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1.
J Addict Med ; 17(3): e199-e201, 2023.
Article in English | MEDLINE | ID: mdl-37267183

ABSTRACT

OBJECTIVES: This study aimed to examine outcomes of a pilot program designed to increase inpatient medications for opioid use disorder (MOUD) induction and to support MOUD adherence after discharge. METHODS: This retrospective cohort analysis examined Medicaid adults diagnosed with opioid use disorder discharged from 2 freestanding inpatient withdrawal management facilities between October 1, 2018, and December 31, 2019. Participants had ≥90 days of continuous Medicaid enrollment before and after admission. Odds ratios (ORs) examined associations of inpatient MOUD induction with discharge against medical advice, 7- and 30-day all-cause hospital readmission, and postdischarge MOUD adherence. Mixed-effect models examined changes associated with MOUD induction and postdischarge MOUD adherence in acute service utilization and opioid overdose in the 90-day postdischarge period. RESULTS: Of the 2332 patients discharged, 493 started MOUD inpatient care (21.1%), with most initiating buprenorphine (76.5%). Induction of MOUD was associated with a lower likelihood of discharge against medical advice (OR, 0.49; 95% confidence interval [CI], 0.37-0.64), 30-day all-cause hospital readmission (OR, 0.61; 95% CI, 0.47-0.80), and higher odds of postdischarge MOUD adherence (OR, 3.83; 95% CI, 3.06-4.81). In the 90 days after discharge, MOUD adherent patients had significant reductions in emergency department visits for behavioral health, inpatient days, withdrawal management episodes, and opioid overdoses compared with the 90-day preadmission period. CONCLUSIONS: Inpatient MOUD induction is associated with a higher likelihood of short-term MOUD adherence after discharge, which in turn is associated with significant reductions in short-term service utilization and opioid overdose after discharge.


Subject(s)
Buprenorphine , Drug Overdose , Opiate Overdose , Opioid-Related Disorders , Adult , United States , Humans , Patient Discharge , Inpatients , Aftercare , Retrospective Studies , Drug Overdose/drug therapy , Drug Overdose/epidemiology , Opioid-Related Disorders/drug therapy , Opioid-Related Disorders/epidemiology , Buprenorphine/therapeutic use , Analgesics, Opioid/therapeutic use , Opiate Substitution Treatment
2.
Am J Prev Med ; 58(4): 584-590, 2020 04.
Article in English | MEDLINE | ID: mdl-32001049

ABSTRACT

INTRODUCTION: Suicide risk increases with age, and evidence exists for the underdiagnosis and undertreatment of suicide risk in older adults. Recent data suggest that many U.S. adults who die from suicide do not have a known mental health condition. This study compares the characteristics and precipitating circumstances of geriatric suicide decedents with and without known mental illnesses. METHODS: This study was a retrospective analysis of suicide deaths for adults aged ≥65 years from the National Violent Death Reporting System, 2003-2016 (n=26,884). ORs compared sociodemographic and clinical characteristics, cause of death, and precipitating circumstances based on coroner/medical examiner and law enforcement reports. Data were collected and analyzed in 2019. RESULTS: Most older male (69.1%) and female (50.2%) suicide decedents did not have a known mental illness. A physical health problem was the most prevalent precipitating circumstance but was more common among older adults without known mental illness. Past suicide attempt, disclosure of suicidal intent, depressed mood, and substance use were more common among those with a known mental illness. More than three fourths of suicide decedents did not disclose their suicidal intent. Most suicide deaths involved firearms, which were disproportionately used by decedents without known mental illness (81.6% of male and 44.6% of female decedents) compared with those with known mental illness (70.5% of male and 30.0% of female decedents). CONCLUSIONS: Most older adults who die from suicide do not have a known mental health condition. The rapidly growing U.S. geriatric population calls for more effective methods to identify and treat at-risk older adults, particularly those who are male.


Subject(s)
Firearms , Health Status , Law Enforcement , Population Surveillance , Suicide/statistics & numerical data , Aged , Cause of Death , Female , Humans , Male , Mental Disorders/epidemiology , Sex Distribution , Suicide/trends , United States/epidemiology
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