The Effect of a Care Management Model for Ischemic Stroke Patients combined with Mobile Application on Caregiver Efficacy and Nurses Satisfaction in The Care Model
Keywords:
ischemic stroke, family caregiver, care management model, mobile application, nurses satisfactionAbstract
Introduction: Disability from ischemic stroke adversely affects patients’ quality of life and increases caregiver burden. Therefore, a systematic and continuous care management model integrated with a mobile application is essential to enhance family caregiver efficacy and nurses' satisfaction.
Research objectives: To compare family caregiver efficacy before and after implementing the care management model using a mobile application and to compare nurses’ satisfaction with the new model and usual care.
Research methodology: This quasi-experimental study applied Fisher & Fisher’s Information-Motivation-Behavioral Skills Model, the DMAHS Care Management Framework, and guidelines for stroke management through the Stroke Link mobile application. Purposive sampling included 36 family caregivers from the Stroke Unit, Neurological Institute of Thailand, divided equally into experimental (n = 18) and control groups (n = 18) using a pretest-posttest design with a comparison group. Efficacy was assessed at baseline, post-intervention, and at the 4-week follow-up. In addition, 17 nurses participated. Research instruments consisted of personal data, caregivers’ efficacy, nurses’ satisfaction, and the Stroke Link application. Data were analyzed using descriptive statistics, Wilcoxon signed-ranks test, Mann-Whitney U test, and Paired t-test.
Results: Family caregivers’ efficacy significantly improved after using the care management model with the mobile application and was higher than the control group (p < .05). Nurses reported significantly greater satisfaction with the model than with usual care (p < .05).
Conclusions: The care management model integrated with a mobile application effectively enhanced caregiver competency and increased nurses’ satisfaction.
Implications: The application should be expanded to other healthcare settings to reduce nurses’ workload, examine its long-term effectiveness, and be developed to support iOS for broader accessibility.
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