Illustrative inpatient blood glucose datasets for QcDM project

Glucometrics is a set of measures designed to assess whether the blood glucose of patients with diabetes mellitus are effectively managed, and is useful in regular surveillance for adverse events such as hypoglycaemia and hyperglycaemia. To evaluate the quality of glycemic control using glucometrics, routinely collected blood glucose data needs to be consolidated, processed, and analysed in different units of analysis (i.e., patient-sample, patient-day, and patient-stay). Such procedure is challenging without dedicated manpower with specific professional skills. 

We developed an open-source tool with a user-friendly graphical interface, named the Quality care for Diabetes Mellitus (QcDM) Project (available at: https://github.com/nyilin/QcDM_Project), to facilitate the monitoring of the quality of inpatient glycemic control. To illustrate the usage of the tool, we provide two datasets: test_format1.csv to generate glucometrics for monitoring glucose readings in an inpatient setting, and test1.csv to compare the glucometrics generated between different software programs.