Literature Collection
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Grey Literature
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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: Citizens affected by substance use disorders are high-risk populations for both SARS-CoV-2 infection and COVID-19-related mortality. Relevant vulnerabilities to COVID-19 in people who suffer substance use disorders are described in previous communications. The COVID-19 pandemic offers a unique opportunity to reshape and update addiction treatment networks. MAIN BODY: Renewed treatment systems should be based on these seven pillars: (1) telemedicine and digital solutions, (2) hospitalization at home, (3) consultation-liaison psychiatric and addiction services, (4) harm-reduction facilities, (5) person-centered care, (6) promote paid work to improve quality of life in people with substance use disorders, and (7) integrated addiction care. The three "best buys" of the World Health Organization (reduce availability, increase prices, and a ban on advertising) are still valid. Additionally, new strategies must be implemented to systematically deal with (a) fake news concerning legal and illegal drugs and (b) controversial scientific information. CONCLUSION: The heroin pandemic four decades ago was the last time that addiction treatment systems were updated in many western countries. A revised and modernized addiction treatment network must include improved access to care, facilitated where appropriate by technology; more integrated care with addiction specialists supporting non-specialists; and reducing the stigma experienced by people with SUDs.

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.




IMPORTANCE: More than two-thirds of US adults who screen positive for depression in the primary care setting do not receive treatment. These adults need evidence-based and scalable interventions. OBJECTIVE: To determine the effectiveness of Moodivate, a self-directed digital intervention for mental health, in treating depression symptoms among patients in the primary care setting. DESIGN, SETTING, AND PARTICIPANTS: This 3-group decentralized randomized clinical trial recruited participants from September 22, 2021, to December 27, 2023, and completed data collection on March 29, 2024. Adult patients with at least moderate symptoms of depression on the Patient Health Questionnaire-9 (score ≥10) were enrolled from 22 primary care clinics in South Carolina. INTERVENTIONS: Participants received Moodivate (a digital behavioral activation intervention), Moodivate with health care provider access to information on patient use of the digital behavioral activation intervention in the electronic health record (EHR), or usual care for depression. MAIN OUTCOMES AND MEASURES: The primary outcome was a change in depression symptoms on the Beck Depression Inventory-II (BDI-II) over 12 weeks. Secondary outcomes included a clinically significant improvement in depression symptoms on the BDI-II (10-point decrease in score), depression remission on the BDI-II (score ≤13), digital behavioral activation intervention engagement, and primary care provider (a physician or other health care professional who is responsible for a patient's primary care) use of the EHR features. RESULTS: Among 649 participants, 495 (76%) were female and the mean (SD) age was 44.68 (15.22) years. Participants who received the digital behavioral activation intervention, with and without EHR integration, had significantly improved depression symptoms vs those who received usual care over 12 weeks (least squares mean change from baseline for Moodivate: -10.34; SE = 0.82; d = 0.98; Moodivate with EHR: -9.88; SE = 0.81; d = 0.93; usual care: -5.94; SE = -0.80; d = 0.54). Participants in the Moodivate groups had 2.5 to 3.0 times higher odds of having a clinically significant improvement in depression symptoms (Moodivate: OR, 2.98 [97.5% CI, 1.69-5.27]; P < .001; Moodivate with EHR: OR, 2.53 [97.5% CI, 1.45-4.41]; P < .001) and 2.3 to 2.6 times higher odds of experiencing depression remission (Moodivate: OR, 2.27 [97.5% CI, 1.16-4.44; P = .006; Moodivate with EHR: OR, 2.63 [97.5% CI, 1.38-5.04]; P < .001) than participants who received usual care. Participant engagement with Moodivate was high in the first month (68% to 100% weekly retention), and 33% of patients continued to use the digital behavioral activation intervention after 12 weeks. Fourteen percent of primary care providers who received access used the EHR functionality. CONCLUSIONS AND RELEVANCE: This randomized clinical trial found that a digital behavioral activation intervention is effective for treating adults with at least moderate symptoms of depression in the primary care setting. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04463914.
Grey literature is comprised of materials that are not made available through traditional publishing avenues. Examples of grey literature in the Repository of the Academy for the Integration of Mental Health and Primary Care include: reports, dissertations, presentations, newsletters, and websites. This grey literature reference is included in the Repository in keeping with our mission to gather all sources of information on integration. Often the information from unpublished resources is limited and the risk of bias cannot be determined.
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