ArticleJournal of multidisciplinary healthcare2025
Effectiveness of Virtual Home Health Care for Chronic Diseases Management: A Cross-Sectional Study Among the Saudi Population.
Article in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Status of COPD in Saudi Arabia: challenges, gaps, and opportunities for health system transformation.Frontiers in public health · 2026Pooled it
- 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
- Motivation Outweighs Barriers in Predicting Perceived Effectiveness of Virtual Home Health Care for Chronic Disease Management in Saudi Arabia.Journal of multidisciplinary healthcare · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Chronic disease is a considerable public health concern in Saudi Arabia, as it affects the healthcare system and requires innovative healthcare solutions. Virtual Home Health Care (VHHC) has emerged as a promising approach in managing chronic diseases. This study aims to analyze the effectiveness of VHHC in managing chronic diseases from patients' perspectives in Saudi Arabia. Methods: This study used a cross-sectional design and a convenience sample of 517 patients with chronic diseases from various regions of Saudi Arabia (Eastern, Western, Central, Southern, and Northern Regions) who are current or former VHHC users were participated. An online, self-administered questionnaire was employed to gather patients' demographic information, chronic disease status, experiences with VHHC, and evaluations of VHHC's effectiveness. Results: The study revealed that the age group of 25 to 35 years represents the largest segment (39.5%) of participants, with 70% being female. The majority of participants (60.9%) held a bachelor's degree. Additionally, half of the participants (57.4%) have had a chronic illness for more than five years. Overall, respondents held a relatively positive opinion (weighted mean of 3.89 ± 0.710) of VHHC's effectiveness. Also, the results showed that disease duration and education level are significant predictors of VHHC effectiveness, according to the regression analysis, with disease duration exerting the greatest influence (B = 0.134, p = 0.034). Conclusion: Virtual home healthcare is a convenient experience for most participants, who are mostly satisfied with such services. However, some areas still need more improvement, which requires tailored strategies and initiatives to enhance health literacy, which is a significant predictor of effectiveness in the current study among patients with chronic diseases among patients with chronic diseases.
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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.