The NIDDK framework for translational research is expansive, ranging from bench to bedside all the way up to community-based interventions. But this extensive framework leaves some important gaps: (1) It sometimes disconnects laboratory from population research, impeding discovery of novel risk factors for diabetes and novel complications of diabetes or diabetes treatment;(2) It sometimes assumes that large trials have made treatment and prevention of diabetes matters of 'settled science', when in fact there are lingering controversies;(3) It generally ignores patient safety as a subject of investigation, despite persistent concerns about safety across a wide range of diabetes drugs and diabetes treatment strategies. (4) It sometimes ignores the underiying clinical complexity of patients with diabetes, especially those who are older or who have coexisting heart disease or cancer. At the Hopkins-UMD DRC, we have a track record of supporting research that fills these gaps, often with high-impact publications. We propose to construct a Healthcare &Population Science (HPS) Core that support research to fill these gaps and thereby serve a unique role nationally among the DRCs and CDTRs: The HPS Core will have 4 Sub-Cores: (1) Clinical, Molecular, and Pharmaco Epidemiology (Yeh, Segal) (2) Clinical Trials (Brancati, Davis);3) Behavior &Psychometrics Sub-Core (Hill-Briggs);(4) Biostatistics Sub-Core (Wang). Themes of special interest will include: Health Disparities;Evidence-Based Medicine (including Systematic reviews and Meta-analysis);Novel Risk Factors and Complications;Healthcare interventions (including Population Health and Disease management;Bariatric Surgery;Personalized Medicine;Tailored behavioral interventions;and Drug Safety.
The HPS Core will support research directly relevant to patient care, clinical decision-making, guideline development, and [Dost-marketing drug surveillance. It will also create a bridge from mechanistically oriented laboratory research and physiologic research in humans to population science.
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| Bilal, Usama; Hill-Briggs, Felicia; Sánchez-Perruca, Luis et al. (2018) Association of neighbourhood socioeconomic status and diabetes burden using electronic health records in Madrid (Spain): the HeartHealthyHoods study. BMJ Open 8:e021143 |
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| Gu, Cihang; Warkentin, Sarah; Mais, Laís Amaral et al. (2017) Ethnic differences in parental feeding behaviors in UK parents of preschoolers. Appetite 113:398-404 |
| Vakil, Rachit M; Chaudhry, Zoobia W; Doshi, Ruchi S et al. (2017) Commercial Programs' Online Weight-Loss Claims Compared to Results from Randomized Controlled Trials. Obesity (Silver Spring) 25:1885-1893 |
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