Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.9K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.9K
Lifestyle Factors and Health01:20

Lifestyle Factors and Health

209
Lifestyle factors play a critical role in maintaining overall health and preventing chronic diseases. Key elements, such as regular physical activity, a nutritious diet, and abstinence from smoking, can significantly enhance physical, mental, and emotional well-being while reducing the risk of several life-threatening conditions.
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
209
Current Trends in Nursing II01:30

Current Trends in Nursing II

1.4K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.4K
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.3K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.3K
Stress Prevention and Stress Management Techniques VI01:30

Stress Prevention and Stress Management Techniques VI

73
Adopting a healthier lifestyle often requires overcoming significant challenges, but leveraging psychological, social, and cultural resources can facilitate meaningful change. Effective self-change hinges on understanding and applying key tools such as motivation and goal setting, which help sustain efforts toward long-term health benefits.
Motivation and Self-Determination
Motivation, the driving force behind behavior, plays a pivotal role at every stage of the change process. The research...
73
Factors Affecting Illness01:18

Factors Affecting Illness

4.6K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
4.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Metabolic and Genetic Bases of High Carotenoid Deposition in Orange-Fleshed Potato Tuber.

Journal of agricultural and food chemistry·2026
Same author

[How New Quality Productivity Empowers the Enhancement of Carbon Emission Efficiency: An Analysis from the Perspective of Resource Aggregation].

Huan jing ke xue= Huanjing kexue·2026
Same author

Taurine supplementation in fish meal-free diet improved growth, alleviated hypoxic-induced gill injury associating with Ca<sup>2+</sup> homeostasis and endoplasmic reticulum stress in sub-adult grass carp (<i>Ctenopharyngodon idella</i>).

Animal nutrition (Zhongguo xu mu shou yi xue hui)·2026
Same author

Electroacupuncture regulates detrusor connexin 43 via protein kinase A pathway in a rat model of neurogenic bladder after spinal cord injury.

The journal of spinal cord medicine·2026
Same author

Microglia Attenuate Neuroinflammation After Subarachnoid Hemorrhage by Modulating Astrocyte Phenotypic Transformation via the RARα/Mafb/Msr1 Pathway.

Molecular neurobiology·2026
Same author

A RAIR-ATC transcriptional axis and multimodal drug-response modelling reveal class-level vulnerabilities in thyroid cancer.

Frontiers in pharmacology·2026

Related Experiment Video

Updated: Oct 2, 2025

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

3.0K

Factors Influencing Continued Usage Behavior on Mobile Health Applications.

Pei Wu1, Runtong Zhang1, Xiaomin Zhu2

  • 1School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China.

Healthcare (Basel, Switzerland)
|February 25, 2022
PubMed
Summary
This summary is machine-generated.

User habits and satisfaction drive continued use of mobile health apps. Understanding these factors is key for managing mHealth app engagement and improving health behaviors.

Keywords:
UTAUT2continued usage behaviorcontinued usage intentione-satisfactionmHealth apps

More Related Videos

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

2.7K
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

11.7K

Related Experiment Videos

Last Updated: Oct 2, 2025

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

3.0K
Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

2.7K
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

11.7K

Area of Science:

  • Digital Health
  • Human-Computer Interaction
  • Health Behavior Research

Background:

  • Mobile health (mHealth) applications are increasingly popular for improving user health behaviors.
  • Limited research exists on the factors motivating sustained mHealth app usage.
  • This study investigates drivers of electronic satisfaction and continued usage of mHealth apps.

Purpose of the Study:

  • To propose and test a research model predicting continued mHealth app usage.
  • To identify antecedents influencing users' electronic satisfaction (e-satisfaction) and continued behavior.
  • To extend the Unified Theory of Acceptance and Use of Technology (UTAUT2) for mHealth contexts.

Main Methods:

  • An online survey was conducted with 327 valid responses from mHealth app users in China.
  • Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test the proposed research model.
  • The model incorporated perceived reliability and online reviews as predictors.

Main Results:

  • Antecedents positively influenced continued usage intention, mediated by mHealth app e-satisfaction.
  • User habit was found to positively affect continued usage behavior.
  • Habit also moderated the relationship between e-satisfaction, continued intention, and mHealth app usage.

Conclusions:

  • The study offers theoretical contributions to the extended UTAUT2 framework.
  • Findings provide practical insights for managing mHealth applications in the Chinese market.
  • Understanding user habits and satisfaction is crucial for sustained mHealth app engagement.