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1.
J Rural Health ; 2023 Apr 19.
Article in English | MEDLINE | ID: covidwho-2296640

ABSTRACT

PURPOSE: The use of telemedicine (TM) has accelerated in recent years, yet research on the implementation and effectiveness of TM-delivered medication treatment for opioid use disorder (MOUD) has been limited. This study investigated the feasibility of implementing a care coordination model involving MOUD delivered via an external TM provider for the purpose of expanding access to MOUD for patients in rural settings. METHODS: The study tested a care coordination model in 6 rural primary care sites by establishing referral and coordination between the clinic and a TM company for MOUD. The intervention spanned approximately 6 months from July/August 2020 to January 2021, coinciding with the peak of the COVID-19 pandemic. Each clinic tracked patients with OUD in a registry during the intervention period. A pre-/post-intervention design (N = 6) was used to assess the clinic-level outcome as patient-days on MOUD based on patient electronic health records. FINDINGS: All clinics implemented critical components of the intervention, with an overall TM referral rate of 11.7% among patients in the registry. Five of the 6 sites showed an increase in patient-days on MOUD during the intervention period compared to the 6-month period before the intervention (mean increase per 1,000 patients: 132 days, P = .08, Cohen's d = 0.55). The largest increases occurred in clinics that lacked MOUD capacity or had a greater number of patients initiating MOUD during the intervention period. CONCLUSIONS: To expand access to MOUD in rural settings, the care coordination model is most effective when implemented in clinics that have negligible or limited MOUD capacity.

2.
J Addict Med ; 2023 Mar 02.
Article in English | MEDLINE | ID: covidwho-2269715

ABSTRACT

OBJECTIVE: The coronavirus disease 2019 (COVID-19) pandemic necessitated changes in opioid use disorder care. Little is known about COVID-19's impact on general healthcare clinicians' experiences providing medication treatment for opioid use disorder (MOUD). This qualitative evaluation assessed clinicians' beliefs about and experiences delivering MOUD in general healthcare clinics during COVID-19. METHODS: Individual semistructured interviews were conducted May through December 2020 with clinicians participating in a Department of Veterans Affairs initiative to implement MOUD in general healthcare clinics. Participants included 30 clinicians from 21 clinics (9 primary care, 10 pain, and 2 mental health). Interviews were analyzed using thematic analysis. RESULTS: The following 4 themes were identified: overall impact of the pandemic on MOUD care and patient well-being, features of MOUD care impacted, MOUD care delivery, and continuance of telehealth for MOUD care. Clinicians reported a rapid shift to telehealth care, resulting in few changes to patient assessments, MOUD initiations, and access to and quality of care. Although technological challenges were noted, clinicians highlighted positive experiences, including treatment destigmatization, more timely visits, and insight into patients' environments. Such changes resulted in more relaxed clinical interactions and improved clinic efficiency. Clinicians reported a preference for in-person and telehealth hybrid care models. CONCLUSIONS: After the quick shift to telehealth-based MOUD delivery, general healthcare clinicians reported few impacts on quality of care and highlighted several benefits that may address common barriers to MOUD care. Evaluations of in-person and telehealth hybrid care models, clinical outcomes, equity, and patient perspectives are needed to inform MOUD services moving forward.

3.
BMC Health Serv Res ; 22(1): 1500, 2022 Dec 09.
Article in English | MEDLINE | ID: covidwho-2196253

ABSTRACT

OBJECTIVE: The Department of Veterans Affairs' (VA) electronic health records (EHR) offer a rich source of big data to study medical and health care questions, but patient eligibility and preferences may limit generalizability of findings. We therefore examined the representativeness of VA veterans by comparing veterans using VA healthcare services to those who do not. METHODS: We analyzed data on 3051 veteran participants age ≥ 18 years in the 2019 National Health Interview Survey. Weighted logistic regression was used to model participant characteristics, health conditions, pain, and self-reported health by past year VA healthcare use and generate predicted marginal prevalences, which were used to calculate Cohen's d of group differences in absolute risk by past-year VA healthcare use. RESULTS: Among veterans, 30.4% had past-year VA healthcare use. Veterans with lower income and members of racial/ethnic minority groups were more likely to report past-year VA healthcare use. Health conditions overrepresented in past-year VA healthcare users included chronic medical conditions (80.6% vs. 69.4%, d = 0.36), pain (78.9% vs. 65.9%; d = 0.35), mental distress (11.6% vs. 5.9%; d = 0.47), anxiety (10.8% vs. 4.1%; d = 0.67), and fair/poor self-reported health (27.9% vs. 18.0%; d = 0.40). CONCLUSIONS: Heterogeneity in veteran sociodemographic and health characteristics was observed by past-year VA healthcare use. Researchers working with VA EHR data should consider how the patient selection process may relate to the exposures and outcomes under study. Statistical reweighting may be needed to generalize risk estimates from the VA EHR data to the overall veteran population.


Subject(s)
United States Department of Veterans Affairs , Veterans , United States/epidemiology , Humans , Adolescent , Electronic Health Records , Ethnicity , Health Services Accessibility , Minority Groups , Pain
4.
J Subst Abuse Treat ; 143: 108896, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2105480

ABSTRACT

BACKGROUND: Methadone is one of the most utilized treatments for opioid use disorder. However, requirements for observing methadone dosing can impose barriers to patients and increase risk for respiratory illness transmission (e.g., COVID-19). Video observation of methadone dosing at home could allow opioid treatment programs (OTPs) to offer more take-home doses while ensuring patient safety through remote observation of ingestion. METHODS: Between April and August 2020, a clinical pilot program of video observation of methadone take-home dosing via smartphone was conducted within a multisite OTP agency. Participating patients completed a COVID-19 symptom screener and submitted video recordings of themselves ingesting all methadone take-home doses. Patients who followed these procedures for a two-week trial period could continue participating in the full pilot program and potentially receive more take-home doses. This retrospective observational study characterizes patient engagement and compares clinical outcomes with matched controls. RESULTS: Of 44 patients who initiated the two-week trial, 33 (75 %) were successful and continued participating in the full pilot program. Twenty full pilot participants (61 %) received increased take-home doses. Full pilot participants had more days with observed dosing over a 60-day period than matched controls (mean = 53.2 vs. 16.6 days, respectively). Clinical outcomes were similar between pilot participants and matched controls. CONCLUSIONS: Video observation of methadone take-home dosing implemented during the COVID-19 pandemic was feasible. This model has the potential to enhance safety by increasing rates of observed methadone dosing and reducing infection risks and barriers associated with relying solely on face-to-face observation of methadone dosing.


Subject(s)
COVID-19 , Opioid-Related Disorders , Humans , Methadone , Pandemics , Feasibility Studies , Pilot Projects , Opioid-Related Disorders/drug therapy , Opioid-Related Disorders/rehabilitation , Analgesics, Opioid/therapeutic use , Opiate Substitution Treatment/methods
5.
Journal of substance abuse treatment ; 2022.
Article in English | EuropePMC | ID: covidwho-2045658

ABSTRACT

Background Methadone is one of the most utilized treatments for opioid use disorder. However, requirements for observing methadone dosing can impose barriers to patients and increase risk for respiratory illness transmission (e.g., COVID-19). Video observation of methadone dosing at home could allow opioid treatment programs (OTPs) to offer more take-home doses while ensuring patient safety through remote observation of ingestion. Methods Between April and August 2020, a clinical pilot program of video observation of methadone take-home dosing via smartphone was conducted within a multisite OTP agency. Participating patients completed a COVID-19 symptom screener and submitted video recordings of themselves ingesting all methadone take-home doses. Patients who followed these procedures for a two-week trial period could continue participating in the full pilot program and potentially receive more take-home doses. This retrospective observational study characterizes patient engagement and compares clinical outcomes with matched controls. Results Of 44 patients who initiated the two-week trial, 33 (75 %) were successful and continued participating in the full pilot program. Twenty full pilot participants (61 %) received increased take-home doses. Full pilot participants had more days with observed dosing over a 60-day period than matched controls (mean = 53.2 vs. 16.6 days, respectively). Clinical outcomes were similar between pilot participants and matched controls. Conclusions Video observation of methadone take-home dosing implemented during the COVID-19 pandemic was feasible. This model has the potential to enhance safety by increasing rates of observed methadone dosing and reducing infection risks and barriers associated with relying solely on face-to-face observation of methadone dosing.

6.
Drug Alcohol Depend ; 234: 109383, 2022 05 01.
Article in English | MEDLINE | ID: covidwho-1778084

ABSTRACT

BACKGROUND: Substance use disorders (SUD) elevate the risk for COVID-19 hospitalization, but studies are inconsistent on the relationship of SUD to COVID-19 mortality. METHODS: Veterans Health Administration (VHA) patients treated in 2019 and evaluated in 2020 for COVID-19 (n=5,556,315), of whom 62,303 (1.1%) tested positive for COVID-19 (COVID-19+). Outcomes were COVID-19+ by 11/01/20, hospitalization, ICU admission, or death within 60 days of a positive test. Main predictors were any ICD-10-CM SUDs, with substance-specific SUDs (cannabis, cocaine, opioid, stimulant, sedative) explored individually. Logistic regression produced unadjusted and covariate-adjusted odds ratios (OR; aOR). RESULTS: Among COVID-19+ patients, 19.25% were hospitalized, 7.71% admitted to ICU, and 5.84% died. In unadjusted models, any SUD and all substance-specific SUDs except cannabis use disorder were associated with COVID-19+(ORs=1.06-1.85); adjusted models produced similar results. Any SUD and all substance-specific SUDs were associated with hospitalization (aORs: 1.24-1.91). Any SUD, cocaine and opioid disorder were associated with ICU admission in unadjusted but not adjusted models. Any SUD, cannabis, cocaine, and stimulant disorders were inversely associated with mortality in unadjusted models (OR=0.27-0.46). After adjustment, associations with mortality were no longer significant. In ad hoc analyses, adjusted odds of mortality were lower among the 49.9% of COVID-19+ patients with SUD who had SUD treatment in 2019, but not among those without such treatment. CONCLUSIONS: In VHA patients, SUDs are associated with COVID-19 hospitalization but not COVID-19 mortality. SUD treatment may provide closer monitoring of care, ensuring that these patients received needed medical attention, enabling them to ultimately survive serious illness.


Subject(s)
COVID-19 , Cocaine , Substance-Related Disorders , Veterans , Analgesics, Opioid/adverse effects , COVID-19/epidemiology , Electronic Health Records , Humans , Substance-Related Disorders/epidemiology , Veterans Health
7.
Addict Sci Clin Pract ; 17(1): 6, 2022 01 31.
Article in English | MEDLINE | ID: covidwho-1662427

ABSTRACT

BACKGROUND: To address the US opioid epidemic, there is an urgent clinical need to provide persons with opioid use disorder (OUD) with effective medication treatments for OUD (MOUD). Formulations of sublingual buprenorphine/naloxone (SL-BUP/NLX) are considered the standard of care for OUD including within the Veterans Healthcare Administration (VHA). However, poor retention on MOUD undermines its effectiveness. Long-acting injectable monthly buprenorphine (INJ-BUP) (e.g., Sublocade®) has the potential to improve retention and therefore reduce opioid use and overdose. Designing and conducting studies for OUD pose unique challenges. The strategies and solutions to some of these considerations in designing Cooperative Studies Program (CSP) 2014, Buprenorphine for Treating Opioid Use Disorder in Veterans (VA-BRAVE), a randomized, 20-site, clinical effectiveness trial comparing INJ-BUP to SL-BUP/NLX conducted within the VHA may provide valuable guidance for others confronted with similar investigation challenges. METHODS: This 52-week, parallel group, open-label, randomized controlled trial (RCT) evaluates the comparative effectiveness of two current FDA-approved formulations of buprenorphine: (1) daily SL-BUP/NLX vs. (2) monthly (28-day) INJ-BUP for Veterans with moderate to severe OUD (n = 952). The primary outcomes are (1) retention in MOUD and (2) opioid abstinence. Secondary outcomes include measures of other drug use, psychiatric symptoms, medical outcomes including prevalence rates of HIV, hepatitis B and C as well as social outcomes (housing instability, criminal justice involvement), service utilization and cost-effectiveness. Special considerations in conducting a comparative effectiveness trial with this population and during COVID-19 pandemic were also included. DISCUSSION: The evaluation of the extended-release formulation of buprenorphine compared to the standard sublingual formulation in real-world VHA settings is of paramount importance in addressing the opioid epidemic. The extent to which this new treatment facilitates retention, decreases opioid use, and prevents severe sequelae of OUD has not been studied in any long-term trial to date. Positive findings in this trial could lead to widespread adoption of MOUD, and, if proven superior INJ-BUP, by clinicians throughout the VHA and beyond. This treatment has the potential to reduce opioid use among Veterans, improve medical, psychological, and social outcomes, and save lives at justifiable cost. Trial registration Registered at Clinicaltrials.gov NCT04375033.


Subject(s)
Buprenorphine , COVID-19 , Opioid-Related Disorders , Veterans , Buprenorphine/therapeutic use , Humans , Narcotic Antagonists/therapeutic use , Opioid-Related Disorders/drug therapy , SARS-CoV-2
8.
Addict Sci Clin Pract ; 16(1): 55, 2021 09 06.
Article in English | MEDLINE | ID: covidwho-1430481

ABSTRACT

BACKGROUND: Improving access to medication treatment of opioid use disorder (MOUD) is a national priority, yet common modifiable barriers (e.g., limited provider knowledge, negative beliefs about MOUD) often challenge implementation of MOUD delivery. To address these barriers, the VA launched a multifaceted implementation intervention focused on planning and educational strategies to increase MOUD delivery in 18 medical facilities. The purpose of this investigation was to determine if a multifaceted intervention approach to increase MOUD delivery changed providers' perceptions about MOUD over the first year of implementation. METHODS: Cross-disciplinary teams of clinic providers and leadership from primary care, pain, and mental health clinics at 18 VA medical facilities received invitations to complete an anonymous, electronic survey prior to intervention launch (baseline) and at 12- month follow-up. Responses were summarized using descriptive statistics, and changes over time were compared using regression models adjusted for gender and prescriber status, and clustered on facility. Responses to open-ended questions were thematically analyzed using a template analysis approach. RESULTS: Survey response rates at baseline and follow-up were 57.1% (56/98) and 50.4% (61/121), respectively. At both time points, most respondents agreed that MOUD delivery is important (94.7 vs. 86.9%), lifesaving (92.8 vs. 88.5%) and evidence-based (85.2 vs. 89.5%). Over one-third (37.5%) viewed MOUD delivery as time-consuming, and only 53.7% affirmed that clinic providers wanted to prescribe MOUD at baseline; similar responses were seen at follow-up (34.5 and 52.4%, respectively). Respondents rated their knowledge about OUD, comfort discussing opioid use with patients, job satisfaction, ability to help patients with OUD, and support from colleagues favorably at both time points. Respondents' ratings of MOUD delivery filling a gap in care were high but declined significantly from baseline to follow-up (85.7 vs. 73.7%, p < 0.04). Open-ended responses identified implementation barriers including lack of support to diagnose and treat OUD and lack of time. CONCLUSIONS: Although perceptions about MOUD generally were positive, targeted education and planning strategies did not improve providers' and clinical leaders' perceptions of MOUD over time. Strategies that improve leaders' prioritization and support of MOUD and address time constraints related to delivering MOUD may increase access to MOUD in non-substance use treatment clinics.


Subject(s)
Buprenorphine , Opioid-Related Disorders , Veterans , Humans , Opioid-Related Disorders/drug therapy , Primary Health Care
9.
Addict Sci Clin Pract ; 16(1): 24, 2021 04 20.
Article in English | MEDLINE | ID: covidwho-1195932

ABSTRACT

Telemedicine (TM) enabled by digital health technologies to provide medical services has been considered a key solution to increasing health care access in rural communities. With the immediate need for remote care due to the COVID-19 pandemic, many health care systems have rapidly incorporated digital technologies to support the delivery of remote care options, including medication treatment for individuals with opioid use disorder (OUD). In responding to the opioid crisis and the COVID-19 pandemic, public health officials and scientific communities strongly support and advocate for greater use of TM-based medication treatment for opioid use disorder (MOUD) to improve access to care and have suggested that broad use of TM during the pandemic should be sustained. Nevertheless, research on the implementation and effectiveness of TM-based MOUD has been limited. To address this knowledge gap, the National Drug Abuse Treatment Clinical Trials Network (CTN) funded (via the NIH HEAL Initiative) a study on Rural Expansion of Medication Treatment for Opioid Use Disorder (Rural MOUD; CTN-0102) to investigate the implementation and effectiveness of adding TM-based MOUD to rural primary care for expanding access to MOUD. In preparation for this large-scale, randomized controlled trial incorporating TM in rural primary care, a feasibility study is being conducted to develop and pilot test implementation procedures. In this commentary, we share some of our experiences, which include several challenges, during the initial two-month period of the feasibility study phase. While these challenges could be due, at least in part, to adjusting to the COVID-19 pandemic and new workflows to accommodate the study, they are notable and could have a substantial impact on the larger, planned pragmatic trial and on TM-based MOUD more broadly. Challenges include low rates of identification of risk for OUD from screening, low rates of referral to TM, digital device and internet access issues, workflow and capacity barriers, and insurance coverage. These challenges also highlight the lack of empirical guidance for best TM practice and quality remote care models. With TM expanding rapidly, understanding implementation and demonstrating what TM approaches are effective are critical for ensuring the best care for persons with OUD.


Subject(s)
COVID-19/epidemiology , Health Services Accessibility/organization & administration , Opiate Substitution Treatment/statistics & numerical data , Opioid-Related Disorders/therapy , Rural Population/statistics & numerical data , Telemedicine/organization & administration , Feasibility Studies , Humans
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