Multiple drug use disorder diagnoses among drug-involved hospitalizations in the United States: Results from the 2016 National Inpatient Sample.

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2020-06-12

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Abstract

BACKGROUND:Having more than one drug use disorders (DUDs) is an increasing public health concern, but it has been understudied. The goal of this study is to investigate the prevalence and patterns of coexisting DUD diagnoses among inpatient hospitalizations due to DUD in the United States. METHODS:Data were from the 2016 National Inpatient Sample and included hospitalizations with a principal DUD diagnosis for patients aged ≥18 years (i.e., drug-involved hospitalizations, unweighted n = 31,707). The DUD diagnosis profile was categorized into three groups: single, two, and three or more DUD diagnoses. Generalized ordered logit models were used to examine correlates of DUD diagnosis groups. RESULTS:Among drug-involved hospitalizations, approximately 50.1 % had multiple coexisting DUD diagnoses (2 DUD diagnoses, 32.1 %; ≥3 DUD diagnoses, 18.0 %). Particularly, opioid use disorder accounted for 58.6 % of drug-involved hospitalizations. Among specific opioid-involved hospitalizations, about 51.2 % had multiple DUD diagnoses. The most common secondary DUD diagnoses among opioid-involved hospitalizations included cocaine (21.7 %), cannabis (18.5 %), and sedatives (18.1 %). Adjusted analyses showed that being aged 18-25 years (vs. ≥ 26), living in areas with the lowest quartile of household income (vs. highest), and having a secondary diagnosis of mental disorders or tobacco/alcohol use disorder were associated with increased odds of having multiple DUD diagnoses in the total sample and in the opioid subsample. CONCLUSIONS:Findings suggest that healthcare providers should increase the awareness of multiple DUDs while treating patients with DUD, especially those with opioid use disorder. More research is needed to better characterize treatment needs for patients with multiple DUDs.

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10.1016/j.drugalcdep.2020.108113

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Zhu, He, and Li-Tzy Wu (2020). Multiple drug use disorder diagnoses among drug-involved hospitalizations in the United States: Results from the 2016 National Inpatient Sample. Drug and alcohol dependence, 213. p. 108113. 10.1016/j.drugalcdep.2020.108113 Retrieved from https://hdl.handle.net/10161/21141.

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Scholars@Duke

Wu

Li-Tzy Wu

Professor in Psychiatry and Behavioral Sciences

Education/Training: Pre- and post-doctoral training in mental health service research, psychiatric epidemiology (NIMH T32), and addiction epidemiology (NIDA T32) from Johns Hopkins University School of Public Health (Maryland); Fellow of the NIH Summer Institute on the Design and Conduct of Randomized Clinical Trials.

Director: Duke Community Based Substance Use Disorder Research Program.

Research interests: COVID-19, Opioid misuse, Opioid overdose, Opioid use disorder, Opioid addiction prevention and treatment, Pain and addiction, Chronic diseases and substance use disorders, diabetes, pharmacy-based care models and services, medication treatment for opioid use disorder (MOUD), Drug overdose, Polysubstance use and disorders, cannabis, alcohol, tobacco, hallucinogens, stimulants, e-cigarette, SBIRT (substance use Screening, Brief Intervention, Referral to Treatment), EHR-based research and intervention, data science, psychometric analysis (IRT), epidemiology of addictions and comorbidity, behavioral health care integration, health services research (mental health disorders, substance use disorders, chronic diseases), nosology, research design, HIV risk behavior. 

FUNDED Research projects (Principal Investigator [PI], Site PI, or Sub-award PI): 
R03: Substance use/dependence (PI).
R21: Treatment use for alcohol use disorders (PI).
R21: Inhalant use & disorders (PI).
R01: MDMA/hallucinogen use/disorders (PI).
R01: Prescription pain reliever (opioids) misuse and use disorders (PI).
R01: Substance use disorders in adolescents (PI).
R21: CTN Substance use diagnoses & treatment (PI).
R33: CTN Substance use diagnoses & treatment (PI).
R01: Evolution of Psychopathology in the Population (ECA Duke site PI).
R01: Substance use disorders and treatment use among Asian Americans and Pacific Islanders (PI).
UG1: SBIRT in Primary Care (NIDA, PI).
UG1: TAPS Tool, Substance use screening tool validation in primary care (NIDA, PI).
UG1: NIDA CTN Mid-Southern Node (Clinical Trials Network, PI).
UG1: EHR Data Element Study (NIDA, PI).
UG1: Buprenorphine Physician-Pharmacist Collaboration in the Management of Patients With Opioid Use Disorder (NIDA, PI).
PCORI: INSPIRE-Integrated Health Services to Reduce Opioid Use While Managing Chronic Pain (Site PI).
CDC R01: Evaluation of state-mandated acute and post-surgical pain-specific CDC opioid prescribing (Site PI).
Pilot: Measuring Opioid Use Disorders in Secondary Electronic Health Records Data (Carolinas Collaborative Grant: Duke PI).
R21: Developing a prevention model of alcohol use disorder for Pacific Islander young adults (Subaward PI, Investigator).
UG1: Subthreshold Opioid Use Disorder Prevention Trial (NIH HEAL Initiative) (NIDA supplement, CTN-0101, Investigator).
NIDA: A Pilot Study to Permit Opioid Treatment Program Physicians to Prescribe Methadone through Community Pharmacies for their Stable Methadone Patients (NIDA/FRI: Study PI).
UG1: Integrating pharmacy-based prevention and treatment of opioid and other substance use disorders: A survey of pharmacists and stakeholder (NIH HEAL Initiative, NIDA, PI).
UG1: NorthStar Node of the Clinical Trials Network (NIDA, Site PI).
R34: Intervention Development and Pilot Study to Reduce Untreated Native Hawaiian and Pacific Islander Opioid Use Disorders (Subaward PI, Investigator).
UG1: Optimal Policies to Improve Methadone Maintenance Adherence Longterm (OPTIMMAL Study) (NIDA, Site PI).
R01: Increasing access to opioid use disorder treatment by opening pharmacy-based medication units of opioid treatment programs (NIDA, PI)


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