Determinants of Patient Satisfaction in a Cardiac Telemedicine Clinic: A Cross-Sectional Study From Saudi Arabia

Background The rapid integration of telemedicine into cardiovascular care requires a comprehensive understanding of patient satisfaction to maintain service quality and equity. Although telemedicine adoption is increasing in Saudi Arabia, patient-centered evaluations, particularly for specialized services such as cardiology in non-urban regions, are lacking. This study assessed patient satisfaction and identified its key predictors within a cardiac telemedicine service in Najran, Saudi Arabia. Patients and methods A prospective cross-sectional study was conducted among 109 consecutive patients attending the Najran Cardiac Virtual Clinic between June and August 2024. Participants completed a validated electronic survey that collected sociodemographic data, clinical history, and satisfaction levels across 12 domains of telemedicine care, rated on a four-point Likert scale from Poor to Excellent. High overall satisfaction was defined as a composite score at or above the 75th percentile of the sample distribution. Predictors of satisfaction were identified using univariate and multivariable logistic regression models. Results The mean age of participants was 47.1±17.2 years, and 60 (55.0%) were female. Overall satisfaction was very high, with 104 patients (95.4%) rating their experience as "Good" or "Excellent." The highest-rated domains were confidentiality and privacy (104/109, 95.4% Good/Excellent) and ease of use (104/109, 95.4%). Multivariable analysis identified two independent predictors of high satisfaction: higher educational attainment (associated with 3.1 times higher odds of high satisfaction; adjusted odds ratio (aOR): 3.1, 95% CI: 1.2-8.0; p=0.019) and a lower count of comorbidities (fewer than three versus three or more comorbidities; aOR: 2.8, 95% CI: 1.1-7.3; p=0.034). Conclusion Cardiac telemedicine services in Najran achieved high patient satisfaction and demonstrated broad acceptability across age, gender, and residential settings. This study provides one of the first patient-centered evaluations of a dedicated cardiac telemedicine service in a non-urban region of Saudi Arabia. However, significantly lower satisfaction was reported by patients with lower educational attainment and those with multiple comorbidities. To ensure equitable delivery, these groups require prioritized interventions such as tailored digital literacy support, simplified interfaces, and integrated care pathways.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2026-01-15
DOI
https://doi.org/10.7759/cureus.101613
Primary Topic
Patient Satisfaction in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of Patient Satisfaction in a Cardiac Telemedicine Clinic: A Cross-Sectional Study From Saudi Arabia

Hadi S Alyami, Yahya Alhosni, Abdulhadi Alyami, Mohammed Al-Shikh et al.
Cureus
Patient Satisfaction in Healthcare
article

Determinants of Patient Satisfaction in a Cardiac Telemedicine Clinic: A Cross-Sectional Study From Saudi Arabia

Hadi S Alyami, Yahya Alhosni, Abdulhadi Alyami, Mohammed Al-Shikh, Yazan Hassan, Sarah Al Qahtani, Ibrahim Hassan, Thabit Mohamed, Nada M Al Jaman, Ali A Al Manajam, Mohamed Badheeb, Abubaker A Mohammed, Ehab Ali, Abdulhakim Noman, Ahmed M Badheeb
article en

Abstract

Background The rapid integration of telemedicine into cardiovascular care requires a comprehensive understanding of patient satisfaction to maintain service quality and equity. Although telemedicine adoption is increasing in Saudi Arabia, patient-centered evaluations, particularly for specialized services such as cardiology in non-urban regions, are lacking. This study assessed patient satisfaction and identified its key predictors within a cardiac telemedicine service in Najran, Saudi Arabia. Patients and methods A prospective cross-sectional study was conducted among 109 consecutive patients attending the Najran Cardiac Virtual Clinic between June and August 2024. Participants completed a validated electronic survey that collected sociodemographic data, clinical history, and satisfaction levels across 12 domains of telemedicine care, rated on a four-point Likert scale from Poor to Excellent. High overall satisfaction was defined as a composite score at or above the 75th percentile of the sample distribution. Predictors of satisfaction were identified using univariate and multivariable logistic regression models. Results The mean age of participants was 47.1±17.2 years, and 60 (55.0%) were female. Overall satisfaction was very high, with 104 patients (95.4%) rating their experience as "Good" or "Excellent." The highest-rated domains were confidentiality and privacy (104/109, 95.4% Good/Excellent) and ease of use (104/109, 95.4%). Multivariable analysis identified two independent predictors of high satisfaction: higher educational attainment (associated with 3.1 times higher odds of high satisfaction; adjusted odds ratio (aOR): 3.1, 95% CI: 1.2-8.0; p=0.019) and a lower count of comorbidities (fewer than three versus three or more comorbidities; aOR: 2.8, 95% CI: 1.1-7.3; p=0.034). Conclusion Cardiac telemedicine services in Najran achieved high patient satisfaction and demonstrated broad acceptability across age, gender, and residential settings. This study provides one of the first patient-centered evaluations of a dedicated cardiac telemedicine service in a non-urban region of Saudi Arabia. However, significantly lower satisfaction was reported by patients with lower educational attainment and those with multiple comorbidities. To ensure equitable delivery, these groups require prioritized interventions such as tailored digital literacy support, simplified interfaces, and integrated care pathways.

CureusVol. 18(1)
Prince Sultan University (SA), Bridgeport Hospital (US), King Khaled Hospital (SA)
No poverty
Openalex Percentile: Top 89%
Patient Satisfaction in Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.