Addressing health disparities in the criminal legal system: Translational benefits, challenges, and facilitators of impactful research with incarcerated pregnant women.

This in-depth analysis illuminates a translational journey of a community-university research collaboration that examined health disparities among incarcerated pregnant women and spanned the translational spectrum, with the initial collaboration in 2011 paving the way for consequent research grants, publications, practices, programs, and legislation passed years later. The case study utilized data from interviews with research stakeholders, institutional and governmental sources, peer-reviewed publications, and news stories. Identified research and translational challenges included cultural differences between research and prison system; the prison system's lack of transparency; politics of using and translating research to policy change; and issues of capacity, power, privilege, and opportunity when doing community-engaged research/science. Among the facilitators of translation were the Clinical and Translational Science Award and institutional support; engagement of key stakeholders and influencers; authentic collaboration and team science; researchers as translation catalysts; pragmatic scientific approach; and policies and legislative activities. The research contributed to a variety of community and public health, policy/legislative, clinical/medical, and economic benefits. The case study findings enhance our understanding of translational science principles and processes leading to improved wellbeing and serve as a call for advancing the research agenda addressing health disparities related to criminal and social justice issues.

Leadership and administration to advance translational science: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award Program hubs.

COVID-19 reinforced the need for effective leadership and administration within Clinical and Translational Science Award (CTSA) program hubs in response to a public health crisis. The speed, scale, and persistent evolution of the pandemic forced CTSA hubs to act quickly and remain nimble. The switch to virtual environments paired with supporting program operations, while ensuring the safety and well-being of their team, highlight the critical support role provided by leadership and administration. The pandemic also illustrated the value of emergency planning in supporting organizations' ability to quickly pivot and adapt. Lessons learned from the pandemic and from other cases of adaptive capacity and preparedness can aid program hubs in promoting and sustaining the overall capabilities of their organizations to prepare for future events.

Engaging community in the translational process: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award Program hubs.

This paper is part of the Environmental Scan of Adaptive Capacity and Preparedness of Clinical and Translational Science Award (CTSA) hubs, illuminating challenges, practices, and lessons learned related to CTSA hubs' efforts of engaging community partners to reduce the spread of the virus, address barriers to COVID-19 testing, identify treatments to improve health outcomes, and advance community participation in research. CTSA researchers, staff, and community partners collaborated to develop evidence-based, inclusive, accessible, and culturally appropriate strategies and resources helping community members stay healthy, informed, and connected during the pandemic. CTSA institutions have used various mechanisms to advance co-learning and co-sharing of knowledge, resources, tools, and experiences between academic professionals, patients, community partners, and other stakeholders. Forward-looking and adaptive decision-making structures are those that prioritize sustained relationships, mutual trust and commitment, ongoing communication, proactive identification of community concerns and needs, shared goals and decision making, as well as ample appreciation of community members and their contributions to translational research. There is a strong need for further community-engaged research and workforce training on how to build our collective and individual adaptive capacity to sustain and improve processes and outcomes of engagement with and by communities-in all aspects of translational science.

Improving quality and efficiency of translational research: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award Program hubs.

Translational science is, by definition, groundbreaking; however, without an emphasis on quality and efficiency, some innovations in healthcare may translate into unnecessary risk, suboptimal solutions, and potentially loss of well-being and even lives. The COVID-19 pandemic and the Clinical and Translational Sciences Award Consortium's response created an opportunity for quality and efficiency to be better defined, expediently and thoughtfully addressed, and further studied as central foundations in the translational science mission. This paper presents findings of an environmental scan of adaptive capacity and preparedness to illuminate the assets, institutional environment, knowledge, and forward-looking decision-making needed to optimize and sustain research quality and efficiency.

Adaptive capacity and preparedness of Clinical and Translational Science Award Program hubs: Overview of an environmental scan.

The ability of research networks and individual institutions to effectively and efficiently prepare, respond, and adapt to emergent challenges is essential for the biomedical research enterprise. At the beginning of 2021, a special Working Group was formed by individuals in the Clinical and Translational Science Award (CTSA) consortium and approved by the CTSA Steering Committee to explore "Adaptive Capacity and Preparedness (AC&P) of CTSA Hubs." The AC&P Working Group took a pragmatic Environmental Scan (E-Scan) approach of utilizing the diverse data that had been collected through existing mechanisms. The Local Adaptive Capacity framework was adapted to illustrate the interconnectedness of CTSA programs and services, while exposing how the demands of the pandemic forced them to quickly pivot and adapt. This paper presents a synopsis of the themes and lessons learned that emerged from individual sections of the E-Scan. Lessons learned from this study may improve our understanding of adaptive capacity and preparedness at different levels, as well as help strengthen the core service models, strategies, and foster innovation in clinical and translational science research.

Training and cultivating the translational science workforce: Responses of Clinical and Translational Science Awards program hubs to the COVID-19 pandemic.

The coronavirus disease 2019 (COVID-19) pandemic has dramatically changed our lives and the delivery of healthcare. The pandemic also led to widespread disruption in the research activities and training of pre-doctoral, post-doctoral, and early career faculty researchers. This mini-review uses the Local Adaptive Capacity Framework to describe successful practices, challenges, and lessons learned on how Clinical and Translational Science Award (CTSA) hubs have used their expertise, resources, and collaborations to advance clinical and translational science research and workforce development while facing and adapting to a pandemic. Data for this mini-review were taken from the scientific literature (23 articles) and the Research Performance Progress Reports of 50 unique CTSA hubs (40 TL1 and 50 KL2 awards). Institutions responded in innovative ways to the disruption of the COVID-19 pandemic. Electronic and virtual platforms were used to overcome challenges related to physical distancing, laboratory closures, and travel bans. The importance of mentorship and well-being led to the creation of new virtual programs to expand mentoring and networking beyond the home institution and to promote well-being and resilience. These solutions to translational workforce development can be implemented to address future public health emergencies.

Integrating special and underserved populations in translational research: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award (CTSA) program hubs.

The COVID-19 pandemic has exacerbated health disparities and rendered them acutely more visible. Special and underrepresented populations need to be fully integrated into the translational research process from the very beginning and all the way through. This article presents findings and rapid analysis mini-case studies from the Environmental Scan (E-Scan) of adaptive capacity and preparedness of Clinical and Translational Science Award hubs, specific to the goal of integrating special and vulnerable populations in different institutional research settings. In our discussion of the findings and case studies, we flexibly apply local adaptive capacity framework concepts and characteristics, and, whenever possible, we present ideas on how to enhance capacity in those areas, based on the challenges and practices identified through the E-Scan. Although the past year has recorded incredible achievements in vaccine development, clinical trials, diagnostics, and overall biomedical research, these successes continue to be hampered by our inability to turn them into achievements equally available and accessible to all populations.

Using informatics to advance translational science: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award Program hubs.

As the USA and the rest of the world raced to fight the COVID-19 pandemic, years of investments from the National Center for Advancing Translational Sciences allowed for informatics services and resources at CTSA hubs to play a significant role in addressing the crisis. CTSA hubs partnered with local and regional partners to collect data on the pandemic, provide access to relevant patient data, and produce data dashboards to support decision-making. Coordinated efforts, like the National COVID Cohort Collaborative (N3C), helped to aggregate and harmonize clinical data nationwide. Even with significant informatics investments, some CTSA hubs felt unprepared in their ability to respond to the fast-moving public health crisis. Many hubs were forced to quickly evolve to meet local needs. Informatics teams expanded critical support at their institutions which included an engagement platform for clinical research, COVID-19 awareness and education activities in the community, and COVID-19 data dashboards. Continued investments in informatics resources will aid in ensuring that tools, resources, practices, and policies are aligned to meet local and national public health needs.

Noninvasive assessment of hemodynamic and brain metabolism parameters following closed head injury in a mouse model by comparative diffuse optical reflectance approaches.

Optical techniques have gained substantial interest over the past four decades for biomedical imaging due to their unique advantages, which may suggest their use as alternatives to conventional methodologies. Several optical techniques have been successfully adapted to clinical practice and biomedical research to monitor tissue structure and function in both humans and animal models. This paper reviews the analysis of the optical properties of brain tissue in the wavelength range between 500 and 1000 nm by three different diffuse optical reflectance methods: spatially modulated illumination, orthogonal diffuse light spectroscopy, and dual-wavelength laser speckle imaging, to monitor changes in brain tissue morphology, chromophore content, and metabolism following head injury. After induction of closed head injury upon anesthetized mice by weight-drop method, significant changes in hemoglobin oxygen saturation, blood flow, and metabolism were readily detectible by all three optical setups, up to 1 h post-trauma. Furthermore, the experimental results clearly demonstrate the feasibility and reliability of the three methodologies, and the differences between the system performances and capabilities are also discussed. The long-term goal of this line of study is to combine these optical systems to study brain pathophysiology in high spatiotemporal resolution using additional models of brain trauma. Such combined use of complementary algorithms should fill the gaps in each system's capabilities, toward the development of a noninvasive, quantitative tool to expand our knowledge of the principles underlying brain function following trauma, and to monitor the efficacy of therapeutic interventions in the clinic.

Evaluating Application of Knowledge and Skills: The Use of Consensus Expert Review to Assess Conference Abstracts of Field Epidemiology Training Participants.

BACKGROUND: Often evaluations of training programs are limited - with many focusing on the aspects that are easy to measure (e.g., reaction of trainees) without addressing the important outcomes of training, such as how trainees applied their new knowledge, skills, and attitudes. Numerous evaluations fail to measure training's effect on job performance because few effective methods are available to do so. Particularly difficult is the problem of evaluating multisite training programs that vary considerably in structure and implementation from one site to another. PURPOSE: NA. SETTING: NA. INTERVENTION: NA. RESEARCH DESIGN: We devised a method of a consensus expert review to evaluate the quality of conference abstracts submitted by participants in Field Epidemiology Training Programs - an approach that can provide useful information on how well trainees apply knowledge and skills gained in training, complementing data obtained from other sources and methods. This method is practical, minimally intrusive, and resource-efficient, and it may prove useful for evaluation practice in diverse fields that require training. DATA COLLECTION AND ANALYSIS: NA. FINDINGS: NA.

Closed head injury-induced changes in brain pathophysiology assessed with near-infrared structured illumination in a mouse model.

Use of near-infrared (NIR) structured illumination technique has recently received great interest in biomedical research and clinical studies because of its ability to perform wide-field imaging and quantitatively map changes in tissue hemodynamic properties and morphological features in a noncontact and scan-free fashion. We report on the feasibility of using the same to quantitatively monitor and map changes in brain optical properties and physiological parameters pre- and post-closed head injury in a mouse model. Five anesthetized male mice underwent head injury by weight-drop model using a ~50-g cylindrical metal object falling from a height of 90 cm onto the intact scalp. During experiments, NIR structured illumination was projected on the mouse head at two spatial frequencies and six different NIR wavelengths. A CCD camera positioned perpendicular to the head recorded the diffuse-reflected light. Computer analysis performed off-line on the captured data reveals spatiotemporal changes in the distribution of brain tissue absorption and reduced scattering coefficients. Using Beer's law and Mie theory, hemodynamic (hemoglobin, oxygen saturation, and lipids) and morphological (scattering amplitude and power) changes up to 1-h post-trauma were observed in comparison with baseline measurements. Functional maps of different brain properties were also generated. Following injury, we found difference in both brain hemodynamic and morphologic properties with respect to baseline levels, where in some properties, this difference was considered statistically significant. Specifically, a t-test indicates a substantial decrease in oxyhemoglobin (HbO(2)) concentration and tissue oxygen saturation (StO(2)) post-injury (p < 0.01 and p < 0.001, respectively). Overall, our preliminary results demonstrate the potential application of NIR structured illumination technique to track and spatially map changes in intact mouse brain pathophysiological parameters following head injury.

Reducing health care costs for dementia patients: estimating savings from a caregiver support program.

OBJECTIVE: Estimating cost savings based on limited health care events within a short time span for a dementia care program. METHOD: Data on health care utilization of persons with dementia (PWDs) and caregivers were gathered in the Dementia Care Services Program in North Dakota from January 2010 to January 2012. Data were aggregated into 3-month intervals and compared to 3 months before program intervention. Paired and cross-time models were used to estimate cost savings. RESULTS: Health care cost savings for PWDs were estimated at US$143,118 to US$180,102 during the first 3 months after intervention, then decreased over time. Only the first 9 months could be used in the paired model due to small N and low power. DISCUSSION: For programs with short time spans and limited health care events, a cross-time model can be used to estimate cost savings while producing results similar to paired models.

Deciding when to put grandma in the nursing home: measuring inclinations to place persons with dementia.

For caregivers of persons with dementia, estimating when that person should be placed in long-term care is difficult. Health care providers also find it hard to give an exact time as to when the person should be placed. Using data from 197 caregivers working with the Dementia Care Services Project in North Dakota, we show that asking the caregiver about their inclination to place can be equated to asking them for a specific time to place (κ = .616). Using the probability density function of time to place we were able to translate it into inclination. This inclination is easier information for the caregiver to provide and places fewer burdens on the caregiver and patient. It also provides the health care provider with a measure of time to help advise caregivers and recommend interventions and provide service organizations with measures of cost savings to support the impact of outreach and intervention.