Validation study of case-identifying algorithms for severe hypoglycemia using hospital administrative data in Japan.

ABSTRACT:

Objective

The purpose of this study was to evaluate the performance of algorithms for identifying cases of severe hypoglycemia in Japanese hospital administrative data.

Methods

This was a multicenter, retrospective, observational study conducted at 3 acute-care hospitals in Japan. The study population included patients aged ≥18 years with diabetes who had an outpatient visit or hospital admission for possible hypoglycemia. Possible cases of severe hypoglycemia were identified using health insurance claims data and Diagnosis Procedure Combination data. Sixty-one algorithms using combinations of diagnostic codes and prescription of high concentration (≥20% mass/volume) injectable glucose were used to define severe hypoglycemia. Independent manual chart reviews by 2 physicians

SUBMITTER: Osaga S 

PROVIDER: S-EPMC10411751 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature