Continuous Usage of Mobile Health Applications:A Perspective Integrating the Expectation Confirmation Model and the Information Systems Success Model | Zendy

Sun Fan | Zendy; Yin Xiao Ke | Zendy

Open Access

Continuous Usage of Mobile Health Applications:A Perspective Integrating the Expectation Confirmation Model and the Information Systems Success Model

Author(s) -

Sun Fan,

Yin Xiao Ke

Publication year - 2025

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

eISSN - 2169-3536

DOI - 10.1109/access.2025.3621427

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

With the aim of promoting the continuous development of Mobile Health Applications (mHealth apps) and improving user stickiness, this study examines the determinants of users’ intention to continue using mHealth apps.Integrating the Expectation Confirmation Model (ECM) and Information Systems Success Model (ISSM), this study constructs a framework with four mHealth-specific factors (Technostress, Subjective Norms, Economic Benefits, Habits) to address gaps of ignoring non-rational and medical variables. Structural equation modeling (SEM) on 303 users reveals: (1) Technostress negatively affects Perceived Ease of Use; (2) System/Service/Information Quality positively impact Perceived Ease of Use and Usefulness; (3) Subjective Norms, Economic Benefits, Habits boost Continuance Intention; (4) Perceived Usefulness shows no significant link with Continuance Intention—challenging TAM/ECM in healthcare. This study offers practical guidance for mHealth optimization and enriches ECM-ISSM application in mHealth.

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