ArticleJournal of medical Internet research2016
What Predicts Patients' Willingness to Undergo Online Treatment and Pay for Online Treatment? Results from a Web-Based Survey to Investigate the Changing Patient-Physician Relationship.
Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The Willingness to Pay for Telemedicine Among Patients With Chronic Diseases: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Examining Different Factors in Web-Based Patients' Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System.International journal of environmental research and public health · 2021Pooled it
- The Antecedents and Consequences of Health Care Professional-Patient Online Interactions: Systematic Review.Journal of medical Internet research · 2019Pooled it
- The Influence of Perceived Social Presence on the Willingness to Communicate in Mobile Medical Consultations: Experimental Study.Journal of medical Internet research · 2022Trial
- User Personas for eHealth Regarding the Self-Management of Depressive Symptoms in People Living With HIV: Mixed Methods Study.Journal of medical Internet research · 2025Article
- Establishing trust in emergency telehealth consultations.Emergency medicine Australasia : EMA · 2025Article
- Adoption of Digital Therapeutics in Europe.Therapeutics and clinical risk management · 2024Review
- Willingness to Use and Pay for Digital Health Care Services According to 4 Scenarios: Results from a National Survey.JMIR mHealth and uHealth · 2023Article
- Understanding psychology students' perspective on video psychotherapy and their intention to offer it after graduation: a mixed-methods study.Frontiers in psychology · 2023Article
- Factors Associated With the Utilization of Outpatient Virtual Clinics: Retrospective Observational Study Using Multilevel Analysis.Journal of medical Internet research · 2022Observational
- Explore How Online Healthcare Can Influence Willingness to Seek Offline Care.International journal of environmental research and public health · 2022Article
- Exploring the Peer Effect of Physicians' and Patients' Participation Behavior: Evidence from Online Health Communities.International journal of environmental research and public health · 2022Article
- Awareness of and interaction with physician rating websites: A cross-sectional study in Austria.PloS one · 2022Article
- Patients' choice preferences for specialist outpatient online consultations: A discrete choice experiment.Frontiers in public health · 2022Article
- Healthcare at Your Fingertips: The Acceptance and Adoption of Mobile Medical Treatment Services among Chinese Users.International journal of environmental research and public health · 2020Article
- Willingness of Patients Prescribed Medications for Lifestyle-Related Diseases to Use Personal Health Records: Questionnaire Study.Journal of medical Internet research · 2020Article
- Patient Perceptions of Video Visits Using Veterans Affairs Telehealth Tablets: Survey Study.Journal of medical Internet research · 2020Article
- What Patients Value in Physicians: Analyzing Drivers of Patient Satisfaction Using Physician-Rating Website Data.Journal of medical Internet research · 2020Article
- Role of Treatment Adherence, Doctor-Patient Trust, and Communication in Predicting Treatment Effects Among Tuberculosis Patients: Difference Between Urban and Rural Areas.Patient preference and adherence · 2020Article
- Expectations regarding eHealth among women with stress urinary incontinence.International urogynecology journal · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSubstantial research has focused on patients' health information-seeking behavior on the Internet, but little is known about the variables that may predict patients' willingness to undergo online treatment and willingness to pay additionally for online treatment.
objectiveThis study analyzed sociodemographic variables, psychosocial variables, and variables of Internet usage to predict willingness to undergo online treatment and willingness to pay additionally for online treatment offered by the general practitioner (GP).
methodsAn online survey of 1006 randomly selected German patients was conducted. The sample was drawn from an e-panel maintained by GfK HealthCare. Missing values were imputed; 958 usable questionnaires were analyzed. Variables with multi-item measurement were factor analyzed. Willingness to undergo online treatment and willingness to pay additionally for online treatment offered by the GP were predicted using 2 multiple regression models.
resultsExploratory factor analyses revealed that the disposition of patients' personality to engage in information-searching behavior on the Internet was unidimensional. Exploratory factor analysis with the variables measuring the motives for Internet usage led to 2 separate factors: perceived usefulness (PU) of the Internet for health-related information searching and social motives for information searching on the Internet. Sociodemographic variables did not serve as significant predictors for willingness to undergo online treatment offered by the GP, whereas PU (B=.092, P=.08), willingness to communicate with the GP more often in the future (B=.495, P<.001), health-related information-seeking personality (B=.369, P<.001), actual use of online communication with the GP (B=.198, P<.001), and social motive (B=.178, P=.002) were significant predictors. Age, gender, satisfaction with the GP, social motive, and trust in the GP had no significant impact on the willingness to pay additionally for online treatment, but it was predicted by health-related information-seeking personality (B=.127, P=.07), PU (B=-.098, P=.09), willingness to undergo online treatment (B=.391, P<.001), actual use of online communication with the GP (B=.192, P=.001), highest education level (B=.178, P<.001), monthly household net income (B=.115, P=.01), and willingness to communicate with the GP online more often in the future (B=.076, P=.03).
conclusionsAge, gender, and trust in the GP were not significant predictors for either willingness to undergo online treatment or to pay additionally for online treatment. Willingness to undergo online treatment was partly determined by the actual use of online communication with the GP, willingness to communicate online with the GP, health information-seeking personality, and social motivation for such behavior. Willingness to pay extra for online treatment was influenced by the monthly household net income category and education level. The results of this study are useful for online health care providers and physicians who are considering offering online treatments as a viable number of patients would appreciate the possibility of undergoing an online treatment offered by their GP.
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