Evidence map›Paper›PMID 41088101›Full record

ArticleBMC health services research2025

On the perspective of doctors' intention-a hybrid BYOD model.

Saima Nisar, Wan Rozaini Bt Sheik Osman, Alawiyah Bt Abd Wahab, Muhammad Shahzad Aslam

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Saima NisarSchool of Computing, College of Arts and Science, Universiti Utara Malaysia, Sintok, Malaysia.
Wan Rozaini Bt Sheik OsmanSchool of Computing, College of Arts and Science, Universiti Utara Malaysia, Sintok, Malaysia.
Alawiyah Bt Abd WahabSchool of Computing, College of Arts and Science, Universiti Utara Malaysia, Sintok, Malaysia.
Muhammad Shahzad AslamPeerMetric Research Consortium, School of Traditional Chinese Medicine, Xiamen University Malaysia, Jalan Sunsuria, Bandar Sunsuria, Sepang, 43900, Selangor, Malaysia. aslam.shahzad@xmu.edu.my.ORCID http://orcid.org/0000-0003-2728-6726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile devices enable doctors to make informed decisions that provide quality healthcare outcomes. With Bring Your Own Device (BYOD), privacy and security are considered primary concerns to doctors since they handle sensitive and highly confidential data.

objectiveThe study aims to identify the determinant factors that affect the adoption of BYOD among Pakistani doctors.

methodsA theoretical study was conducted to identify the determinant factors, and then a hybrid model based on the identified factors was proposed. The hybrid model was developed by integrating the UTAUT model and PMT. Performance expectancy, effort expectancy, social influence and facilitating conditions from the UTAUT model were incorporated with perceived vulnerability, perceived severity, response cost and self-efficacy factors from PMT. Data collection was performed based on snowball sampling and was realised through an online survey instrument on Facebook. A total of 245 licensed doctors from Pakistan participated in the survey.

resultsThe survey data were analysed using Structural Equation Modelling (SEM). The findings indicate that the hybrid model is an acceptable fit model as it explains 87 percent of the variance in behavioural intention. The results show that the UTAUT's performance expectancy, effort expectancy, facilitating conditions, and PMT's self-efficacy positively affected doctors' BYOD adoption, while PMT's perceived vulnerability and perceived severity had a negative impact.

conclusionsTheoretically, this study contributes to enhance the BYOD adoption model for the medical domain. The findings of this study also serve as a basis for hospital management to formulate and implement policies regarding data protection and security measures.

Indexed as

Attitude of Health PersonnelIntentionPhysiciansAdultConfidentialityFemaleHumansMaleMiddle AgedPakistanSelf EfficacySurveys and QuestionnairesBYOD adoption modelBYOD policiesHealthcare professionals adoption intentionPakistanProtection motivation theoryUnified theory of acceptance and use of technology

Identifiers

PMID41088101
PMCPMC12519610

What OpenQuestion holds

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LicenceCC BY
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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.