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Front Public Health ; 11: 1122455, 2023.
Article in English | MEDLINE | ID: mdl-37006591

ABSTRACT

Introduction: Patients with diabetes and comorbid substance use disorders (SUD) experience poor diabetes management, increased medical complications and mortality. However, research has documented that patients engaged in substance abuse treatment have better management of their comorbid conditions. The current study examines diabetes management among patients with type 2 diabetes, with and without comorbid SUD, receiving care at Florida-based Federally Qualified Health Centers (FQHC) of Health Choice Network (HCN). Methods: A retrospective analysis was conducted using deidentified electronic health records of 37,452 patients with type 2 diabetes who received care at a HCN site in Florida between 2016 and 2019. A longitudinal logistic regression analysis examined the impact of SUD diagnosis on achievement of diabetes management [HbA1c < 7.0% (53 mmol/mol)] over time. A secondary analysis evaluated, within those with an SUD diagnosis, the likelihood of HbA1c control between those with and without SUD treatment. Results: The longitudinal assessment of the relationship between SUD status and HbA1c control revealed that those with SUD (N = 6,878, 18.4%) were less likely to control HbA1c over time (OR = 0.56; 95% CI = 0.49-0.63). Among those with SUD, patients engaged in SUD treatment were more likely to control HbA1c (OR = 5.91; 95% CI = 5.05-6.91). Discussion: Findings highlight that untreated SUD could adversely affect diabetes control and sheds light on the opportunity to enhance care delivery for patients with diabetes and co-occurring SUD.


Subject(s)
Blood Glucose , Community Health Centers , Diabetes Mellitus, Type 2 , Substance-Related Disorders , Substance-Related Disorders/complications , Substance-Related Disorders/metabolism , Substance-Related Disorders/therapy , Blood Glucose/metabolism , Florida , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/metabolism , Diabetes Mellitus, Type 2/therapy , Humans , Male , Female , Adult , Middle Aged , Electronic Health Records , Retrospective Studies , Logistic Models , Longitudinal Studies
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