ArticlePeerJ2025
Telehealth satisfaction among patients with chronic diseases: a cross-sectional analysis.
Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Satisfaction Resilience in Virtual Home Health Care for Chronic Disease Management: Lifestyle-Integration Motivation and Functional Equivalence Beliefs in a Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2026Article
- High Patient Satisfaction with a Digital Care Platform After Thoracolumbar Spine Surgery: A Registry-Based Analysis.Healthcare (Basel, Switzerland) · 2026Article
- Transportation Insecurity, Chronic Illnesses, and Healthcare Access: Associations with Telehealth Utilization, Homecare Visits, and Well-Being.Healthcare (Basel, Switzerland) · 2026Article
- Determinants of Telemedicine Satisfaction in Inflammatory Bowel Disease Patients: A Multi-Centre Cross-Sectional Study.Medicina (Kaunas, Lithuania) · 2026Article
- Determinants of Patient Satisfaction in a Cardiac Telemedicine Clinic: A Cross-Sectional Study From Saudi Arabia.Cureus · 2026Article
- Choosing between virtual and in-person family physician care: a qualitative study.Family practice · 2025Article
- Perception of Telepsychiatry in Saudi Adults with Major Depressive Disorder and Validation of the Telehealth Satisfaction Scale: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
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, 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.