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Published on: April 19, 2019
Acceptance, drivers and barriers of digital discharge management interventions among patients with cardiovascular
Finley Sam Mellis1,2, Alexander Bäuerle1,2, Simone Peters1
1Clinic for Psychosomatic Medicine and Psychotherapy, University of Duisburg-Essen, LVR-University Hospital Essen, Germany.
Insights
Digital discharge management interventions (DDMI) show high acceptance among cardiovascular disease patients. Key factors influencing adoption include performance and effort expectancy, social influence, and male gender. Tailoring interventions is crucial for success.
Area of Science:
- Cardiology
- Health Informatics
- Digital Health
Background:
- Cardiovascular diseases (CVD) are a leading global cause of mortality.
- High rates of unplanned rehospitalisation persist post-discharge for CVD patients.
- Digital interventions offer a potential solution to enhance chronic CVD management.
Purpose of the Study:
- To evaluate the acceptance of digital discharge management interventions (DDMI) in CVD patients.
- To identify factors influencing DDMI acceptance post-inpatient treatment.
- To explore the role of technology acceptance models in digital health interventions.
Main Methods:
- A cross-sectional survey was conducted with 259 CVD patients after inpatient care.
- Data collected included sociodemographic, medical, mental health, and e-Health factors.
- A modified Unified Theory of Acceptance of Use of Technology (UTAUT) model assessed DDMI acceptance.
Main Results:
- Overall acceptance of DDMI was high (M = 3.99, SD = 0.92).
- The UTAUT model explained 62.7% of the variance in acceptance.
- Significant predictors included male gender, effort expectancy, performance expectancy, and social influence.
Conclusions:
- DDMI demonstrate high acceptance among CVD patients post-hospitalization.
- Effort expectancy, performance expectancy, and social influence are key drivers for DDMI adoption.
- Future DDMI development should address identified barriers and tailor interventions to patient needs.
Abstract:
Background: Cardiovascular diseases (CVD) are the leading cause of mortality worldwide. Unplanned rehospitalisation rates after discharge remain high, reflecting the chronic nature of CVD and the frequent need for complex, multidisciplinary follow-up care. Digital interventions may provide a valuable complement to traditional discharge management in addressing these challenges. Patients and methods: This study aims to assess the acceptance of digital discharge management interventions (DDMI) and to investigate the underlying factors influencing acceptance among patients with CVD following inpatient treatment. A cross-sectional survey-based study was conducted from June to October 2024 with N = 259 patients with CVD following inpatient treatment. Sociodemographic, medical, mental health, and e-Health-related data were assessed. Acceptance of DDMI and its underlying factors were assessed using a modified model of the Unified Theory of Acceptance of Use of Technology (UTAUT). Results: The overall acceptance of DDMI was high (M = 3.99, SD = 0.92, range = 1-5). The extended UTAUT model explained 62.7% of the variance in acceptance, with male gender (β = -0.36, p < .001) and the UTAUT predictors effort expectancy (β = 0.40, p < .001), performance expectancy (β = 0.24, p < .001), and social influence (β = 0.20, p < .001) being significant predictors. Conclusions: These findings indicate a generally high acceptance of DDMI among patients with CVD following inpatient treatment. To develop and implement such interventions, key drivers and barriers such as effort expectancy, performance expectancy, and social influence should be addressed. Furthermore, such interventions should be tailored to patients' specific needs.
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