Economic resources consumption structure in severe hypoglycemia episodes: a systematic review and meta-analysis

Diabetes mellitus (DM) is associated with severe hypoglycemia events (SHEs) that vary in severity and resource consumption. Here we perform a systematic review in Medline of studies evaluating SHE-related health resource use. Eligible studies investigated patients with DM and included ≥10 SHEs. We also assessed studies identified in another systematic review, and through references from the included studies. We identified 14 relevant studies and used data from 11 (encompassing 6075 patients). Study results were interpreted to fit our definitions, which sometimes required assumptions. SHE type structure was synthesized using Bayesian modeling. Estimating Type 1 & 2 DM separately revealed only small differences; therefore, we used joint results. Of the analyzed SHEs, 9.97% were hospital-treated, 22.3% medical professional-treated, and 67.73% family-treated. These meta-analysis results help in understanding the structure of resource consumption following SHE and can be used in economic studies.

糖尿病（Diabetes mellitus, DM）与严重程度及医疗资源消耗各异的严重低血糖事件（severe hypoglycemia events, SHEs）密切相关。本研究针对Medline数据库中评估SHE相关医疗资源使用情况的研究开展系统综述。纳入研究需满足以下条件：研究对象为糖尿病患者，且包含≥10例SHE病例。此外，本研究还纳入了另一项系统综述中检索到的研究，以及纳入研究的参考文献所提及的相关文献。最终共筛选出14项相关研究，最终采用其中11项研究的数据，涵盖6075名患者。研究结果需结合本研究的定义进行解读，部分场景需做出合理假设。采用贝叶斯建模（Bayesian modeling）对SHE的类型分布进行综合分析。分别针对1型与2型糖尿病进行估算后仅发现微小差异，因此本研究采用合并后的分析结果。在所分析的SHE病例中，9.97%需接受医院治疗，22.3%需接受专业医疗人员诊疗，67.73%可由家庭自行处置。本项荟萃分析结果有助于阐明SHE发生后医疗资源消耗的结构特征，可应用于相关经济学研究。