ArticlePloS one2026
Patient experience in National digital health platforms: Evidence from patient-generated feedback in Saudi Arabia.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
National digital health platforms are becoming fundamental components of modern healthcare delivery; however, patient experience is commonly assessed using overall ratings or sentiment analysis, providing limited understanding of the specific dimensions that influence digital healthcare quality and service improvement. This study aimed to develop a multidimensional framework for understanding patient experience in a national digital health platform, examine variation across healthcare services, investigate changes over time, and identify evidence-based improvement priorities. A qualitative analysis was conducted using 97,034 Google Play reviews of Sehhaty, the Saudi national digital health platform, posted between 2019 and 2026. Reviews were analyzed using an inductive coding approach to develop a patient experience framework, followed by comparative analyses across healthcare services and longitudinal analyses across successive stages of platform development. Nine patient experience dimensions were identified. Patient experience differed considerably across healthcare services, indicating that improvement priorities were service-specific rather than uniform across the platform. Longitudinal analyses showed a shift from predominantly technical concerns during early deployment toward challenges involving service accessibility, integration, continuity of care, as the platform matured. These findings enabled the identification of service-specific priorities for improving digital healthcare delivery. Patient experience in national digital health platforms is multidimensional, service-dependent, and evolves alongside platform maturity. The proposed framework extends approaches based primarily on ratings or sentiment by transforming large-scale patient-generated feedback into actionable evidence for healthcare quality improvement and continuous evaluation of patient-centered digital health services.
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.