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In 2013, the University of California, Biomedical Research, Acceleration, Integration, and Development (UC BRAID) convened a regional network of contracting directors from the five University of California (UC) health campuses to: (i) increase collaboration, (ii) operationalize and measure common metrics as a basis for performance improvement efforts, and (iii) identify and implement best practices to maintain a competitive edge in the field of biomedical research. This article summarizes an 18-month examination of performance metrics across the five campuses, including methods for data collection and harmonization agreed upon by the UC contracting offices. Some of the most striking, and previously unmeasured, results demonstrate that master agreements are a highly effective and successful strategy for significantly shortening the average time to completion of contract terms. Interestingly, clinical research organizations (CROs) significantly increase the time required to negotiate a contract. Results also point to the intra- and inter-organizational dependencies affecting time to contract execution. Systematic and transparent data collection among UC stakeholders is necessary to continue improvements to the system. However, data collection is only one component of the larger need to develop shared technology both within and between institutions. This study demonstrates that collaboration and sharing of contract terms is an effective way to reduce study activation time, but the greatest improvements will be driven by the sharing of data and technology tools.

Background and purposeThe National Institutes of Health (NIH) funds training programs to increase the numbers and skills of scientists who obtain NIH research grants, but few programs have been rigorously evaluated. The sizeable recent NIH investment in developing programs to increase the diversity of the NIH-funded workforce, implemented through the Diversity Program Consortium (DPC), is unusual in that it also funds a Consortium-wide evaluation plan, which spans the activities of the 10 BUilding Infrastructure Leading to Diversity (BUILD) awardees and the National Research Mentoring Network (NRMN). The purpose of this article is to describe the evaluation design and innovations of the BUILD Program on students, faculty, and institutions of the 10 primarily undergraduate BUILD sites.Key highlights of the projectOur approach to this multi-methods quasi-experimental longitudinal evaluation emphasizes stakeholder participation and collaboration. The evaluation plan specifies the major evaluation questions and key short- to long-term outcome measures (or Hallmarks of Success). The Coordination and Evaluation Center (CEC) embarked on a comprehensive evaluation strategy by developing a set of logic models that incorporate the Hallmarks of Success and other outcomes that were collaboratively identified by the DPC. Data were collected from each BUILD site through national surveys from the Higher Education Research Institute at UCLA (HERI), annual followup surveys that align with the HERI instruments, site visits and case studies, program encounter data ("tracker" data), and institutional data. The analytic approach involves comparing changes in Hallmarks (key outcomes) within institutions for biomedical students who participated versus those who did not participate in the BUILD program at each institution, as well as between institution patterns of biomedical students at the BUILD sites, and matched institutions that were not BUILD grantees. Case studies provide insights into the institutionalization of these new programs and help to explain the processes that lead to the observed outcomes.ImplicationsUltimately, the results of the consortium-wide evaluation will be used to inform national policy in higher education and will provide relevant examples of institutional and educational programmatic changes required to diversify the biomedical workforce in the USA.

IntroductionBiosamples and associated clinical data accelerate translational and clinical research discoveries. A lack of high quality biosamples both stalls projects and limits research advances. In this study, we targeted a wide audience of University of California (UC) biobanking stakeholders who were either involved with the collection or the utilization of biosamples to assess the scope of their biobanking activities and their interest in virtual biobanking or cooperating in the formation of the UC-wide biorepository.Materials and methodsEach institutional review board from the five UC medical campuses' provided a dataset of potential researchers involved with biobanking. Once identified, a brief six item web-based questionnaire was administered electronically to these researchers.ResultsMost survey participants (80%) responded "yes" (n = 348) that they were actively collecting biosamples for research, and 68% of participants indicated they would either definitely (30%, n = 131) or maybe (38%, n = 166) request biosample materials now or within the next year. An equal proportion of participants responded yes (42% or n = 184) and maybe (42% or n = 182) when asked if they would voluntarily contribute specimens to a UC-wide virtual biobank.DiscussionThe results presented above show high levels of support among UC biobanking stakeholders for both requesting material from and contributing material to a UC-wide virtual biobank. In addition, a considerable number of individual researchers on our five UC medical campuses are conducting biospecimen research (i.e., well over n = 435 respondents).

BackgroundThis study investigated the role of key individual- and community-level determinants to explore persisting racial/ethnic disparities in breast cancer stage at diagnosis in California during 1990 and 2000.MethodsWe examined socio-demographic determinants and changes in breast cancer stage at diagnosis in California during 1990 and 2000. In situ, local, regional, and distant diagnoses were examined by individual (age, race/ethnicity, and marital status) and community (income and education by zip code) characteristics. Community variables were constructed using the California Cancer Registry 1990-2000 and the 1990 and 2000 U.S. Census.ResultsFrom 1990 to 2000, there was an overall increase in the percent of in situ diagnoses and a significant decrease in regional and distant diagnoses. Among white and Asian/Pacific Islander women, a significant percent increase was observed for in situ diagnoses, and significant decreases in regional and distant diagnoses. Black women had a significant decrease in distant -stage diagnoses, and Hispanic women showed no significant changes in any diagnosis during this time period. The percent increase of in situ cases diagnosed between 1990 and 2000 was observed even among zip codes with low income and education levels. We also found a significant percent decrease in distant cases for the quartiles with the most poverty and least education.ConclusionsHispanic women showed the least improvement in breast cancer stage at diagnosis from 1990 to 2000. Breast cancer screening and education programs that target under-served communities, such as the rapidly growing Hispanic population, are needed in California.

The profile of California’s 17.7 million children and adults who are enrolled in HMO plans is more diverse than previously thought, according to the UCLA Center for Health Policy Research report. The report provides a more refined population-based profile of California’s HMO population than has previously been available, using data from the 2001 California Health Interview Survey (CHIS 2001). The report findings suggest that differences in language fluency and educational attainment of California’s HMO population present potential barriers for some HMO members in understanding HMO policies and programs. Funded by the California Office of the Patient Advocate (OPA), the report provides statewide and regional profiles of HMO enrollees and their socioeconomic characteristics, medical conditions and health status, health risk factors, and access to and utilization of health care. Key demographic findings about HMO enrollees statewide include: * Twenty-seven percent (27%) are immigrants, including 15% who are naturalized citizens and 12% who are noncitizens; * Thirty-four percent (34%) communicate at home in a language other than English or solely in another language; * Thirty-five percent (35%) of adults ages 18-64 and 45% of adults ages 65 and over have a high-school education or less; and, * Forty-one percent (41%) are nonwhite, including 19% Latino, 12% Asian American and Pacific Islander, and 7% African American.

Aims and Objectives: To identify whether a Compassionate Mind Model‐based curriculum reduces students' perceived fears of compassion and improves their professional well‐being. Background: Enabling compassion is mandatory within nurse education but evidencing it is challenging. Research suggests that application of the Compassionate Mind Model might reduce students' fears of compassion and also decrease compassion fatigue. This study reports outcomes of a post‐registration curriculum based on that model for training Specialist Community Public Health Nurses (Health Visiting). Design: A quantitative, prospective evaluation of a 12‐month training course for Health Visiting students. Reporting was guided by the STROBE checklist for observational studies. Methods: Fears of compassion scales were applied at course start (time 1), mid‐point (time 2; +6 months) and end (time 3; +12 months) to evaluate fears of compassion of 26 post‐registration student Health Visitors (81% of course cohort) who provided data at all three points. The Professional Quality of Life tool was administered simultaneously to evaluate compassion satisfaction and burnout/secondary traumatic stress (compassion fatigue). Results: Between time 1 and time 3, mean fears of compassion scores decreased by 16.6‐48.5% (repeated measures analysis of variance); mid‐point scores were intermediary. At time 3, compassion satisfaction had increased slightly (+4.1%), negatively correlated with fears of compassion for self (r = −0.602; p =.001; n = 26) and fears of receiving compassion from others (r = −0.568; p =.002; n = 26). Burnout score decreased by 18.7%, correlated positively with fear of compassion for self (r = 0.493; p =.011; n = 26) and fear of receiving compassion from others (r = 0.615; p =.001; n = 26). Secondary traumatic stress score decreased by 16.5% but was not correlated with any fear of compassion. Conclusion: Findings suggest that application of the Compassionate Mind Model might reduce practitioners' fears of compassion linked to a decrease in risk of compassion fatigue. Relevance to clinical practice: The Compassionate Mind Model could provide an effective vehicle to promote compassion and nurse well‐being. [ABSTRACT FROM AUTHOR]