Background:Post-COVID-19 syndrome is a new and debilitating disease without adequate
treatment options. eHealth could be a reasonable approach for symptom
management.Objectives:This study aims to evaluate the acceptance for eHealth interventions for
symptom management in individuals with post-COVID-19 syndrome, as well as
drivers and barriers influencing acceptance.Design:Cross-sectional study.Methods:This study was conducted from January 19 until 24 May 2022. Recruitment took
place with a web-based survey. Acceptance and predictors of eHealth
interventions were measured by the extended UTAUT model. Included in the
model were the core predictor performance expectancy, social influence, and
effort expectancy. Previously diagnosed mental illness was estimated and
mental health by using the well-established Generalized Anxiety Disorder
Scale-7 and the Patient Health Questionnaire Depression Scale. The effect of
sociodemographic and medical data was assessed. Multiple hierarchical
regression analyses as well as group comparisons were performed.Results:342 individuals with post-COVID-19 syndrome were examined. The acceptance of
eHealth interventions for symptom management was moderate to high (M = 3.60,
SD = 0.89). Acceptance was significantly higher in individuals with
lower/other education, patients with moderate to severe symptoms during
initial COVID-19 infection, still significantly impaired patients, and
individuals with a mental illness. Identified predictors of acceptance were
age (β = .24,p< .001), current condition including
moderate (β = .49,p= .002) and still significantly
impaired (β = .67,p< .001), digital confidence
(β = .19,p< .001), effort expectancy (β = .26,p< .001), performance expectancy (β = .33,p< .001), and social influence (β = .26,p< .001).Conclusion:Patients with post-COVID-19 syndrome reported a satisfying level of
acceptance and drivers and barriers could be identified. These factors need
to be considered for the implementation and future use of eHealth
interventions.