Literature Collection

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.

Caregivers and their children with clinical levels of feeding problems participated in Picnic Group, an outpatient interdisciplinary family group treatment program for children with feeding disorders and their caregivers at a large regional pediatric hospital. The manualized treatment is based on an interdisciplinary systematic approach that draws from sensory integration, communication, and cognitive behavioral strategies (e.g., classical conditioning, systematic desensitization, communication of automatic thoughts) to increase pleasurable interactions with food over a 12-week period and includes caregiver and child intervention components. Escape extinction techniques such as nonremoval of the spoon were not used in treatment. Caregivers completed measures focused on their children's feeding behaviors and family strain at baseline and at the end of the 12-week intervention. Wilcoxon signed-rank tests compared measures between baseline and the end of treatment. Results indicated that at the 12th week, caregivers generally reported one less feeding problem, fewer specific types of eating and mealtime problematic behaviors, and decreased impact of feeding problems on the family. Children were able to work up a hierarchy of food interactions with more foods per group session than at the first session. Caregivers of children with a developmental diagnosis showed the most decrease in caregiver strain. Outpatient interdisciplinary group treatment can decrease feeding problems and caregiver strain in families with children with feeding disorders.

INTRODUCTION: Rural primary care clinics can expand their medication treatment for opioid use disorder (MOUD) capacity by coordinating care with external telemedicine (TM) vendors specializing in addiction medicine. This study used mixed methods to identify factors that influence patient referrals from rural primary care clinics to TM vendors for MOUD. METHODS: Between July/August 2020 and January/February 2021, 582 patients with OUD were identified across six primary care sites; that included 68 referred to an external TM vendor to receive MOUD. Mixed effects logistic regression identified individual and site-level factors associated with being referred to the TM vendor. Clinic providers and staff participated in in-depth interviews and focus groups to discuss their considerations for referring patients to the TM vendor. RESULTS: Patient referrals were positively associated with local household broadband coverage (OR = 2.55, p < 0.001) and negatively associated with local population density (OR = 0.01, p  =  0.003) and the number of buprenorphine prescribers in the county (OR = 0.85, p < 0.001). Clinic personnel expressed appreciation for psychiatric expertise and the flexibility to access MOUD brought by the TM vendor. Perceived concerns about TM referral included a lack of trust with external providers, uncertainty about TM service quality, workflow delays, and patients' technological and insurance challenges. CONCLUSION: This study revealed several clinic-level factors that may potentially influence patient referral to TM vendor services for MOUD. To facilitate the referral process and utilization of TM vendors, efforts should be made to foster open communication and trust between clinic providers and TM vendors, streamline workflows, and improve Internet access for patients.

INTRODUCTION: Rural primary care clinics can expand their medication treatment for opioid use disorder (MOUD) capacity by coordinating care with external telemedicine (TM) vendors specializing in addiction medicine. This study used mixed methods to identify factors that influence patient referrals from rural primary care clinics to TM vendors for MOUD. METHODS: Between July/August 2020 and January/February 2021, 582 patients with OUD were identified across six primary care sites; that included 68 referred to an external TM vendor to receive MOUD. Mixed effects logistic regression identified individual and site-level factors associated with being referred to the TM vendor. Clinic providers and staff participated in in-depth interviews and focus groups to discuss their considerations for referring patients to the TM vendor. RESULTS: Patient referrals were positively associated with local household broadband coverage (OR = 2.55, p < 0.001) and negatively associated with local population density (OR = 0.01, p  =  0.003) and the number of buprenorphine prescribers in the county (OR = 0.85, p < 0.001). Clinic personnel expressed appreciation for psychiatric expertise and the flexibility to access MOUD brought by the TM vendor. Perceived concerns about TM referral included a lack of trust with external providers, uncertainty about TM service quality, workflow delays, and patients' technological and insurance challenges. CONCLUSION: This study revealed several clinic-level factors that may potentially influence patient referral to TM vendor services for MOUD. To facilitate the referral process and utilization of TM vendors, efforts should be made to foster open communication and trust between clinic providers and TM vendors, streamline workflows, and improve Internet access for patients.