Development and Evaluation of a Mobile Application to Prevent Recurrent Stroke by Enhancing Self-management on Health Outcomes for Stroke Survivors

Abstract

This study aimed to develop a Mobile Application to Prevent Recurrent Stroke to prevent recurrent stroke by enhancing self-management and to evaluate its effects on stroke survivors' health outcomes. The Mobile Application to Prevent Recurrent Stroke was developed based on social cognitive theory and the model in order of analysis, design, development, implementation, and evaluation process. The Mobile Application to Prevent Recurrent Stroke consisted of health management contents such as information about stroke, its associated risk factors, and required skills to conduct self-management with tailored support and counseling. A quasi-experimental preintervention and postintervention design was used involving a total of 54 stroke survivors. The experimental group (n = 27) was provided the Mobile Application to Prevent Recurrent Stroke for 8 weeks, whereas the control group (n = 27) received an education booklet. The result revealed that medication adherence (P = .002), healthy eating habit (P < .001), physical activity (P < .001), and affected-side grip strength (P = .002) in the experimental group were significantly better than those in the control group. The systolic blood pressure (P = .020), diastolic blood pressure (P < .001), body mass index (P < .001), and waist circumference (P < .001) in the experimental group were significantly lower than those in the control group. Stroke survivors can easily use this Mobile Application to Prevent Recurrent Stroke to improve self-management. Nurses can provide tailored care based on the lifelogging data of stroke survivors to prevent recurrent stroke.