Rationale: Enrolling subjects for longitudinal research studies, ensuring their compliance and retaining them over a period of time pose a significant challenge to researchers. As an example, we had 62% and 30% retention at years 1 and 3 in a recently concluded study on knee osteoarthritis.
An Open Proposal Opportunity
Proposals on Proposal
Encouraging research collaboration and integrity by optimizing post-publication peer review for researcher participation
There is an integrity crisis in the life sciences.
The Immunological Microbiome Project: Collaborative Microbial database for the prediction of disease and immunological research
Rationale – The mammalian gastrointestinal (GI) tract contains hundreds of distinct species of commensal microbes under normal conditions, referred to as the ‘microbiota’. Recently, it has been appreciated that the microbiota exists in a mutualistic relationship with the host immune system.
1. Rationale – the science of operations.
CTSI’s Consultation Services Data Management Unit (DMU) is just one of the successful research resources available on campus to help UCSF faculty and staff with his/her research. Along with many other data management services, the DMU also provides consultation in data processing to help transform research data into a statistically analyzable format. In our efforts to provide consultation to the UCSF research community, we have realized that some trainees and faculty do not have the programming skills or resources to perform data processing tasks that are necessary to keep their research moving forward. Complicated data merges and transformations require specific programming expertise to ensure that it is performed correctly. Data management programmers, who can devote more time and effort to small projects, are needed. The DMU’s ability to provide these services is very limited. As a result, we have identified a gap in services that the Data Management Unit is currently able to provide.
Rationale: Currently, there is no direct pathway for health sciences research to move from scholarly publications into policy and law. Although some evidence is cherry-picked by advocates and policymakers, legislation often reflects rhetoric rather than evidence. While some translational researchers study the effects of laws or write white papers summarizing the state of the evidence, we know of none who take the approach of working with investigators to leverage their research and write model legislation.
The Challenging Path from Bench to Bedside
Translating an Effective Systems-Based Chlamydia Screening Intervention For Australian General Practitioners in New South Wales
Rationale Chlamydia trachomatis remains the most commonly reported bacterial sexually transmitted infection among U.S.
Rationale: Inaccurate sample size estimation leads to research studies that enroll too few or too many study participants. The former can result in failure to demonstrate anticipated effects and the latter to excessive costs, due to overuse of research participants and personnel time. While there are several important components of a good sample size calculation – including a compelling research question, an appropriate outcome variable, and an efficient study design – here we focus on improving the accuracy of the quantitative inputs.
Title: “Expedited” Expedited CHR submission and approval for Chart Review Research (Category 5)
Rationale: Clinical researchers often perform retrospective, chart-review studies as a relatively inexpensive and quick way of determining which clinical questions are worth pursuing before engaging in more expensive, time-consuming prospective studies.