Nidey, Nichole

Abstract Background and Objectives Implementation of screening, brief intervention, and referral to treatment (SBIRT) for substance use in primary care remains challenging. Care coordination (CC) may strengthen SBIRT by supporting brief interventions, improving referral follow‐through, and enhancing continuity. CC models and outcomes vary, however, and no prior scoping review has synthesized these. Methods A comprehensive search of 10 resources, including Embase, MEDLINE, and PsycINFO, was conducted on 4/15/2025. Eligible studies described outpatient SBIRT models adding CC for any age group. Articles were excluded if they lacked CC, presented no original data, or were not in English. Relevant implementation and patient‐level outcomes were extracted to describe CC models and their impact. Results Of 737 abstracts and 50 full texts reviewed, 15 met the inclusion criteria. Studies spanned primary care, specialty care, and age ranges. CC models included embedded behavioral health providers, centralized linkage managers, and remote coordinators using phone or digital platforms. CC was associated with higher screening completion, brief intervention delivery, referral initiation, and treatment engagement. Successful integration incorporated structured communication, follow‐up protocols, and accessible technology. Barriers included limited billing infrastructure, weak electronic record integration, and unclear roles. Discussion and Conclusions CC appears to enhance SBIRT implementation and treatment engagement across outpatient settings. Embedded approaches offer relational benefits, while remote and digital strategies show promise for scalability. Comparative studies are needed to assess effectiveness, cost, and contextual fit. Scientific Significance Provides the first review of CC models within SBIRT, highlighting their implementation impact and guiding future optimization.

AbstractIn order to understand the link between the genetic background of patients and wound clinical outcomes, it is critical to have a reliable method to assess the phenotypic characteristics of healed wounds. In this study, we present a novel imaging method that provides reproducible, sensitive, and unbiased assessments of postsurgical scarring. We used this approach to investigate the possibility that genetic variants in orofacial clefting genes are associated with suboptimal healing. Red‐green‐blue digital images of postsurgical scars of 68 patients, following unilateral cleft lip repair, were captured using the 3dMD imaging system. Morphometric and colorimetric data of repaired regions of the philtrum and upper lip were acquired using ImageJ software, and the unaffected contralateral regions were used as patient‐specific controls. Repeatability of the method was high with intraclass correlation coefficient score > 0.8. This method detected a very significant difference in all three colors, and for all patients, between the scarred and the contralateral unaffected philtrum (p ranging from 1.20−05 to 1.95−14). Physicians’ clinical outcome ratings from the same images showed high interobserver variability (overall Pearson coefficient = 0.49) as well as low correlation with digital image analysis results. Finally, we identified genetic variants in TGFB3 and ARHGAP29 associated with suboptimal healing outcome.