Hurricanes Irma and Maria and Diabetes incidence in Puerto Rico.

OBJECTIVE: To evaluate the impact of Hurricanes Irma/Maria on diabetes incidence in Puerto Rico. Mortality increased substantially after the hurricanes, but morbidity was not assessed. METHODS: We recruited 364 participants from the San Juan Overweight Adults Longitudinal Study (SOALS) aged 40-65 years who completed a three-year follow-up and were free of diabetes. We conducted additional questionnaires 1.7-2.5 years after hurricanes. Glycosylated hemoglobin (HbA1c), fasting glucose and insulin were assessed at all three visits. We compared diabetes incidence between pre-hurricane visits and between visits spanning the hurricanes using Generalized Estimating Equation (GEE) adjusting for within person repeated measures, age, and body mass index (BMI). RESULTS: Diabetes incidence was significantly higher spanning the hurricanes than pre-hurricane (multivariate GEE model: IRR = 2.1; 95% CI: 1.4-3.1). There was a significantly higher increase spanning the hurricanes compared to pre-hurricanes for Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) (median: 0.3 uIU/mL vs. 0.2 uIU/mL). HbA1c levels increased by 0.4% spanning the hurricanes. CONCLUSION: Increases in diabetes incidence, HOMA-IR and HbA1c were higher spanning the hurricanes compared to the pre-hurricanes period. The increase in diabetes incidence remains significant after adjusting for age and BMI.

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.