ArticleHealth care management science2020
Individuals' adoption of smart technologies for preventive health care: a structural equation modeling approach.
Article in Health care management science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Willingness to Pay for Telemedicine Among Patients With Chronic Diseases: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Influence of Disease-Related Stigma on Patients' Decisions to Upload Medical Reports to the German Electronic Health Record: Randomized Controlled Trial.JMIR human factors · 2024Trial
- Seniors' attitudes and intention toward IoT enabled healthcare devices in emerging economies.Scientific reports · 2025Article
- Extending the Privacy Calculus to the mHealth Domain: Survey Study on the Intention to Use mHealth Apps in Germany.JMIR human factors · 2023Article
- Does the Pro-Environmental Behavior of Household PV Installation Contribute to the Shaping of Users' Green Purchasing Behavior?-Evidence from China.Behavioral sciences (Basel, Switzerland) · 2023Article
- Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review.Interactive journal of medical research · 2023Article
- The Impact of Individuals' Social Environments on Contact Tracing App Use: Survey Study.JMIR human factors · 2023Article
- Behavioral Interpretation of Willingness to Use Wearable Health Devices in Community Residents: A Cross-Sectional Study.International journal of environmental research and public health · 2023Article
- Determinants of Telehealth Continuance Intention: A Multi-Perspective Framework.Healthcare (Basel, Switzerland) · 2022Article
- Adoption of Covid-19 contact tracing app by extending UTAUT theory: Perceived disease threat as moderator.Health policy and technology · 2022Article
- Frameworks for Implementation, Uptake, and Use of Cardiometabolic Disease-Related Digital Health Interventions in Ethnic Minority Populations: Scoping Review.JMIR cardio · 2022Article
- Toilet-based continuous health monitoring using urine.Nature reviews. Urology · 2022Review
- Integration of health care in the Basque Country during COVID-19: the importance of an integrated care management approach in times of emergency.Primary health care research & development · 2021Article
- Parents' Perspectives on Using Artificial Intelligence to Reduce Technology Interference During Early Childhood: Cross-sectional Online Survey.Journal of medical Internet research · 2021Article
- The Role of Transparency, Trust, and Social Influence on Uncertainty Reduction in Times of Pandemics: Empirical Study on the Adoption of COVID-19 Tracing Apps.Journal of medical Internet research · 2021Article
- Human Factors and Requirements of People with Cognitive Impairment, Their Caregivers, and Healthcare Professionals for mHealth Apps Including Reminders, Games, and Geolocation Tracking: A Survey-Questionnaire Study.Journal of Alzheimer's disease reports · 2021Article
- Insights into mobile health application market via a content analysis of marketplace data with machine learning.PloS one · 2021Article
- Perceived usability evaluation of Microsoft Teams as an online learning platform during COVID-19 using system usability scale and technology acceptance model in India.Children and youth services review · 2020Article
- A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer's disease (AD).Health care management science · 2020Review
- Disease characteristics influence the privacy calculus to adopt electronic health records: A survey study in Germany.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Healthcare is moving towards new patterns and models, with an increasing attention paid to prevention. Smart technologies for mobile health care are emerging as new instruments to monitor the state of essential parameters in citizens. A very debated subject in literature is the critical role played by citizens' acceptance and willingness to pay for mobile health technologies, especially whereas the services provided are preventive rather than curative. The adoption of such technologies is, indeed, a necessary condition for the success of mobile personalized health care. In this view, a conceptual framework, grounded on Technology Acceptance Model, is developed to explore the determinants of users' willingness to adopt and pay for a mobile health care application for cardiovascular prevention. Empirical data are collected from a sample of 212 non-hypertensive Italian individuals and analyzed through Structural Equation Modeling. Results confirm that usefulness and ease of use determine both intention to accept and willingness to pay for mobile health smart technologies. Results show also the significant role played by social influence as well the role as antecedents played by technology promptness, innovativeness and prevention awareness. This study offers novel insights to design and promote smart application to improve mobile health care, with implications for researchers and practitioners in health care, research & development, and marketing.
Indexed as
Identifiers
30684067What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.