ArticleBMC health services research2021
Factors associated with using the internet for medical information based on the doctor-patient trust model: a cross-sectional study.
Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Perceived Credibility of Health News and Its Relationship with Trust in Physicians and the Health Care System.Healthcare (Basel, Switzerland) · 2026Article
- Healthcare professionals' perspectives on disclosure of diagnosis and related issues in childhood cancer: A mixed methods systematic review.International journal of nursing sciences · 2026Review
- Disparities in Internet Medical Service Utilization Among Patients in Post-COVID-19 China: Cross-Sectional Study of Data From Provincial Field and National Online Surveys.Journal of medical Internet research · 2025Article
- Association Between Intergenerational Support, Technology Perception and Trust, and Intention to Seek Medical Care on the Internet Among Chinese Older Adults: Cross-Sectional Questionnaire Study.Journal of medical Internet research · 2025Article
- Attitudes, Awareness, and Willingness of Iranians Toward Using Telemedicine in Post-COVID Era: A Cross-Sectional Study.Health science reports · 2025Article
- The impact of internet medical service on rural gender inequality in health opportunity: a cross-sectional study.BMC public health · 2024Article
- The Relationship Between Static Characteristics of Physicians and Patient Consultation Volume in Internet Hospitals: Quantitative Analysis.JMIR formative research · 2024Article
- Telehealth Care Through Internet Hospitals in China: Qualitative Interview Study of Physicians' Views on Access, Expectations, and Communication.Journal of medical Internet research · 2024Article
- Public preferences for online medical consultations in China: a discrete choice experiment.Frontiers in public health · 2023Article
- Explicating the Cognitive Process of a Physician's Trust in Patients: A Moderated Mediation Model.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInternet medical care has been advancing steadily, especially during the coronavirus disease 2019 pandemic, the development momentum of Internet medical care in China is more vigorous. This study aimed to explore the factors associated with using the Internet for medical information, to examine the popularisation and implementation of Internet medical treatment and feasible strategies, and promote the further development of Internet medical treatment.
methodsA cross-sectional study was conducted on 408 medical patients who had used online medical services. The one-way analysis of variance or independent samples t-test was used to compare the differences in the influence of demographic characteristics on behavioural intentions of different people seeking medical care. Pearson's correlation was used to evaluate the correlation between different measurement variables. A mediation regression analysis was used to explore the mediating role of trust in Internet medical care.
resultsThe difference in the influence of Internet medical use frequency on the behavioural intention of different participants was statistically significant (F = 3.311, P = 0.038). Among the influencing factors, personal trust propensity (r = 0.387, P < 0.01), website credibility (r = 0.662, P < 0.01), hospital credibility (r = 0.629, P < 0.01), doctor's credibility (r = 0.746, P < 0.01), and online patient trust (r = 0.874, P < 0.01) were positively correlated with patients' behavioural intentions. In the analysis of intermediary factors, the total effect of the credibility of the diagnosis and treatment website on the behavioural intention of patients was 0.344. The total effect of the credibility of the diagnosis and treatment hospital on the behavioural intention of patients was 0.312; the total effect of the service doctor's credibility on the patient's behavioural intention was 0.385; the total effect of the personal trust tendency on the patient's behavioural intention was 0.296.
conclusionsThis study found defects in various factors that produce distrust in Internet medical treatment. It also reveals the positive effect of trust factors on the development and implementation of Internet medical treatment and provides some ideas for improving the use of Internet medical treatment by the masses.
Indexed as
Identifiers
What 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.