293768
A health systems approach to systematic identification and referral of patients at-risk for diabetes
Adam Baus, MA, MPH,
School of Public Health, West Virginia University School of Public Health, Office of Health Services Research | West Virginia Clinical and Translational Science Institute, Morgantown, WV
Gina Wood, RD, LD,
Diabetes Prevention and Control Program, West Virginia Bureau for Public Health, Charleston, WV
Cecil Pollard, MA,
School of Public Health, West Virginia University School of Public Health, Office of Health Services Research, Morgantown, WV
Belinda Summerfield, RN,
Diabetes Prevention and Control Program, West Virginia Bureau for Public Health, Charleston, WV
Emma White, RN,
School of Public Health, West Virginia University School of Public Health, Office of Health Services Research, Morgantown, WV
Approximately 466,000 West Virginians, or about 25% of the state population, have pre-diabetes and are at high-risk for developing type 2 diabetes. Appropriate lifestyle intervention using the National Diabetes Prevention Program can prevent or delay onset of type 2 diabetes if those at-risk are identified and treated early. Community-level screenings to identify this high-risk group are often ineffective in that they are time and resource intensive and fail to link positively identified individuals to care. In response, the West Virginia Diabetes Prevention and Control Program and the West Virginia University Office of Health Services Research are developing a systematic approach to diabetes prevention within primary care centers. By importing electronic health record (EHR) data into a patient registry, patients at-risk for pre-diabetes are systematically identified and channeled to care. Preliminary analysis from pilot centers reveals that among 94,283 patients who do not have a documented diagnosis of diabetes or pre-diabetes, 10,673 (11.3%) meet one or more risk criteria. In-depth support is currently being provided to four primary care centers. Current lessons learned indicate that EHR data can be repurposed into a searchable patient registry to efficiently and systematically identify patients in need of screening or intervention. Further, this innovative use of EHR data supports primary care centers in achieving meaningful use of EHR data, fulfilling Patient-Centered Medical Home efforts, and reducing barriers in improving patient care thru enhanced data management.
Learning Areas:
Chronic disease management and prevention
Communication and informatics
Implementation of health education strategies, interventions and programs
Planning of health education strategies, interventions, and programs
Learning Objectives:
Describe how electronic health record data can be repurposed into a searchable patient registry to efficiently and systematically identify patients at-risk for diabetes for screening or referral
Demonstrate how innovative use of electronic health record data for pre-diabetes identification supports meaningful use of electronic health records, fulfillment of Patient-Centered Medical Home efforts, and reductions in barriers to improving care
Keyword(s): Primary Prevention, Public Health Informatics
Presenting author's disclosure statement:Qualified on the content I am responsible for because: During the past 10 years in my work with the West Virginia University Office of Health Services Research, I have had the opportunity to partner with primary care centers on chronic disease quality improvement initiatives. It is through this lens that I have had opportunity to refine and expand my work with primary care centers through research efforts as a student in Public Health Sciences at West Virginia University. This abstract reflects these efforts.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.