Literature Collection
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References
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Articles
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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
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BACKGROUND: Comorbid physical and mental health problems are common across the age spectrum. However, services addressing these health concerns are typically siloed and disconnected. Over the past 2 decades efforts have been made to design integrated services to address the physical and mental health needs of the population but little is known about the characteristics of effective integrated care models. The aim of the review was to map the design of integrated care initiatives/models and to describe how the models were evaluated and their evaluation findings. METHOD: Using a scoping review methodology, quantitative and qualitative evidence was systematically considered. To identify studies, Medline, PubMed, PsychINFO, CINAHL were searched for the period from 2003 to 2018, and reference lists of included studies and review articles were examined. RESULTS: The current review identified 43 studies, describing 37 models of integrated physical and mental healthcare. Although modest in terms of evaluation design, it is evident that models are well received by consumers and providers, increase service access, and improve physical and mental health outcomes. Key characteristics of models include shared information technology, financial integration, a single-entry point, colocated care, multidisciplinary teams, multidisciplinary meetings, care coordination, joint treatment plan, joint treatment, joint assessment/joint assessment document, agreed referral criteria and person-centred care. Although mostly modest in term of research design, models were well received by consumers and providers, increased service access and improved physical and mental health outcomes. There was no clear evidence regarding whether models of integrated care are cost neutral, increase or reduce costs. CONCLUSION: Future research is needed to identify the elements of integrated care that are associated with outcomes, measure cost implications and identify the experiences and priorities of consumers and clinicians.

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.


OBJECTIVES: Many behavioral health providers (BHPs) in primary care practices spend a majority of their time addressing mental health rather than behavior change. We wanted to better understand the practice of BHPs in integrated primary care. METHODS: Survey of BHPs from practices participating in the Colorado State Innovation Model (SIM) initiative. The survey measured what diagnoses BHPs receive referrals to treat, what they treat regardless of referral reason, which techniques they use, and think are most effective for mental health diagnoses and behavior change/weight management support, and their interest in providing support for weight management. Results were analyzed using descriptive statistics and Spearman correlations. RESULTS: We received 79 surveys representing 64 out of 248 SIM practices (practice response rate of 26%). BHPs reported addressing health-related behaviors with patients referred to them for mental health diagnoses. They expressed interest in health behavior and believed the techniques they use for traditional mental health diagnoses also support behavior change. Most reported using cognitive behavioral therapy (89%), mindfulness (94%), and relaxation/stress management (94%). Time in practice was associated with receiving more referrals for weight management (rho(76) = .271, P = .018) and with addressing diet (rho(75) = .339, P = .003) and weight management (rho(75) = .323, P = .005). BHPs in practices that had care managers were more likely to report receiving referrals for weight management than BHPs in practices that did not employ a case manager (rτ(76) = .222, P = .038); practices employing a health coach were more likely to receive referrals for physical activity than practices without a health coach (rτ(76) = .257, P = .015). CONCLUSIONS: BHPs are interested in and frequently address health related behavior. Formalizing health behavior services from BHPs in primary care may provide opportunities to better support patients with behavior change and subsequently improve health outcomes.
The present study investigates the organization of primary care behavioral health within student health centers and assesses the relationship between organizational structure and practice integration among physical and mental health services. Methods: We collaborated with the American College Health Association to distribute a 54 item survey to representatives of each ACHA member institution. Results: A total of 189 (26.3%) surveys were obtained and included 86 (46%) integrated (health/counseling) centers and 101 (54%) nonintegrated centers. Significant differences in levels of practice integration were noted between these two groups. Significant correlations were found between levels of practice integration and the presence of behavioral health staff. Conclusions: The organization and delivery of physical and behavioral healthcare services for students is considerably integrated and collaborative. Adding behavioral health clinicians to the primary care college health setting increases integrated care practice without embarking on full administrative integration of physical and mental health services.
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.