Literature Collection
12K+
References
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Articles
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Grey Literature
4800+
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).
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 Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
The reduction of mental health stigma (MHS) was an expected benefit of integrating behavioral health in primary care (IPC). However, unlike other barriers discussed in agency reports on IPC, discussions of MHS lack research support. To fill this gap, the authors conducted a literature review identifying seven studies. Given the dearth of research, we also examine general IPC research on probable indicators of MHS reduction in IPC, as well as, facets of IPC potentially influencing MHS related factors negatively associated with help-seeking. Using the data from these three types of research, the evidence suggests the potential of IPC to reduce MHS impact on care utilization, but indicates it is premature to draw firm conclusions. Given the possible benefits of primary care and the known benefits of decreased MHS, this review highlights the importance of further research examining this question and provides specific research and program development recommendations.
OBJECTIVE: To evaluate a fast-track triage model in an integrated community specialty clinic to reduce the age of diagnosis for patients with autism spectrum disorder (ASD). STUDY DESIGN: A retrospective chart review was performed for patients seen in an integrated community specialty pediatric practice using a fast-track screening and triage model. The percentage of ASD diagnoses, age at diagnosis, and time from referral to diagnosis were evaluated. The fast-track triage model was compared with national and statewide estimates of median age of first evaluation and diagnosis. RESULTS: From January 1, 2020, through December 31, 2021, 189 children with a mean (SD) age of 32.2 (12.4) months were screened in the integrated community specialty. Of these, 82 (43.4%) children were referred through the fast-track triage for further evaluation in the developmental and behavioral pediatrics (DBP) department, where 62 (75.6%) were given a primary diagnosis of ASD. Average wait time from referral to diagnosis using the fast-track triage model was 6 months. Mean (SD) age at diagnosis was 37.7 (13.5) months. The median age of diagnosis by the fast-track triage model was 33 months compared with the national and state median ages of diagnosis at 49 and 59 months, respectively. CONCLUSIONS: With the known workforce shortage in fellowship-trained developmental behavioral pediatricians, the fast-track triage model is feasible and maintains quality of care while resulting in more timely diagnosis, and reducing burden on DBP by screening out cases who did not require further multidisciplinary DBP evaluation as they were appropriately managed by other areas.
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