Advancing Cancer Workforce Capacity for American Indians and Alaska Natives: The Development of a Validated System to Optimize Trainee Participation and Outcome Tracking.

Although American Indian and Alaska Native (AIAN) students are the most underrepresented group in the U.S. in biomedical and health sciences relative to population size, little is known about long-term research education programs and outcome tracking. For over 20 years, the Partnership for Native American Cancer Prevention (NACP) has been supported under the National Cancer Institute's (NCI)-funded Comprehensive Partnerships to Advance Cancer Health Equity (CPACHE) program. Programming included hands-on mentored research and an array of development opportunities. A validated tracking system combining participation records, institutional records, and enrollment/degree attainment from the National Student Clearinghouse documents outcomes. Collectively (2002-2022) NACP engaged 367 AIAN trainees, of whom 237 individuals earned 220 bachelors, 87 masters, and 34 doctoral/professional degrees. Approximately 45% of AIAN doctoral recipients are currently engaged in academic or clinical work, and 10% in industry or tribal leadership. A total of 238 AIAN students participated in mentored research, with 85% demonstrating strong outcomes; 51% attained a degree, and 34% are currently enrolled. Implementation of a robust tracking system documented acceleration in degree attainment over time. Next steps will evaluate the most impactful training activities on student outcomes.

Using the Community Readiness Model to Assess American Indian Communities Readiness to Address Cancer Prevention and Control Programs.

Cancer disparities continue among American Indian and Alaska Native (AI/AN) populations while they have decreased among other racial and ethnic groups. No studies were found that utilized the Community Readiness Model (CRM) to ascertain the readiness of Tribal and American Indian organizations to participate in cancer research and cancer prevention and control initiatives. The Partnership for Native American Cancer Prevention conducted an assessment of the status of American Indian communities' readiness to implement activities for prevention, early detection, and treatment to improve AI/AN cancer rates. The assessment was a component of the Community Outreach Core of the grant. Thirty-four key Informants participated in the interview process. The Community Readiness Assessment (CRA) provided a baseline assessment of community partners' readiness to participate in cancer research and programming. Despite years of cancer intervention programs, the communities were classified as being in the early stages of readiness [1-5] of the nine-stage model. Additionally, findings showed low levels of awareness of previous or ongoing cancer research. The findings in prevention and control efforts indicated a need for technical assistance and funding to support community projects in prevention and control. This supported the implementation of a community grants initiative. They also indicated that communities were not ready to conduct research, despite ongoing cancer related research in at least two communities. Communication tools and social media methods and messages were developed to increase awareness of cancer as a health concern and cancer research in the community. The CRM informed these and other engagement activities to meet the appropriate stage of readiness for each Tribe/community, and to build their capacity to participate in cancer research and programming activities.

Consensus Building to Inform Common Evaluation Metrics for the Comprehensive Partnerships to Advance Cancer Health Equity (CPACHE) Program.

Common measures facilitate the standardization of assessment practices. These types of measures are needed to develop instruments that can be used to assess the overall effectiveness of the U54 Comprehensive Partnerships to Advance Cancer Health Equity (CPACHE) funding mechanism. Developing common measures requires a multi-phase process. Stakeholders used the nominal group technique, a consensus development process, and the Grid-Enabled Measures (GEM) platform to identify evaluation constructs and measures of those constructs. Use of these instruments will ensure the implementation of standardized data elements, facilitate data integration, enhance the quality of evaluation reporting to the National Cancer Institute, foster comparative analyses across centers, and support the national assessment of the CPACHE program.

Building Research Infrastructure: The Development of a Technical Assistance Group-Service Center at an RCMI.

As one of the Research Centers for Minority Institutions (RCMI), the Southwest Health Equity Research Collaborative (SHERC) worked over the first five-year period of funding to foster the advancement of Early Stage Investigators, enhance the quality of health disparities research, and increase institution research capacity in basic Biomedical, Behavioral, and/or Clinical research; all priorities of RCMIs. In year 4, the Technical Assistance Group-Service Center (TAG-SC) was created to help achieve these goals. The TAG-SC provides one-on-one investigator project development support, including research design, data capture, and analysis. Successful implementation of the TAG-SC was tracked using Research Electronic Data Capture (REDCap), a secure, web-based software platform allowing for immediate tracking and evaluation processes. In the first two years, 86 tickets were submitted through the REDCap system for methodological support by TAG-SC experts (faculty and staff) for assistance with health-equity related research, primarily SHERC and externally funded Social/Behavioral research projects. The TAG-SC increased the research capacity for investigators, especially within the SHERC. In this manuscript, we describe the methods used to create the TAG-SC and the REDCap tracking system and lessons learned, which can help other RCMIs interested in creating a similar service center offering an innovative way to build methodological infrastructure.

The Emirates Mars Mission (EMM) Emirates Mars InfraRed Spectrometer (EMIRS) Instrument.

The Emirates Mars Mission Emirates Mars Infrared Spectrometer (EMIRS) will provide remote measurements of the martian surface and lower atmosphere in order to better characterize the geographic and diurnal variability of key constituents (water ice, water vapor, and dust) along with temperature profiles on sub-seasonal timescales. EMIRS is a FTIR spectrometer covering the range from 6.0-100+ µm (1666-100 cm-1) with a spectral sampling as high as 5 cm-1 and a 5.4-mrad IFOV and a 32.5×32.5 mrad FOV. The EMIRS optical path includes a flat 45° pointing mirror to enable one degree of freedom and has a +/- 60° clear aperture around the nadir position which is fed to a 17.78-cm diameter Cassegrain telescope. The collected light is then fed to a flat-plate based Michelson moving mirror mounted on a dual linear voice-coil motor assembly. An array of deuterated L-alanine doped triglycine sulfate (DLaTGS) pyroelectric detectors are used to sample the interferogram every 2 or 4 seconds (depending on the spectral sampling selected). A single 0.846 µm laser diode is used in a metrology interferometer to provide interferometer positional control, sampled at 40 kHz (controlled at 5 kHz) and infrared signal sampled at 625 Hz. The EMIRS beamsplitter is a 60-mm diameter, 1-mm thick 1-arcsecond wedged chemical vapor deposited diamond with an antireflection microstructure to minimize first surface reflection. EMIRS relies on an instrumented internal v-groove blackbody target for a full-aperture radiometric calibration. The radiometric precision of a single spectrum (in 5 cm-1 mode) is <3.0×10-8 W cm-2 sr-1/cm-1 between 300 and 1350 cm-1 over instrument operational temperatures (<∼0.5 K NE Δ T @ 250 K). The absolute integrated radiance error is < 2% for scene temperatures ranging from 200-340 K. The overall EMIRS envelope size is 52.9×37.5×34.6 cm and the mass is 14.72 kg including the interface adapter plate. The average operational power consumption is 22.2 W, and the standby power consumption is 18.6 W with a 5.7 W thermostatically limited, always-on operational heater. EMIRS was developed by Arizona State University and Northern Arizona University in collaboration with the Mohammed bin Rashid Space Centre with Arizona Space Technologies developing the electronics. EMIRS was integrated, tested and radiometrically calibrated at Arizona State University, Tempe, AZ.

NACP: Partnership for Native American Cancer Prevention.

Cancer trends over a two-decade period show a greater reduction in cancer mortality rates for non-Hispanic Whites than for Native Americans. The Partnership for Native American Cancer Prevention (NACP) was established to address cancer health disparities that impact Native Americans. The partners are Northern Arizona University, the University of Arizona Cancer Center, Arizona's tribal communities and the National Cancer Institute. The activities include outreach, research and cancer education. Overall, NACP seeks to expand capacity for culturally-sensitive and community-relevant research on cancer, and to continue developing respectful collaborations that will empower sovereign Native American communities to define, implement, and achieve their goals for cancer health equity.

Evaluating Research Centers in Minority Institutions: Framework, Metrics, Best Practices, and Challenges.

The NIH-funded Research Centers in Minority Institutions (RCMI) program is currently funding 18 academic institutions to strengthen the research environment and contribution to health disparities research. The purpose of this multiphase mixed-methods study was to establish a uniform evaluation framework for demonstrating the collective success of this research consortium. Methods included discussions of aims and logic models at the RCMI Evaluators' Workshop, a literature review to inform an evaluation conceptual framework, and a case study survey to obtain evaluation-related information and metrics. Ten RCMIs participated in the workshop and 14 submitted responses to the survey. The resultant RCMI Evaluation Conceptual Model presents a practical ongoing approach to document RCMIs' impacts on health disparities. Survey results identified 37 common metrics under four primary categories. Evaluation challenges were issues related to limited human resources, data collection, decision-making, defining metrics, cost-sharing, and revenue-generation. There is a need for further collaborative efforts across RCMI sites to engage program leadership and community stakeholders in addressing the identified evaluation challenges and measurement. Program leadership should be engaged to apply the Evaluation Conceptual Framework and common metrics to allow for valid inter-institutional comparisons and consortium-wide evaluations. Stakeholders could ensure evaluation metrics are used to facilitate community impacts.

Key Strategies for Building Research Capacity of University Faculty Members.

Universities are under pressure to increase external research funding, and some federal agencies offer programs to expand research capacity in certain kinds of institutions. However, conflicts within faculty roles and other aspects of university operations influence the effectiveness of particular strategies for increasing research activity. We review conventional approaches to increasing research, focusing on outcomes for individual faculty members and use one federally-funded effort to build cancer-related research capacity at a public university as an example to explore the impact of various strategies on research outcomes. We close with hypotheses that should be tested in future formal studies.

A diagnostic evaluation model for complex research partnerships with community engagement: the partnership for Native American Cancer Prevention (NACP) model.

Complex community oriented health care prevention and intervention partnerships fail or only partially succeed at alarming rates. In light of the current rapid expansion of critically needed programs targeted at health disparities in minority populations, we have designed and are testing an "logic model plus" evaluation model that combines classic logic model and query based evaluation designs (CDC, NIH, Kellogg Foundation) with advances in community engaged designs derived from industry-university partnership models. These approaches support the application of a "near real time" feedback system (diagnosis and intervention) based on organizational theory, social network theory, and logic model metrics directed at partnership dynamics, combined with logic model metrics.