Mentoring is an important developmental tool for academic scientists. The match between mentor and mentee is a critical factor than can influence outcomes for mentees. However, we know little about what factors should be considered when matching mentors and mentees. We draw on person-environment fit theory to examine how different factors related to the fit between mentors and mentees may influence outcomes for mentees in health-related scientific disciplines.

Data were collected from 76 mentor-mentee pairs who participated in a nine-month mentoring program for scientists interested in clinical and translational research. An index of supplementary fit was calculated to reflect mentor-mentee similarity in terms of race/ethnicity, gender, academic discipline, professional track, percent time allocated to research, and type of research. Complementary fit reflected the proportion of skills mentees identified as needs that their mentor felt comfortable providing. Mentee outcomes assessed included satisfaction with one’s mentor, learning and development experiences, and short-term research output.

As predicted, we found that supplementary fit was positively related to mentee satisfaction with the mentor. We found no support for the expected relationship between complementary fit and mentee learning development experiences or short-term research output. Supplementary analyses explored other non-hypothesized relationships among study variables.

This research underscores the need to consider different types of fit when matching academic mentors and mentees in clinical and translational science-related disciplines. Our results can be leveraged during the matching process in academic mentoring programs to maximize the success of mentoring relationships for scientists in health-related fields.

Little is known about what motivates people to enroll in research registries. The purpose of this study is to identify facilitators of registry enrollment among diverse older adults.

Participants completed an 18-item Research Interest Assessment Tool. We used logistic regression analyses to examine responses across participants and by race and gender.

Participants (N=374) were 58% black, 76% women, with a mean age of 68.2 years. All participants were motivated to maintain their memory while aging. Facilitators of registry enrolled varied by both race and gender. Notably, blacks (estimate=0.71, p<0.0001) and women (estimate=0.32, p=0.03) were more willing to enroll in the registry due to home visits compared with whites and men, respectively.

Researchers must consider participant desire for maintaining memory while aging and home visits when designing culturally tailored registries.

This study identified underlying career orientation types of clinical research coordinators (CRCs) using cluster analysis. Select career (satisfaction, engagement, and planning) and competency-related (perceived competence) information was used to identify four distinct career orientation types.

A web-based survey was administered to CRCs employed in one of four research institutions affiliated with a National Institutes of Health-funded Clinical and Translational Research Award (CTSA) in the southeastern USA. Each respondent completed a survey containing questions about personal background, individual attributes, perceived professional competence, and career orientation.

The first CRC type (35.2%) possessed a positive, knowledge-seeking orientation, characterized by high career-related scores but a conservative assessment of perceived competence. The second CRC type (18.6%) represented an optimistic and confident career orientation reflected in moderate to high scores on each of the four identifying factors. The third CRC type (27.6%) reflected an inconsistent career orientation highlighted by lowered perceived competence. The final CRC type (18.6%) reflected a disengaged orientation characterized by negative responses to all career and competence factors.

Understanding the career orientation of CRCs can be helpful to institutional administrators and clinical investigators as they seek to support the professional development of CRCs through tailored training efforts or work-related supports. Knowledge of career orientation may also inform individual CRCs as they manage their personal career paths by assessing current levels of functioning, career-related strengths or weaknesses, and training needs.

The conduct of Clinical and Translational Research (CTR) requires the engagement of highly effective collaborative teams. Clinical and Translational Science Award hubs have employed team-building strategies to improve team processes and interpersonal relationships in CTR teams. As previously reported, the University of Wisconsin Institute for Clinical and Translational Research (UW-ICTR) team science core operationalized and implemented one such strategy: Collaboration Planning. Here, we report on optimization of that intervention and assessment of three outcomes: (1) Changes in clarity and confidence around team processes; (2) Value and usefulness; and (3) Plans for future behavior change.

Collaboration Planning 2.0 improves upon our initial implementation by (1) optimizing the worksheet for flow, accessibility, and deeper discussion; (2) expanding the evaluation process; and (3) creating a facilitator training to support broad dissemination. We tested this iteration in 11 UW-ICTR pilot teams using pre- and post-session self-assessment surveys.

Data indicated an increase in participants’ clarity and confidence around all measured team processes except authorship. Ninety-one percent of participants found the intervention both valuable and useful. Participants indicated plans for future behavior change, including increased attention to team processes. To date, more than 400 individuals have completed the Collaboration Planning Facilitator Training, indicating a deep need in the community for tools for effective team-focused interventions.

These results provide evidence that Collaboration Planning is an effective, accessible, low-barrier intervention for improving team processes and interpersonal relationships in CTR teams. Future work includes expanded evaluation, greater personalization of the intervention, and self-administered facilitation.

The goal of this pilot study was to identify changes associated with completion of a unique six-week hand exercise program in persons with carpometacarpal osteoarthritis.

Twenty-four individuals, aged 55–80, with doctor-diagnosed carpometacarpal osteoarthritis participated in the study. Movement data from standard clinical motions and complex multi-planar motions were obtained using a motion capture system at three-time points: an initial visit, after two weeks of hand exercises, and after completion of the six-week exercise program.

This exercise program produced trends of improvement in complex multi-planar motions. Specifically, joint angle changes were seen during opposition and the formation of an “okay sign” that was included as part of the exercise program.

Through the use of motion capture, changes were identified in thumb joint function after exercise. Specifically, motions associated with the more complex multi-planar tasks showed changes in individual joint contributions following the six-week exercise intervention. The results suggest that further exploration of this exercise program, particularly the inclusion of complex multi-planar tasks during osteoarthritis treatment and associated evaluations, should be considered in future clinical studies.

The pediatric medical device development (PMDD) process is highly complex, beset by a variety of financial, technical, medical, and regulatory barriers. Startup company innovators and academic investigators often struggle with accessing specialized knowledge relating to regulatory requirements, product development, research, and marketing strategies.

The West Coast Consortium for Technology & Innovation in Pediatrics (CTIP) conducted an educational needs assessment to understand knowledge gaps and inform our educational strategy.

We surveyed a total of 49 medical device startups and 52 academic investigators. Electronic surveys were developed for each group on Qualtrics and focused on manufacturing, regulatory, research, commercialization, and funding. Descriptive statistics were used.

A larger proportion of academic investigator respondents had a clinical background compared to the startup respondents (45% vs. 22%). The biggest barriers for academic investigators were understanding regulatory and safety requirements testing (52%) and finding and obtaining non-dilutive funding was the most difficult (54%). Among startups, understanding clinical research methods and requirements was the biggest barrier (79%).

Startup companies and academic investigators have similar, but not identical, educational needs to better understand the PMD development process. Investigators need more support in identifying funding sources, while startup companies identified an increased need for education on research regulatory topics. These findings can help guide curriculum development as well as opportunities for partnerships between academia and startups.

Traumatic brain injury (TBI) is a leading cause of disability and death. Both repetitive transcranial magnetic stimulation (rTMS) and Cerebrolysin (CRB) are promising therapies regulating neural plasticity. This study aimed to assess the changes in resting-state brain activity following CRB, rTMS, or combined CRB-rTMS therapy.

This secondary analysis of the CAPTAIN-rTMS trial analyzed eyes-closed segments from EEG recordings at 30 days (baseline) and 180 days (after treatment) respectively. We computed relative power spectral densities for delta, theta, alpha and beta frequency bands, for the entire scalp and different regions. We conducted neuropsychological assessments and evaluated the correlations between resting-state relative power spectral density values and neuropsychological assessment performance.

We analyzed a total of 50 patients. For the entire scalp, we found statistically significant decreases in relative alpha power (p = 0.02) and significant increases in relative delta power (p = 0.02), further subgroup analysis showing differences between visits in the CRB + sham group (paired Cliff’s δ = 0.6, p = 0.012 for Delta band, δ = 0.6, p = 0.064 for Alpha band). The differences were higher in the central (alpha p = 0.004, delta p = 0.002) and parietal (alpha p = 0.012, delta p = 0.03), and lower in the frontal (alpha p = 0.05, delta p = 0.026), temporal (alpha p = 0.065, delta p = 0.077), and occipital (alpha p = 0.064, delta p = 0.084) regions. Neuropsychological tests performance was negatively correlated with resting-state relative delta power, and positively correlated with alpha power.

We found overall slowing of brain electrical activity during recovery after TBI, which was further influenced by rTMS and CRB treatment. Resting-state relative power spectral densities correlate with neuropsychological measurements.

Despite the intuitive attractiveness of bringing research to participants rather than making them come to central study sites, widespread decentralized enrollment has not been common in clinical trials.

The need for clinical research in the context of the COVID-19 pandemic, along with innovations in technology, led us to use a decentralized trial approach in our Phase 2 COVID-19 trial. We used real-time acquisition and transmission of health-related data using home-based monitoring devices and mobile applications to assess outcomes. This approach not only avoids spreading COVID-19 but it also can support inclusion of participants in more diverse socioeconomic circumstances and in rural settings.

Our team developed and deployed a decentralized trial platform to support patient engagement and adverse event reporting. Clinicians, engineers, and informaticians on our research team developed a Clinical-Trial-in-a-Box tool to optimally collect and analyze data from multiple decentralized platforms.

Applying the decentralized model in Long COVID, using digital health technology and personal devices integrated with our telehealth platform, we share the lessons learned from our work, along with challenges and future possibilities.

The Institute of Translational Health Sciences (Clinical and Translational Science Awards Program hub) developed a program coined Community Voices to invite communities to submit project ideas and be matched with academic researchers. We describe formative research to understand community and academic researcher perspectives on how the program could facilitate collaborations addressing community priorities.

We conducted four focus groups with 31 community-based organization (CBO) representatives and 11 semi-structured interviews with academic researchers in the Washington, Wyoming, Alaska, Montana, and Idaho regions. Questions included the appeal of Community Voices to engage community and academic partners, potential program usefulness, and Community Voices’ potential role in building community–academic partnerships. We used an inductive, constant comparison approach to code transcripts and thematic analysis to generate themes.

Most CBO representatives were female (87.1%) and Hispanic/Latino (61.3%). Most academic researchers had a PhD (63.6%) and worked at a university (81.8%). The themes were: (1) community–academic partnerships built on trust will offer mutual benefit, (2) community-initiated project ideas should prioritize community needs, (3) matchmaking will accelerate connections but should not replace time to foster partnership, (4) Community Voices should go beyond matchmaking and provide ongoing support/training, and (5) fostering effective communication is key to partnership success.

Community Voices is a novel, bidirectional community engagement program model that advances current practices of prioritizing researchers’ project ideas. This community-driven program may shift the future direction of community engagement practices where prioritizing community’s ideas becomes the norm of community–academic partnerships in clinical and translational science.

Experimental evidence is needed to evaluate interventions that curtail burnout for physical therapists. The goal of this research was to assess the impact of mindfulness-based training (MBT) on the well-being of physical therapists. We hypothesized physical therapists would demonstrate greater work engagement, empathy, and job satisfaction, and lower depression, anxiety, stress, and moral distress following MBT.

Thirteen physical therapists (10 female/3 male; 35.38 ± 9.32 years old) completed this two-arm embedded mixed-methods pilot study. The control group (n = 4) was followed while the intervention group (n = 9) completed six MBT sessions over 3 months. Sessions were assigned a representative topic area (meaning in physical therapy, situational- and self-awareness, compassion fatigue/burnout, implicit biases, establishing boundaries and managing conflict, self-care) with relevant reflective writing, small group discussions, and mindfulness strategies. Non-parametric statistics compared quantitative outcomes across and within groups, and a thematic framework matrix was established by way of qualitative description for data analysis.

Physical therapists in the intervention group had improved pre- to post-scores for work engagement, mental health, and moral distress (p ≤ 0.043). Inability to effect change contributed to compassion fatigue/burnout, whereas difficulty prioritizing self/limited personal time impeded self-care. “I realized how easy it is to get caught up in life and in helping out those around you, you completely forget to take time to check in with how you are doing (Physical Therapist 3).”

Implementing an MBT program demonstrates promise and may benefit the well-being of physical therapists while simultaneously enhancing employee retention and improving patient care.

UMHealthResearch is the University of Michigan’s digital health research recruitment platform. It allows health researchers to connect efficiently with potentially eligible volunteers.

In 2013, the UMHealthResearch team strategically adapted a consumer behavior model, the buying funnel, to create the Digital Health Research Participation Funnel. The Digital Health Research Participation Funnel was then used to design a more active way for potential participants to volunteer for research studies through UMHealthResearch.

In the 5 years before the redesign (2007–2012), an average of 1844 new accounts were created every year, whereas in the completed years after the redesign (2013–2016) the annual average improved to 3906, an increase of 111%.

Although a randomized design was not possible in this instance, these preintervention and postintervention data suggest that the focus on user experience is an effective strategy for improving web-based research recruitment platforms.