Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Diabetes

Date Submitted: Nov 16, 2022
Date Accepted: Apr 1, 2023

The final, peer-reviewed published version of this preprint can be found here:

Use of a Smartphone-Based Medication Adherence Platform to Improve Outcomes in Uncontrolled Type 2 Diabetes Among Veterans: Prospective Case-Crossover Study

Rai AS, Riddle MS, Mishra R, Nguyen N, Valine K, Fenney M

Use of a Smartphone-Based Medication Adherence Platform to Improve Outcomes in Uncontrolled Type 2 Diabetes Among Veterans: Prospective Case-Crossover Study

JMIR Diabetes 2023;8:e44297

DOI: 10.2196/44297

PMID: 37561555

PMCID: 10450533

Use of a mobile smart-phone based medication adherence platform to improve outcomes in uncontrolled type 2 diabetes, not treated with insulin, among veterans: a prospective case-crossover study

  • Amneet Singh Rai; 
  • Mark S Riddle; 
  • Rajendra Mishra; 
  • Nhien Nguyen; 
  • Kelly Valine; 
  • Megan Fenney

ABSTRACT

Background:

Medication non-adherence is a significant problem that impacts both the patient, as well as the health system.

Objective:

The objective of this study was to evaluate the impact of a novel smart phone application with patient response directed clinical intervention on medication adherence and blood glucose control in non-insulin dependent T2DM patients

Methods:

We enrolled 50 non-insulin dependent T2DM subjects with smart phones, from a rural health care center in Northern Nevada, for participation in this case-crossover study. Subjects underwent a standard of care arm and an intervention arm. Each study arm was 3 months in duration for a total of 6 months of follow up. Subjects had a hemoglobin A1c (HgbA1c) lab draw at enrollment, 3 months, and 6 months. Subjects had monthly Medication Adherence Scores (MAS) and Self-Efficacy for Appropriate Medication Use Scale (SEAMS) questionnaire completed at baseline and monthly for the duration of the study. Our primary outcomes of interest were the change in hemoglobin A1c between study arms. Secondary outcomes were the evaluation of the in proportion of subjects to achieve a clinically meaningful reduction in A1c and that required escalation of diabetes therapy between study arms. Exploratory outcomes included the analysis of the variation in MPR, MAS, and SEAMS during each study arm.

Results:

30 subjects completed both study arms and were included in the analysis. Dropouts were higher in subjects enrolled in the standard of care arm first (24.0% vs 12.0%). Subjects had a median HbgA1c of 9.1%, had been living with T2DM for 6.0 years, median age of 66 years, and a median of 8.5 medications. HgbA1c reduction was higher during the intervention arm (0.69%, versus 0.35%, p=0.30). More subjects achieved a clinically meaningful reduction in HgbA1c while in the application intervention arm (70.0% versus 40.0%; OR 2.29; 95% CI .94 to 5.6; p=0.09). Subjects had higher odds of a therapy escalation while in the standard of care arm (60.0% versus 16.7%, OR 4.3; 95% CI 1.2 to 15.2; p= 0.021). The median MPR prior to enrollment was 109.0%, 112.0% during the study’s intervention arm, and 102.0% during the standard of care arm. The median Real-time Medication Adherence score was 93.2%. The change in MAS (1.0 versus -0.1) and SEAMS (1.9 versus -0.2) from baseline to month 3 was higher in the intervention arm compared to standard of care.

Conclusions:

A novel smart phone application with patient response directed provider intervention holds promise in the ability to improve blood glucose control in complex non-insulin dependent T2DM and is worthy of additional study. This system of intervention maybe a viable solution to reduce medication burden by being a non-invasive method of reducing the need for diabetes medication escalation. Clinical Trial: 1655381


 Citation

Please cite as:

Rai AS, Riddle MS, Mishra R, Nguyen N, Valine K, Fenney M

Use of a Smartphone-Based Medication Adherence Platform to Improve Outcomes in Uncontrolled Type 2 Diabetes Among Veterans: Prospective Case-Crossover Study

JMIR Diabetes 2023;8:e44297

DOI: 10.2196/44297

PMID: 37561555

PMCID: 10450533

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.