Literature Collection
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Opioids & SU
The Literature Collection contains over 10,000 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).
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
Integrating behavioral health services within pediatric primary care may help address barriers to these services for youth, especially the underserved. Models of primary care behavioral health include coordinated, colocated, integrated, and collaborative care. This study began exploring the comparative utility of these models by investigating differences in the demographics and diagnoses of patients seen for a behavioral health warm handoff (integrated model) and a scheduled behavioral health visit (colocated model) across 3 pediatric primary care sites. The 3 sites differed in their rates of warm handoff usage, and there were differences in certain diagnoses given at warm handoffs versus scheduled visits. Depression diagnoses were more likely to be given in warm handoffs, and disruptive behavior, trauma/adjustment, and attention-deficit/hyperactivity disorder-related diagnoses were more likely to be given in scheduled visits. These results have implications for the influence of office structure and standardized procedures on behavioral health models used in pediatric primary care.
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![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
Substance use-related harms including drug overdose deaths and new cases of human immunodeficiency virus (HIV) and hepatitis C (HCV) are increasing in the US. Syringe services programs (SSPs) started in the 1980s as community-based efforts to distribute sterile syringes and provide safe injection information to people who inject drugs (PWID) in response to rising HIV infection rates. SSPs are guided by harm reduction principles, which aim to mitigate the negative consequences of drug use. The term SSP broadly refers to the provision of sterile syringes and other supplies and is inclusive of any setting that provides these supplies for the intended injection of drugs. The present report is an attempt to provide an overall picture of what is known about the benefits and potential harms of SSPs, which has been an active area of research for the past 4 decades. This report was requested by the VA Offices of Mental Health and Suicide Prevention, Research and Development, and Specialty Care Services to inform VA efforts to meet the goals of the Office of National Drug Control Policy and to implement best practices for harm reduction in VHA settings.
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
![Pubmed](/themes/custom/academy2020/images/pubmed_img.png)
INTRODUCTION: The RAINBOW randomized clinical trial validated the efficacy of an integrated collaborative care intervention for obesity and depression in primary care, although the effect was modest. To inform intervention optimization, this study investigated within-treatment variability in participant engagement and progress. METHODS: Data were collected in 2014-2017 and analyzed post hoc in 2018. Cluster analysis evaluated patterns of change in weekly self-monitored weight from week 6 up to week 52 and depression scores on the Patient Health Questionnaire-9 (PHQ-9) from up to 15 individual sessions during the 12-month intervention. Chi-square tests and ANOVA compared weight loss and depression outcomes objectively measured by blinded assessors to validate differences among categories of treatment engagement and progress defined based on cluster analysis results. RESULTS: Among 204 intervention participants (50.9 [SD, 12.2] years, 71% female, 72% non-Hispanic White, BMI 36.7 [6.9], PHQ-9 14.1 [3.2]), 31% (n = 63) had poor engagement, on average completing self-monitored weight in <3 of 46 weeks and <5 of 15 sessions. Among them, 50 (79%) discontinued the intervention by session 6 (week 8). Engaged participants (n = 141; 69%) self-monitored weight for 11-22 weeks, attended almost all 15 sessions, but showed variable treatment progress based on patterns of change in self-monitored weight and PHQ-9 scores over 12 months. Three patterns of weight change (%) represented minimal weight loss (n = 50, linear β1 = -0.06, quadratic β2 = 0.001), moderate weight loss (n = 61, β1 = -0.28, β2 = 0.002), and substantial weight loss (n = 12, β1 = -0.53, β2 = 0.005). Three patterns of change in PHQ-9 scores represented moderate depression without treatment progress (n = 40, intercept β0 = 11.05, β1 = -0.11, β2 = 0.002), moderate depression with treatment progress (n = 20, β0 = 12.90, β1 = -0.42, β2 = 0.006), and milder depression with treatment progress (n = 81, β0 = 7.41, β1 = -0.23, β2 = 0.003). The patterns diverged within 6-8 weeks and persisted throughout the intervention. Objectively measured weight loss and depression outcomes were significantly worse among participants with poor engagement or poor progress on either weight or PHQ-9 than those showing progress on both. CONCLUSIONS: Participants demonstrating poor engagement or poor progress could be identified early during the intervention and were more likely to fail treatment at the end of the intervention. This insight could inform individualized and timely optimization to enhance treatment efficacy. TRIAL REGISTRATION: ClinicalTrials.gov# NCT02246413.