Hendy Abdelaziz, Farghaly Abdelaliem Sally Mohammed, Zaher Ahmed, Sadek Bothayna N, Nashwan Abdulqadir J, Al-Jabri Mohammed Musaed Ahmed, Ahmeda Ahmad, Hendy Ahmed, Alabdullah Amany Anwar Saeed, Sinnokrot Shaban Majed
Pediatric Nursing Department, Faculty Nursing Ain Shams University, Cairo, Egypt.
Department of Nursing Management and Education, College of Nursing, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
PeerJ. 2025 Apr 25;13:e19245. doi: 10.7717/peerj.19245. eCollection 2025.
The study aims to assess telehealth satisfaction among patients with chronic diseases focusing on key demographic and clinical factors that influence satisfaction.
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.
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, < 0.001), indicating a baseline high level of satisfaction. Age negatively impacted satisfaction (coefficient = -0.191, < 0.001), with older patients being less satisfied. Male patients showed a higher satisfaction rate (coefficient = 0.473, = 0.047), while education level, particularly having a bachelor's degree, was strongly associated with increased satisfaction (coefficient = 1.977, < 0.001). Marital status (married) was not a significant predictor ( = 0.403), whereas employment status (working) had a positive association with satisfaction (coefficient = 1.445, < 0.001). Income level (sufficient and save) did not significantly affect satisfaction ( = 0.561). Having children was positively associated with satisfaction (coefficient = 1.189, < 0.001).
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.
本研究旨在评估慢性病患者对远程医疗的满意度，重点关注影响满意度的关键人口统计学和临床因素。
于2023年12月1日至2024年1月30日期间，使用自我报告的在线问卷进行了一项描述性横断面研究。该研究针对使用远程医疗至少三个月的慢性病患者。在筛选合格性并确保数据完整性后，来自三家非政府医院的1070名患者的回复被纳入分析。问卷涵盖了人口统计学、社会经济和技术相关数据，以及远程医疗满意度量表。
共有62.9%的患者表示对他们接受的远程医疗服务满意，而37.1%的患者表示不满意。逻辑回归分析确定了几个与患者满意度相关的因素。常数项显著为正（系数 = 4.129，<0.001），表明基线满意度较高。年龄对满意度有负面影响（系数 = -0.191，<0.001），老年患者满意度较低。男性患者的满意度较高（系数 = 0.473，=0.047），而教育水平，特别是拥有学士学位，与满意度的提高密切相关（系数 = 1.977，<0.001）。婚姻状况（已婚）不是一个显著的预测因素（=0.403），而就业状况（有工作）与满意度呈正相关（系数 = 1.445，<0.001）。收入水平（充足且有储蓄）对满意度没有显著影响（=0.561）。有孩子与满意度呈正相关（系数 = 1.189，<0.001）。
满足人口统计学、社会经济和技术需求可以提高患者对远程医疗服务的满意度。根据特定患者的偏好调整服务，特别是针对老年患者和需要持续培训的患者，可以提高远程医疗的有效性和接受度。
