Category Archives: Spring 2016

How to increase diabetic patient adherence to self-management programs

Patient adherence is one of the most difficult changes to healthcare providers. This study models human behavior, both intentional and unintentional, relating to error in patient adherence of diabetes treatment. In a recent study, Penn State-CHOT researchers found that patient adherence was primarily driven by skill-based errors and intentional violations which lent itself to several risk mitigation strategies. This research study indicates that error classifications may be helpful in individualizing treatment interventions. By including device design modification, such as: (1) reduce patient inattention, (2) increase motivation to adhere, and (3) reduce pain barriers for glucometer use, this study demonstrated the feasibility of using an error classification approach in the identification and mitigation of the diabetes patients’ non-adherence with self-monitoring of blood glucose (SMBG).

Vaughn-Cooke, M., Nembhard, H. B., Ulbrecht, J., & Gabbay, R. (2015). Informing Patient Self-Management Technology Design Using a Patient Adherence Error Classification. Engineering Management Journal, 27(3), 124-130.

Research Contact:
Harriet Nembhard, PhD
hbn2@psu.edu

Which one first? Prioritizing Vaccines for effective pandemic response

When limited vaccines are available, prioritized vaccination is considered the best strategy to mitigate the impact of a pandemic. A recent study led by Dr. Eva Lee, Georgia Institute of Technology-CHOT Site Director, found that without delay in vaccination start time, there is a reduction in prevalence of more than twofold of H1N1. Policy makers can use the results from this study to more rapidly evaluate better trade-offs to save more lives and better utilize limited resources during a pandemic event.

This study is believed to be the first mathematical computational model to combine disease propagation, dispensing operations, and optimization capability. It is also the first to define and allow for rapid determination of optimal switch triggers. The CDC confirms that this is the first time an actionable and operation switch trigger has been defined, an advance that is critical and vital to better mitigation of infections and mass casualties.

Lee, E. K., Yuan, F., Pietz, F. H., Benecke, B.A., & Burel, G. (2015). Vaccine Prioritization for Effective Pandemic Response. Interfaces, 45(5), 425-443.

 

Research Contact:
Eva Lee, PhD
eva.lee@isye.gatech.edu