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 | |
dc.contributor.author | Zhu, He | |
dc.contributor.author | Spratt, Susan | |
dc.contributor.author | Swartz, Marvin | |
dc.contributor.author | Mannelli, Paolo | |
dc.date.accessioned | 2020-02-03T03:57:12Z | |
dc.date.available | 2020-02-03T03:57:12Z | |
dc.date.issued | 2018-05 | |
dc.date.updated | 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 | |
dc.identifier.issn | 0376-8716 | |
dc.identifier.issn | 1879-0046 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Elsevier BV | |
dc.relation.ispartof | Drug and alcohol dependence | |
dc.relation.isversionof | 10.1016/j.drugalcdep.2018.01.008 | |
dc.subject | Humans | |
dc.subject | Diabetes Complications | |
dc.subject | Substance-Related Disorders | |
dc.subject | Treatment Outcome | |
dc.subject | Prevalence | |
dc.subject | Hospital Mortality | |
dc.subject | Risk | |
dc.subject | Mental Disorders | |
dc.subject | Comorbidity | |
dc.subject | Algorithms | |
dc.subject | Socioeconomic Factors | |
dc.subject | Adult | |
dc.subject | Aged | |
dc.subject | Middle Aged | |
dc.subject | Delivery of Health Care | |
dc.subject | Female | |
dc.subject | 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 | |
pubs.organisational-group | Duke | |
pubs.organisational-group | Center for Child and Family Policy | |
pubs.organisational-group | Sanford School of Public Policy | |
pubs.organisational-group | Duke Clinical Research Institute | |
pubs.organisational-group | Institutes and Centers | |
pubs.organisational-group | Duke Institute for Brain Sciences | |
pubs.organisational-group | University Institutes and Centers | |
pubs.organisational-group | Institutes and Provost's Academic Units | |
pubs.organisational-group | Psychiatry & Behavioral Sciences, Social and Community Psychiatry | |
pubs.organisational-group | Psychiatry & Behavioral Sciences | |
pubs.organisational-group | Clinical Science Departments | |
pubs.organisational-group | Medicine, General Internal Medicine | |
pubs.organisational-group | Medicine | |
pubs.organisational-group | Medicine, Endocrinology, Metabolism, and Nutrition | |
pubs.organisational-group | Family Medicine and Community Health, Community Health | |
pubs.organisational-group | Family Medicine and Community Health | |
pubs.publication-status | Published | |
pubs.volume | 186 |
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