ArticleFrontiers in digital health2025
Quantitative analysis of e-health's impact on health systems.
Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Acceptability and Perceived Usefulness of a Digital Gambling Harm Minimization Tool: Cross-Sectional Study.JMIR formative research · 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
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study evaluates the impact of e-health solutions on healthcare systems, focusing on how the perceived usefulness of these technologies affects healthcare workers' intentions to use them. Methods: The study used a cross-sectional approach in the form of a close-ended questionnaire to collect quantitative data from a sample of 130 healthcare professionals randomly selected. The collected data was then analyzed using SPSS version 30, statistical analysis was utilized such as frequency test, reliability analysis, and correlation coefficient analysis Results: The findings suggest a statistically significant correlation between attitudes toward e-health and intention to use, with a moderate effect. The implementation of e-health technologies has a positive impact on healthcare management, though the magnitude of the effect varies depending on the technology and context and prior computer expertise significantly influences health workers' attitudes toward adopting and using e-health Discussion: E-health technologies can significantly improve operational efficiency, reduce costs, and enhance the quality of care in healthcare system. Successful implementation requires careful planning, investment in infrastructure, addressing security concerns, and training of healthcare professionals.
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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.