Telehealth satisfaction among patients with chronic diseases: a cross-sectional analysis

Abstract

Background. The study aims to assess telehealth satisfaction among patients with chronic diseases focusing on key demographic and clinical factors that influence satisfaction. Methods. A descriptive cross-sectional study was conducted using a self-reported online questionnaire between December 1, 2023, and January 30, 2024. The study targeted chronic patients who had been using telehealth for at least three months. After screening for eligibility and ensuring data completeness, responses from 1,070 patients from three non-governmental hospitals were included in the analysis. The questionnaire covered demographic, socio-economic, and technology-related data, as well as a telehealth satisfaction scale. Results. A total of 62.9% of patients reported being satisfied with the telehealth services they received, while 37.1% expressed dissatisfaction. Logistic regression analysis identified several factors associated with patient satisfaction. The constant term was significantly positive (coefficient = 4.129, p < 0.001), indicating a baseline high level of satisfaction. Age negatively impacted satisfaction (coefficient = −0.191, p < 0.001), with older patients being less satisfied. Male patients showed a higher satisfaction rate (coefficient = 0.473, p = 0.047), while education level, particularly having a bachelor’s degree, was strongly associated with increased satisfaction (coefficient = 1.977, p < 0.001). Marital status (married) was not a significant predictor (p = 0.403), whereas employment status (working) had a positive association with satisfaction (coefficient = 1.445, p < 0.001). Income level (sufficient and save) did not significantly affect satisfaction (p = 0.561). Having children was positively associated with satisfaction (coefficient = 1.189, p < 0.001). Conclusion. Addressing demographic, socio-economic, and technological needs can enhance patient satisfaction with telehealth services. Tailoring services to specific patient preferences, especially for older patients and those needing continuous training, can improve telehealth effectiveness and acceptance.