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1.
Addict Sci Clin Pract ; 19(1): 29, 2024 Apr 11.
Article in English | MEDLINE | ID: mdl-38600571

ABSTRACT

BACKGROUND: Hospitalizations involving opioid use disorder (OUD) are increasing. Medications for opioid use disorder (MOUD) reduce mortality and acute care utilization. Hospitalization is a reachable moment for initiating MOUD and arranging for ongoing MOUD engagement following hospital discharge. Despite existing quality metrics for MOUD initiation and engagement, few hospitals provide hospital based opioid treatment (HBOT). This protocol describes a cluster-randomized hybrid type-2 implementation study comparing low-intensity and high-intensity implementation support strategies to help community hospitals implement HBOT. METHODS: Four state implementation hubs with expertise in initiating HBOT programs will provide implementation support to 24 community hospitals (6 hospitals/hub) interested in starting HBOT. Community hospitals will be randomized to 24-months of either a low-intensity intervention (distribution of an HBOT best-practice manual, a lecture series based on the manual, referral to publicly available resources, and on-demand technical assistance) or a high-intensity intervention (the low-intensity intervention plus funding for a hospital HBOT champion and regular practice facilitation sessions with an expert hub). The primary efficacy outcome, adapted from the National Committee on Quality Assurance, is the proportion of patients engaged in MOUD 34-days following hospital discharge. Secondary and exploratory outcomes include acute care utilization, non-fatal overdose, death, MOUD engagement at various time points, hospital length of stay, and discharges against medical advice. Primary, secondary, and exploratory outcomes will be derived from state Medicaid data. Implementation outcomes, barriers, and facilitators are assessed via longitudinal surveys, qualitative interviews, practice facilitation contact logs, and HBOT sustainability metrics. We hypothesize that the proportion of patients receiving care at hospitals randomized to the high-intensity arm will have greater MOUD engagement following hospital discharge. DISCUSSION: Initiation of MOUD during hospitalization improves MOUD engagement post hospitalization. Few studies, however, have tested different implementation strategies on HBOT uptake, outcome, and sustainability and only one to date has tested implementation of a specific type of HBOT (addiction consultation services). This cluster-randomized study comparing different intensities of HBOT implementation support will inform hospitals and policymakers in identifying effective strategies for promoting HBOT dissemination and adoption in community hospitals. TRIAL REGISTRATION: NCT04921787.


Subject(s)
Buprenorphine , Opioid-Related Disorders , Humans , Hospitals , Opioid-Related Disorders/drug therapy , Analgesics, Opioid/therapeutic use , Hospitalization , Patients , Opiate Substitution Treatment , Randomized Controlled Trials as Topic
2.
J Addict Med ; 2024 Mar 18.
Article in English | MEDLINE | ID: mdl-38498619

ABSTRACT

ABSTRACT: People with substance use disorders (SUDs) are increasingly admitted to general hospitals; however, many hospital systems lack both formal structures and skilled staff to provide high-quality care for inpatients with SUDs. Inpatient addiction consult services (ACSs), which are increasingly being implemented around the country, are an evidence-based strategy to add focused care for people with SUDs into the general medical setting. In 2018, New York City Health + Hospitals (H + H) launched an ACS program called Consult for Addiction Care and Treatment in Hospitals in six hospitals, supported by a team of addiction consult experts to deliver teaching and technical assistance (TTA) for the Consult for Addiction Care and Treatment in Hospitals ACSs. This commentary describes the TTA, which included site visits, introductory educational lectures, case conferences, ad hoc support, implementation assistance, and the creation of an addiction care guide. Similar TTA services could be used in the future when hospitals or systems want to launch novel clinical programs.

3.
PLoS One ; 19(3): e0300183, 2024.
Article in English | MEDLINE | ID: mdl-38498563

ABSTRACT

This protocol outlines a proposed scoping review to characterize evidence on implementation and quality improvement (QI) strategies that aim to improve equitable, evidence-informed care delivery for pregnant and birthing people with substance use disorder (SUD) in acute care. Untreated SUD during pregnancy is associated with an increased risk of overdose and severe maternal morbidity. Acute care settings are one important place to deliver equitable, evidence-informed clinical care. While clinical practice guidelines for substance use treatment and care of pregnant and birthing people with SUD exist, there are gaps in implementation. Our population of interest is pregnant and birthing people with SUD in an acute care setting. We will include US-based studies that describe or evaluate implementation or QI strategies, including experimental, observational, and descriptive studies published from 2016 to 2023. The proposed scoping review will be conducted in accordance with JBI methodology for scoping reviews and registered at OSF (registration number: BC4VZ). We will search MEDLINE (PubMed), CINAHL Complete (EBSCO), Scopus (Elsevier), and APA PsychInfo (Ovid) for published studies. Conference proceedings and Perinatal Quality Collaborative websites will be searched for grey literature. Two reviewers will independently screen then extract studies that meet inclusion criteria using a data extraction tool. The completion of this scoping review will help illuminate strengths and gaps in research and practice that aim to inform substance use treatment and care in acute care settings for pregnant and birthing people with SUD.


Subject(s)
Drug Overdose , Substance-Related Disorders , Pregnancy , Female , Humans , Substance-Related Disorders/therapy , Delivery of Health Care/methods , Review Literature as Topic
4.
Addict Sci Clin Pract ; 18(1): 70, 2023 11 18.
Article in English | MEDLINE | ID: mdl-37980494

ABSTRACT

BACKGROUND: Preventing progression to moderate or severe opioid use disorder (OUD) among people who exhibit risky opioid use behavior that does not meet criteria for treatment with opioid agonists or antagonists (subthreshold OUD) is poorly understood. The Subthreshold Opioid Use Disorder Prevention (STOP) Trial is designed to study the efficacy of a collaborative care intervention to reduce risky opioid use and to prevent progression to moderate or severe OUD in adult primary care patients with subthreshold OUD. METHODS: The STOP trial is a cluster randomized controlled trial, randomized at the PCP level, conducted in 5 distinct geographic sites. STOP tests the efficacy of the STOP intervention in comparison to enhanced usual care (EUC) in adult primary care patients with risky opioid use that does not meet criteria for moderate-severe OUD. The STOP intervention consists of (1) a practice-embedded nurse care manager (NCM) who provides patient participant education and supports primary care providers (PCPs) in engaging and monitoring patient-participants; (2) brief advice, delivered to patient participants by their PCP and/or prerecorded video message, about health risks of opioid misuse; and (3) up to 6 sessions of telephone health coaching to motivate and support behavior change. EUC consists of primary care treatment as usual, plus printed overdose prevention educational materials and an educational video on cancer screening. The primary outcome measure is self-reported number of days of risky (illicit or nonmedical) opioid use over 180 days, assessed monthly via text message using items from the Addiction Severity Index and the Current Opioid Misuse Measure. Secondary outcomes assess other substance use, mental health, quality of life, and healthcare utilization as well as PCP prescribing and monitoring behaviors. A mixed effects negative binomial model with a log link will be fit to estimate the difference in means between treatment and control groups using an intent-to-treat population. DISCUSSION: Given a growing interest in interventions for the management of patients with risky opioid use, and the need for primary care-based interventions, this study potentially offers a blueprint for a feasible and effective approach to improving outcomes in this population. TRIAL REGISTRATION: Clinicaltrials.gov, identifier NCT04218201, January 6, 2020.


Subject(s)
Analgesics, Opioid , Opioid-Related Disorders , Adult , Humans , Analgesics, Opioid/adverse effects , Quality of Life , Opioid-Related Disorders/drug therapy , Research Design , Patient Acceptance of Health Care
5.
Addict Sci Clin Pract ; 18(1): 67, 2023 11 02.
Article in English | MEDLINE | ID: mdl-37919755

ABSTRACT

BACKGROUND: Acute-care interventions that identify patients with substance use disorders (SUDs), initiate treatment, and link patients to community-based services, have proliferated in recent years. Yet, much is unknown about the specific strategies being used to support continuity of care from emergency department (ED) or inpatient hospital settings to community-based SUD treatment. In this scoping review, we synthesize the existing literature on patient transition interventions, and form an initial typology of reported strategies. METHODS: We searched Pubmed, Embase, CINAHL and PsychINFO for peer-reviewed articles published between 2000 and 2021 that studied interventions linking patients with SUD from ED or inpatient hospital settings to community-based SUD services. Eligible articles measured at least one post-discharge treatment outcome and included a description of the strategy used to promote linkage to community care. Detailed information was extracted on the components of the transition strategies and a thematic coding process was used to categorize strategies into a typology based on shared characteristics. Facilitators and barriers to transitions of care were synthesized using the Consolidated Framework for Implementation Research. RESULTS: Forty-five articles met inclusion criteria. 62% included ED interventions and 44% inpatient interventions. The majority focused on patients with opioid (71%) or alcohol (31%) use disorder. The transition strategies reported across studies were heterogeneous and often not well described. An initial typology of ten transition strategies, including five pre- and five post-discharge transition strategies is proposed. The most common strategy was scheduling an appointment with a community-based treatment provider prior to discharge. A range of facilitators and barriers were described, which can inform efforts to improve hospital-to-community transitions of care. CONCLUSIONS: Strategies to support transitions from acute-care to community-based SUD services, although critical for ensuring continuity of care, vary greatly across interventions and are inconsistently measured and described. More research is needed to classify SUD care transition strategies, understand their components, and explore which lead to the best patient outcomes.


Subject(s)
Patient Transfer , Substance-Related Disorders , Humans , Patient Discharge , Aftercare , Substance-Related Disorders/therapy , Analgesics, Opioid
6.
JAMA Intern Med ; 183(12): 1343-1354, 2023 Dec 01.
Article in English | MEDLINE | ID: mdl-37902748

ABSTRACT

Importance: Few primary care (PC) practices treat patients with medications for opioid use disorder (OUD) despite availability of effective treatments. Objective: To assess whether implementation of the Massachusetts model of nurse care management for OUD in PC increases OUD treatment with buprenorphine or extended-release injectable naltrexone and secondarily decreases acute care utilization. Design, Setting, and Participants: The Primary Care Opioid Use Disorders Treatment (PROUD) trial was a mixed-methods, implementation-effectiveness cluster randomized clinical trial conducted in 6 diverse health systems across 5 US states (New York, Florida, Michigan, Texas, and Washington). Two PC clinics in each system were randomized to intervention or usual care (UC) stratified by system (5 systems were notified on February 28, 2018, and 1 system with delayed data use agreement on August 31, 2018). Data were obtained from electronic health records and insurance claims. An implementation monitoring team collected qualitative data. Primary care patients were included if they were 16 to 90 years old and visited a participating clinic from up to 3 years before a system's randomization date through 2 years after. Intervention: The PROUD intervention included 3 components: (1) salary for a full-time OUD nurse care manager; (2) training and technical assistance for nurse care managers; and (3) 3 or more PC clinicians agreeing to prescribe buprenorphine. Main Outcomes and Measures: The primary outcome was a clinic-level measure of patient-years of OUD treatment (buprenorphine or extended-release injectable naltrexone) per 10 000 PC patients during the 2 years postrandomization (follow-up). The secondary outcome, among patients with OUD prerandomization, was a patient-level measure of the number of days of acute care utilization during follow-up. Results: During the baseline period, a total of 130 623 patients were seen in intervention clinics (mean [SD] age, 48.6 [17.7] years; 59.7% female), and 159 459 patients were seen in UC clinics (mean [SD] age, 47.2 [17.5] years; 63.0% female). Intervention clinics provided 8.2 (95% CI, 5.4-∞) more patient-years of OUD treatment per 10 000 PC patients compared with UC clinics (P = .002). Most of the benefit accrued in 2 health systems and in patients new to clinics (5.8 [95% CI, 1.3-∞] more patient-years) or newly treated for OUD postrandomization (8.3 [95% CI, 4.3-∞] more patient-years). Qualitative data indicated that keys to successful implementation included broad commitment to treat OUD in PC from system leaders and PC teams, full financial coverage for OUD treatment, and straightforward pathways for patients to access nurse care managers. Acute care utilization did not differ between intervention and UC clinics (relative rate, 1.16; 95% CI, 0.47-2.92; P = .70). Conclusions and Relevance: The PROUD cluster randomized clinical trial intervention meaningfully increased PC OUD treatment, albeit unevenly across health systems; however, it did not decrease acute care utilization among patients with OUD. Trial Registration: ClinicalTrials.gov Identifier: NCT03407638.


Subject(s)
Buprenorphine , Opioid-Related Disorders , Humans , Female , Middle Aged , Adolescent , Young Adult , Adult , Aged , Aged, 80 and over , Male , Naltrexone/therapeutic use , Opiate Substitution Treatment/methods , Leadership , Opioid-Related Disorders/drug therapy , Buprenorphine/therapeutic use
7.
Addict Sci Clin Pract ; 18(1): 56, 2023 09 20.
Article in English | MEDLINE | ID: mdl-37726839

ABSTRACT

BACKGROUND: Screening for substance use in rural primary care clinics faces unique challenges due to limited resources, high patient volumes, and multiple demands on providers. To explore the potential for electronic health record (EHR)-integrated screening in this context, we conducted an implementation feasibility study with a rural federally-qualified health center (FQHC) in Maine. This was an ancillary study to a NIDA Clinical Trials Network study of screening in urban primary care clinics (CTN-0062). METHODS: Researchers worked with stakeholders from three FQHC clinics to define and implement their optimal screening approach. Clinics used the Tobacco, Alcohol, Prescription Medication, and Other Substance (TAPS) Tool, completed on tablet computers in the waiting room, and results were immediately recorded in the EHR. Adult patients presenting for annual preventive care visits, but not those with other visit types, were eligible for screening. Data were analyzed for the first 12 months following implementation at each clinic to assess screening rates and prevalence of reported unhealthy substance use, and documentation of counseling using an EHR-integrated clinical decision support tool, for patients screening positive for moderate-high risk alcohol or drug use. RESULTS: Screening was completed by 3749 patients, representing 93.4% of those with screening-eligible annual preventive care visits, and 18.5% of adult patients presenting for any type of primary care visit. Screening was self-administered in 92.9% of cases. The prevalence of moderate-high risk substance use detected on screening was 14.6% for tobacco, 30.4% for alcohol, 10.8% for cannabis, 0.3% for illicit drugs, and 0.6% for non-medical use of prescription drugs. Brief substance use counseling was documented for 17.4% of patients with any moderate-high risk alcohol or drug use. CONCLUSIONS: Self-administered EHR-integrated screening was feasible to implement, and detected substantial alcohol, cannabis, and tobacco use in rural FQHC clinics. Counseling was documented for a minority of patients with moderate-high risk use, possibly indicating a need for better support of primary care providers in addressing substance use. There is potential to broaden the reach of screening by offering it at routine medical visits rather than restricting to annual preventive care visits, within these and other rural primary care clinics.


Subject(s)
Cannabis , Illicit Drugs , Substance-Related Disorders , Humans , Adult , Ethanol , Substance-Related Disorders/diagnosis , Substance-Related Disorders/epidemiology , Primary Health Care
8.
BMJ ; 382: e073713, 2023 08 16.
Article in English | MEDLINE | ID: mdl-37586742

ABSTRACT

OBJECTIVE: To estimate the effects of providing access to an alcohol intervention based on a smartphone. DESIGN: Randomised controlled trial.. SETTING: Four higher education institutions in Switzerland. PARTICIPANTS: 1770 students (≥18 years) who screened positive for unhealthy alcohol use (ie, a score on the alcohol use disorders identification test-consumption (AUDIT-C) of ≥4 for men and ≥3 for women) were randomly assigned by 1:1 allocation ratio in blocks of 10. INTERVENTION: Providing access to a brief, smartphone based alcohol intervention. OUTCOME MEASURES: The primary outcome studied was number of standard drinks per week at six months and the secondary outcome was number of heavy drinking days (past 30 days). Additional outcomes were maximum number of drinks consumed on one occasion, alcohol related consequences, and academic performance. Follow-up assessments occurred at months three, six, and 12. Data were analysed by intention to treat and by using generalised linear mixed models with random intercepts for the recruitment site and participants nested within the recruitment site, and with intervention (v control), time (three months v six months; 12 months v six months), and baseline outcome values as fixed effects. RESULTS: Between 26 April 26 2021 and 30 May 2022, 1770 participants (intervention group (n=884); control group (n=886)) were included. Mean age was 22.4 years (standard deviation 3.07); 958 (54.1%) were women; and 1169 (66.0%) were undergraduate students, 533 (30.1%) were studying for a master's degree, 43 (2.4%) were studying for a doctorate, and 25 (1.4%) were students of other higher education programme. The baseline mean number of standard drinks per week was 8.59 (standard deviation 8.18); the baseline number of heavy drinking days was 3.53 (4.02). Of 1770 participants, follow-up rates were 1706 (96.4%) at three months, 1697 (95.9%) at six months, and 1660 (93.8%) at 12 months. Of 884 students randomly assigned to the intervention group, 738 (83.5%) downloaded the smartphone application. The intervention had a significant overall effect on the number of standard drinks per week (incidence rate ratio 0.90 (95% confidence interval 0.85 to 0.96)), heavy drinking days (0.89 (0.83 to 0.96)), and the maximum number of drinks consumed on one occasion (0.96 (0.93 to 1.00), P=0.029), indicating significantly lower drinking outcomes in the intervention group than in the control group during the follow-up period. The intervention did not affect alcohol related consequences or academic performance. CONCLUSIONS: Providing access to the smartphone application throughout the 12 month follow-up was effective at limiting the average drinking volume of university students who had self-reported unhealthy alcohol use at baseline. TRIAL REGISTRATION: ISRCTN 10007691.


Subject(s)
Alcoholism , Smartphone , Male , Humans , Female , Young Adult , Adult , Alcohol Drinking/epidemiology , Alcohol Drinking/prevention & control , Alcoholism/therapy , Secondary Prevention , Universities , Ethanol , Students
9.
J Addict Med ; 17(4): 471-473, 2023.
Article in English | MEDLINE | ID: mdl-37579113

ABSTRACT

OBJECTIVES: This secondary analysis evaluated opioid-specific validation results of the Tobacco, Alcohol, Prescription Medication, and Other Substances (TAPS) tool for screening in primary care. METHODS: This study is a secondary data analysis of the TAPS validation study. Performance of the TAPS tool for screening for unhealthy opioid use (with a score of 1+ for heroin and/or prescription opioids representing a positive screen) was evaluated. Discriminative ability was examined in comparison with reference standard measures across the spectrum of unhealthy opioid use: timeline follow-back with and without oral fluid testing identifying past-month use and the modified Composite International Diagnostic Interview for past-year problem use, opioid use disorder (OUD), and moderate-severe OUD. RESULTS: In a sample of 2000 primary care patients, 114 screened positive for opioids on the TAPS tool. With a TAPS cutoff equal to 1+, the TAPS accurately identified past-month use, problem use, any OUD, and moderate-severe OUD (sensitivities = 68%-85%, specificities = 97%-98%, area under the curve = 0.80-0.91). When past-month use was expanded to include timeline follow-back with oral fluid testing, accuracy declined (52% sensitivity [95% confidence interval, 43%-60%], 98% specific [95% confidence interval, 97%-98%]). CONCLUSIONS: While further testing in a larger population sample may be warranted, given their brevity, simplicity, and accuracy when self-administered, the TAPS opioid items can be used in primary care settings for a spectrum of unhealthy opioid use; however, self-disclosure remains an issue in primary care settings.


Subject(s)
Opioid-Related Disorders , Prescription Drugs , Tobacco Use Disorder , Adult , Humans , Analgesics, Opioid/adverse effects , Opioid-Related Disorders/diagnosis , Opioid-Related Disorders/epidemiology , Ethanol , Prescriptions
10.
J Health Care Poor Underserved ; 34(1): 180-191, 2023.
Article in English | MEDLINE | ID: mdl-37464488

ABSTRACT

BACKGROUND: Despite high rates of substance use among justice-involved populations, the use of substance screening tools in justice settings varies. METHODS: Data are from the National Jail Health Care Study, which surveyed jails across the U.S. about their health care practices (n=371). Jails were asked to voluntarily submit their medical intake forms. A content analysis of intake forms (n=63) specific to questions about substance use was completed. RESULTS: Seventy-three percent (73%) of intake forms used non-standardized questions to assess current substance use, and 27% did not ask any questions about substance use. Alcohol use was most assessed (52%), followed by tobacco (30%), and marijuana (22%). Less than 11% of jails asked about use of opioids and 40% of forms asked about withdrawal history. CONCLUSIONS: The lack of adequate substance use screening in jails hinders identification of substance use disorders, potential for withdrawal symptoms, and appropriate connection to treatment resources.


Subject(s)
Prisoners , Substance-Related Disorders , Humans , Jails , Prisons , Substance-Related Disorders/diagnosis , Substance-Related Disorders/epidemiology , Delivery of Health Care
11.
J Addict Med ; 17(3): 339-341, 2023.
Article in English | MEDLINE | ID: mdl-37267184

ABSTRACT

OBJECTIVES: Behavioral health diagnoses are frequently underreported in administrative health data. For a pragmatic trial of a hospital addiction consult program, we sought to determine the sensitivity of Medicaid claims data for identifying patients with opioid use disorder (OUD). METHODS: A structured review of electronic health record (EHR) data was conducted to identify patients with OUD in 6 New York City public hospitals. Cases selected for review were adults admitted to medical/surgical inpatient units who received methadone or sublingual buprenorphine in the hospital. For cases with OUD based on EHR review, we searched for the hospitalization in Medicaid claims data and examined International Classification of Diseases, Tenth Revision discharge diagnosis codes to identify opioid diagnoses (OUD, opioid poisoning, or opioid-related adverse events). Sensitivity of Medicaid claims data for capturing OUD hospitalizations was calculated using EHR review findings as the reference standard measure. RESULTS: Among 552 cases with OUD based on EHR review, 465 (84.2%) were found in the Medicaid claims data, of which 418 (89.9%) had an opioid discharge diagnosis. Opioid diagnoses were the primary diagnosis in 49 cases (11.7%), whereas in the remainder, they were secondary diagnoses. CONCLUSION: In this sample of hospitalized patients receiving OUD medications, Medicaid claims seem to have good sensitivity for capturing opioid diagnoses. Although the sensitivity of claims data may vary, it can potentially be a valuable source of information about OUD patients.


Subject(s)
Buprenorphine , Opioid-Related Disorders , Adult , United States/epidemiology , Humans , Analgesics, Opioid/therapeutic use , Medicaid , New York City/epidemiology , Opioid-Related Disorders/diagnosis , Opioid-Related Disorders/epidemiology , Opioid-Related Disorders/drug therapy , Buprenorphine/therapeutic use , Hospitalization , Hospitals, Public , Opiate Substitution Treatment
12.
medRxiv ; 2023 Jun 25.
Article in English | MEDLINE | ID: mdl-37162840

ABSTRACT

Background: Acute-care interventions that identify patients with substance use disorders (SUDs), initiate treatment, and link patients to community-based services, have proliferated in recent years. Yet, much is unknown about the specific strategies being used to support continuity of care from emergency department (ED) or inpatient hospital settings to community-based SUD treatment. In this scoping review, we synthesize the existing literature on patient transition interventions, and form an initial typology of reported strategies. Methods: We searched Pubmed, Embase, CINAHL and PsychINFO for peer-reviewed articles published between 2000-2021 that studied interventions linking SUD patients from ED or inpatient hospital settings to community-based SUD services. Eligible articles measured at least one post-discharge treatment outcome and included a description of the strategy used to promote linkage to community care. Detailed information was extracted on the components of the transition strategies and a thematic coding process was used to categorize strategies into a typology based on shared characteristics. Facilitators and barriers to transitions of care were synthesized using the Consolidated Framework for Implementation Research. Results: Forty-five articles met inclusion criteria. 62% included ED interventions and 44% inpatient interventions. The majority focused on patients with opioid (71%) followed by alcohol (31%) use disorder. The transition strategies reported across studies were heterogeneous and often not well described. An initial typology of ten transition strategies, including five pre- and five post-discharge transition strategies is proposed. The most common strategy was scheduling an appointment with a community-based treatment provider prior to discharge. A range of facilitators and barriers were described, which can inform efforts to improve hospital-to-community transitions of care. Conclusions: Strategies to support transitions from acute-care to community-based SUD services, although critical for ensuring continuity of care, vary greatly across interventions and are inconsistently measured and described. More research is needed to classify SUD care transition strategies, understand their components, and explore which lead to the best patient outcomes.

13.
J Behav Health Serv Res ; 50(4): 540-547, 2023 10.
Article in English | MEDLINE | ID: mdl-37106160

ABSTRACT

During the initial COVID-19 surge, one public hospital in NYC updated their post-discharge outreach approach for patients with substance use disorder, as part of the CATCH (Consult for Addiction Treatment and Care in Hospitals) program. Beginning April 1, 2020, three peers and two addiction counselors attempted telephonic outreach to patients who received a CATCH consultation during hospitalization from program launch (October 7, 2019) through March 31, 2020 (n = 329). Outreach calls could include counseling, in-depth peer support, and referrals to substance use services (SUS)-a significant expansion of the services offered via outreach pre-pandemic. CATCH staff successfully reached 29.5% of patients and provided 77.6% of them with supportive counseling and referrals. Thirty percent of unsuccessful calls were due to inactive numbers, and only 8% of patients without housing were reached. Telephonic outreach established a low-barrier connection between patients and SUS that may be valuable during any period, including non-COVID times. Future interventions that address social determinants such as housing and cell phone access concomitantly with substance use should be considered by addiction consultation services to potentially reduce acute care utilization and improve health outcomes.


Subject(s)
COVID-19 , Substance-Related Disorders , Humans , Pandemics , Patient Discharge , Aftercare , Hospitalization , Substance-Related Disorders/epidemiology , Substance-Related Disorders/therapy
14.
JMIR Hum Factors ; 10: e41088, 2023 Mar 07.
Article in English | MEDLINE | ID: mdl-36881448

ABSTRACT

BACKGROUND: Despite considerable efforts devoted to the development of prevention interventions aiming at reducing unhealthy alcohol use in tertiary students, their delivery remains often challenging. Interventions including information technology are promising given their potential to reach large parts of the population. OBJECTIVE: This study aims to develop a secondary prevention smartphone app with an iterative qualitative design involving the target population. METHODS: The app development process included testing a first prototype and a second prototype, developed based on the results of 2 consecutive qualitative assessments. Participants (aged ≥18 years, screened positive for unhealthy alcohol use) were students from 4 tertiary education institutions in the French-speaking part of Switzerland. Participants tested prototype 1 or prototype 2 or both and provided feedback in 1-to-1 semistructured interviews after 2-3 weeks of testing. RESULTS: The mean age of the participants was 23.3 years. A total of 9 students (4/9 female) tested prototype 1 and participated in qualitative interviews. A total of 11 students (6/11 female) tested prototype 2 (6 who tested prototype 1 and 5 new) and participated in semistructured interviews. Content analysis identified 6 main themes: "General Acceptance of the App," "Importance of the Targeted and Relevant App Content," "Importance of Credibility," "Importance of the App Usability," "Importance of a Simple and Attractive Design," "Importance of Notifications to Ensure App Use over Time." Besides a general acceptance of the app, these themes reflected participants' recommendations toward increased usability; to improve the design; to include useful and rewarding contents; to make the app look serious and credible; and to add notifications to ensure its use over time. A total of 11 students tested prototype 2 (6 who tested prototype 1 and 5 new) and participated in semistructured interviews. The 6 same themes emerged from the analysis. Participants from phase 1 generally found the design and content of the app improved. CONCLUSIONS: Students recommend prevention smartphone apps to be easy to use, useful, rewarding, serious, and credible. These findings may be important to consider when developing prevention smartphone apps to increase the likelihood of app use over time. TRIAL REGISTRATION: ISRCTN registry 10007691; https://www.isrctn.com/ISRCTN10007691. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s13063-020-4145-2.

15.
Contemp Clin Trials ; 126: 107111, 2023 03.
Article in English | MEDLINE | ID: mdl-36746325

ABSTRACT

BACKGROUND: Patients presenting to emergency departments (EDs) after a nonfatal opioid-involved overdose are at high risk for future overdose and death. Responding to this risk, the New York City (NYC) Department of Health and Mental Hygiene operates the Relay initiative, which dispatches trained peer "Wellness Advocates" to meet patients in the ED after a suspected opioid-involved overdose and follow them for up to 90 days to provide support, education, referrals to treatment, and other resources using a harm reduction framework. METHODS: In this article, we describe the protocol for a multisite randomized controlled trial of Relay. Study participants are recruited from four NYC EDs and are randomized to receive the Relay intervention or site-directed care (the control arm). Outcomes are assessed through survey questionnaires conducted at 1-, 3-, and 6-months after the baseline visit, as well as through administrative health data. The primary outcome is the number of opioid-related adverse events, including any opioid-involved overdose or any other substance use-related ED visit, in the 12 months post-baseline. Secondary and exploratory outcomes will also be analyzed, as well as hypothesized mediators and moderators of Relay program effectiveness. CONCLUSION: We present the protocol for a multisite randomized controlled trial of a peer-delivered OD prevention intervention in EDs. We describe how the study was designed to minimize disruption to routine ED operations, and how the study was implemented and adapted during the COVID-19 pandemic. This trial is registered with ClinicalTrials.gov [NCT04317053].


Subject(s)
COVID-19 , Drug Overdose , Opiate Overdose , Opioid-Related Disorders , Humans , Analgesics, Opioid/therapeutic use , Drug Overdose/prevention & control , Emergency Service, Hospital , Opiate Overdose/drug therapy , Opioid-Related Disorders/drug therapy , Pandemics , Randomized Controlled Trials as Topic , Multicenter Studies as Topic
16.
Drug Alcohol Depend ; 241: 109657, 2022 Dec 01.
Article in English | MEDLINE | ID: mdl-36332588

ABSTRACT

BACKGROUND: Evidence maps are emerging data visualization of a systematic review. There are no published evidence maps summarizing opioid use disorder (OUD) interventions. AIM: Our aim was to publish an interactive summary of all peer-reviewed interventional and observational trials assessing the treatment of OUD and common clinical outcomes. METHODS: PubMed, Embase, PsycInfo, Cochrane Central Register of Clinical Trials, and Web of Science were queried using multiple OUD-related MESH terms, without date limitations, for English-language publications. Inclusions were human subjects, treatment of OUD, OUD patient or community-level outcomes, and systematic reviews of OUD interventions. Exclusions were laboratory studies, reviews, and case reports. Two reviewers independently scanned abstracts for inclusion before coding eligible full-text articles by pre-specified filters: research design, study population, study setting, intervention, outcomes, sample size, study duration, geographical region, and funding sources. RESULTS: The OUD Evidence Map (https://med.nyu.edu/research/lee-lab/research/opioid-use-disorder-treatment-evidence-map) identified and assessed 12,933 relevant abstracts through 2020. We excluded 9455 abstracts and full text reviewed 2839 manuscripts; 888 were excluded, 1591 were included in the final evidence map. The most studied OUD interventions were methadone (n = 754 studies), buprenorphine (n = 499), and naltrexone (n = 134). The most common outcomes were heroin/opioid use (n = 708), treatment retention (n = 557), and non-opioid drug use (n = 368). Clear gaps included a wider array of opioid agonists for treatment, digital behavioral interventions, studies of OUD treatments in criminal justice settings, and overdose as a clinical outcome. CONCLUSION: This OUD Evidence Map highlights the importance of pharmacologic interventions for OUD and reductions in opioid use. Future iterations will update results annually and scan policy-level interventions.


Subject(s)
Buprenorphine , Opioid-Related Disorders , Humans , Opiate Substitution Treatment/methods , Analgesics, Opioid/therapeutic use , Opioid-Related Disorders/drug therapy , Opioid-Related Disorders/rehabilitation , Buprenorphine/therapeutic use , Methadone/therapeutic use , Naltrexone/therapeutic use
17.
J Subst Abuse Treat ; 143: 108830, 2022 12.
Article in English | MEDLINE | ID: mdl-35773113

ABSTRACT

OBJECTIVE: Polysubstance use may complicate treatment outcomes for individuals who use opioids. This research aimed to examine the prevalence of polysubstance use in an opioid use disorder treatment trial population and polysubstance use's association with opioid relapse and craving. METHODS: This study is a secondary data analysis of individuals with opioid use disorder who received at least one dose of medication (n = 474) as part of a 24-week, multi-site, open label, randomized Clinical Trials Network study (CTN0051, X:BOT) comparing the effectiveness of extended-release naltrexone versus buprenorphine. Models examined pretreatment polysubstance use and polysubstance use during the initial 4 weeks of treatment on outcomes of relapse by week 24 of the treatment trial and opioid craving. RESULTS: Polysubstance use was generally not associated with treatment outcomes of opioid relapse and craving. Proportion of days of pretreatment sedative use was associated with increased likelihood of opioid relapse (OR: 1.01, 95 % CI: 1.00-1.02). Proportion of days of cocaine use during the initial 4 weeks of treatment was associated with increased likelihood of opioid relapse (OR: 1.05, 95 % CI: 1.01-1.09) but this effect was no longer significant once the potential of confounding by opioid use was considered. Sedative use during initial 4 weeks of treatment was associated with increased opioid craving (b: 0.77, 95 % CI: 0.01-1.52). The study found no other significant relationships. CONCLUSIONS: In the current study population, polysubstance use was only marginally associated with 24-week treatment outcomes.


Subject(s)
Narcotic Antagonists , Opioid-Related Disorders , Humans , Narcotic Antagonists/therapeutic use , Analgesics, Opioid/therapeutic use , Prevalence , Delayed-Action Preparations/therapeutic use , Opioid-Related Disorders/drug therapy , Opioid-Related Disorders/epidemiology , Naltrexone/therapeutic use , Treatment Outcome , Injections, Intramuscular , Recurrence , Hypnotics and Sedatives/therapeutic use
18.
J Gen Intern Med ; 37(11): 2821-2833, 2022 08.
Article in English | MEDLINE | ID: mdl-35534663

ABSTRACT

BACKGROUND: There is pressing need to improve hospital-based addiction care. Various models for integrating substance use disorder care into hospital settings exist, but there is no framework for describing, selecting, or comparing models. We sought to fill that gap by constructing a taxonomy of hospital-based addiction care models based on scoping literature review and key informant interviews. METHODS: Methods included a scoping review of the literature on US hospital-based addiction care models and interventions for adults, published between January 2000 and July 2021. We conducted semi-structured interviews with 15 key informants experienced in leading, implementing, evaluating, andpracticing hospital-based addiction care to explore model characteristics, including their perceived strengths, limitations, and implementation considerations. We synthesized findings from the literature review and interviews to construct a taxonomy of model types. RESULTS: Searches identified 2,849 unique abstracts. Of these, we reviewed 280 full text articles, of which 76 were included in the final review. We added 8 references from reference lists and informant interviews, and 4 gray literature sources. We identified six distinct hospital-based addiction care models. Those classified as addiction consult models include (1) interprofessional addiction consult services, (2) psychiatry consult liaison services, and (3) individual consultant models. Those classified as practice-based models, wherein general hospital staff integrate addiction care into usual practice, include (4) hospital-based opioid treatment and (5) hospital-based alcohol treatment. The final type was (6) community-based in-reach, wherein community providers deliver care. Models vary in their target patient population, staffing, and core clinical and systems change activities. Limitations include that some models have overlapping characteristics and variable ways of delivering core components. DISCUSSION: A taxonomy provides hospital clinicians and administrators, researchers, and policy-makers with a framework to describe, compare, and select models for implementing hospital-based addiction care and measure outcomes.


Subject(s)
Behavior, Addictive , Psychiatry , Substance-Related Disorders , Adult , Behavior, Addictive/diagnosis , Behavior, Addictive/epidemiology , Behavior, Addictive/therapy , Hospitals , Humans , Psychiatry/methods , Referral and Consultation , Substance-Related Disorders/epidemiology , Substance-Related Disorders/therapy
19.
Subst Use Misuse ; 57(8): 1337-1340, 2022.
Article in English | MEDLINE | ID: mdl-35481461

ABSTRACT

Background: This study evaluated clinical outcomes of a low barrier tele-buprenorphine bridge program for NYC residents with opioid use disorder (OUD) at 1 year during the coronavirus disease 2019 (COVID-19) pandemic. Methods and materials: This retrospective analysis of the NYC Health + Hospitals (NYC H + H) Virtual Buprenorphine Clinic registry assessed baseline demographic and clinical characteristics, rates of referrals to community treatment, and induction-related adverse events among city residents with OUD, from March 2020 to the end of March 2021. Results: The program enrolled 199 patients, of whom 62.3% were provided same-day visits (n = 124). Patients were enrolled in the program for a median of 14 days (range 0-130 days). Referrals sources included hospital and clinic staff (n = 83, 47.7%), word of mouth (n = 30, 17.2%), and correctional health or reentry services (n = 30, 17.2%). Induction-related adverse events were mostly limited to precipitated withdrawal symptoms (n = 21, 5%). Roughly half of patients were referred to community treatment (n = 109, 54.8%) and of those 51.4% (n = 56/109) completed at least one visit in community treatment. Discussion: Our experience indicates that a low threshold tele-buprenorphine bridge program in place of a safe and feasible approach to facilitating entry in community treatment for underserved people who use opioids in a large metropolitan area.


Subject(s)
Buprenorphine , COVID-19 , Opioid-Related Disorders , Buprenorphine/therapeutic use , Hospitals, Public , Humans , Opiate Substitution Treatment , Opioid-Related Disorders/drug therapy , Retrospective Studies , SARS-CoV-2
20.
J Addict Med ; 16(1): e59-e61, 2022.
Article in English | MEDLINE | ID: mdl-35120069

ABSTRACT

Criminal justice involved individuals have a high rate of opioid overdose death following release. In March 2020, New York City jails released over 1000 inmates due to concern of COVID-19 outbreaks in county jails. The closure of addiction treatment clinics further complicated efforts to expand access to medications for opioid use disorder among criminal justice involved adults. The New York City Health + Hospitals Virtual Buprenorphine Clinic established in March 2020 offered low-threshold telemedicine-based opioid treatment with buprenorphine-naloxone, specifically for criminal justice involved adults post-release. We describe a case report of the novel role of tele-conferencing for the provision of buprenorphine-naloxone for jail-released adults with opioid use disorder experiencing homelessness during the COVID-19 pandemic. The patient is a 49-year-old male with severe opioid use disorder released from New York City jail as part of its early release program. He then started using diverted buprenorphine-naloxone, and 1 month later a harm-reduction specialist at his temporary housing at a hotel referred him to an affiliated buprenorphine provider and then eventually to the New York City Health + Hospitals Virtual Buprenorphine Clinic, where he was continued on buprenorphine-naloxone, and was followed biweekly thereafter until being referred to an office-based opioid treatment program. For this patient, telemedicine-based opioid treatment offered a safe and feasible approach to accessing medication for opioid use disorder during the COVID-19 pandemic and following incarceration.


Subject(s)
Buprenorphine , COVID-19 , Opioid-Related Disorders , Telemedicine , Adult , Analgesics, Opioid/therapeutic use , Buprenorphine/therapeutic use , Criminal Law , Humans , Male , Middle Aged , Opiate Substitution Treatment , Opioid-Related Disorders/drug therapy , Opioid-Related Disorders/epidemiology , Pandemics , SARS-CoV-2
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