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

dc.contributor.author

Wu, Li-Tzy

dc.contributor.author

Ghitza, Udi E

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Zhu, He

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Spratt, Susan

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Swartz, Marvin

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Mannelli, Paolo

dc.date.accessioned

2020-02-03T03:57:12Z

dc.date.available

2020-02-03T03:57:12Z

dc.date.issued

2018-05

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2020-02-03T03:57:11Z

dc.description.abstract

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.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).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 home-based primary care. The EHR data of the 263 patients with high-risk diabetes were analyzed to understand patterns of SUDs and MHDs to inform care-coordinating efforts.Both SUDs (any SUD 48.3%, alcohol 12.5%, tobacco 38.8%, drug 23.2%) and MHDs (any MHD 74.9%, mood 53.2%, sleep 37.3%, anxiety 32.7%, schizophrenia/psychotics/delusional 14.8%, dementia/delirium/amnestic/cognitive 14.4%, adjustment 9.1%) were prevalent. Overall, 81.7% of the sample had SUD or MHD. Elevated odds of SUD were noted among men (tobacco, alcohol) and those who were never-married (alcohol, cannabis). African-American race (vs. other race/ethnicity) was associated with lower odds of anxiety disorders.While data are limited to one large academic health system, they provide clinical evidence revealing that 82% of patients with high-risk diabetes had SUD and/or MHD recorded in their EHRs, highlighting a need for developing service models to optimize high-risk care.

dc.identifier

S0376-8716(18)30106-6

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0376-8716

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1879-0046

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https://hdl.handle.net/10161/19930

dc.language

eng

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Elsevier BV

dc.relation.ispartof

Drug and alcohol dependence

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10.1016/j.drugalcdep.2018.01.008

dc.subject

Humans

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Diabetes Complications

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Substance-Related Disorders

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Treatment Outcome

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Prevalence

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Hospital Mortality

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Risk

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Mental Disorders

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Comorbidity

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Algorithms

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Socioeconomic Factors

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Adult

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Aged

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Middle Aged

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Delivery of Health Care

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Female

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Male

dc.title

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

dc.type

Journal article

duke.contributor.orcid

Wu, Li-Tzy|0000-0002-5909-2259

duke.contributor.orcid

Mannelli, Paolo|0000-0002-7834-6138

pubs.begin-page

86

pubs.end-page

93

pubs.organisational-group

School of Medicine

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Duke

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Center for Child and Family Policy

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Sanford School of Public Policy

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Duke Clinical Research Institute

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Institutes and Centers

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Duke Institute for Brain Sciences

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University Institutes and Centers

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Institutes and Provost's Academic Units

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Psychiatry & Behavioral Sciences, Social and Community Psychiatry

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Psychiatry & Behavioral Sciences

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Clinical Science Departments

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Medicine, General Internal Medicine

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Medicine

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Medicine, Endocrinology, Metabolism, and Nutrition

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Family Medicine and Community Health, Community Health

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Family Medicine and Community Health

pubs.publication-status

Published

pubs.volume

186

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