BMC Health Serv Res May 2023 PMID 37143005

Continuous usage intention of mobile health services: model construction and validation.

Li Nie, Brian Oldenburg, Yingting Cao, Wenjie Ren

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Mentions

Peak: 4 in May 2023

across 3 sources since May 2023

Extended reach

2,234

potential audience

Total likes

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Mentions per month

May 2023 – May 2025

Where it's discussed

X / Twitter4 posts
News2 articles
YouTube1 videos

AI synopsis

What people are saying

The overall tone highlights substantial interest and engagement, with examples such as statements emphasizing the research's role in understanding user retention and the importance of personalized factors. Words like 'crucial,' 'significant,' and references to model validation indicate that social discussions view this publication as influential in advancing mHealth technology and user satisfaction models.

AgreementModerate agreement

Most discussions indicate strong support or acknowledgment of the importance of continuing research and findings related to mHealth services, showing general agreement with the publication.

InterestHigh interest

Posts demonstrate high interest by focusing on key factors influencing user retention and mentioning technological and user-centered aspects of mHealth, often using enthusiastic language.

EngagementHigh engagement

Several discussions analyze methods, implications, and model adjustments, reflecting deep engagement with the research’s details and significance.

ImpactHigh impact

The references to the potential for model improvements and the significance of user experience suggest that these discussions perceive the publication as highly impactful in shaping future mHealth strategies.

Abstract in brief

This research investigates the factors influencing the continuous usage of mobile health (mHealth) services by extending the Expectation Confirmation Model (ECMISC) to consider individual, technological, and environmental factors, and validates the model through surveys and data analysis.
The study found that the modified model explains a high percentage of variations in user expectations, usefulness, satisfaction, and ongoing usage intentions, although some factors like perceived system quality and usefulness did not significantly impact satisfaction, leading to adjustments in the model.
Overall, the results highlight key influences on the continued use of mHealth services and suggest that future models should consider unique health service and social environment factors to better understand user retention.]

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All mentions

Modeling and Validating Continuous Use of Mobile Health Services

This research investigates the factors influencing the continuous usage of mobile health services by extending the Expectation Confirmation Model to include individual, technological, and environmental factors. It…

Medicine RTCL TV · Aug 20, 2023 5 views

Mental Health x Technology Research

@mhxtech · X

Continuous usage intention of mobile health services: model construction and validation https://t.co/AZ8aR8MvYB

May 7, 2023 · 65 followers View post →

sakoda

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May 6, 2023 · 1 share · 1,097 followers View post →

RADISH 保健医療福祉における普及と実装科学研究会

@RADISH_2018 · X

May 5, 2023 · 10 likes · 1 share · 837 followers View post →

Baker Institute OAR

@BakerResOAR · X

Continuous usage intention of mobile health services: model construction and validation https://t.co/fK3qaGGOf2

May 5, 2023 · 207 followers View post →

A Study On The Factors That Influence Consumers Continuance ...

News

10.1186/s12913-023-09393-9. Further reading. Uzir, M.U.H., Al Halbusi, H., Lim, R. and Kassim, R.M. (2021), “Applied artiﬁcial intelligence and user ...

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