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Dataset Information

Substance use disorders and medical comorbidities among high-need, high-risk patients with diabetes.


ABSTRACT:

Background

The majority of the U.S. healthcare resources are utilized by a small population characterized as high-risk, high-need persons with complex care needs (e.g., adults with multiple chronic conditions). Substance use disorders (SUDs) and mental health disorders (MHDs) are a driver of poor health and additional healthcare costs, but they are understudied among high-need patients.

Objective

We examine the prevalence and correlates of SUDs and MHDs among adults with high-risk diabetes, who are patients at the top 10% risk score for developing poor outcomes (hospital admission or death).

Methods

A risk algorithm developed from Duke University Health System electronic health records (EHRs) data was used to identify patients with high-risk diabetes for targeting hom

SUBMITTER: Wu LT 

PROVIDER: S-EPMC5959045 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature