Search

Introduction: Medical device recalls are important to the practice of emergency medicine, as unsafe devices include many ubiquitous items in emergency care, such as vascular access devices, ventilators, infusion pumps, video laryngoscopes, pulse oximetry sensors, and implantable cardioverter defibrillators. Identification of dangerous medical devices as early as possible is necessary to minimize patient harms while avoiding false positives to prevent removal of safe devices from use. While the United States Food and Drug Administration (FDA) employs an adverse event reporting program (MedWatch) and database (MAUDE), other data sources and methods might have utility to identify potentially dangerous medical devices. Our objective was to evaluate the sensitivity, specificity, and accuracy of a machine learning (ML) algorithm using publicly available data to predict medical device recalls by the FDA.Methods: We identified recalled medical devices (RMD) and non-recalled medical devices (NRMD) using the FDA’s website and online database. We constructed an ML algorithm (random forest regressor) that automatically searched Google Trends and PubMed for the RMDs and NRMDs. The algorithm was trained using 400 randomly selected devices and then tested using 100 unique random devices. The algorithm output a continuous value (0–1) for recall probability for each device, which were rounded for dichotomous analysis. We determined sensitivity, specificity, and accuracy for each of three time periods prior to recall (T-3, 6, or 12 months), using FDA recall status as the reference standard. The study adhered to relevant items of the Standards for Reporting Diagnostic accuracy studies (STARD) guidelines.Results: Using a rounding threshold of 0.5, sensitivities for T-3, T-6, and T-12 were 89% (95%confidence interval [CI] 69–97), 90% (95% CI 70–97), and 75% (95% CI 53–89). Specificity was 100%(95% CI 95–100) for all three time periods. Accuracy was 98% (95% CI 93–99) for T-3 and T-6, and 95%(95% CI 89–99) for T-12. Using tailored thresholds yielded similar results.Conclusion: An ML algorithm accurately predicted medical device recall status by the FDA with lead times as great as 12 months. Future research could incorporate longer lead times and data sources including FDA reports and prospectively test the ability of ML algorithms to predict FDA recall.

Mobile health (mHealth) screening tools for autism are gaining in prevalence, and have benefits such as video content and direct resources linkage. However, it is unclear whether such tools will ameliorate autism inequities or will help only those already advantaged in autism care. To investigate this issue, we conducted semi-structured qualitative interviews with 18 primary care and Early Intervention/Early Childhood Special Education providers in six US states. Providers were given hypothetical scenarios in which a family presents to care with results from one of 9 mHealth autism screening tools. Providers discussed their clinical approach and assessed the tool's fit with their patient/client population. Each transcript was audio-recorded, transcribed, and coded; a phenomenological approach was used to develop key themes. 4 themes and 18 subthemes emerged. These included "Clinical and business factors" (e.g. scope of practice concerns and clinical efficiency), "Validity and trustworthiness" (e.g. familiarity, data privacy/security), "Family interaction quality" (e.g. supporting family advocacy, provision of information, affecting family anxiety, and emotional support), and "Accessibility" (e.g. English proficiency/language issues, cultural inclusivity, and literacy/educational level). Providers suggested modifications to enhance equity, such as portraying diverse families, reducing the reading level of text, and making tools shorter to better fit clinical context.

Numerous studies have reported that socioeconomic status (SES) predicts language skills in typically developing children. However, this association has been less systematically studied in children with developmental disabilities, such as autism spectrum disorder (ASD) or other developmental delays (DD). In the present study, we examined the association between SES, operationalized as maternal education attainment and health insurance status, and receptive and expressive language skills in a sample of children from lower SES, racial/ethnic minority families at increased 'clinical risk' for ASD based on early screening. Neither maternal education attainment nor health insurance status were significantly associated with children's language skills. Expressive and receptive language skills were significantly higher in children with DD compared to children with ASD. Findings differ from previously published work, highlighting the importance of study replication. Further research is needed to understand why the association between SES and children's language skills might vary across samples.

Hyperglycemia and rash are expected but challenging adverse events of phosphatidylinositol-3-kinase inhibition (such as with alpelisib). Two modified Delphi panels were conducted to provide consensus recommendations for managing hyperglycemia and rash in patients taking alpelisib. Experts rated the appropriateness of interventions on a 1-to-9 scale; median scores and dispersion were used to classify the levels of agreement. Per the hyperglycemia panel, it is appropriate to start alpelisib in patients with HbA1c 6.5% (diabetes) to

Abstract Chlamydia trachomatis infections are the most common bacterial STIs globally and can lead to serious morbidity if untreated. Development of a killed, whole-cell vaccine has been stymied by coincident epitope destruction during inactivation. Here, we present a prototype Chlamydia vaccine composed of elementary bodies (EBs) from the related mouse pathogen, Chlamydia muridarum (Cm). EBs inactivated by gamma rays (Ir-Cm) in the presence of the antioxidant Mn2+-Decapeptide (DEHGTAVMLK) Phosphate (MDP) are protected from epitope damage but not DNA damage. Cm EBs gamma-inactivated with MDP retain their structure and provide significant protection in a murine genital tract infection model. Mice vaccinated with Ir-Cm (+MDP) exhibited elevated levels of Cm-specific IgG and IgA antibodies, reduced bacterial burdens, accelerated clearance, and distinctive cytokine responses compared to unvaccinated controls and animals vaccinated with EBs irradiated without MDP. Preserving EB epitopes with MDP during gamma inactivation offers the potential for a polyvalent, whole-cell vaccine against C. trachomatis.

Abstract Mucosal-associated invariant T (MAIT) cells express semi-invariant T cell receptors (TCR) for recognizing bacterial and yeast antigens derived from riboflavin metabolites presented on the non-polymorphic MHC class I-related protein 1 (MR1). Neuroinflammation in multiple sclerosis (MS) is likely initiated by autoreactive T cells and perpetuated by infiltration of additional immune cells, but the precise role of MAIT cells in MS pathogenesis remains unknown. Here, we use experimental autoimmune encephalomyelitis (EAE), a mouse model of MS, and find an accumulation of MAIT cells in the inflamed central nervous system (CNS) enriched for MAIT17 (RORγt+) and MAIT1/17 (T-bet+RORγt+) subsets with inflammatory and protective features. Results from transcriptome profiling and Nur77GFP reporter mice show that these CNS MAIT cells are activated via cytokines and TCR. Blocking TCR activation with an anti-MR1 antibody exacerbates EAE, whereas enhancing TCR activation with the cognate antigen, 5-(2-oxopropylideneamino)−6-D-ribitylaminouracil, ameliorates EAE severity, potentially via the induction of amphiregulin (AREG). In summary, our findings suggest that TCR-mediated MAIT cell activation is protective in CNS inflammation, likely involving an induction of AREG.

Abstract Background Generating and analyzing process maps can help identify and prioritize barriers to the implementation of evidence-based practices in healthcare settings. Guidance on how to systematically apply and report these methods in implementation research is scant. We describe a method combining a qualitative approach to developing process maps with a quantitative evaluation of maps drawn from the quality improvement literature called failure mode and effects analysis (FMEA). Methods We provide an outline and guidance for how investigators can use process mapping with FMEA to identify and prioritize barriers when implementing evidence-based clinical interventions. Suggestions for methods and reporting were generated based on established procedures for process mapping with FMEA and through review of original research papers which apply both methods in healthcare settings. We provide case examples to illustrate how this approach can be operationalized in implementation research. Results The methodology of process mapping with FMEA can be divided into four broad phases: 1) formulating a plan, 2) generating process maps to identify and organize barriers over time, 3) prioritizing barriers through FMEA, and 4) devising an implementation strategy to address priority barriers. We identified 14 steps across the four phases. Two illustrative examples are provided. Case 1 describes the implementation of referrals to chiropractic care for adults with low back pain in primary care clinics. Case 2 describes the implementation of a family navigation intervention for children with autism spectrum disorder seeking care in pediatric clinics. For provisional guidance for reporting, we propose the REporting Process mapping and Analysis for Implementation Research (REPAIR) checklist. Conclusions Process mapping with FMEA can elucidate barriers and facilitators to successful implementation of evidence-based clinical interventions. This paper provides initial guidance for more systematic applications of this methodology in implementation research. Future research should use a consensus-building approach, such as a multidisciplinary Delphi panel, to further delineate the reporting standards for studies that use process mapping with FMEA.

Abstract High‐quality randomized trial evidence is lacking on whether low‐dose aspirin exerts significant effects on blood pressure (BP) in older adults. The authors assessed longitudinal BP changes in participants enrolled in ASPirin in Reducing Events in the Elderly (ASPREE), a randomized, placebo‐controlled trial of 100 mg daily aspirin in 19 114 community‐dwelling Australian and U.S. adults without cardiovascular disease (CVD), dementia, or independence‐limiting physical disability. Participants’ BP was recorded at baseline and annual study visits, and managed by their usual care provider. BP trajectories for aspirin versus placebo during 4.7 years of follow‐up were examined for systolic and diastolic BP separately, using linear mixed models to account for between and within‐individual variability in BP. Analyses by subgroups were also explored with inclusion of interaction terms in the models. The difference in mean change in systolic BP between aspirin and placebo during study follow‐up was −0.03 mm Hg (95% confidence interval [CI]: −0.13, 0.07; p = .541) (aspirin minus placebo), while the mean difference for change in diastolic BP was −0.05 mm Hg (95% CI: –0.11, 0.01; p = .094). These small, non‐significant differences in BP change between the aspirin and placebo groups were consistent across baseline levels of BP and antihypertensive treatment status (treated/untreated). Likewise, subgroups of age, sex, chronic kidney disease, diabetes, and frailty revealed no interaction effect between the subgroup, aspirin treatment, and time. Interval‐censored Cox proportional hazards regression showed no difference in rates of incident treated hypertension between aspirin and placebo‐treated participants. The authors conclude that daily low‐dose aspirin does not significantly affect BP in older adults when managed by usual care.

BackgroundWhile vaccines have established utility against COVID-19, phase 3 efficacy studies have generally not comprehensively evaluated protection provided by previous infection or hybrid immunity (previous infection plus vaccination). Individual patient data from US government-supported harmonized vaccine trials provide an unprecedented sample population to address this issue. We characterized the protective efficacy of previous SARS-CoV-2 infection and hybrid immunity against COVID-19 early in the pandemic over three-to six-month follow-up and compared with vaccine-associated protection.MethodsIn this post-hoc cross-protocol analysis of the Moderna, AstraZeneca, Janssen, and Novavax COVID-19 vaccine clinical trials, we allocated participants into four groups based on previous-infection status at enrolment and treatment: no previous infection/placebo; previous infection/placebo; no previous infection/vaccine; and previous infection/vaccine. The main outcome was RT-PCR-confirmed COVID-19 >7-15 days (per original protocols) after final study injection. We calculated crude and adjusted efficacy measures.FindingsPrevious infection/placebo participants had a 92% decreased risk of future COVID-19 compared to no previous infection/placebo participants (overall hazard ratio [HR] ratio: 0.08; 95% CI: 0.05-0.13). Among single-dose Janssen participants, hybrid immunity conferred greater protection than vaccine alone (HR: 0.03; 95% CI: 0.01-0.10). Too few infections were observed to draw statistical inferences comparing hybrid immunity to vaccine alone for other trials. Vaccination, previous infection, and hybrid immunity all provided near-complete protection against severe disease.InterpretationPrevious infection, any hybrid immunity, and two-dose vaccination all provided substantial protection against symptomatic and severe COVID-19 through the early Delta period. Thus, as a surrogate for natural infection, vaccination remains the safest approach to protection.FundingNational Institutes of Health.

Abstract Background The net benefit of aspirin cessation in older adults remains uncertain. This study aimed to use observational data to emulate a randomized trial of aspirin cessation versus continuation in older adults without cardiovascular disease (CVD). Methods Post hoc analysis using a target trial emulation framework applied to the immediate post-trial period (2017–2021) of a study of low-dose aspirin initiation in adults aged ≥ 70 years (ASPREE; NCT01038583). Participants from Australia and the USA were included if they were free of CVD at the start of the post-trial intervention period (time zero, T0) and had been taking open-label or randomized aspirin immediately before T0. The two groups in the target trial were as follows: aspirin cessation (participants who were taking randomized aspirin immediately before T0; assumed to have stopped at T0 as instructed) versus aspirin continuation (participants on open-label aspirin at T0 regardless of their randomized treatment; assumed to have continued at T0). The outcomes after T0 were incident CVD, major adverse cardiovascular events (MACE), all-cause mortality, and major bleeding during 3, 6, and 12 months (short-term) and 48 months (long-term) follow-up. Hazard ratios (HRs) comparing aspirin cessation to continuation were estimated from propensity-score (PS) adjusted Cox proportional-hazards regression models. Results We included 6103 CVD-free participants (cessation: 5427, continuation: 676). Over both short- and long-term follow-up, aspirin cessation versus continuation was not associated with elevated risk of CVD, MACE, and all-cause mortality (HRs, at 3 and 48 months respectively, were 1.23 and 0.73 for CVD, 1.11 and 0.84 for MACE, and 0.23 and 0.79 for all-cause mortality, p > 0.05), but cessation had a reduced risk of incident major bleeding events (HRs at 3 and 48 months, 0.16 and 0.63, p

Lesbian, gay, bisexual, transgender, and queer (LGBTQ) youth of color experience high rates of mental health disorders, yet they experience challenges to accessing mental health services. Community health worker (CHW) models of care have potential to promote equitable mental health services among LGBTQ youth. Our aim was to understand how CHW models could be adapted to better support LGBTQ youth of color in accessing mental health services. Semi-structured qualitative interviews were conducted with LGBTQ youth of color (n = 16), caregivers of LGBTQ youth (n = 11), and CHWs (n = 15) in Massachusetts and California. Interviews were coded by 8 members of the research team. A Rapid Qualitative Analysis was conducted to identify themes. Caregivers, youth, and CHWs all endorsed the value of CHW models for this population. They also almost universally suggested multiple adaptations are needed for the model to be effective. Four main categories of themes emerged related to intervention adaptations: (1) Why adaptations are needed for LGBTQ youth, (2) Who should serve as CHWs providing care, (3) How CHWs should be trained, and (4) What content needs to be included in the intervention. Broadly, findings suggest the relevance of having CHW models for LGBTQ youth of color to address stigma and discrimination experienced, access to culturally and linguistically relevant services, and the need for caregiver support of LGBTQ youth. CHWs need increased training in these areas.

ABSTRACTIntroduction: Paroxysmal nocturnal hemoglobinuria (PNH) is a rare, acquired, non-malignant hematologic disease characterized by complement-mediated hemolysis (with or without hemoglobinuria), fatigue, increased susceptibility to thrombosis, and bone marrow dysfunction. The development of complement inhibitors has transformed outcomes for patients with PNH, but patients may still experience pharmacodynamic breakthrough hemolysis (BTH), which can be caused by exposure to a complement amplifying condition (CAC), such as vaccination, infection, or surgery.Materials and methods: A 13-member expert panel used a validated methodology (a RAND/UCLA modified Delphi panel) to develop consensus on how to classify pharmacodynamic BTH in patients with complement-inhibitor treated PNH. Physicians reviewed literature, rated the appropriateness of over 400 scenarios, and discussed the ratings at an in-person meeting.Results: After the meeting, the panel agreed on 77% of scenarios. Here, we present the group’s agreed-upon recommendations on how to manage BTH caused by a CAC, as well as provide a severity classification system for BTH and strategies to mitigate risk of BTH in special circumstances (e.g. vaccination, planned or unplanned surgery, and pregnancy).Discussion: In general, as severity of BTH increased, experts agreed more interventions to manage the BTH were appropriate. These recommendations are based on clinical experience and opinion. Without clear data from randomized trials to guide the management of BTH, expert opinion can be useful to support patient care.

ABSTRACT Bats are known to host zoonotic viruses, including henipaviruses that cause high fatality rates in humans (Nipah virus and Hendra virus). However, the determinants of zoonotic spillover are generally unknown, as the ecological and demographic drivers of viral circulation in bats are difficult to ascertain without longitudinal data. Here we analyse serological data collected from African straw‐coloured fruit bats (Eidolon helvum) in Ghana over the course of 2 years and across four sites, comprising three wild roosts and one captive colony. We focus on antibody affinity to five henipavirus antigens: Ghanaian bat henipavirus (GhV), Nipah virus (NiV), Hendra virus (HeV), Mojiang virus (MojV) and Cedar virus (CedV). In the wild roosts, we detected seasonal variations in henipavirus antibody binding, possibly associated with bat life‐history cycles and migration patterns. In the captive colony, we identified increases in antibody affinity levels among pregnant bats, suggesting possible shifts in the immune system during pregnancy. These bats then pass maternal antibodies to their pups, which wane before antibody affinity levels rise later in life following initial infections and/or reactivation of latent infections. These results improve our understanding of the links between bat ecology and viral circulation, including for GhV, a locally‐circulating African henipavirus.

BackgroundFamily Navigation (FN) is an evidence-based care management intervention designed to reduce disparities in access to care by providing families with individually tailored support and care coordination. Early data suggest FN is effective, but effectiveness is significantly influenced by both contextual (e.g. setting) and individual (e.g., ethnicity) variables. To better understand how FN could be tailored to address this variability in effectiveness, we set forth to explore proposed adaptations to FN by both navigators and families who received FN.MethodsThis study was a nested qualitative study set within a larger randomized clinical trial of FN to improve access to autism diagnostic services in urban pediatric primary care practices in Massachusetts, Pennsylvania, and Connecticut serving low-income, racial and ethnic minority families. Following FN implementation, key informant interviews were conducted based on the Framework for Reporting Adaptations and Modifications-Expanded (FRAME) with a purposeful sample of parents of children who received FN (n = 21) and navigators (n = 7). Interviews were transcribed verbatim and were coded using framework-guided rapid analysis to categorize proposed adaptations to FN.ResultsParents and navigators proposed 38 adaptations in four domains: 1) content of the intervention (n = 18), 2) context of the intervention (n = 10), 3) training and evaluation (n = 6), and 4) implementation and scale-up (n = 4). The most frequently endorsed adaptation recommendations focused on content (e.g., lengthening FN, providing parents with additional education on autism and parenting children with autism) and implementation (e.g., increasing access to navigation). Although probes targeted critical feedback, parents and navigators were overwhelmingly positive about FN.ConclusionsThis study builds upon prior FN effectiveness and implementation research by providing concrete areas for adaptation and refinement of the intervention. Recommendations by parents and navigators have the potential to inform improvement of existing navigation programs and development of new programs in similarly underserved populations. These findings are critical as adaptation (cultural and otherwise) is an important principle in the field of health equity. Ultimately, adaptations will need to be tested to determine clinical and implementation effectiveness.Trial registrationClinicalTrials.gov, registration number NCT02359084, February 9, 2015.

Lay abstractEarly Intervention systems provide therapeutic services to families of young children birth to 3 years with developmental delays and are considered a natural access point to services for young children and their families. Research studies in the autism field have been interested in training providers to deliver evidence-based practices in Early Intervention systems to increase access to services for young children with an increased likelihood of being autistic. However, research has often overlooked that Early Intervention systems prioritize family-centered care, an approach to working with families that honors and respects their values and choices and that provides supports to strengthen family functioning. This commentary points out that family-centered care deserves greater attention in research being done in Early Intervention systems. We describe how family-centered care may shape how interventions are delivered, and discuss directions for future research to evaluate the impact of family-centered care alongside intervention delivery.

Lesbian, gay, bisexual, transgender, and queer (LGBTQ) youth of color experience high rates of mental health disorders, yet they experience challenges to accessing mental health services. Community health worker (CHW) models of care have potential to promote equitable mental health services among LGBTQ youth. Our aim was to understand how CHW models could be adapted to better support LGBTQ youth of color in accessing mental health services. Semi-structured qualitative interviews were conducted with LGBTQ youth of color (n = 16), caregivers of LGBTQ youth (n = 11), and CHWs (n = 15) in Massachusetts and California. Interviews were coded by 8 members of the research team. A Rapid Qualitative Analysis was conducted to identify themes. Caregivers, youth, and CHWs all endorsed the value of CHW models for this population. They also almost universally suggested multiple adaptations are needed for the model to be effective. Four main categories of themes emerged related to intervention adaptations: (1) Why adaptations are needed for LGBTQ youth, (2) Who should serve as CHWs providing care, (3) How CHWs should be trained, and (4) What content needs to be included in the intervention. Broadly, findings suggest the relevance of having CHW models for LGBTQ youth of color to address stigma and discrimination experienced, access to culturally and linguistically relevant services, and the need for caregiver support of LGBTQ youth. CHWs need increased training in these areas.

Abstract Background Differences in immune responses between women and men are leading to a strong sex bias in the incidence of autoimmune diseases that predominantly affect women, such as multiple sclerosis (MS). MS manifests in more than twice as many women, making sex one of the most important risk factor. However, it is incompletely understood which genes contribute to sex differences in autoimmune incidence. To address that, we conducted a gene expression analysis in female and male human spleen and identified the transmembrane protein CD99 as one of the most significantly differentially expressed genes with marked increase in men. CD99 has been reported to participate in immune cell transmigration and T cell regulation, but sex-specific implications have not been comprehensively investigated. Methods In this study, we conducted a gene expression analysis in female and male human spleen using the Genotype-Tissue Expression (GTEx) project dataset to identify differentially expressed genes between women and men. After successful validation on protein level of human immune cell subsets, we assessed hormonal regulation of CD99 as well as its implication on T cell regulation in primary human T cells and Jurkat T cells. In addition, we performed in vivo assays in wildtype mice and in Cd99-deficient mice to further analyze functional consequences of differential CD99 expression. Results Here, we found higher CD99 gene expression in male human spleens compared to females and confirmed this expression difference on protein level on the surface of T cells and pDCs. Androgens are likely dispensable as the cause shown by in vitro assays and ex vivo analysis of trans men samples. In cerebrospinal fluid, CD99 was higher on T cells compared to blood. Of note, male MS patients had lower CD99 levels on CD4+ T cells in the CSF, unlike controls. By contrast, both sexes had similar CD99 expression in mice and Cd99-deficient mice showed equal susceptibility to experimental autoimmune encephalomyelitis compared to wildtypes. Functionally, CD99 increased upon human T cell activation and inhibited T cell proliferation after blockade. Accordingly, CD99-deficient Jurkat T cells showed decreased cell proliferation and cluster formation, rescued by CD99 reintroduction. Conclusions Our results demonstrate that CD99 is sex-specifically regulated in healthy individuals and MS patients and that it is involved in T cell costimulation in humans but not in mice. CD99 could potentially contribute to MS incidence and susceptibility in a sex-specific manner.

Abstract Human Ebola virus (EBOV) outbreaks caused by persistent EBOV infection raises questions on the role of zoonotic spillover in filovirus epidemiology. To characterise filovirus zoonotic exposure, we collected cross-sectional serum samples from bushmeat hunters (n = 498) in Macenta Prefecture Guinea, adjacent to the index site of the 2013 EBOV-Makona spillover event. We identified distinct immune signatures (20/498, 4.0%) to multiple EBOV antigens (GP, NP, VP40) using stepwise ELISA and Western blot analysis and, live EBOV neutralisation (5/20; 25%). Using comparative serological data from PCR-confirmed survivors of the 2013-2016 EBOV outbreak, we demonstrated that most signatures (15/20) were not plausibly explained by prior EBOV-Makona exposure. Subsequent data-driven modelling of EBOV immunological outcomes to remote-sensing environmental data also revealed consistent associations with intact closed canopy forest. Together our findings suggest exposure to other closely related filoviruses prior to the 2013-2016 West Africa epidemic and highlight future surveillance priorities.

Openness is a multifaceted behavioral disposition that encompasses personal, interpersonal, and cultural dimensions. It has been suggested that the interindividual variability in openness as a personality trait is influenced by various environmental and genetic factors, as well as differences in brain functional and structural connectivity patterns along with their various associated cognitive processes. Alterations in degree of openness have been linked to several aspects of health and disease, being impacted by both physical and mental health, substance use, and neurologic conditions. This review aims to explore the current state of knowledge describing the neurobiological basis of openness and how individual differences in openness can manifest in brain health and disease.

The desire for novelty and variety in experiences, which may manifest in an inclination to engage with individuals from a diverse range of cultural backgrounds, collectively constitutes the personality dimension known as Openness to Experience. Empirical research has identified a positive correlation between trait openness and various expressions of creativity, such as divergent ideation, innovative problem-solving strategies, and cumulative creative accomplishments. This nexus between openness to interpersonal diversity, as an aspect of the larger personality trait of openness, and creativity has precipitated considerable scholarly interest across the disciplines of personality, social and organizational psychology, and neuroscientific investigation. In this paper, we review the neurobehavioral properties, including the cognitive processes and neural mechanisms, that connect these two constructs. Further, we explore how culture influences levels of openness and creativity in individuals and consider how creativity predisposes individuals toward openness to a plethora of experiences, including those occurring in culturally diverse contexts. This reciprocal entanglement of creativity and openness has been shown to foster a reduction in biases, augment conflict resolution capabilities, and generally yield superior outcomes in multicultural environments.

Implementation strategies are methods or techniques used to adopt, implement, and sustain evidence-based practices (EBPs). Implementation strategies are dynamic and may require adaptation to fit implementation contexts, especially in low-resource settings, which are most likely to serve racially and ethnically diverse patients. The framework for reporting adaptations and modifications to evidence-based implementation strategies (FRAME-IS) was used to document adaptations to implementation strategies to inform an optimization pilot of Access to Tailored Autism Integrated Care (ATTAIN; an integrated care model for children with autism and co-occurring mental health needs) in a federally qualified health center (FQHC) near the United States/Mexico border. Quantitative and qualitative data were collected from 36 primary care providers who participated in the initial ATTAIN feasibility pilot to inform adaptations. Adaptations were mapped to the FRAME-IS through an iterative template analysis to inform an optimization pilot at a FQHC 1-year from the start of the COVID-19 pandemic. Four implementation strategies (training and workflow reminders, provider/clinic champions, periodic reflections, and technical assistance) were employed during the feasibility pilot and were adapted for the optimization pilot to fit the needs of the FQHC and service delivery changes prompted by the pandemic. Findings demonstrate the utility of using the FRAME-IS to systematically inform EBP optimization in a FQHC providing care to underserved communities. Findings will inform future research studies implementing integrated mental health models in low-resourced primary care settings. Implementation outcomes and provider perceptions of ATTAIN at the FQHC are also reported. (PsycInfo Database Record (c) 2023 APA, all rights reserved).