[HTML][HTML] Why do healthcare workers adopt digital health technologies-A cross-sectional study integrating the TAM and UTAUT model in a develo** economy

OC Edo, D Ang, EE Etu, I Tenebe, S Edo… - International Journal of …, 2023 - Elsevier
Healthcare technology is a critical factor for effective management of patient care, resulting
in enhanced effectiveness when adopted by healthcare professionals. However, the lack of …

Exploring the resistance to e-health services in Nigeria: an integrative model based upon the theory of planned behavior and stimulus-organism-response

M Fan, BC Ezeudoka, SA Qalati - Humanities and Social Sciences …, 2024 - nature.com
Despite the evident advantages of electronic health services (eHS), there is a noticeable
opposition to their acceptance, which has raised a crucial question about why people …

Insight into online teaching behaviour of lecturers in Zimbabwean universities during the COVID-19 era and beyond: issues and challenges

N Rudhumbu, W Parawira, C Bhukuvhani… - … International Journal of …, 2021 - emerald.com
Purpose This study aims to establish the online teaching behaviour of university lecturers as
well as examine issues and challenges for online teaching in universities in Zimbabwe …

An empirical study of factors influencing e-health services adoption among public in Saudi Arabia

AA Almazroi, F Mohammed… - Health Informatics …, 2022 - journals.sagepub.com
Until now most of the studies concerning eHealth in Saudi Arabia are about the exploration
of the national benefits from eHealth and the technical and infrastructural challenges in …

Revisiting the extended IoT use behavior model among senior NCD patients for smart healthcare in Malaysia

CAN Malarvizhi, SR Manzoor… - International Journal of …, 2024 - igi-global.com
The growth of the senior population and the rise in chronic illnesses such as non-
communicable diseases (NCDs) are placing significant strain on modern healthcare …

[HTML][HTML] Redesigning portable health clinic platform as a remote healthcare system to tackle COVID-19 pandemic situation in unreached communities

MB Sampa, MR Hoque, R Islam, M Nishikitani… - International journal of …, 2020 - mdpi.com
Medical staff carry an inordinate risk of infection from patients, and many doctors, nurses,
and other healthcare workers are affected by COVID-19 worldwide. The unreached …

Game not over: Explaining older adults' use and intention to continue using a gamified eHealth service

MZM Hurmuz, SM Jansen-Kosterink… - Health informatics …, 2022 - journals.sagepub.com
Background Gamification within eHealth services can increase eHealth adoption. However,
little is known about factors affecting adoption of gamified eHealth among older adults. In …

[HTML][HTML] Blood uric acid prediction with machine learning: model development and performance comparison

MB Sampa, MN Hossain, MR Hoque… - JMIR medical …, 2020 - medinform.jmir.org
Background Uric acid is associated with noncommunicable diseases such as cardiovascular
diseases, chronic kidney disease, coronary artery disease, stroke, diabetes, metabolic …

[HTML][HTML] A machine learning web app to predict diabetic blood glucose based on a basic noninvasive health checkup, sociodemographic characteristics, and dietary …

MB Sampa, T Biswas, MS Rahman, NHBA Aziz… - JMIR …, 2023 - diabetes.jmir.org
Background: Over the past few decades, diabetes has become a serious public health
concern worldwide, particularly in Bangladesh. The advancement of artificial intelligence …

The Adoption of MyData-Based Health Applications Among Elderly Citizens in Nordic Countries and the UK

C Jayathilake, P Keikhosrokiani, M Isomursu - Nordic Conference on …, 2024 - Springer
This study addresses a crucial gap in current literature by examining the use of MyData-
based health apps among individuals aged 50 and above in the UK and Nordic nations …