ArticleJournal of medical Internet research2021
Perceived Factors Influencing the Public Intention to Use E-Consultation: Analysis of Web-Based Survey Data.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 50 citations in OpenAlex.
- Using Theory-Based Frameworks to Identify Barriers, Facilitators, Expectations, and Willingness to Pay for Online Medical Consultation Services in China: Qualitative Study.JMIR human factors · 2026Article
- Healthcare consumers' acceptance and use of digital health technology in LMICs and the role of self-efficacy and facilitating conditions: a systematic review and meta-analysis.The Lancet regional health. Western Pacific · 2026Article
- Digital Divide in Awareness, Want, and Adoption Across Diverse eHealth Services: Cross-Sectional Survey of Inpatients in Jinan, China.Journal of medical Internet research · 2025Article
- Investigating Continuance Intention for Telehealth Visits in Children's Hospitals: Survey-Based Study.Journal of medical Internet research · 2025Article
- Perception and Acceptance of Telemedicine Use in Health Care Among the General Public in China: Web-Based Cross-Sectional Survey.Journal of medical Internet research · 2024Article
- Intention to use a mobile phone to receive mental health support and its predicting factors among women attending antenatal care at public health facilities in Ambo town, West Shoa zone, Ethiopia 2022.BMC health services research · 2023Article
- Perspectives of patients with colorectal cancer liver metastases on e-consultation in transmural care: a qualitative study : Is privacy really an issue?BMC health services research · 2023Article
- Influence of E-consultation on the Intention of First-Visit Patients to Select Medical Services: Results of a Scenario Survey.Journal of medical Internet research · 2023Article
- The Roles of Trust and Its Antecedent Variables in Healthcare Consumers' Acceptance of Online Medical Consultation during the COVID-19 Pandemic in China.Healthcare (Basel, Switzerland) · 2023Article
- Understanding Post-Adoption Behavioral Intentions of Mobile Health Service Users: An Empirical Study during COVID-19.International journal of environmental research and public health · 2023Article
- Developing a Quality Evaluation Index System for E-Consultation Doctor-Patient Communication Using the Delphi Method.Journal of multidisciplinary healthcare · 2023Article
- Understanding Tourists' Attitude Toward Online Travel Health Information During and Post-COVID-19: A Health Belief Model Application.Tourism and hospitality research : the Surrey quarterly review · 2022Article
- Patient Acceptance and Intention to Use e-Consultations During the COVID-19 Pandemic in the Eastern Province of Saudi Arabia.Frontiers in public health · 2022Article
- Translation and Validation of the Questionnaire on Acceptance to Telemedicine from the Technology Acceptance Model (TAM) for Use in Malaysia.BioMed research international · 2022Article
- The Impact of Signals Transmission on Patients' Choice through E-Consultation Websites: An Econometric Analysis of Secondary Datasets.International journal of environmental research and public health · 2021Article
- Exploring disparities of teleconsultation readiness: A comparative analysis of healthcare facilities in Indonesia.Digital healthArticle
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Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUnbalanced distribution of medical resources is becoming a major challenge, particularly in the selection of doctors. e-Consultation could provide patients with more choices of doctors and break the constraints of time and space. However, the acceptance of e-consultation is still poor and the mechanism of adoption is unclear.
objectiveThe aim of this study was to identify the factors influencing the public intention to use e-consultation and explore the effect path of the factors and behavior intention.
methodsThe hypotheses of our research model were developed based on the technology acceptance model and perceived risk theory. A web-based survey was conducted by an electronic questionnaire collection platform; this survey that consisted of a 29-item questionnaire with 5-point Likert scales was completed by 934 respondents. Structural equation modeling was used to analyze the data. Item evaluation and reliability, validity, path loading, goodness of fit, and multiple group analysis were used to check the moderation effects.
resultsThe standardized factor loadings of the items were between 0.551 and 0.873. The composite reliability of 9 constructs ranged from 0.706 to 0.840. The average variance extracted ranged from 0.387 to 0.640. The fitness indices showed that the collected data fitted well with the research model. Perceived usefulness was the strongest positive factor effecting behavior intention (β=.399, P<.001). Perceived ease of use had a positive effect on behavior intention but it was not statistically significant (β=.117, P=.07) and it had a positive effect on perceived usefulness (β=.537, P<.001). Perceived risk could be well explained by financial risk (β=.972, P<.001), privacy risk (β=.774, P<.001), social risk (β=.871, P<.001), time risk (β=.894, P<0.001), and psychological risk (β=.774, P<.001). Perceived risk had negative effects on perceived usefulness (β=-.375, P<.001) and behavior intention (β=-.297, P<.001). Personal innovativeness had a positive influence on perceived ease of use (β=.241, P<.001) and a slight effect on behavior intention (β=.124, P=.001). Age (χ
conclusionsPerceived usefulness and perceived risk have significant effects on public intention to use e-consultation. Therefore, platform and manufacturer must improve the function of e-consultation, which will promote the public intention to use e-consultation fundamentally. In order to control the perceived risk of public, government should play an important role in enforcing management of e-consultation markets and approving corresponding medical insurance policies. Besides, personal innovativeness had an effect on behavior intention. Moreover, the paths of factors had some heterogeneity among people with different characteristics. Therefore, it is necessary to adjust the strategies to fit more groups better.
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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.