Literature Collection

OBJECTIVE: Screening questionnaires are one option for identification of at-risk substance use and substance use disorder (SUD) during pregnancy. We report the experience of a single institution following universal implementation of a brief screening tool for self-reported substance use at the first prenatal encounter. STUDY DESIGN: This is a prospective implementation study evaluating screening for substance use in pregnancy in a large safety net healthcare system. Universal screening with the National Institute of Drug Abuse (NIDA) Quick Screen V1.0 was integrated into the electronic medical record (EMR) and administered at the first point of contact with the healthcare system. SUD was identified initially with diagnosis within the EMR by a healthcare provider and was confirmed with toxicology (maternal or neonatal) results corroborating a pattern of substance use and maternal and neonatal ICD-10 codes for SUD. Patients identified with SUD were then classified as moderate or severe SUD based on criteria established by the Diagnostic and Statistical Manual of Mental Disorders, 5th edition. We measured rates of NIDA implementation across different healthcare settings, evaluated NIDA concordance with ascertainment of SUD, and compared adverse pregnancy outcomes associated with moderate and severe SUD. RESULTS: From July 28, 2021, through June 25, 2022, 14,634 unique pregnant individuals accessed care at ambulatory and acute care sites. Universal implementation of the NIDA Quick Screen identified at-risk substance use in 2146 (14.7%) of those who accessed our system, or 17.1% of 12,550 screened across the system, with greater screen completion in ambulatory over acute care settings. SUD was identified in 256 (1.7%) of 14,634 individuals and moderate or severe SUD was identified in 184 (1.3%). Among those with moderate or severe SUD, 90 (48.9%) were NIDA positive, 22 (12.0%) NIDA negative, and 72 (39.1%) unscreened. Of 94 individuals with NIDA discordance or who were unscreened 76 (81%) accessed initial care through an acute care setting. Of 96 individuals with opioid use disorder, 68 (70.8%) were treated with medication-assisted therapy, and 56 (58.3%) were screened with the NIDA Quick Screen. Among delivered individuals with available outcomes, those with moderate or severe SUD were less likely to seek prenatal care (71 (76%) vs 9852 (98%), <0.001)) and more likely to deliver before 37 weeks, (18 (20%) vs 909 (9%), RR (95% CI) 2.13 (1.40, 3.24)) compared to individuals without SUD. Neonates exposed to moderate or severe SUD were more likely to have birth weight <10th centile for gestational age (20 (22%) vs 1147 (12%), RR (95% CI) 1.92 (1.29, 2.85)) and require admission to the neonatal intensive care unit (NICU) (19 (21%) vs 964 (10%), RR (95%) 1.95 (1.30, 2.93)). CONCLUSION: Universal screening was implemented across a large public healthcare system at a high rate, with higher rates of implementation in ambulatory settings. NIDA successfully identified at-risk substance use in 17% of the SUD cohort but failed to identify more than 50% of patients with moderate or severe SUD. Patients with moderate and severe SUD accessed care primarily through the emergency department and experienced higher rates of adverse obstetric and neonatal outcomes. Future efforts to identify, engage, and retain this highest-risk group are needed.

BACKGROUND: Mental disorders are a leading cause of global disability, driven primarily by depression and anxiety. Most of the disease burden is in Low and Middle Income Countries (LMICs), where 75% of adults with mental disorders have no service access. Our research team has worked in western Kenya for nearly ten years. Primary care populations in Kenya have high prevalence of Major Depressive Disorder (MDD) and Posttraumatic Stress Disorder (PTSD). To address these treatment needs with a sustainable, scalable mental health care strategy, we are partnering with local and national mental health stakeholders in Kenya and Uganda to identify 1) evidence-based strategies for first-line and second-line treatment delivered by non-specialists integrated with primary care, 2) investigate presumed mediators of treatment outcome and 3) determine patient-level moderators of treatment effect to inform personalized, resource-efficient, non-specialist treatments and sequencing, with costing analyses. Our implementation approach is guided by the Exploration, Preparation, Implementation, Sustainment (EPIS) framework. METHODS/DESIGN: We will use a Sequential, Multiple Assignment Randomized Trial (SMART) to randomize 2710 patients from the outpatient clinics at Kisumu County Hospital (KCH) who have MDD, PTSD or both to either 12 weekly sessions of non-specialist-delivered Interpersonal Psychotherapy (IPT) or to 6 months of fluoxetine prescribed by a nurse or clinical officer. Participants who are not in remission at the conclusion of treatment will be re-randomized to receive the other treatment (IPT receives fluoxetine and vice versa) or to combination treatment (IPT and fluoxetine). The SMART-DAPPER Implementation Resource Team, (IRT) will drive the application of the EPIS model and adaptations during the course of the study to optimize the relevance of the data for generalizability and scale -up. DISCUSSION: The results of this research will be significant in three ways: 1) they will determine the effectiveness of non-specialist delivered first- and second-line treatment for MDD and/or PTSD, 2) they will investigate key mechanisms of action for each treatment and 3) they will produce tailored adaptive treatment strategies essential for optimal sequencing of treatment for MDD and/or PTSD in low resource settings with associated cost information - a critical gap for addressing a leading global cause of disability. TRIAL REGISTRATION: ClinicalTrials.gov NCT03466346, registered March 15, 2018.

BACKGROUND: Contingency management (CM), a behavioral intervention that provides incentives for achieving treatment goals, is an evidence-based adjunct to medication to treat opioid use disorder. Unfortunately, many front-line treatment providers do not utilize CM, likely due to contextual barriers that limit effective training and ongoing support for evidence-based practices. This study applied user-informed approaches to adapt a multi-level implementation strategy called the Science to Service Laboratory (SSL) to support CM implementation. METHODS: Leaders and treatment providers working in community-based opioid treatment programs (OTPs; N = 43) completed qualitative interviews inquiring about their preferences for training and support implementation strategies (didactic training, performance feedback, and external facilitation). Our team coded interviews using a reflexive team approach to identify common a priori and emergent themes. RESULTS: Leaders and providers expressed a preference for brief training that included case examples and research data, along with experiential learning strategies. They reported a desire for performance feedback from internal supervisors, patients, and clinical experts. Providers and leaders had mixed feelings about audio-recording sessions but were open to the use of rating sheets to evaluate CM performance. Finally, participants desired both on-call and regularly scheduled external facilitation to support their continued use of CM. CONCLUSIONS: This study provides an exemplar of a user-informed approach to adapt the SSL implementation support strategies for CM scale-up in community OTPs. Study findings highlight the need for user-informed approaches to training, performance feedback, and facilitation to support sustained CM use in this setting.