A three-step SEM-Bayesian network approach for predicting the determinants of CloudIoT-based healthcare adoption DOI

Iyad Altawaiha,

Rodziah Atan, Razali Yaakob

et al.

International Journal of Information Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 23, 2024

Language: Английский

The roles of trust, personalization, loss of privacy, and anthropomorphism in public acceptance of smart healthcare services DOI
Kaifeng Liu, Da Tao

Computers in Human Behavior, Journal Year: 2021, Volume and Issue: 127, P. 107026 - 107026

Published: Sept. 17, 2021

Language: Английский

Citations

232

Continuous Intention to Use E-Wallet in the Context of the COVID-19 Pandemic: Integrating the Health Belief Model (HBM) and Technology Continuous Theory (TCT) DOI Creative Commons
Ahmad Daragmeh, Judit Sági, Zoltán Zéman

et al.

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2021, Volume and Issue: 7(2), P. 132 - 132

Published: May 13, 2021

Personal safety has had a renewed focus throughout the COVID-19 pandemic, which led to behavioral change. The adoption of E-wallets facilitates social distancing and thereby helps prevent spread virus. This paper aims investigate potential for consumers' continued usage an E-wallet service through integrated framework based on two established models: Health Belief Model (HBM) Technology Continuous Theory (TCT). An electronic survey was distributed sample 1080 individuals from academic society in three different Hungarian universities who used wallet during pandemic COVID-19. Structural equation modelling (SEM) applied study explained 55.9% variance continuous intention towards usage. found that while strongly influenced current use e-wallets; pivotal factor affecting their is consumer self-efficacy. both short long-term implications; short-term, decisionmakers should utilize health threat constructs (as element protective behaviors taken pandemic) motivate consumers E-wallets; longer-term, banks develop further strategies encourage loyalty regarding by reassuring customers these financial services achieve value benefits they expect, resulting

Language: Английский

Citations

176

Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis DOI Creative Commons
Christine Jacob, Emre Sezgın, Antonio Sánchez-Vázquez

et al.

JMIR mhealth and uhealth, Journal Year: 2022, Volume and Issue: 10(5), P. e36284 - e36284

Published: March 22, 2022

Mobile health (mHealth) tools have emerged as a promising care technology that may contribute to cost savings, better access care, and enhanced clinical outcomes; however, it is important ensure their acceptance adoption harness this potential. Patient has been recognized key challenge requires further exploration.

Language: Английский

Citations

111

The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia DOI Creative Commons
Tsegahun Manyazewal,

Yimtubezinash Woldeamanuel,

Henry M. Blumberg

et al.

npj Digital Medicine, Journal Year: 2021, Volume and Issue: 4(1)

Published: Aug. 17, 2021

The World Health Organization (WHO) recently put forth a Global Strategy on Digital 2020-2025 with several countries having already achieved key milestones. We aimed to understand whether and how digital health technologies (DHTs) are absorbed in Africa, tracking Ethiopia as node. conducted systematic review, searching PubMed-MEDLINE, Embase, ScienceDirect, African Journals Online, Cochrane Central Registry of Controlled Trials, ClinicalTrials.gov, the WHO International Clinical Trials Platform databases from inception 02 February 2021 for studies any design that investigated potential DHTs clinical or public practices Ethiopia. This review was registered PROSPERO ( CRD42021240645 ) it designed inform our ongoing DHT-enabled randomized controlled trial (RCT) (ClinicalTrials.gov ID: NCT04216420 ). found 27,493 potentially relevant citations, among which 52 met inclusion criteria, comprising total 596,128 patients, healthy individuals, healthcare professionals. involved six DHTs: mHealth (29 studies, 574,649 participants); electronic records (13 4534 telemedicine (4 465 cloud-based application (2 2382 information communication technology (3 681 participants), artificial intelligence (1 study, 13,417 participants). targeted conditions: maternal child (15), infectious diseases (14), non-communicable (3), dermatitis (1), surgery (4), general conditions (15). outcomes interest were feasibility, usability, willingness readiness, effectiveness, quality improvement, knowledge attitude toward DHTs. Five RCTs. analysis showed although relatively recent phenomenon Ethiopia, their harnessing highly visible. Their adoption implementation full capacity require more training, access better devices such smartphones, infrastructure. hold much promise tackling major backlogs strengthening ecosystem More RCTs needed emerging including intelligence, big data, cloud, cybersecurity, telemedicine, wearable provide robust evidence use settings materialize WHO's Health.

Language: Английский

Citations

106

Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review DOI Open Access
Chen Wang,

Huiying Qi

Healthcare, Journal Year: 2021, Volume and Issue: 9(3), P. 357 - 357

Published: March 22, 2021

Purpose/Significance: Mobile health applications provide a convenient way for users to obtain information and services. Studying the factors that influence users’ acceptance use of mobile (apps or Apps) will help improve actual usage behavior. Method/Process: Based on literature review method using Web Science core database as data source, this paper summarizes relevant research results regarding influencing behavior application makes systematic from perspectives individual, society, (app App) design. Result/Conclusion: In terms individual dimension, is influenced by demographic characteristics motivations. Social attributes, source credibility, legal issues all affect user in social dimension. design functionality, perceived ease usefulness, security, cost are main factors. At end paper, suggestions given acceptability their

Language: Английский

Citations

100

Reported COVID-19 vaccines side effects among Jordanian population: a cross sectional study DOI Creative Commons

Haya Omeish,

Angam Najadat,

Sayer Al‐Azzam

et al.

Human Vaccines & Immunotherapeutics, Journal Year: 2021, Volume and Issue: 18(1)

Published: Oct. 6, 2021

Concerns about the safety and side effects of coronavirus SARS CoV2 vaccines have been raised among many communities worldwide. The aim this study was to describe reported by vaccinated individuals in Jordan. A cross-sectional survey used recruit responses from participants who were with either one dose or both doses any administered Jordan (AstraZeneca, Pfizer, Sinopharm). total 1,086 enrolled study. Most not infected before receiving vaccine (77.2%). Larger proportion population received Pfizer (40.6%) followed AstraZeneca (33.0%), Sinopharm (26.4%). Side after first most (89.9%) included pain at injection site (78.4%), fatigue (51.8%), myalgia (37.6%), headache (33.1%), chills (32.3%). To a lesser extent, there gastrointestinal such as nausea (15.1%), loss appetite (9.4%), diarrhea (6.4%). More significantly associated (P < .001). Only case for each second that their required hospitalization. In study, we found people experienced more least is vaccine. Our showed these are severe should be an obstacle against successful control pandemic

Language: Английский

Citations

82

Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model DOI Creative Commons

Jahir Uddin Palas,

Golam Sorwar, Md. Rakibul Hoque

et al.

BMC Medical Informatics and Decision Making, Journal Year: 2022, Volume and Issue: 22(1)

Published: July 24, 2022

Abstract Background Despite the high usage of mobile phones in daily life developing countries like Bangladesh, adoption and mHealth services have been significantly low among elderly population. When searching previous studies, researchers found that no studies empirically investigated whether quality service are significant for by elderlies Bangladesh. Hence , this study aimed to extend Unified Theory Acceptance Use Technology adding find key factors influence elderlies’ intention adopt use Methods A face-to-face structured questionnaire survey method was used collect data from 493 (aged 60 years above) The were analyzed with Structural Equations Modelling (SEM) Fuzzy Set Qualitative Comparative Analysis (fsQCA). Results SEM results suggested Social Influence, Hedonic Motivation, Price Value, Habit, Service Quality had impact ( p < 0.05) on behavioral services. Quality, Life, Habit explaining Behavior Life did not show > effect Behavioral Intention, which is inconsistent existing literature. In addition, fsQCA findings suggest how intensity influencers may contribute versus m-health outcomes. Conclusions implications theory, practice future research as explained paper. originality integration into UTUAT2 explain users’ behavioural behaviour. Overall, shaping appropriate policies designing implementing effectively countries.

Language: Английский

Citations

50

Adoption of mobile health services using the unified theory of acceptance and use of technology model: Self-efficacy and privacy concerns DOI Creative Commons
Yizhi Liu,

Xuan Lu,

Gang Zhao

et al.

Frontiers in Psychology, Journal Year: 2022, Volume and Issue: 13

Published: Aug. 11, 2022

Mobile health (mHealth) services have been widely used in medical and management through mobile devices multiple channels, such as smartphones, wearable equipment, healthcare applications (Apps), platforms. However, the number of users who are currently receiving mHealth is small. In China, more than 70% internet never services. Such imbalanced situation could be attributed to users' traditional concept treatment, psychological factors (such low self-efficacy) privacy concerns. The purpose this study explore direct indirect effects self-efficacy concerns on their intention adopt services, providing guidelines for service providers enhance adoption. A questionnaire was designed by research team 386 valid responses were collected from domestic participants China. Based unified theory acceptance use technology (UTAUT) model, a model integrated constructed investigate results show that facilitate had significantly positive effect perceived ubiquity, effort expectancy, performance expectancy subjective norm. This verifies different perspective studying adoption behavior. findings provide improve quality

Language: Английский

Citations

44

Resistance of multiple stakeholders to e-health innovations: Integration of fundamental insights and guiding research paths DOI Creative Commons
Shalini Talwar, Amandeep Dhir, Nazrul Islam

et al.

Journal of Business Research, Journal Year: 2023, Volume and Issue: 166, P. 114135 - 114135

Published: July 1, 2023

Consumer/user resistance is considered a key factor responsible for the failure of digital innovations. Yet, existing scholarship has not given it due attention while examining user responses to e-health The present study addressed this need by consolidating findings provide platform motivate future research. We used systematic literature review (SLR) approach identify and analyze relevant literature. To execute SLR, we first specified stringent search protocol with specific inclusion exclusion criteria studies. Thereafter, undertook an in-depth analysis 72 congruent studies, thus presenting comprehensive structure findings, gaps, opportunities Specifically, mapped elucidate nature causes offered three constituent groups healthcare ecosystem—patients, organizational actors, other stakeholders. Finally, based on understanding acquired through our critical synthesis, formulated conceptual framework, classifying into micro, meso, macro barriers which context interventions strategies required counter adoption, continued usage, positive recommendation intent. Being SLR in area multi-stakeholder perspective, offers fine-grained insights hospital management, policymakers, community leaders develop effective plan action overcome that impede diffusion

Language: Английский

Citations

36

Voice disorder detection using machine learning algorithms: An application in speech and language pathology DOI Creative Commons
Mujeeb Ur Rehman, Arslan Shafique, Qurat-Ul-Ain Azhar

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108047 - 108047

Published: Feb. 8, 2024

The healthcare industry is currently seeing a significant rise in the use of mobile devices. These devices not only provide ways for communication and sharing multimedia information, such as clinical notes medical records, but also offer new possibilities people to detect, monitor, manage their health from anywhere at any time. Digital technologies have potential improve patient care by making it more efficient, effective, cost-effective. Utilizing digital can positive impact on many conditions. This research focuses dysphonia, change sound voice that affects around one-third individuals some point lives. Voice disorders are becoming common, despite being often overlooked. Mobile systems quick efficient assistance detecting disorders. To make these reliable accurate, important develop an algorithm classify intelligently healthy pathological voices. achieve this task, we utilized combination several datasets Saarbruecken dataset (SVD), Massachusetts Eye Ear Infirmary database (MEEI), few private various voices (healthy pathological) Additionally, applied multiple machine learning algorithms, including decision tree, random forest, support vector machine, evaluate determine most effective among them detection experimental analyses performed terms sensitivity, accuracy, receiver operating characteristic area, specificity, F-score recall. results demonstrated algorithm, depending features selected using appropriate feature selection methods, proved be accurate diseases.

Language: Английский

Citations

15