This mentored patient-oriented research career development award (K23) will support Dr. David Lee?s training and research to use geographically targeted and community-based methods to identify factors associated with micro-level disparities in diabetic outcomes and enhance monitoring of glycemic control among Black men. Though the prevalence of diabetes is increasing nationally, current diabetes surveillance methods are unable to identify hot spots of poor diabetic outcomes at a community level. However, studies based on a novel geographic method of diabetes surveillance have found that the increase in diabetes burden has been focused in specific communities, especially among Black neighborhoods. For Black adults, poor diabetes control has been associated with fewer primary care visits, less frequent HbA1c testing, and higher rates of emergency department use and hospitalizations, especially among diabetic Black men. Given this infrequent interaction with a usual source of healthcare, community-based settings may provide the advantages of pre- existing trust and engagement to optimize health outcomes for high-risk populations living in neighborhoods that are hot spots of diabetic complications. Thus, the specific aims of this proposal are 1) to use geospatial and quantitative methods to identify which micro-contextual factors account for local disparities in diabetic outcomes among Black communities, 2) to use geographically-targeted qualitative interviews to identify neighborhood-level factors that explain poor diabetic outcomes in certain Black communities, and 3) to perform community-based HbA1c testing and diabetes self-care surveys among Black men living in neighborhoods with a high prevalence of diabetic complications. This community-based research will leverage existing partnerships within a network of local Black-owned barbershops in New York City. Barbershops have become increasingly effective sites for promoting health and measuring health outcomes among Black men, a population which has high rates of mortality and morbidity from diabetes. The results of this research will inform future R-series applications to expand this approach to other high-risk subgroups in Black neighborhoods and other racial and ethnic communities with extremely poor diabetic outcomes. Dr. Lee?s training goals closely parallel his research aims and will further enhance his understanding of: 1) advanced quantitative analysis, 2) qualitative and mixed methods, 3) social and behavioral science, and 4) diabetes education and management. The proposed research and training will be conducted at the New York University School of Medicine and leverage resources of the other professional schools at NYU, which offer outstanding opportunities for collaboration, learning, and multidisciplinary research. This environment, in addition to his research and training plan will provide Dr. Lee with a strong foundation from which he can accelerate his career towards his goal of becoming a fully independent clinical investigator dedicated to reducing disparities in diabetes burden and improving health outcomes in communities that are overwhelmed by diabetic complications.

Public Health Relevance

The overall burden of diabetes is increasing nationally, but specific neighborhoods, especially in Black communities, have experienced a disproportionately higher prevalence of diabetes and its complications such as kidney failure and lower extremity amputations. The goal of the proposed research is to use a mix of quantitative and qualitative methods to identify the micro-contextual factors that account for local disparities in diabetic outcomes among Black communities with a high versus low prevalence of diabetic complications and to enhance the monitoring of glycemic control in neighborhoods with especially poor diabetic outcomes. This K23 career development award will foster Dr. David Lee?s transition to becoming a fully-independent investigator capable of conducting high-impact research to enhance our understanding of local disparities in diabetic outcomes among communities with overwhelming diabetes burden.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Mentored Patient-Oriented Research Career Development Award (K23)
Project #
1K23DK110316-01
Application #
9162541
Study Section
Diabetes, Endocrinology and Metabolic Diseases B Subcommittee (DDK-B)
Program Officer
Spain, Lisa M
Project Start
2016-08-15
Project End
2021-05-31
Budget Start
2016-08-15
Budget End
2017-05-31
Support Year
1
Fiscal Year
2016
Total Cost
$188,154
Indirect Cost
$13,285
Name
New York University
Department
Emergency Medicine
Type
Schools of Medicine
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
Lee, David C; Yi, Stella S; Fong, Hiu-Fai et al. (2017) Identifying Local Hot Spots of Pediatric Chronic Diseases Using Emergency Department Surveillance. Acad Pediatr 17:267-274
Lee, David C; Swartz, Jordan L; Koziatek, Christian A et al. (2017) Assessing the Reliability of Performing Citywide Chronic Disease Surveillance Using Emergency Department Data from Sentinel Hospitals. Popul Health Manag 20:427-434
Lee, David C; Yi, Stella S; Athens, Jessica K et al. (2017) Using Geospatial Analysis and Emergency Claims Data to Improve Minority Health Surveillance. J Racial Ethn Health Disparities :