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OBJECTIVES/GOALS: “Cure Quest” is an adventure quest game about the process of new drug discovery and development. The player explores a magical island in search of a cure for a mysterious illness, traveling through different lands based on the stages of the drug discovery pipeline. Along the way, they must solve puzzles, decipher clues, and enlist the help of a ‘team science’ group of collaborators. The game uses a fantastical setting and engaging story to communicate the topic through metaphorical representations, instilling a sense of wonderment in the learning process. Real-world science is embedded into fictionalized lands such as the Labyrinth of Target Identification, the Forest of Small Molecule Discovery, the Tree of Biostatistics, the Mountains of FDA Approval and the Desert of Funding. The project represents a novel application of game-based learning to a complex topic not typically addressed through games. The process of designing and developing the game itself uncovers strong parallels between the interdisciplinary game design process and the interdisciplinary team science process. The objective of the game is to communicate high-level concepts of the drug discovery and development process, starting with the principles of ethical research and the motivations behind medical discovery, through the development of a new drug and finally to FDA approval. The goal is to improve understanding of clinical translational science among the different disciplines involved, and to raise overall awareness of the drug discovery process. METHODS/STUDY POPULATION: The game is being developed through a collaboration between faculty and students at ISMMS and the Games and Simulation Arts and Science Program at Rensselaer Polytechnic Institute. The first target audience is 2nd-3rd year medical students, with the future goal of adapting the game to a broader population. The game design is informed by specific learning outcomes, input from players in the target population and an ongoing iterative design process. The game is designed for mobile devices (iOS and Android), with an emphasis on narrative, exploration, and puzzle solving. Future evaluation will be performed through a quasi-experimental design comparing standard lectures with the game on a drug discovery. RESULTS/ANTICIPATED RESULTS: The game is currently in development, but the project has yielded insight into the design process for serious games in medicine. We found that for a game of this type it is essential not just to have both designers and subject matter experts, but to enable cross-pollination of modes of thinking. Through multiple design iterations and focus groups, we found that a game design approach rooted in narrative and allegorical abstraction would have a better ability to engage the target audience than one focused only on realistic simulation. When complete, we anticipate that the game will improve understanding of the core concepts in drug discovery. CureQuest is designed as an episodic game, following the sequence of stages in the drug discovery and development process. In this version of the game, we demonstrate five of the initial episodes: The City of Discovery of Unmet Medical Need; The Labyrinth of Target Identification; the Aquarium of Transgenic Phenotype Expression; the Rival Researcher Gang Quiz Battle; and the Desert of Funding. DISCUSSION/SIGNIFICANCE OF IMPACT: If successful, the game-based learning approach can help fill key gaps in current formal medical and scientific training, as well as gaps in understanding among the general public. The design process serves as an informative model of evolving collaborative team science.
OBJECTIVES/SPECIFIC AIMS: N/A. METHODS/STUDY POPULATION: N/A. RESULTS/ANTICIPATED RESULTS: N/A. DISCUSSION/SIGNIFICANCE OF IMPACT: There is an increasing need to foster cross-disciplinary research to address complex problems within healthcare. The Sinai Team-based Translational Education Program: the URM Propeller (STTEP-UP) is a NCATS funded program through the Icahn School of Medicine at Mount Sinai. Its goal is to facilitate URM post-doctoral trainees becoming innovative leaders in clinical and translational research. The program includes a team-based research component, where fellows collaborate on a project. This year, disciplines represented by the four fellows include Cardiology, Psychiatry, Neurology, and Pediatrics. Identifying a clinical question and designing an investigation was facilitated by group brainstorming meetings with program mentors. Fellows designed a project to identify medical testing and prescribing that were not clinically indicated throughout the healthcare system, with the goal of exploring whether an intervention, including provider education, could reduce ordering practices. In addition to regular in-person meetings, a licensed virtual learning environment and free web-based sharing platform were used to foster collaboration. Challenges faced throughout this process, included fellows struggling to find protected time, difficulties accessing broad sets of data across the healthcare system, and overcoming administrative barriers between departments. Strengths of this approach, included fellows learning new research strategies and feeling a deeper sense of commonality with their peers. Overall, this experience supports the idea that cross-disciplinary research improves the collaboration and education of emerging researchers. However, addressing logistical and systems-based barriers may better facilitate this education and research.
OBJECTIVES/SPECIFIC AIMS: Science and clinical practice are widely regarded as being complementary and synergistic. In an effort to enhance the team science, translational research capacity of the TL1 scholars at Icahn School of Medicine at Mount Sinai (ISMMS), the InCHOIR learning lab aims to provide an accessible, workforce-wide lecture series on the fundamental methods and concepts of randomized clinical trials. METHODS/STUDY POPULATION: The InCHOIR learning lab is a monthly 1 hour lecture series delivered by a range of expert clinical and translational researchers, followed by a 1 hour “Meet the Expert” session. The InCHOIR lecture series has covered a wide range of topics including, but not limited to: Decision Models; Race and Causal Inference; Innovative Strategies for Assessing Environmental Health across the Life Course; Statistics for Geneticists and Genetics for Statisticians; and From the Lab to Translation to Policy—The Neuroscience of Addiction. The “Meet the Expert” session offers TL1 predoctoral and postdoctoral scholars and KL2 scholars the opportunity to have intimate, informal discussions with experts about their career trajectories. RESULTS/ANTICIPATED RESULTS: Feedback from participants has been overwhelmingly positive. Participants have gained important insights into key topics relevant to early stage researchers. The “Meet the Expert” sessions have yielded honest and important conversations about crucial topics ranging from finding effective mentors to essential strategies for establishing a work-life balance, to overcoming adversity as underrepresented minorities and women in translational research. DISCUSSION/SIGNIFICANCE OF IMPACT: Attendance at the InCHOIR learning lab is increasing month on month, indicating the perceived need for this learning not just from early stage researchers, but also from students, senior faculty, and research staff more generally. The InChoir series provides added value through the creation of a video library, fostering new collaborations and contributing to the Icahn School of Medicine at Mount Sinai and Graduate Medical Education landscape. Priorities for the program are to increase internal visibility, in order to continue to grow attendance by MSHS students, research staff, nurses, postdoctoral fellows and residents. The program is also exploring how to engage external participation from regional CTSAs and from community advocates actively involved in community-academic research partnerships.
While junior clinical researchers at academic medical institutions across the US often desire to be actively engaged in randomized-clinical trials, they often lack adequate resources and research capacity to design and implement them. This insufficiency hinders their ability to generate a rigorous randomization scheme to minimize selection bias and yield comparable groups. Moreover, there are limited online user-friendly randomization tools. Thus, we developed a free robust randomization app (RRApp). RRApp incorporates 6 major randomization techniques: simple randomization, stratified randomization, block randomization, permuted block randomization, stratified block randomization, and stratified permuted block randomization. The design phase has been completed, including robust server scripts and a straightforward user-interface using the “shiny” package in R. Randomization schemes generated in RRApp can be input directly into the Research Electronic Data Capture (REDCap) system. RRApp has been evaluated by biostatisticians and junior clinical faculty at the Icahn School of Medicine at Mount Sinai. Constructive feedback regarding the quality and functionality of RRApp was also provided by attendees of the 2016 Association for Clinical and Translational Statisticians Annual Meeting. RRApp aims to educate early stage clinical trialists about the importance of randomization, while simultaneously assisting them, in a user-friendly fashion, to generate reproducible randomization schemes.
As clinical researchers at academic medical institutions across the United States increasingly manage complex clinical databases and registries, they often lack the statistical expertise to utilize the data for research purposes. This statistical inadequacy prevents junior investigators from disseminating clinical findings in peer-reviewed journals and from obtaining research funding, thereby hindering their potential for promotion. Underrepresented minorities, in particular, confront unique challenges as clinical investigators stemming from a lack of methodologically rigorous research training in their graduate medical education. This creates a ripple effect for them with respect to acquiring full-time appointments, obtaining federal research grants, and promotion to leadership positions in academic medicine. To fill this major gap in the statistical training of junior faculty and fellows, the authors developed the Applied Statistical Independence in Biological Systems (ASIBS) Short Course. The overall goal of ASIBS is to provide formal applied statistical training, via a hybrid distance and in-person learning format, to junior faculty and fellows actively involved in research at US academic medical institutions, with a special emphasis on underrepresented minorities. The authors present an overview of the design and implementation of ASIBS, along with a short-term evaluation of its impact for the first cohort of ASIBS participants.
It is increasingly essential for medical researchers to be literate in statistics, but the requisite degree of literacy is not the same for every statistical competency in translational research. Statistical competency can range from ‘fundamental’ (necessary for all) to ‘specialized’ (necessary for only some). In this study, we determine the degree to which each competency is fundamental or specialized.
We surveyed members of 4 professional organizations, targeting doctorally trained biostatisticians and epidemiologists who taught statistics to medical research learners in the past 5 years. Respondents rated 24 educational competencies on a 5-point Likert scale anchored by ‘fundamental’ and ‘specialized.’
There were 112 responses. Nineteen of 24 competencies were fundamental. The competencies considered most fundamental were assessing sources of bias and variation (95%), recognizing one’s own limits with regard to statistics (93%), identifying the strengths, and limitations of study designs (93%). The least endorsed items were meta-analysis (34%) and stopping rules (18%).
We have identified the statistical competencies needed by all medical researchers. These competencies should be considered when designing statistical curricula for medical researchers and should inform which topics are taught in graduate programs and evidence-based medicine courses where learners need to read and understand the medical research literature.
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