scholarly journals The University of Michigan Honest Broker: A Web-based Service for Clinical and Translational Research and Practice

2009 ◽  
Vol 16 (6) ◽  
pp. 784-791 ◽  
Author(s):  
A. D. Boyd ◽  
P. R. Saxman ◽  
D. A. Hunscher ◽  
K. A. Smith ◽  
T. D. Morris ◽  
...  
Keyword(s):  
Translational Research ◽  
University Of Michigan ◽  
Web Based ◽  
Research And Practice ◽  
Honest Broker ◽  
The University ◽  
Clinical And Translational Research

scholarly journals Developing an Applied Biostatistical Sciences (ABS) network

2020 ◽  
pp. 1-5
Author(s):  
Shokoufeh Khalatbari ◽  
Dianne Jazdzyk ◽  
Janine Capsouras ◽  
Brad Downey ◽  
Eli Samuels ◽  
...  
Keyword(s):  
Translational Research ◽  
Health Science ◽  
Collaboration Network ◽  
University Of Michigan ◽  
High Quality ◽  
Staff Members ◽  
Common Interests ◽  
Professional Fields ◽  
The University ◽  
Clinical And Translational Research

Abstract Introduction: Access to qualified biostatisticians to provide input on research design and statistical considerations is critical for high-quality clinical and translational research. At diverse health science institutions, like the University of Michigan (U-M), biostatistical collaborators are scattered across the campus. This model can isolate applied statisticians, analysts, and epidemiologists from each other, which may negatively affect their career development and job satisfaction, and inhibits access to optimal biostatistical support for researchers. Furthermore, in the era of modern, complex translational research, it is imperative to elevate biostatistical expertise by offering innovative training. Methods: The Michigan Institute for Clinical and Health Research established an Applied Biostatistical Sciences (ABS) network that is a campus-wide community of staff and faculty statisticians, epidemiologists, data scientists, and researchers, with the intention of supporting both researchers and biostatisticians, while promoting high-quality clinical and translational research. Results: Since its inception in early 2018, the ABS Network has grown to several hundred faculty and staff members across a range of health and research disciplines. The ABS Network offers free trainings on innovative methods and tools in the biostatistical field, a web-based portal with resources and training lectures, and connections to U-M faculty and/or staff members for consultation and collaboration. Conclusions: Although challenging, if approached strategically, the creation of a collaboration network of biostatisticians can be accomplished. Furthermore, the process can be adopted and implemented for establishing collaboration with any network of professionals with common interests across different disciplines and professional fields regardless of size.

scholarly journals Training needs of investigators and research team members to improve inclusivity in clinical and translational research participation

2020 ◽  
pp. 1-5
Author(s):  
Susan R. Passmore ◽  
Dorothy Farrar Edwards ◽  
Christine A. Sorkness ◽  
Sarah Esmond ◽  
Allan R. Brasier
Keyword(s):  
Translational Research ◽  
Research Team ◽  
Research Participation ◽  
Training Needs ◽  
Web Based ◽  
Team Members ◽  
University Of Wisconsin ◽  
The University ◽  
Healthy Participants ◽  
Clinical And Translational Research

Abstract Despite increasing attention to the importance of diverse research participants, success across the translational research spectrum remains limited. To assess investigator and research team training needs, we conducted a web-based survey exploring barriers in knowledge and practice. Respondents (n = 279) included those affiliated with the University of Wisconsin Institute for Clinical and Translational Research (ICTR). Although all respondents reported an abstract belief in the importance of diversity, factors associated with higher levels of best practices knowledge and implementation included: (1) use of federal funding; (2) having fewer years of experience; (3) recruiting healthy participants; and (4) having recruitment training.

scholarly journals Interdisciplinary Collaboration: Librarian Involvement in Grant Projects

2017 ◽  
Vol 78 (3) ◽  
pp. 272 ◽  
Author(s):  
Marci D. Brandenburg ◽  
Sigrid Anderson Cordell ◽  
Justin Joque ◽  
Mark P. MacEachern ◽  
Jean Song
Keyword(s):  
Translational Research ◽  
Interdisciplinary Research ◽  
Interdisciplinary Collaboration ◽  
University Of Michigan ◽  
Research Projects ◽  
Literature Searching ◽  
Funding Program ◽  
Excellent Research ◽  
The University ◽  
Student Assistants

Librarians are excellent research collaborators, although librarian participation is not usually considered, thereby making access to research funds difficult. The University of Michigan Library became involved in the university’s novel funding program, MCubed, which supported innovative interdisciplinary research on campus, primarily by funding student assistants to work on research projects. This article discusses three different MCubed projects that all benefited from librarian involvement. These projects spanned across many areas from translational research to systematic reviews to digital humanities. Librarian roles ranged from mentoring and project management to literature searching.

scholarly journals A comprehensive approach to community recruitment for clinical and translational research

2018 ◽  
Vol 2 (4) ◽  
pp. 249-252
Author(s):  
Andrew L. Sussman ◽  
Carla Cordova ◽  
Mark R. Burge
Keyword(s):  
Translational Research ◽  
Underserved Populations ◽  
Research Participant ◽  
Medically Underserved ◽  
Science Center ◽  
Community Based ◽  
Participant Recruitment ◽  
University Of New Mexico ◽  
The University ◽  
Clinical And Translational Research

Recruitment and engagement for clinical and translational research is challenging, especially among medically underserved and ethnic or racial minority populations. We present a comprehensive model developed through the Clinical and Translational Science Center at the University of New Mexico (UNM) Health Sciences Center that addresses 3 critical aspects of participant recruitment. The components of the model are: (1) Recruitment from within UNM to UNM-centered studies, (2) recruitment from within UNM to community-based studies, and (3) recruitment from outside UNM to UNM-centered studies. This model has increased research participant recruitment, especially among medically underserved populations, and offers generalizable translational solutions to common clinical and translational research challenges, especially in settings with similar demographic and geographic characteristics.

Creating an Effort Tracking Tool to Improve Therapeutic Cancer Clinical Trials Workload Management and Budgeting

2011 ◽  
Vol 9 (11) ◽  
pp. 1228-1233 ◽  
Author(s):  
Pam James ◽  
Patty Bebee ◽  
Linda Beekman ◽  
David Browning ◽  
Mathew Innes ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Clinical Research ◽  
Data Management ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
University Of Michigan ◽  
Web Based ◽  
Workload Management ◽  
Effective Cost ◽  
The University

Quantifying data management and regulatory workload for clinical research is a difficult task that would benefit from a robust tool to assess and allocate effort. As in most clinical research environments, The University of Michigan Comprehensive Cancer Center (UMCCC) Clinical Trials Office (CTO) struggled to effectively allocate data management and regulatory time with frequently inaccurate estimates of how much time was required to complete the specific tasks performed by each role. In a dynamic clinical research environment in which volume and intensity of work ebbs and flows, determining requisite effort to meet study objectives was challenging. In addition, a data-driven understanding of how much staff time was required to complete a clinical trial was desired to ensure accurate trial budget development and effective cost recovery. Accordingly, the UMCCC CTO developed and implemented a Web-based effort-tracking application with the goal of determining the true costs of data management and regulatory staff effort in clinical trials. This tool was developed, implemented, and refined over a 3-year period. This article describes the process improvement and subsequent leveling of workload within data management and regulatory that enhanced the efficiency of UMCCC's clinical trials operation.

scholarly journals Effect of a Clinical and Translational Science Award institute on grant funding in a major research university

2017 ◽  
Vol 1 (2) ◽  
pp. 88-93 ◽  
Author(s):  
Felichism W. Kabo ◽  
George A. Mashour
Keyword(s):  
Research University ◽  
Translational Science ◽  
University Of Michigan ◽  
Academic Unit ◽  
Grant Proposals ◽  
Using Data ◽  
The University ◽  
The Impact ◽  
Heckman Selection ◽  
Clinical And Translational Research

IntroductionPrevious studies have examined the impact of Clinical and Translational Science Awards programs on other outcomes, but not on grant seeking. The authors examined the effects on grant seeking of the Michigan Institute for Clinical & Health Research (MICHR), a Clinical and Translational Science Awards institute at the University of Michigan.MethodsWe assessed over 63,000 grant proposals submitted at the University of Michigan in the years 2002–2012 using data from the university and MICHR’s Tracking Metrics and Reporting System. We used a retrospective, observational study of the dynamics of grant-seeking success and award funding. Heckman selection models were run to assess MICHR’s relationship with a proposal’s success (selection), and subsequently the award’s size (outcome). Models were run for all proposals and for clinical and translational research (CTR) proposals alone. Other covariates included proposal classification, type of grant award, academic unit, and year.ResultsMICHR had a positive and statistically significant relationship with success for both proposal types. For all grants, MICHR was associated with a 29.6% increase in award size. For CTR grants, MICHR had a statistically nonsignificant relationship with award size.ConclusionsMICHR’s infrastructure, created to enable and enhance CTR, has also created positive spillovers for a broader spectrum of research and grant seeking.

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