Data processing in the DMagic cluster randomised controlled trial.
Data processing in the DMagic cluster randomised controlled trial.
复制标题
DMagic 集群随机对照试验中的数据处理。
DOI:
10.1016/s2213-8587(22)00014-6
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发表时间:
2022
期刊:
影响因子:
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通讯作者:
Fottrell E
中科院分区:
文献类型:
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作者:
Fottrell E
Endocrinology provides evidence on the effectiveness of mHealth and Participatory Learning and Action (PLA) community mobilisation interventions for reducing populationlevel prevalence of intermediate hyperglycaemia and type 2 diabetes and the incidence of type 2 diabetes in rural Bangladesh. These primary outcomes were measured in large random sample surveys of fasting and 2-h blood glucose among adults aged 30 years and older. The observed effects of a greater than 60% reduction in prevalence and incidence outcomes in the PLA community mobilisation compared with control was robust to sensitivity analysis, including use of different arbitrary fasting and 2-h blood glucose cutoffs for classifications of intermediate hyperglycaemia or diabetes. 1We report that our trial primary outcome is based on WHO categorisations of blood glucose into normoglycaemia, intermediate hyperglycaemia and diabetes, with fasting blood glucose of less than 6· 1 mmol/L used to classify individuals as having normal blood glucose. 2 We recently identified a data processing error, whereby individuals with fasting blood glucose readings of exactly 6· 1 mmol/L were misclassified as having readings of less than 6· 1 mmol/L, thus deviating from the standard WHO definition. This error affects 317 (2· 8%) of 11 375 individuals from our random population sample, and 61 (2· 9%) of 2094 individuals in our cohort of individuals with intermediate hyperglycaemia. These cases of misclassification are distributed across all trial groups. The consequence of this misclassification