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Published on: April 19, 2019
Diabetes Management Through Remote Patient Monitoring: A Mixed-Methods Evaluation of Program Enrollment and Attrition
Dejun Su1, Tzeyu L Michaud1,2, Jessica Ern2
1Department of Health Promotion, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Younger patients or those with poorer health indicators were more likely to withdraw from remote patient monitoring (RPM) for diabetes. Addressing time constraints and patient needs can improve RPM program retention.
Area of Science:
- Health Services Research
- Digital Health
- Diabetes Management
Background:
- Remote patient monitoring (RPM) is increasingly used for diabetes care, but enrollment and attrition factors are understudied.
- Few studies have examined the reasons for patient participation or dropout in RPM programs for diabetes management.
Purpose of the Study:
- To investigate factors influencing enrollment and attrition in a remote patient monitoring program for diabetes management.
- To identify patient characteristics and feedback related to participation, withdrawal, and completion of RPM interventions.
Main Methods:
- A mixed-methods approach combining quantitative data analysis and qualitative interviews.
- Comparison of patient groups (completed, withdrew, declined) using chi-squared and t-tests.
- Logistic regression identified factors associated with dropout, while thematic analysis explored patient feedback.
Main Results:
- Out of 1993 patients invited, 13% declined, 16% withdrew, and 71% completed the RPM intervention.
- Younger age and poorer baseline health (higher blood glucose/blood pressure) correlated with higher withdrawal rates.
- Insufficient time was the primary reason cited for declining or withdrawing from the RPM program.
Conclusions:
- Younger patients and those with poorer baseline health face higher risks of withdrawing from RPM programs.
- RPM programs should adapt to patient needs, potentially offering incentives or more information to improve retention.
- Tailoring interventions to vulnerable populations can enhance engagement and success in remote diabetes management.
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