proxy-reported was similar to the patient self-reported (0.91 vs. 0.91). CONCLUSIONS: This study developed a reference set of pooled utility estimates for children and adolescents with T1DM, which is helpful for understanding the overall health status of T1DM and conducting economic evaluations. Further studies are needed to explore the utilities of T1DM with different types of complications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.048 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.038 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".