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.identifier |
S0376-8716(18)30106-6 |
|
dc.identifier.issn |
0376-8716 |
|
dc.identifier.issn |
1879-0046 |
|
dc.identifier.uri |
https://hdl.handle.net/10161/19930 |
|
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.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.id |
Wu, Li-Tzy|0380644 |
|
duke.contributor.id |
Spratt, Susan|0225107 |
|
duke.contributor.id |
Swartz, Marvin|0053343 |
|
duke.contributor.id |
Mannelli, Paolo|0331498 |
|
dc.date.updated |
2020-02-03T03:57:11Z |
|
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 |
|
duke.contributor.orcid |
Wu, Li-Tzy|0000-0002-5909-2259 |
|
duke.contributor.orcid |
Mannelli, Paolo|0000-0002-7834-6138 |
|