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Cost-effectiveness of Screening Strategies for Identifying Pediatric Diabetes Mellitus and Dysglycemia

En-Ling Wu, BA; Nayla G. Kazzi, BA; Joyce M. Lee, MD, MPH
JAMA Pediatr. 2013;167(1):32-39. doi:10.1001/jamapediatrics.2013.419.
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Published online

Objective  To conduct a cost-effectiveness analysis of screening strategies for identifying children with type 2 diabetes mellitus and dysglycemia (prediabetes/diabetes).

Design  Cost simulation study.

Setting  A one-time US screening program.

Study Participants  A total of 2.5 million children aged 10 to 17 years.

Intervention  Screening strategies for identifying diabetes and dysglycemia.

Main Outcome Measures  Effectiveness (proportion of cases identified), total costs (direct and indirect), and efficiency (cost per case identified) of each screening strategy based on test performance data from a pediatric cohort and cost data from Medicare and the US Bureau of Labor Statistics.

Results  In the base-case model, 500 and 400 000 US adolescents had diabetes and dysglycemia, respectively. For diabetes, the cost per case was extremely high ($312 000-$831 000 per case identified) because of the low prevalence of disease. For dysglycemia, the cost per case was in a more reasonable range. For dysglycemia, preferred strategies were the 2-hour oral glucose tolerance test (100% effectiveness; $390 per case), 1-hour glucose challenge test (63% effectiveness; $571), random glucose test (55% effectiveness; $498), or a hemoglobin A1c threshold of 5.5% (45% effectiveness; $763). Hemoglobin A1c thresholds of 5.7% and 6.5% were the least effective and least efficient (ranges, 7%-32% and $938-$3370) of all strategies evaluated. Sensitivity analyses for diabetes revealed that disease prevalence was a major driver of cost-effectiveness. Sensitivity analyses for dysglycemia did not lead to appreciable changes in overall rankings among tests.

Conclusions  For diabetes, the cost per case is extremely high because of the low prevalence of the disease in the pediatric population. Screening for diabetes could become more cost-effective if dysglycemia is explicitly considered as a screening outcome.

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Figures

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Figure 1. Screening effectiveness for diabetes (percentage of cases identified) plotted against screening efficiency (costs per case identified) from a societal perspective. A, Base-case analysis; B, alternative estimates of hemoglobin A1c (HbA1c) test performance. OGTT indicates oral glucose tolerance test.

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Grahic Jump Location

Figure 2. Screening effectiveness for dysglycemia (percentage of cases identified) plotted against screening efficiency (costs per case identified) from a societal perspective. A, Base-case analysis; B, alternative estimates of hemoglobin A1c (HbA1c) test performance. GCT indicates glucose challenge test; and OGTT, oral glucose tolerance test.

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