A novel dataset of predictors of mortality for older Veterans living with type II diabetes.

Vaidya AU, Benavidez GA, Prentice JC, Mohr DC, Conlin PR, Griffith KN. A novel dataset of predictors of mortality for older Veterans living with type II diabetes. Data in brief. 2022 Apr 1; 41:108005.

Related HSR&D Project(s)

• IIR 15-116 – Hemoglobin A1c Variability and Adverse Health Outcomes

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Abstract:

The dataset summarized in this article includes a nationwide prevalence sample of U.S. military Veterans who were aged 65 years or older, dually enrolled in the Veterans Health Administration and traditional Medicare and had a previous diagnosis of diabetes (diabetes mellitus) as of December 2005 (  =  275,190) [1]. Our data were originally used to develop and validate prognostic indices of 5- and 10-year mortality among older Veterans with diabetes. We include various potential predictors including demographics (e.g., sex, age, marital status, and VA priority group), healthcare utilization (e.g., # of outpatient visits, # days of inpatient stays), medication history, and major comorbidities. This novel dataset provides researchers with an opportunity to study the associations between a large variety of individual-level risk factors and longevity for patients living with diabetes.