Texturing Silicon Nanowires for Highly Localized Optical Modulation of Cellular Dynamics.

Engineered silicon-based materials can display photoelectric and photothermal responses under light illumination, which may lead to further innovations at the silicon-biology interfaces. Silicon nanowires have small radial dimensions, promising as highly localized cellular modulators, however the single crystalline form typically has limited photothermal efficacy due to the poor light absorption and fast heat dissipation. In this work, we report strategies to improve the photothermal response from silicon nanowires by introducing nanoscale textures on the surface and in the bulk. We next demonstrate high-resolution extracellular modulation of calcium dynamics in a number of mammalian cells including glial cells, neurons, and cancer cells. The new materials may be broadly used in probing and modulating electrical and chemical signals at the subcellular length scale, which is currently a challenge in the field of electrophysiology or cellular engineering.

Biomimetic Approaches Toward Smart Bio-hybrid Systems.

Bio-integrated materials and devices can blur the interfaces between living and artificial systems. Microfluidics, bioelectronics and engineered nanostructures, with close interactions with biology at the cellular or tissue levels, have already yielded a spectrum of new applications. Many new designs emerge, including those of organ-on-a-chip systems, biodegradable implants, electroceutical devices, minimally invasive neuro-prosthetic tools, and soft robotics. In this review, we highlight a few recent advances on the fabrication and application of the smart bio-hybrid systems, with a particular emphasis on the three-dimensional (3D) bio-integrated devices that mimick the 3D feature of tissue scaffolds. Moreover, neurons integrated with engineered nanostructures for wireless neuromodulation and dynamic neural output will be briefly discussed. We will also go over the progress in the construction of cell-enabled soft robotics, where a tight coupling of the synthetic and biological parts is crucial for efficient functions. Finally, we summarize the approaches for enhancing bio-integration with biomimetic micro- and nanostructures.

Beyond Screening: A Stepped Care Pathway for Managing Postpartum Depression in Pediatric Settings.

The negative consequences of untreated postpartum depression (PD) for both the woman and her infant are well established. The impact of maternal depression has led to recommendations on systematic perinatal depression screening. Unfortunately, large-scale initiatives on PD screening have found no benefit unless systems are in place to facilitate appropriate interventions for women who screen positive. Pediatric primary care has been a focus of efforts to support screening and management of PD because pediatric providers, unlike adult healthcare providers, have the most frequent contact with postpartum women through well-child visits. Well-child visits thus present an unparalleled opportunity to detect and intervene with PD. Literature reviews suggest that specific strategies are feasible within pediatric settings and could benefit both the woman and her child. In this article, we present a stepped care approach for screening and managing PD, integrating common elements found in existing pediatric-based models. A stepped care approach is ideal because PD is a heterogeneous condition, with a range of presentations and hence responsiveness to various interventions. This care pathway begins with systematic screening for depression symptoms, followed by a systematic risk assessment for women who screen positive and care management based on risk profiles and responsiveness. This approach allows pediatric providers to be optimally flexible and responsive in addressing the majority of women with PD within the context of the family-centered medical home to improve child well-being. Challenges to managing PD within pediatrics are discussed, including strategies for addressing them. Implications for research, policy, and practice are discussed.

Heterogeneous silicon mesostructures for lipid-supported bioelectric interfaces.

Silicon-based materials have widespread application as biophysical tools and biomedical devices. Here we introduce a biocompatible and degradable mesostructured form of silicon with multi-scale structural and chemical heterogeneities. The material was synthesized using mesoporous silica as a template through a chemical vapour deposition process. It has an amorphous atomic structure, an ordered nanowire-based framework and random submicrometre voids, and shows an average Young's modulus that is 2-3 orders of magnitude smaller than that of single-crystalline silicon. In addition, we used the heterogeneous silicon mesostructures to design a lipid-bilayer-supported bioelectric interface that is remotely controlled and temporally transient, and that permits non-genetic and subcellular optical modulation of the electrophysiology dynamics in single dorsal root ganglia neurons. Our findings suggest that the biomimetic expansion of silicon into heterogeneous and deformable forms can open up opportunities in extracellular biomaterial or bioelectric systems.

Using a Theory-Guided Learning Collaborative Model to Improve Implementation of EBPs in a State Children's Mental Health System: A Pilot Study.

Learning collaboratives (LCs) are used widely to promote implementation of evidence-based practices. However, there has been limited research on the effectiveness of LCs and models vary widely in their structure, focus and components. The goal of the present study was to develop and field test a theory-based LC model to augment a state-led, evidence-based training program for clinicians providing mental health services to children. Analysis of implementation outcomes contrasted LC sites to matched comparison sites that participated in the clinical training program alone. Results suggested that clinicians from sites participating in the LC were more highly engaged in the state-led clinical training program and were more likely to complete program requirements.

Can Postpartum Depression Be Managed in Pediatric Primary Care?

BACKGROUND: Postpartum depression is prevalent among women who have had a baby within the last 12 months. Depression can compromise parenting practices, child development, and family stability. Effective treatments are available, but access to mental healthcare is challenging. Routine infant healthcare visits represent the most regular contact mothers have with the healthcare system, making pediatric primary care (PPC) an ideal venue for managing postpartum depression. METHODS: We conducted a review of the published literature on postpartum depression programs. This was augmented with a Google search of major organizations' websites to identify relevant programs. Programs were included if they focused on clinical care practices, for at-risk or depressed women during the first year postpartum, which were delivered within the primary care setting. RESULTS: We found that 18 programs focused on depression care for mothers of infants; 12 were developed for PPC. All programs used a screening tool. Psychosocial risk assessments were commonly used to guide care strategies, which included brief counseling, motivating help seeking, engaging social supports, and facilitating referrals. Available outcome data suggest the importance of addressing postpartum depression within primary care and providing staff training and support. The evidence is strongest in family practices and community-based health settings. More outcome data are needed in pediatric practices. CONCLUSION: Postpartum depression can be managed within PPC. Psychosocial strategies can be integrated as part of anticipatory guidance. Critical supports for primary care clinicians, especially in pediatric practices, are needed to improve access to timely nonstigmatizing care.

What Predicts Clinician Dropout from State-Sponsored Managing and Adapting Practice Training.

Dropouts from system-wide evidence-based practice trainings are high; yet there are few studies on what predicts dropouts. This study examined multilevel predictors of clinician dropout from a statewide training on the Managing and Adapting Practice program. Extra-organizational structural variables, intra-organizational variables and clinician variables were examined. Using multivariable logistic regression analysis, state administrative data and prospectively collected clinician participation data were used to predict dropout. Two characteristics were predictive: younger clinicians and those practicing in upstate-rural areas compared to downstate-urban areas were less likely to drop out from training. Implications for research and policy are described.

Scaling up evidence-based practices for children and families in New York State: toward evidence-based policies on implementation for state mental health systems.

Dissemination of innovations is widely considered the sine qua non for system improvement. At least two dozen states are rolling out evidence-based mental health practices targeted at children and families using trainings, consultations, webinars, and learning collaboratives to improve quality and outcomes. In New York State (NYS) a group of researchers, policymakers, providers, and family support specialists have worked in partnership since 2002 to redesign and evaluate the children's mental health system. Five system strategies driven by empirically based practices and organized within a state-supported infrastructure have been used in the child and family service system with more than 2,000 providers: (a) business practices, (b) use of health information technologies in quality improvement, (c) specific clinical interventions targeted at common childhood disorders, (d) parent activation, and (e) quality indicator development. The NYS system has provided a laboratory for naturalistic experiments. We describe these initiatives, key findings and challenges, lessons learned for scaling, and implications for creating evidence-based implementation policies in state systems.