Date of Award


Degree Type

Evidence-Based Project Report

Degree Name

Doctor of Nursing Practice (DNP)



First Advisor

Rose M. Flinchum


In 2018, 34.2 million Americans had diabetes and there continues to be 1.5 million Americans diagnosed with diabetes every year (ADA, 2018). Due to this increasing prevalence, self-management of type 2 diabetes mellitus (T2DM) is essential to disease management. The PICOT question for this project was: In adults with T2DM with a hemoglobin A1C (HbA1C) greater than 8% in a diabetes specialty clinic (P), what is the effect of a multimodal smartphone application (I) compared to prior nonuse of the application (C) on average blood glucose readings (O) over an 8-week period (T)? The project was completed in a large, metropolitan area located in southcentral Wisconsin. There was a total of 11 participants, comprised mostly of males with a range from 46-76 years of age. The Johns Hopkins Nursing Evidence-Based Practice (JHNEBP) Model was utilized to guide the development and implementation of this project. The project used a within-group design that evaluated the effect of a multimodal smartphone application on average blood glucose levels. Data were collected through patient-owned glucometers that were connected via Bluetooth to the mySugr© application. Pre-intervention and post-intervention blood glucose level data were analyzed using a paired sample t-test. Secondary outcomes included time in range (TIR), estimated HbA1C, and DES-SF scores. Statistically significant differences were found for average blood glucose levels (p = .008), TIR (p = .0025), estimated HbA1C (p = .00048), and DES-SF scores (p =.007). Findings from this project demonstrated that the use of a multimodal smartphone application can lower average blood glucose levels.

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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.