Literature Collection
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Opioids & SU
The Literature Collection contains over 11,000 references for published and grey literature on the integration of behavioral health and primary care. Learn More
Use the Search feature below to find references for your terms across the entire Literature Collection, or limit your searches by Authors, Keywords, or Titles and by Year, Type, or Topic. View your search results as displayed, or use the options to: Show more references per page; Sort references by Title or Date; and Refine your search criteria. Expand an individual reference to View Details. Full-text access to the literature may be available through a link to PubMed, a DOI, or a URL. References may also be exported for use in bibliographic software (e.g., EndNote, RefWorks, Zotero).
BACKGROUND: Health system fragmentation directly contributes to poor health and social outcomes for older adults with multiple chronic conditions and their care partners. Older adults often require support from primary care, multiple specialists, home care, community support services, and other health-care sectors and communication between these providers is unstructured and not standardized. Integrated and interprofessional team-based models of care are a recommended strategy to improve health service delivery to older adults with complex needs. Standardized assessment instruments deployed on digital platforms are considered a necessary component of integrated care. The aim of this study was to develop strategies to leverage an electronic wellness instrument, interRAI Check Up Self Report, to support integrated health and social care for older adults and their care partners in a community in Southern Ontario, Canada. METHODS: Group concept mapping, a participatory mixed-methods approach, was conducted. Participants included older adults, care partners, and representatives from: home care, community support services, specialized geriatric services, primary care, and health informatics. In a series of virtual meetings, participants generated ideas to implement the interRAI Check Up and rated the relative importance of these ideas. Hierarchical cluster analysis was used to map the ideas into clusters of similar statements. Participants reviewed the map to co-create an action plan. RESULTS: Forty-one participants contributed to a cluster map of ten action areas (e.g., engagement of older adults and care partners, instrument's ease of use, accessibility of the assessment process, person-centred process, training and education for providers, provider coordination, health information integration, health system decision support and quality improvement, and privacy and confidentiality). The health system decision support cluster was rated as the lowest relative importance and the health information integration was cluster rated as the highest relative importance. CONCLUSIONS: Many person-, provider-, and system-level factors need to be considered when implementing and using an electronic wellness instrument across health- and social-care providers. These factors are highly relevant to the integration of other standardized instruments into interprofessional team care to ensure a compassionate care approach as technology is introduced.
This cross-sectional study uses a survey to estimate use of cannabis and other pain treatments among adults with chronic pain in areas with medical cannabis programs in 36 US states and Washington, DC.;eng National Institutes of Health, grants from the US Centers for Disease Control and Prevention, grants from the Michigan Department of Health and Human Services, grants from the Arnold Foundation, personal fees from Axial Healthcare, and grants from the Patient-Centered Outcomes Research Institute outside the submitted work. No other disclosures were reported.
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
An empiric evidence base is lacking regarding the relationship between insurance status, payment source, and outcomes among patients with opioid use disorder (OUD) on telehealth platforms. Such information gaps may lead to unintended impacts of policy changes. Following the phase-out of the COVID-19 Public Health Emergency, states were allowed to redetermine Medicaid eligibility and disenroll individuals. Yet, financial barriers remain a common and significant hurdle for patients with OUD and are associated with worse outcomes. We studied 3842 patients entering care in 2022 at Ophelia Health, one of the nation's largest OUD telehealth companies, to assess associations between insurance status and 6-month retention. In multivariable analyses, in-network patients who could use insurance benefits were more likely to be retained compared with cash-pay patients (adjusted risk ratio [aRR]: 1.50; 95% CI: 1.40-1.62; P < .001). Among a subsample of 882 patients for whom more detailed insurance data were available (due to phased-in electronic health record updates), in-network patients were also more likely to be retained at 6 months compared with insured, yet out-of-network patients (aRR: 1.86; 95% CI: 1.54-2.23; P < .001). Findings show that insurance status, and specifically the use of in-network benefits, is associated with superior retention and suggest that Medicaid disenrollment and insurance plan hesitation to engage with telehealth providers may undermine the nation's response to the opioid crisis.
IMPORTANCE: Medication for opioid use disorder (MOUD) is the criterion standard treatment for opioid use disorder (OUD), but nationally representative studies of MOUD use in the US are lacking. OBJECTIVE: To estimate MOUD use rates and identify associations between MOUD and individual characteristics among people who may have needed treatment for OUD. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional, nationally representative study using the 2019 National Survey on Drug Use and Health in the US. Participants included community-based, noninstitutionalized adolescent and adult respondents identified as individuals who may benefit from MOUD, defined as (1) meeting criteria for a past-year OUD, (2) reporting past-year MOUD use, or (3) receiving past-year specialty treatment for opioid use in the last or current treatment episode. MAIN OUTCOMES AND MEASURES: The main outcomes were treatment with MOUD compared with non-MOUD services and no treatment. Associations with sociodemographic characteristics (eg, age, race and ethnicity, sex, income, and urbanicity); substance use disorders; and past-year health care or criminal legal system contacts were analyzed. Multinomial logistic regression was used to compare characteristics of people receiving MOUD with those receiving non-MOUD services or no treatment. Models accounted for predisposing, enabling, and need characteristics. RESULTS: In the weighted sample of 2 206 169 people who may have needed OUD treatment (55.5% male; 8.0% Hispanic; 9.9% non-Hispanic Black; 74.6% non-Hispanic White; and 7.5% categorized as non-Hispanic other, with other including 2.7% Asian, 0.9% Native American or Alaska Native, 0.2% Native Hawaiian or Pacific Islander, and 3.8% multiracial), 55.1% were aged 35 years or older, 53.7% were publicly insured, 52.2% lived in a large metropolitan area, 56.8% had past-year prescription OUD, and 80.0% had 1 or more co-occurring substance use disorders (percentages are weighted). Only 27.8% of people needing OUD treatment received MOUD in the past year. Notably, no adolescents (aged 12-17 years) and only 13.2% of adults 50 years and older reported past-year MOUD use. Among adults, the likelihood of past-year MOUD receipt vs no treatment was lower for people aged 50 years and older vs 18 to 25 years (adjusted relative risk ratio [aRRR], 0.14; 95% CI, 0.05-0.41) or with middle or higher income (eg, $50 000-$74 999 vs $0-$19 999; aRRR, 0.18; 95% CI, 0.07-0.44). Compared with receiving non-MOUD services, receipt of MOUD was more likely among adults with at least some college (vs high school or less; aRRR, 2.94; 95% CI, 1.33-6.51) and less likely in small metropolitan areas (vs large metropolitan areas, aRRR, 0.41; 95% CI, 0.19-0.93). While contacts with the health care system (85.0%) and criminal legal system (60.5%) were common, most people encountering these systems did not report receiving MOUD (29.5% and 39.1%, respectively). CONCLUSIONS AND RELEVANCE: In this cross-sectional study, MOUD uptake was low among people who could have benefited from treatment, especially adolescents and older adults. The high prevalence of health care and criminal legal system contacts suggests that there are critical gaps in care delivery or linkage and that cross-system integrated interventions are warranted.
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