Cost-effectiveness analysis of polycystic ovary syndrome management and the risk of gestational diabetes in pregnant women: a decision-tree model
Abstract
ABSTRACT Background This study estimated the cost-effectiveness of metformin to reduce the risk of gestational diabetes mellitus (GDM) in pregnant women with polycystic ovary syndrome (PCOS) from the US health-care payer perspective. Methods A decision tree was developed to simulate the progression of PCOS in a hypothetical cohort of 10,000 pregnant women diagnosed with PCOS and two scenarios were tested. Normal glucose regulation without developing GDM, average cost-effectiveness ratios (ACER), and the incremental cost-effectiveness ratios (ICERs) were the outcome measures assessed through pregnancy. Evidence from randomized clinical trials and other published literature were used to assess disease progression and its associated health-care costs. Sensitivity analyses that varied key model parameters were conducted. Results Management of PCOS with metformin was associated with lowest ACER ($669.78 per normal glucose regulation without GDM) as compared to ‘no intervention’ strategy. Metformin use is the most cost-effective strategy to manage PCOS during pregnancy with average cost savings of $7,593,372.97 and an average effect gain of 2271 of normal glucose regulation without GDM among pregnant women with PCOS. Sensitivity analyses determined that the results are robust. Conclusions Management of PCOS during pregnancy may be a cost-effective strategy to reduce GDM risk and its associated complications.
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 10,000 participants or records.
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