Prediction of Hypoglycemia By Quality of Life Measures: A Retrospective Analysis of Electronically Patient-Reported Data

Volume: 26, Issue: 10, Pages: 1153 - 1165
Published: Oct 1, 2020
Abstract
Objective: We aimed to examine the utility of electronically patient-reported data (e-PRD) in exploring the risk of diabetes-related hypoglycemia and to evaluate hypoglycemia prediction by the quality of life (QoL) measures. Methods: A retrospective analysis of e-PRD for patients with diabetes mellitus who completed the American Diabetes Association’s Low Blood Sugar Questionnaire (Hypo-Q) and the Patient-Reported Outcomes Measurement...
Paper Details
Title
Prediction of Hypoglycemia By Quality of Life Measures: A Retrospective Analysis of Electronically Patient-Reported Data
Published Date
Oct 1, 2020
Volume
26
Issue
10
Pages
1153 - 1165
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