U.S. National 90-Day Readmissions After Opioid Overdose Discharge

Results From the POINT Pragmatic Randomized Trial: An Emergency Department-Based Peer Support Specialist Intervention to Increase Opioid Use Disorder Treatment Linkage and Reduce Recurrent Overdose

BACKGROUND

People with opioid use disorder (OUD) frequently present at the emergency department (ED), a potentially critical point for intervention and treatment linkage. Peer recovery support specialist (PRSS) interventions have expanded in US-based EDs, although evidence supporting such interventions has not been firmly established.

METHODS

Researchers conducted a pragmatic trial of POINT (Project Planned Outreach, Intervention, Naloxone, and Treatment), an ED-initiated intervention for harm reduction and recovery coaching/treatment linkage in 2 Indiana EDs. Cluster randomization allocated patients to the POINT intervention (n = 157) versus a control condition (n = 86). Participants completed a structured interview, and all outcomes were assessed using administrative data from an extensive state health exchange and state systems. Target patients (n = 243) presented to the ED for a possible opioid-related reason. The primary outcome was overdose-related ED re-presentation. Key secondary outcomes included OUD medication treatment linkage, duration of medication in days, all-cause ED re-presentation, all-cause inpatient re-presentation, and Medicaid enrollment. All outcomes were assessed at 3-, 6-, and 12-months post-enrollment. Ad hoc analyses were performed to assess treatment motivation and readiness.

RESULTS

POINT and standard care participants did not differ significantly on any outcomes measured. Participants who presented to the ED for overdose had significantly lower scores (3.5 vs 4.2, P < .01) regarding readiness to begin treatment compared to those presenting for other opioid-related issues.

CONCLUSIONS

This is the first randomized trial investigating overdose outcomes for an ED peer recovery support specialist intervention. Though underpowered, results suggest no benefit of PRSS services over standard care. Given the scope of PRSS, future work in this area should assess more recovery- and harm reduction-oriented outcomes, as well as the potential benefits of integrating PRSS within multimodal ED-based interventions for OUD.

Recent Opioid Use Impedes Range Adaptation in Reinforcement Learning in Human Addiction

BACKGROUND

Drugs like opioids are potent reinforcers thought to co-opt value-based decisions by overshadowing other rewarding outcomes, but how this happens at a neurocomputational level remains elusive. Range adaptation is a canonical process of fine-tuning representations of value based on reward context. Here, we tested whether recent opioid exposure impacts range adaptation in opioid use disorder, potentially explaining why shifting decision making away from drug taking during this vulnerable period is so difficult.

METHODS

Participants who had recently (<90 days) used opioids (n = 34) or who had abstained from opioid use for ≥ 90 days (n = 20) and comparison control participants (n = 44) completed a reinforcement learning task designed to induce robust contextual modulation of value. Two models were used to assess the latent process that participants engaged while making their decisions: 1) a Range model that dynamically tracks context and 2) a standard Absolute model that assumes stationary, objective encoding of value.

RESULTS

Control participants and ≥90-days-abstinent participants with opioid use disorder exhibited choice patterns consistent with range-adapted valuation. In contrast, participants with recent opioid use were more prone to learn and encode value on an absolute scale. Computational modeling confirmed the behavior of most control participants and ≥90-days-abstinent participants with opioid use disorder (75%), but a minority in the recent use group (38%), was better fit by the Range model than the Absolute model. Furthermore, the degree to which participants relied on range adaptation correlated with duration of continuous abstinence and subjective craving/withdrawal.

CONCLUSIONS

Reduced context adaptation to available rewards could explain difficulty deciding about smaller (typically nondrug) rewards in the aftermath of drug exposure.

Hospital admissions among patients with Comorbid Substance Use disorders: a secondary analysis of predictors from the NavSTAR Trial

BACKGROUND

Individuals with substance use disorders (SUDs) frequently use acute hospital services. The Navigation Services to Avoid Rehospitalization (NavSTAR) trial found that a patient navigation intervention for hospitalized patients with comorbid SUDs reduced subsequent inpatient admissions compared to treatment-as-usual (TAU).

METHODS

This secondary analysis extends previous findings from the NavSTAR trial by examining whether selected patient characteristics independently predicted hospital service utilization and moderated the effect of the NavSTAR intervention. Participants were 400 medical/surgical hospital patients with comorbid SUDs. We analyzed 30- and 90-day inpatient readmissions (one or more readmissions) and cumulative incidence of inpatient admissions through 12 months using multivariable logistic and negative binomial regression, respectively.

RESULTS

Consistent with primary findings and controlling for patient factors, NavSTAR participants were less likely than TAU participants to be readmitted within 30 (P = 0.001) and 90 (P = 0.03) days and had fewer total readmissions over 12 months (P = 0.008). Hospitalization in the previous year (P < 0.001) was associated with cumulative readmissions over 12 months, whereas Medicaid insurance (P = 0.03) and index diagnoses of infection (P = 0.001) and injuries, poisonings, or procedural complications (P = 0.004) were associated with fewer readmissions. None of the selected covariates moderated the effect of the NavSTAR intervention.

CONCLUSIONS

Previous findings showed that patient navigation could reduce repeat hospital admissions among patients with comorbid SUDs. Several patient factors were independently associated with readmission. Future research should investigate risk factors for hospital readmission among patients with comorbid SUDs to optimize interventions.

TRIAL REGISTRATION

NIH ClinicalTrials.gov NCT02599818, Registered November 9, 2015 https://classic.

CLINICALTRIALS

gov/ct2/show/NCT02599818 .

Implementation of Opioid Safety Efforts: Influence of Academic Detailing on Adverse Outcomes Among Patients in the Veterans Health Administration

BACKGROUND

The Veterans Health Administration (VA) implemented academic detailing (AD) to support safer opioid prescribing and overdose prevention initiatives.

METHODS

Patient-level data were extracted monthly from VA's electronic health record to evaluate whether AD implementation was associated with changes in all-cause mortality, opioid poisoning inpatient admissions, and opioid poisoning emergency department (ED) visits in an observational cohort of patients with long-term opioid prescriptions (≥45-day supply of opioids 6 months prior to a given month with ≤15 days between prescriptions). A single-group interrupted time series analysis using segmented logistic regression for mortality and Poisson regression for counts of inpatient admissions and ED visits was used to identify whether the level and slope of these outcomes changed in response to AD implementation.

RESULTS

Among 955 376 unique patients (19 431 241 person-months), there were 53 369 deaths (29 025 pre-AD; 24 344 post-AD), 1927 opioid poisoning inpatient admissions (610 pre-AD; 1317 post-AD), and 408 opioid poisoning ED visits (207 pre-AD; 201 post-AD). Immediately after AD implementation, there was a 5.8% reduction in the odds of all-cause mortality (95% confidence interval [CI]: 0.897, 0.990). However, patients had a significantly increased incidence rate of inpatient admissions for opioid poisoning immediately after AD implementation (incidence rate ratio = 1.523; 95% CI: 1.118, 2.077). No significant differences in ED visits for opioid poisoning were observed.

CONCLUSIONS

AD was associated with decreased all-cause mortality but increased inpatient hospitalization for opioid poisoning among patients prescribed long-term opioids. Mechanisms via which AD's efforts influenced opioid-related outcomes should be explored.

The Feasibility of Using the National PulsePoint Cardiopulmonary Resuscitation Responder Network to Facilitate Overdose Education and Naloxone Distribution: Protocol for a Randomized Controlled Trial

BACKGROUND

The use of naloxone, an opioid antagonist, is a critical component of the US response to fatal opioid-involved overdoses. The importance and utility of naloxone in preventing fatal overdoses have been widely declaimed by medical associations and government officials and are supported by strong research evidence. Still, there are gaps in the current US national strategy because many opioid-involved overdose fatalities have no evidence of naloxone administration. Improving the likelihood that naloxone will be used to prevent fatal overdoses is predicated on facilitating an environment wherein naloxone is available near each overdose and can be accessed by someone who is willing and able to use it. How to accomplish this on a national scale has been unclear. However, there exists a national network of >1 million cardiopulmonary resuscitation (CPR) layperson responders and 4800 emergency responder agencies linked through a mobile phone app called PulsePoint Respond. PulsePoint responders certify that they are trained to administer CPR and are willing to respond to possible cardiac events in public. When such an event occurs near their mobile phone's location, they receive an alert to respond. These motivated citizens are ideally positioned to carry naloxone and reverse overdoses that occur in public.

OBJECTIVE

This randomized controlled trial will examine the feasibility of recruiting first responder agencies and layperson CPR responders who already use PulsePoint to obtain overdose education and carry naloxone.

METHODS

This will be a 3-arm parallel-group randomized controlled trial. We will randomly select 180 first responder agencies from the population of agencies contracting with the PulsePoint Foundation. The 3 study arms will include a standard recruitment arm, a misperception-correction recruitment arm, and a control arm (1:1:1 allocation, with random allocation stratified by zip code designation [rural or nonrural]). We will study agency recruitment and, among the agencies we successfully recruit, responder certification of receiving overdose and naloxone education, carrying naloxone, or both. Hypothesis 1 contrasts agency recruitment success between arms 1 and 2, and hypothesis 2 contrasts the ratios of layperson certification across all 3 arms. The primary analyses will be a logistic regression comparing the recruitment rates among the arms, adjusting for rural or nonrural zip code designation.

RESULTS

This study was reviewed by the Indiana University Institutional Review Board (20218 and 20219). This project was funded beginning September 14, 2023, by the National Institute on Drug Abuse.

CONCLUSIONS

The hypotheses in this study will test whether a specific type of messaging is particularly effective in recruiting agencies and layperson responders. Although we hypothesize that arm 2 will outperform the other arms, our intention is to use the best-performing approach in the next phase of this study if any of our approaches demonstrates feasibility.

TRIAL REGISTRATION

OSF Registries osf.io/egn3z; https://osf.io/egn3z.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/57280.

Residence in urban or rural counties in relation to opioid overdose mortality among Kentucky hospitalizations before and during the COVID-19 pandemic

BACKGROUND

At the beginning of the opioid overdose epidemic, overdose mortality rates were higher in urban than in rural areas. We examined the association between residence in an urban or rural county and subsequent opioid overdose mortality in Kentucky, a state highly impacted by the opioid epidemic, and whether this was modified by the COVID-19 pandemic.

METHODS

We captured hospitalizations in Kentucky from 2016 to 2020, involving an opioid using ICD-10-CM codes T40.0-T40.4 and T40.6. Patient's county was classified as urban or rural based on the NCHS Urban-Rural Classification Scheme. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of opioid overdose mortality, adjusted for demographics, hospitalization severity, and zip code SES. We assessed effect modification by the COVID-19 pandemic.

RESULTS

Overall, patients living in urban counties had 46% higher odds of opioid overdose death than patients residing in rural counties (adjusted OR=1.46; 95% CI=1.22, 1.74). Before the pandemic, patients in urban counties had 63% increased odds of opioid overdose death (adjusted OR=1.63; 95% CI=1.34, 1.97); however, during the COVID-19 pandemic, patients in urban and rural counties became more similar in regard to opioid overdose mortality (adjusted OR=0.72; 95% CI=0.45, 1.16; p-value for interaction =0.02).

CONCLUSION

Before the pandemic, living in urban counties was associated with higher opioid overdose mortality among Kentucky hospitalizations; however, during the COVID-19 pandemic, opioid overdose mortality in rural areas increased, approaching rates in urban areas. COVID-19 posed social, economic, and healthcare challenges that may be contributing to worsening mortality trends affecting both urban and rural patients.

Non-overdose acute care hospitalizations for opioid use disorder among commercially-insured adults: a retrospective cohort study

BACKGROUND

Acute care inpatient admissions outside of psychiatric facilities have been increasingly identified as a critical touchpoint for opioid use disorder (OUD) treatment. We sought to describe non-opioid overdose hospitalizations with documented OUD and examine receipt of post-discharge outpatient buprenorphine.

METHODS

We examined acute care hospitalizations with an OUD diagnosis in any position within US commercially-insured adults age 18-64 years (IBM MarketScan claims, 2013-2017), excluding opioid overdose diagnoses. We included individuals with ≥ 6 months of continuous enrollment prior to the index hospitalization and ≥ 10 days following discharge. We described demographic and hospitalization characteristics, including outpatient buprenorphine receipt within 10 days of discharge.

RESULTS

Most (87%) hospitalizations with documented OUD did not include opioid overdose. Of 56,717 hospitalizations (49,959 individuals), 56.8% had a primary diagnosis other than OUD, 37.0% had documentation of an alcohol-related diagnosis code, and 5.8% end in a self-directed discharge. Where opioid use disorder was not the primary diagnosis, 36.5% were due to other substance use disorders, and 23.1% were due to psychiatric disorders. Of all non-overdose hospitalizations who had prescription medication insurance coverage and who were discharged to an outpatient setting (n = 49, 237), 8.8% filled an outpatient buprenorphine prescription within 10 days of discharge.

CONCLUSIONS

Non-overdose OUD hospitalizations often occur with substance use disorders and psychiatric disorders, and very few are followed by timely outpatient buprenorphine. Addressing the OUD treatment gap during hospitalization may include implementing medication for OUD for inpatients with a broad range of diagnoses.

Characteristics and health service use of Medicaid-insured individuals filling naloxone under a standing order in Louisiana

BACKGROUND

Naloxone distribution is a key intervention to reduce opioid overdose deaths. On January 23, 2017, Louisiana implemented a standing order that permits pharmacies to dispense naloxone to patients without a patient-specific prescription.

OBJECTIVES

To examine the characteristics and health service use of Louisiana Medicaid members filling naloxone under the standing order.

METHODS

We conducted a retrospective cohort study of Louisiana Medicaid members from January 23, 2017 to December 31, 2019. We extracted fee-for-service claims and managed care encounters for naloxone dispensed under the standing order.

RESULTS

Overall, there were 2053 naloxone fills by 1912 unique individuals. The total number of naloxone fills increased from 22 in 2017 to 1218 in 2019. Most members (n = 1,586, 83.0%) received any type of health service and 20.4% (n = 391) received an opioid-related health service in the 30 days prior to filling naloxone. Additionally, 12.7% (n = 242) of members had received medication for opioid use disorder (MOUD), and 42.6% (n = 815) filled a prescription opioid analgesic within the 60 days prior to filling naloxone. Nineteen members (1.0%) had an emergency department visit for overdose within 90 days after filling naloxone.

CONCLUSION

Standing orders play an important role in providing access to naloxone, even among Medicaid members who had recent encounters with health care providers. We identified multiple opportunities to improve naloxone prescribing among providers caring for Medicaid-insured people who use opioids, including prescribers of opioid analgesics or MOUD.

Safety and preliminary outcomes of short-acting opioid agonist treatment (sOAT) for hospitalized patients with opioid use disorder

BACKGROUND

Patients with opioid use disorder (OUD) frequently leave the hospital as patient directed discharges (PDDs) because of untreated withdrawal and pain. Short-acting opioids can complement methadone, buprenorphine, and non-opioid adjuvants for withdrawal and pain, however little evidence exists for this approach. We described the safety and preliminary outcomes of short-acting opioid agonist treatment (sOAT) for hospitalized patients with OUD at an academic hospital in Philadelphia, PA.

METHODS

From August 2021 to March 2022, a pharmacist guided implementation of a pilot sOAT protocol consisting of escalating doses of oxycodone or oral hydromorphone scheduled every four hours, intravenous hydromorphone as needed, and non-opioid adjuvants for withdrawal and pain. All patients were encouraged to start methadone or buprenorphine treatment for OUD. We abstracted data from the electronic health record into a secure platform. The primary outcome was safety: administration of naloxone, over-sedation, or a fall. Secondary outcomes were PDDs and respective length of stay (LOS), discharges on methadone or buprenorphine, and discharges with naloxone. We compared secondary outcomes to hospitalizations in the 12 months prior to the index hospitalization among the same cohort.

RESULTS

Of the 23 cases, 13 (56.5%) were female, 19 (82.6%) were 40 years or younger, and 22 (95.7%) identified as White. Twenty-one (91.3%) regularly injected opioids and four (17.3%) were enrolled in methadone or buprenorphine prior to hospitalization. sOAT was administered at median doses of 200-320 morphine milligram equivalents per 24-h period. Naloxone administration was documented once in the operating room, over-sedation was documented once after unsanctioned opioid use, and there were no falls. The PDD rate was 44% with median LOS 5 days (compared to PDD rate 69% with median LOS 3 days for prior admissions), 65% of sOAT cases were discharged on buprenorphine or methadone (compared to 33% for prior admissions), and 65% of sOAT cases were discharged with naloxone (compared to 19% for prior admissions).

CONCLUSIONS

Pilot implementation of sOAT was safe. Compared to prior admissions in the same cohort, the PDD rate was lower, LOS for PDDs was longer, and more patients were discharged on buprenorphine or methadone and with naloxone, however efficacy for these secondary outcomes remains to be established.

Beliefs and misperceptions about naloxone and overdose among U.S. laypersons: a cross-sectional study

BACKGROUND

Overdose education and naloxone distribution (OEND) to laypersons are key approaches to reduce the incidence of opioid-involved overdoses. While some research has examined attitudes toward OEND, especially among pharmacists and first responders, our understanding of what laypersons believe about overdose and naloxone is surprisingly limited. Further, some scholars have expressed concerns about the prevalence of non-evidence-based beliefs about overdose and naloxone. We designed this study to analyze the prevalence, nature, and context of beliefs about naloxone and overdose among U.S. laypersons.

METHODS

We conducted a cross-sectional study (n = 702) using Prolific.co (representative of the U.S. population by age, gender, and race). Primary outcomes were the believability of six statements about overdose/naloxone on a seven-point Likert-type scale. Five statements were unsupported, and one was supported, by current scientific evidence. We used latent profile analysis to classify participants into belief groups, then used regression to study correlates of profile classification.

RESULTS

Believability of the statements (7: extremely believable) ranged from m = 5.57 (SD = 1.38) for a scientifically supported idea (trained bystanders can reverse overdose with naloxone), to m = 3.33 (SD = 1.83) for a statement claiming opioid users can get high on naloxone. Participants were classified into three latent belief profiles: Profile 1 (most aligned with current evidence; n = 246), Profile 2 (moderately aligned; n = 351), and Profile 3 (least aligned, n = 105). Compared to Profile 1, several covariates were associated with categorization into Profiles 2 and 3, including lower trust in science (RRR = 0.36, 95%CI = 0.24-0.54; RRR = 0.21, 95%CI = 0.12-0.36, respectively), conservative political orientation (RRR = 1.41, 95%CI = 1.23-1.63; 3:RRR = 1.62, 95%CI = 1.35-1.95, respectively), and never being trained about naloxone (Profile 3: RRR = 3.37, 95%CI = 1.16-9.77).

CONCLUSIONS

Preliminary evidence suggests some U.S. laypersons simultaneously believe that bystander overdose prevention with naloxone can prevent overdose and one or more scientifically unsupported claims about naloxone/overdose. Categorization into clusters displaying such belief patterns was associated with low trust in science, conservative political orientation, and not having been trained about naloxone.

PREREGISTRATION

This cross-sectional study was preregistered prior to any data collection using the Open Science Framework: https://osf.io/c6ufv.

Comorbid Affective and Substance Use Disorders of Medicaid/Medicare Beneficiaries at an Opioid Treatment Program Serving Small Urban and Rural Communities

Objectives

Identify rates and correlates of comorbid affective and substance use disorders among an understudied population, Medicaid/Medicare beneficiaries receiving care at an opioid treatment program serving patients from small urban and rural areas. Examine whether past-year non-medical opioid use status differentiates comorbidity status.

Methods

A cross-sectional, venue-based design was used to recruit a convenience sample of patients treated with methadone for opioid use disorder. Measures were assessed across three domains: (1) demographic characteristics, (2) opioid use characteristics, and (3) comorbid disorders. Brief validated screeners categorized probable comorbid disorders. Bivariate analyses examined correlates of comorbid disorders and determined variable selection for multivariable analyses.

Results

In this sample (N = 210; mean age = 38.5 years; female = 62.2%; Non-Hispanic White race/ethnicity = 86.1%), comorbid disorders were common. Rates were as follows: current anxiety (48.1%), depression (41.1%), and PTSD (33.7%), and past-year stimulant (27.6%), marijuana (19.0%), alcohol (14.9%), and sedative (7.6%). In bivariate analyses, past-year non-medical opioid use and a greater accumulation of opioid use consequences were associated with most disorders. When including demographic and opioid use characteristics in multivariable analyses, past-year non-medical opioid use was associated with anxiety, PTSD, stimulant use disorder, and sedative use disorder.

Conclusions

Few studies have investigated comorbid disorders among this understudied population. This analysis highlights a high burden, especially for affective disorders. Our findings demonstrate that routine, ongoing assessment of non-medical opioid use may be a promising and feasible strategy to detect patients needing integrated care. Future research should investigate whether changes to assessment protocols at opioid treatment programs in small urban and rural settings facilitate care coordination.

The Emergency Department Longitudinal Integrated Care (ED-LINC) intervention targeting opioid use disorder: A pilot randomized clinical trial

INTRODUCTION

Opioid use disorder (OUD) and related comorbid conditions are highly prevalent among patients presenting to emergency department (ED) settings. Research has developed few comprehensive disease management strategies for at-risk patients presenting to the ED that both decrease illicit opioid use and improve initiation and retention in medication treatment for OUD (MOUD).

METHODS

The research team conducted a pilot pragmatic clinical trial that randomized 40 patients presenting to a single ED to a collaborative care intervention (n = 20) versus usual care control (n = 20) conditions. Interviewers blinded to patient intervention and control group status followed-up with participants at 1, 3, and 6 months after presentation to the ED. The 3-month Emergency Department Longitudinal Integrated Care (ED-LINC) collaborative care intervention for patients at risk for OUD included: 1) a Brief Negotiated Interview at bedside, 2) overdose education and facilitation of MOUD, 3) longitudinal proactive care management, 4) utilization of the statewide health information exchange platform for 24/7 tracking of recurrent ED utilization, and 5) weekly caseload supervision that incorporated measurement-based care treatment assessment with stepped-up care for patients with recalcitrant symptoms.

RESULTS

Overall, the ED-LINC intervention was feasibly delivered and acceptable to patients. The pilot study achieved >80% follow-up rates at 1, 3, and 6 months. In adjusted longitudinal mixed model regression analyses, no statistically significant differences existed in days of opioid use over the past 30 days for ED-LINC intervention patients when compared to patients receiving usual care (incidence-rate ratio (IRR) 1.50, 95% CI 0.54-4.16). The unadjusted mean number of days of illicit opioid use decreased at the 1-month and 3-month follow-up time points for both groups. ED-LINC intervention patients had increased rates of MOUD initiation compared to control patients (50% versus 30%); intervention versus control comparisons did not achieve statistical significance, although power to detect significant differences in the pilot was limited.

CONCLUSIONS

The ED-LINC intervention for patients with OUD can be feasibly implemented and warrants testing in larger scale, adequately powered randomized pragmatic clinical trial investigations.

CLINICALTRIALS

gov NCT03699085.

Mental disorder and opioid overdose: a systematic review

PURPOSE

This systematic review summarizes and presents the current state of research quantifying the relationship between mental disorder and overdose for people who use opioids.

METHODS

The protocol was published in Open Science Framework. We used the PECOS framework to frame the review question. Studies published between January 1, 2000, and January 4, 2021, from North America, Europe, the United Kingdom, Australia, and New Zealand were systematically identified and screened through searching electronic databases, citations, and by contacting experts. Risk of bias assessments were performed. Data were synthesized using the lumping technique.

RESULTS

Overall, 6512 records were screened and 38 were selected for inclusion. 37 of the 38 studies included in this review show a connection between at least one aspect of mental disorder and opioid overdose. The largest body of evidence exists for internalizing disorders generally and mood disorders specifically, followed by anxiety disorders, although there is also moderate evidence to support the relationship between thought disorders (e.g., schizophrenia, bipolar disorder) and opioid overdose. Moderate evidence also was found for the association between any disorder and overdose.

CONCLUSION

Nearly all reviewed studies found a connection between mental disorder and overdose, and the evidence suggests that having mental disorder is associated with experiencing fatal and non-fatal opioid overdose, but causal direction remains unclear.

Medication for Addiction Treatment and Postpartum Health Care Utilization Among Pregnant Persons With Opioid Use Disorder

OBJECTIVE

To estimate treatment and postpartum health care utilization among pregnant persons with opioid use disorder (OUD) in Vermont and Maine.

METHODS

Vermont's and Maine's All Payer Claims Databases were used to identify deliveries 2010 to 2018 that were paid for, in part, by Medicaid. OUD was identified among pregnant persons if they had any claim with an OUD-diagnosis code (ICD-9/10) or medication for addiction treatment (MAT) code during the 5 months before delivery event. Consistent and inconsistent MAT were compared to no MAT on the rate of hospitalizations and emergency department (ED) visits in the first 12 months' postpartum using negative binomial regression.

RESULTS

From 2010 through 2018, 27,652 deliveries in Vermont and 43,480 deliveries in Maine were among persons insured by Medicaid. The prevalence of OUD among pregnant persons increased from 6.7% to 11.6% in Vermont and from 7.4% to 11.0% in Maine. Among pregnant persons with OUD in 2018, 57% had consistent MAT in Vermont and 50% had consistent MAT in Maine; approximately 32% and 27% were not in treatment in Vermont and Maine, respectively. In Maine, consistent MAT was associated with a 47% lower rate of hospitalization and 37% to 46% lower rates of ED visits when compared to those without MAT; in Vermont, those with consistent buprenorphine treatment had a 30% lower rate of ED visits.

CONCLUSIONS

Medicaid data from Vermont and Maine suggests that medication for addiction treatment for opioid use disorder during pregnancy reduces emergency health care utilization in the first year postpartum.

Prescription Opioid Characteristics and Nonfatal Overdose Among Patients Discharged from Tennessee Emergency Departments

BACKGROUND

Despite increasing trends of nonfatal opioid overdoses in emergency departments (EDs), population-based studies comparing prescription opioid dosing patterns before and after nonfatal opioid overdoses are limited.

OBJECTIVES

To evaluate characteristics of prescribing behaviors before and after nonfatal overdoses, with a focus on opioid dosage.

METHODS

Included were 5,395 adult residents of Tennessee discharged from hospital EDs after a first nonfatal opioid overdose (2016-2017). Patients were linked to eligible prescription records in the Tennessee Controlled Substance Monitoring Database. We estimated odds ratios (OR) and 95% confidence intervals (CI) to evaluate characteristics associated with filling opioid prescriptions 90 days before overdose and with high daily dose (≥ 90 morphine milligram equivalents) 90 days after overdose.

RESULTS

Among patients who filled a prescription both before and after an overdose, the percentage filling a low, medium, and high dose was 33.7%, 31.9%, and 34.4%, respectively, after an opioid overdose (n = 1,516). Most high-dose users before an overdose (>70%) remained high-dose users with the same prescriber after the overdose. Male gender, ages ≥ 35 years, and medium metro residence were associated with increased odds of high-dose filling after an opioid overdose. Patients filling overlapping opioid-benzodiazepine prescriptions and with > 7 days' supply had increased odds of filling high dose after an opioid overdose (OR 1.4, 95% CI 1.08-1.70 and OR 3.7, 95% CI 2.28-5.84, respectively).

CONCLUSIONS

In Tennessee, many patients treated in the ED for an overdose are still prescribed high-dose opioid analgesics after an overdose, highlighting a missed opportunity for intervention and coordination of care between ED and non-ED providers.

A missed opportunity: underutilization of inpatient behavioral health services to reduce injection drug use sequelae in Florida

Background

People who inject drugs (PWID) suffer high morbidity and mortality from injection related infections (IRI). The inpatient setting is an ideal opportunity to treat underlying substance use disorder (SUD), but it is unclear how often this occurs.

Objectives

To quantify the utilization of behavioral health services for PWID during inpatient admissions for IRI.

Methods

Data for all hospital admissions in Florida in FY2017 were obtained from the Agency for Healthcare Administration. Hospitalization for IRI were obtained using a validated ICD-10 algorithm and treatment for substance use disorder was quantified using ICD-10-Procedure Coding System (ICD-10-PCS) codes.

Result

Among the 20,001 IRI admissions, there were 230 patients who received behavioral health services as defined by ICD-10-PCS SAT codes for treatment for SUD.

Conclusions

In a state with a large number of IRI, only a very small portion of admissions received behavioral health services. Increased efforts should be directed to studying referral patterns among physicians and other providers caring for this population and increasing utilization of behavioral health services.

Association between discharges against medical advice and readmission in patients treated for drug injection-related skin and soft tissue infections

BACKGROUND

The prevalence of injection drug use (IDU)-related skin and soft tissue infections (SSTI) in Philadelphia has been steadily increasing since 2013. Patients seeking treatment for these infections are more likely to be discharged against medical advice (AMA), increasing the likelihood that they will end antibiotic treatment prematurely and require additional medical interventions.

METHODS

The research team performed a nested case-control study using the Pennsylvania Health Care Cost Containment Council database for Philadelphia residents hospitalized for SSTI and substance use-related diagnoses between 2013 and 2018. The primary outcome was readmission in the same or following quarter. The study examined the impact of discharge AMA on readmission along with clinical characteristics including diagnoses for anxiety, bipolar disorder, depression, schizophrenia, diabetes, and polydrug use.

RESULTS

There were 8265 hospitalizations for IDU-related SSTI and 316 (6%) were readmitted to the hospital at least once in the same or following quarter. In total, 23.4% of cases and 13% of controls left AMA. In the final multivariable regression model, AMA discharge (AOR 2.04, 95% CI 1.46-2.86), anxiety (AOR 1.44, 95% CI 1.01-2.05), diabetes (AOR 2.02, 95% CI 1.46-2.81), and polydrug use (AOR 2.11, 95% CI 1.52-2.92) were associated with higher odds of readmission.

CONCLUSIONS

Our study demonstrates that readmissions for IDU-related SSTI are associated with recent discharge AMA. As IDU-related SSTI and polydrug use continue to rise, premature antibiotic treatment completion will impact more people, leading to worse health outcomes and additional strain on the health care system.

Predicting Mortality Risk After a Hospital or Emergency Department Visit for Nonfatal Opioid Overdose

BACKGROUND

Survivors of opioid overdose have substantially increased mortality risk, although this risk is not evenly distributed across individuals. No study has focused on predicting an individual's risk of death after a nonfatal opioid overdose.

OBJECTIVE

To predict risk of death after a nonfatal opioid overdose.

DESIGN AND PARTICIPANTS

This retrospective cohort study included 9686 Pennsylvania Medicaid beneficiaries with an emergency department or inpatient claim for nonfatal opioid overdose in 2014-2016. The index date was the first overdose claim during this period.

EXPOSURES, MAIN OUTCOME, AND MEASURES

Predictor candidates were measured in the 180 days before the index overdose. Primary outcome was 180-day all-cause mortality. Using a gradient boosting machine model, we classified beneficiaries into six subgroups according to their risk of mortality (< 25th percentile of the risk score, 25th to < 50th, 50th to < 75th, 75th to < 90th, 90th to < 98th, ≥ 98th). We then measured receipt of medication for opioid use disorder (OUD), risk mitigation interventions (e.g., prescriptions for naloxone), and prescription opioids filled in the 180 days after the index overdose, by risk subgroup.

KEY RESULTS

Of eligible beneficiaries, 347 (3.6%) died within 180 days after the index overdose. The C-statistic of the mortality prediction model was 0.71. In the highest risk subgroup, the observed 180-day mortality rate was 20.3%, while in the lowest risk subgroup, it was 1.5%. Medication for OUD and risk mitigation interventions after overdose were more commonly seen in lower risk groups, while opioid prescriptions were more likely to be used in higher risk groups (both p trends < .001).

CONCLUSIONS

A risk prediction model performed well for classifying mortality risk after a nonfatal opioid overdose. This prediction score can identify high-risk subgroups to target interventions to improve outcomes among overdose survivors.

One-year risk of opioid use disorder after index hospitalization for inflammatory bowel disease

PURPOSE

Patients with inflammatory bowel disease are commonly prescribed opiates for pain. We sought to determine the incidence of opiate use disorder after inflammatory bowel disease (IBD) admission over a 1-year period as well as its impact on mortality and hospital resource utilization.

METHODS

The Nationwide Readmission Database 2016 was used to identify adult patients with a principal diagnosis of IBD who were subsequently readmitted with a primary diagnosis of opioid use disorder. The primary outcome was 1-year readmission rate for opiate use disorder. Predictors were analyzed using multivariate logistic regression. Secondary outcomes were mortality rate, length of stay, and total hospital costs and charges.

RESULTS

Among the 6340 index hospitalizations for IBD, 4.7% (6.0% Crohn's and 2.6% ulcerative colitis) were readmitted within 1 year for opiate use disorder. Readmission hospitalizations were associated with additional mortality (0.32%) and hospital utilization (length of stay 4.80 days, mean total costs $9503, and mean total charges $38,288). Ulcerative colitis had significantly higher mortality and hospital utilization costs compared with Crohn's disease. In multivariable analysis, odds of readmission were associated with female sex (OR 1.51, CI 1.19-1.92), private insurance (OR 0.20, CI 0.11-0.37), Charlson Comorbidity Index (OR 0.20, CI 0.11-0.37), anxiety (OR 1.65, CI 1.02-2.63), and depression (OR 2.07, CI 1.28-3.34). On stratification analysis, psychiatric comorbidities were associated with both Crohn's and ulcerative colitis.

CONCLUSION

Patients with IBD were often readmitted for opiate use disorder and sustained significant mortality and hospital costs. Psychiatric comorbidities, gender, and insurance status impacted the odds of readmission and represent targets for intervention.

Substance use and related harms in the context of COVID-19: a conceptual model

As the effects of COVID-19 have been unfolding, growing attention has been paid to the intersection of COVID-19 and substance use and the related harms. However, there are few theories and little empirical evidence to guide investigations in this area. To advance this emerging area of inquiry, we present a conceptual model that synthesizes evidence, information and knowledge on substance use and related harms in the context of the pandemic. The conceptual model offers a visual representation of the connections between the pandemic and substance use and related harms, and can be used to identify areas for future research.

Opioid Agonist Therapy During Hospitalization Within the Veterans Health Administration: a Pragmatic Retrospective Cohort Analysis

BACKGROUND

Hospitalization of patients with opioid use disorder (OUD) is increasing, yet little is known about opioid agonist therapy (OAT: methadone and buprenorphine) administration during admission.

OBJECTIVE

Describe and examine patient- and hospital-level characteristics associated with OAT receipt during hospitalization in the Veterans Health Administration (VHA).

PARTICIPANTS

A total of 12,407 unique patients, ≥ 18 years old, with an OUD-related ICD-10 diagnosis within 12 months prior to or during index hospitalization in fiscal year 2017 from 109 VHA hospitals in the continental U.S.

MAIN MEASURE

OAT received during hospitalization.

KEY RESULTS

Few admissions received OAT (n = 1914; 15%) and when provided it was most often for withdrawal management (n = 834; 7%). Among patients not on OAT prior to admission who survived hospitalization (n = 10,969), 2.0% (n = 203) were newly initiated on OAT with linkage to care after hospital discharge. Hospitals varied in the frequency of OAT delivery (range, 0 to 43% of qualified admissions). Patients with pre-admission OAT (adjusted odds ratio [AOR] = 15.30; 95% CI [13.2, 17.7]), acute OUD diagnosis (AOR = 2.3; 95% CI [1.99, 2.66]), and male gender (AOR 1.52; 95% CI [1.16, 2.01]) had increased odds of OAT receipt. Patients who received non-OAT opioids (AOR 0.53; 95% CI [0.46, 0.61]) or surgical procedures (AOR 0.75; 95% CI [0.57, 0.99]) had decreased odds of OAT receipt. Large-sized (AOR = 2.0; 95% CI [1.39, 3.00]) and medium-sized (AOR = 1.9; 95% CI [1.33, 2.70]) hospitals were more likely to provide OAT.

CONCLUSIONS

In a sample of VHA inpatient medical admissions, OAT delivery was infrequent, varied across the health system, and was associated with specific patient and hospital characteristics. Policy and educational interventions should promote hospital-based OAT delivery.

Diagnosis and Management of Opioid Use Disorder in Hospitalized Patients

The diagnosis of opioid use disorder (OUD) is often overlooked or inadequately managed during the inpatient admission. When recognized, a common strategy is opioid detoxification, an approach that is often ineffective and can be potentially dangerous because of loss of tolerance and subsequent risk for overdose. Medication for addiction treatment (MAT), including methadone and buprenorphine, is effective and can be dispensed in the hospital for both opioid withdrawal and initiation of maintenance treatment. Hospitalists should be knowledgeable about diagnosing and managing patients with OUD, including how to manage acute pain or MAT during the perioperative setting.

Multilevel Risk Factors for Hospital Readmission Among Patients With Opioid Use Disorder in Selected US States: Role of Socioeconomic Characteristics of Patients and Their Community

Research Objective

Using a multilevel framework, the study examines the association of socioeconomic characteristics of the individual and the community with all-cause 30-day readmission risks for patients hospitalized with a principal diagnosis of opioid use disorder (OUD).

Study Design

The study uses hospital discharge data of adult (18+) patients in 5 US states for 2014 from the Healthcare Cost and Utilization Project of the Agency for Healthcare Research and Quality, linked to community and hospital characteristics using data from Health Resources and Services Administration and American Hospital Association, respectively. A multilevel logistic regression model is applied on data pooled over 5 states adjusting for patient, hospital, and community characteristics.

Principal Findings

Higher primary care access, as measured by density of primary care providers, is associated with reduced readmission risks among patients with OUD. Medicare is associated with the highest readmission risk (odds ratio [OR] = 2.0, P < .01) compared to private coverage, while Medicaid coverage is also associated with elevated risk (OR = 1.71, P < .01). Being self-pay or covered by other payers carried a similar risk to private coverage. Urban patients had higher readmission rates than rural patients.

Conclusions

Patients' risk of readmission following hospitalization for OUD varies according to availability of primary care providers, expected payer, and geographic location. Understanding which patients are most at risk may allow policy makers to design interventions to prevent readmissions and improve patient outcomes. Future studies may wish to focus on understanding when a decreased readmission rate represents better patient outcomes and when it represents difficulty accessing health care.

Geriatric Opioid Harm Reduction: Interprofessional Student Learning Outcomes

Objective: Opioid harm reduction is increasingly important in the care of the older adults, who are at higher risk for negative opioid-related outcomes due to high prevalence of pain, multimorbidity, polypharmacy, and age-changes in metabolism. Our project aims to develop, implement, and evaluate an interprofessional opioid harm reduction service training. Method: This evaluation occurs in context of the Richmond Health and Wellness Program (RHWP), a community-based interprofessional wellness care coordination equity initiative, within buildings designated for low-income and disabled older adults. The geriatric opioid harm reduction training was delivered online and inperson, and followed up with case-discussions and practice. Findings: Pre (n = 69)/post (n = 62) student assessments indicated that after the training, there was an increase in knowledge. At follow-up, 60% recognized tramadol as an opioid, 50% at baseline. About 97% correctly indicated that MME represents morphine milligram equivalent, 80% at baseline. About 93% indicated that 50 MME level greatly increases opioid overdose risk, 62% at baseline. Only 20%, change from 60% at baseline, reported not being able to calculate MME at post assessment. Conclusion: Findings indicate that geriatric opioid harm reduction training within community-based wellness care coordination is feasible. Future works need to explore the impact on student practice in clinical settings and resident health.

Prescribing patterns before and after a non-fatal drug overdose using Tennessee's controlled substance monitoring database linked to hospital discharge data

We performed a statewide evaluation of prescribing patterns of controlled substances (CS) before and after an overdose, using Tennessee's Hospital Discharge Data System and the Controlled Substance Monitoring Database (CSMD). Adults' first non-fatal overdose discharges either from the emergency department (ED) or inpatient (IP) stay occurring between 2013 and 2016 were linked to prescriptions in the CSMD. The difference in the proportion of patients filling a prescription before versus after an overdose was calculated. Included were 49,398 patients with an overdose and a prescription record; most (60.5%) were treated in the ED. Among any drug type overdose the percentage of patients who filled a CS prescription within a year of experiencing an overdose was as follows: opioid analgesics: 59.1%, benzodiazepines: 37.3%, stimulants: 5.0%, muscle relaxants: 3.4%, concurrent opioid-benzodiazepines: 24.0% with the percent difference from before to after similar in both settings. Among patients treated for an opioid overdose, this represented a decrease in opioid analgesics filled by 9.7% (95%CI: -11.2, -8.3) among those treated in the ED, and by 7.1% (95% CI: -8.3, -5.9) among treated inpatients. Among patients treated for a heroin overdose, 12.2% (95%CI: -15.2, -9.3) fewer of those treated in the ED and 8.8% (95%CI: -15.0, -2.7%) fewer of treated inpatients filled a CS prescription in that year. The most common opioid analgesics included hydrocodone and oxycodone. The number of patients filling buprenorphine for treatment increased in the year after overdoses associated with any drug or opioids but decreased among those treated for a heroin overdose.

Suicidal motivations reported by opioid overdose survivors: A cross-sectional study of adults with opioid use disorder

BACKGROUND

Prior studies in heroin use disorder reported low rates (10%) of suicidal intention with non-fatal opioid overdose but did not assess dimensional ratings of suicidal ideation. This study aims to quantify the frequency and intensity of ratings of desire to die and perceived overdose risk proximal to the most recent opioid overdose event among individuals admitted for opioid use disorder detoxification/stabilization.

METHODS

Cross-sectional study (June 2017-July 2018) assessing patterns of opioid use and variables related to overdose history was conducted in a not-for-profit psychiatric hospital. Adults (>18 years) with opioid use disorder were eligible and 120 of 122 participants completed all measures. Forty-one percent were women and 85% self-identified as white. Participants' perceptions of the likelihood of overdose and their suicidal motivations (defined as desire to die) prior to most recent opioid overdose was self-rated on a scale of 0 (no desire to die/no risk of death) to 10 (I definitely wanted to die/I definitely thought I would die).

RESULTS

Most (92%) surviving opioid overdose used heroin/fentanyl; over half reported some desire to die prior to their most recent overdose, with 36% reporting strong (>7/10) desire to die and 21% reporting 10/10 "I definitely wanted to die." Perceptions of overdose risk were also variable, with 30% reporting no (0/10) likelihood of overdose and 13% reporting a high (10/10) likelihood.

CONCLUSIONS

Suicidal motivation prior to opioid overdose is common and falls along a continuum of severity. Longitudinal studies are needed to determine if suicide prevention interventions may reduce opioid overdose in those at risk.

Predictors of 30-day readmission in Stevens-Johnson syndrome and toxic epidermal necrolysis: A cross-sectional database study

BACKGROUND

The predictors of readmission in Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN) have not been characterized.

OBJECTIVE

To determine the variables predictive of 30-day readmission after SJS/TEN hospitalization.

METHODS

We performed a cross-sectional study of the 2010-2014 Nationwide Readmissions Database. Bivariate and multivariable logistic regression was used to evaluate associations of patient demographics, comorbidities, and hospital characteristics with readmission. Aggregate and per-readmission costs were calculated.

RESULTS

There were 8837 index admissions with SJS/TEN reported; of these, 910 (10.3%) were readmitted, with diagnoses including systemic infection (22.0%), SJS/TEN (20.6%), and cutaneous infection (9.1%). Associated characteristics included age 45 to 64 years (odds ratio [OR], 1.88; 95% confidence interval [CI], 1.43-2.49), Medicaid insurance (OR, 1.83; 95% CI, 1.48-2.27), and nonmetropolitan hospital admission (OR, 1.67; 95% CI, 1.31-2.13). Associated comorbidities included HIV/AIDS (OR, 2.48; 95% CI, 1.63-3.75), collagen vascular disease (OR, 2.38; 95% CI, 1.88-3.00), and metastatic cancer (OR, 2.16; 95% CI, 1.35-3.46). The median per-readmission cost was $10,019 (interquartile range, $4,788-$16,485).

LIMITATIONS

The Nationwide Readmissions Database lacks the ability to track the same patient across calendar years. The diagnostic code lacks specificity for hospitalizations <3 days.

CONCLUSIONS

Thirty-day readmissions after SJS/TEN hospitalizations are common. Dedicated efforts to identify at-risk patients may improve peridischarge continuity.