Evidence map›Paper›PMID 40191233›Full record

ArticleInternational journal of general medicine2025

Examining Healthcare Practitioners' Perceptions of Virtual Physicians, mHealth Applications, and Barriers to Adoption: Insights for Improving Patient Care and Digital Health Integration.

Haitham Alzghaibi

Abstract read
In one paragraph

Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Machine-learning methods for epilepsy diagnosis and therapeutic prevention: advances, setbacks, and opportunities.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Monitoring Upper Extremity Function of Individuals With Breast Cancer: Development and Usability of theInquiry : a journal of medical care organization, provision and financing
    Article
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

1 author.

Haitham AlzghaibiDepartment of Health Informatics, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.ORCID 0000-0003-2857-3065

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mobile health (mHealth) applications have transformed healthcare by enhancing access to medical information, facilitating remote consultations, and improving patient engagement. Despite their potential, adoption challenges persist, particularly concerning usability, integration with existing healthcare systems, and user trust. The Sehhaty application, a national digital health platform in Saudi Arabia, exemplifies these challenges. Identifying the barriers that hinder healthcare practitioners' engagement with mHealth applications is crucial for optimising their implementation and ensuring equitable access to healthcare services. Aim: This study examines healthcare practitioners' perceptions of mHealth applications, with a specific focus on the Sehhaty app, to identify key adoption barriers. It further aims to provide recommendations for enhancing usability, accessibility, and integration within existing healthcare infrastructures. Methods: A cross-sectional study was conducted among 574 secondary healthcare practitioners (SHCPs), including physicians, nurses, and administrative staff, working in secondary healthcare centres across Saudi Arabia. Data were collected using a structured questionnaire assessing ten primary barriers to mHealth adoption, including technical, usability, training, integration, privacy, organisational, communication, financial, and productivity-related challenges. The reliability of the instrument was evaluated using Cronbach's alpha, and descriptive statistics (frequencies, means, standard deviations) were computed. Correlation analysis was conducted to examine interrelationships among the identified barriers, providing insights into how different factors influence adoption. Data analysis was performed using SPSS (version 29) and R software. Results: The questionnaire demonstrated excellent internal consistency (Cronbach's α = 0.95). The most significant barriers identified included Technical Barriers (Mean = 3.32), Usability Barriers (Mean = 3.05), and Integration and Workflow Challenges (Mean = 3.20). Participants reported frequent technical glitches, slow system performance, and poor compatibility with existing healthcare platforms. Usability concerns, such as complex navigation and excessive steps required to complete tasks, further hindered adoption. Integration challenges, including lack of interoperability with electronic health records, were also highlighted. Privacy and security concerns (Mean = 3.26) emerged as a significant factor affecting trust in the application. Correlation analysis revealed strong interdependencies among barriers, with Technical Barriers correlating with Usability Barriers (r = 0.69) and Integration and Workflow Barriers (r = 0.62), underscoring the compounded effect of these challenges on user adoption. Conclusion: Healthcare practitioners encounter multiple barriers in adopting the Sehhaty app, predominantly related to technical performance, usability, and system integration. Addressing these challenges requires targeted improvements in interface design, system interoperability, and technical support. Future research should incorporate patient perspectives, examine long-term adoption trends, and evaluate the impact of mHealth applications on clinical efficiency and patient outcomes. The study's findings provide critical insights for policymakers, healthcare institutions, and technology developers seeking to enhance mHealth usability, digital health integration, and healthcare accessibility in Saudi Arabia's evolving healthcare landscape.

Indexed as

digital health integrationhealthcare practitionersmHealth adoptionSaudi ArabiaSehhaty applicationusability barriers

Identifiers

PMID40191233
PMCPMC11971970

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.