Evidence map›Paper›PMID 42812416›Full record

ArticleFrontiers in public health2026

Enhancing health literacy and patient engagement through a privacy-aware social network-based digital health communication framework.

Nasser Allheeib, Salman Khan, Farah Mohammad, Dost Muhammad Khan

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nasser AllheeibDepartment of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.
Salman KhanDepartment of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.
Farah MohammadDepartment of Computer Science, University College of Duba, University of Tabuk, Tabuk, Saudi Arabia.
Dost Muhammad KhanSchool of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health applications and social-network-enabled healthcare platforms have transformed healthcare delivery by facilitating health communication, patient engagement, and access to medical information. However, the continuous exchange of sensitive biomedical data across interconnected digital environments raises significant ethical, privacy, and security challenges that may compromise user trust and the effective adoption of digital health technologies. Existing studies primarily address individual security and privacy concerns, with limited attention to integrated frameworks that simultaneously support ethical data governance, secure communication, and digital health education. This study proposes a privacy-preserving digital health communication framework that integrates social-network-based healthcare applications with a multi-cloud infrastructure, distributing healthcare data and services across multiple independent cloud service providers to support system availability, reliability, fault tolerance, and secure information management. The proposed methodology combines a healthcare communication architecture, role-based access control, and stakeholder specific privacy policies to facilitate secure information exchange among patients, healthcare professionals, caregivers, and emergency responders while supporting the ethical handling of biomedical data. The framework is conceptually evaluated by analyzing healthcare communication workflows, user roles, privacy requirements, and security threats across representative healthcare communication scenarios, including chronic disease monitoring, emergency response, and post-discharge care coordination. This analysis suggests that the proposed framework may support secure information sharing, improve coordination among healthcare stakeholders, strengthen patient awareness and health literacy, and facilitate timely healthcare decision-making while preserving data confidentiality and user privacy. By integrating privacy-preserving mechanisms with digital health communication, the proposed framework is designed to support secure digital health education and public health promotion, contributing conceptually to Sustainable Development Goals 3 (Good Health and Well-being), 4 (Quality Education), and 17 (Partnerships for the Goals).

Indexed as

Health CommunicationHealth LiteracyPatient ParticipationPrivacySocial NetworkingComputer SecurityConfidentialityDigital HealthHumansdigital health communicationhealth communication systemshealth education and promotionhealth literacypatient engagementprivacy in digital healthsocial health networks

Identifiers

PMID42812416
PMCPMC13619613

What OpenQuestion holds

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Registered trials

None linked

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.