An Investigation of Patient Decisions to Use eHealth

Zheng, Shuang; Chang, Po-Ya; Chen, Jiahe; Chang, Yu‐Wei; Fan, Hueng-Chuen

doi:10.4018/joeuc.289433

Cited by 12 publications

(27 citation statements)

References 61 publications

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“…It implies that doctors will have a positive attitude toward offering consulting services in eHealth when they are satisfied with the rewards, including an increased number of online patients and offline outpatients (Liu et al. , 2018; Zheng et al. , 2022).…”

Section: Discussionmentioning

confidence: 99%

“…, 2016). Besides, patients' behavioral intentions in eHealth have been verified to be different under free or paid online healthcare services (Zheng et al. , 2022).…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

“…Previous studies have found significant differences in the factors affecting behavioral intentions in groups with different characteristics, such as personalities (Lu and Hsiao, 2010), cultural characteristics (Chang et al. , 2015), and payment modes (Zheng et al. , 2022).…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

“…, 2019; Le et al. , 2019; Zheng et al. , 2022) and an information technology-based perspective (Cao et al.…”

Section: Introductionmentioning

confidence: 99%

“…, 2019). Thus, different motivations and behaviors perhaps vary under different charging modes (Zheng et al. , 2022).…”

Section: Introductionmentioning

confidence: 99%

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For free or paid? A comparison of doctors' intention to offer consulting services in eHealth

Chen

Hsu

Chang

et al. 2022

IMDS

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PurposeConsidering both online and offline service scenarios, this study aims to explore the factors affecting doctors' intention to offer consulting services in eHealth and compare the factors between the free- and paid-service doctors. The theory of reasoned action and social exchange theory are integrated to develop the research model that conceptualizes the role of extrinsic motivations, intrinsic motivations, costs, and attitudes in doctors' behavioral intentions.Design/methodology/approachPartial least square structural equation modeling (PLS-SEM) was leveraged to analyze 326 valid sample data. To provide robust results, three non-parametric multigroup analysis (MGA) methods, including the PLS-MGA, confidence set, and permutation test approaches, were applied to detect the potential heterogeneity between the free- and paid-service doctors.FindingsThe results with overall samples reveal that anticipated rewards, anticipated associations, anticipated contribution, and perceived fee are all positively related to attitude, which in turn positively influences behavioral intention, and that perceived fee positively moderates the relationship between attitude and behavioral intention. Attitude's full mediation is also confirmed. However, results vary between the two groups of doctors. The three MGA approaches return relatively convergent results, indicating that the effects of anticipated associations and perceived fee on attitude are significantly larger for the paid-service doctors, while that of anticipated rewards is found to be significantly larger for the free-service doctors.Originality/valueeHealth, as a potential contactless alternative to face-to-face diagnoses, has recently attracted widespread attention, especially during the continued spread of COVID-19. Most existing studies have neglected the underlying heterogeneity between free- and paid-service doctors regarding their motivations to engage in online healthcare activities. This study advances the understanding of doctors' participation in eHealth by emphasizing their motivations derived from both online and offline service scenarios and comparing the differences between free- and paid-service doctors. Besides, horizontally comparing the results by applying diverse MGA approaches enriches empirical evidence for the selection of MGA approaches in PLS-SEM.

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Section: Discussionmentioning

confidence: 99%

“…, 2016). Besides, patients' behavioral intentions in eHealth have been verified to be different under free or paid online healthcare services (Zheng et al. , 2022).…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

“…, 2019; Le et al. , 2019; Zheng et al. , 2022) and an information technology-based perspective (Cao et al.…”

Section: Introductionmentioning

confidence: 99%

“…, 2019). Thus, different motivations and behaviors perhaps vary under different charging modes (Zheng et al. , 2022).…”

Section: Introductionmentioning

confidence: 99%

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For free or paid? A comparison of doctors' intention to offer consulting services in eHealth

Chen

Hsu

Chang

et al. 2022

IMDS

Self Cite

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Trust transfer effects and associated risks in telemedicine adoption

Kuen,

Schürmann,

Westmattelmann

et al. 2023

Electron Markets

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Telemedicine has the potential to address considerable challenges in the efficient provision of health care services. However, this will not be realized until a high acceptance rate among patients is achieved. We address the research gap that arises from the need to explore the interplay of different trust referents (physician, technology, treatment) and perceived risk dimensions (performance, privacy, time, psychological) in patients’ telemedicine adoption considering two different symptom types (physical vs. mental). We conducted a scenario-based online survey and performed t-tests, scenario-specific structural equation modeling, and multi-group analysis. T-tests and multi-group analysis do not indicate differences in perceptions and path coefficients between the symptoms. Furthermore, scenario-specific structural equation modeling reveals that for both scenarios, trust in physician is less important for trust transfer effects and intention to use than trust in technology and trust in treatment. Trust in treatment has similar effects for all risk dimensions, while only performance risk relates to use intention. Moreover, the results indicate a considerable intention-behavior gap. We advance IS research by emphasizing the relevance of considering multiple trust referents, trust transfer effects, and a multidimensional perspective on perceived risk.

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Why are physicians willing to contribute knowledge? Evidence from online health communities

Zhuo,

Wang

2024

Computers in Human Behavior

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An Investigation of Patient Decisions to Use eHealth

Cited by 12 publications

References 61 publications

For free or paid? A comparison of doctors' intention to offer consulting services in eHealth

For free or paid? A comparison of doctors' intention to offer consulting services in eHealth

Trust transfer effects and associated risks in telemedicine adoption

Why are physicians willing to contribute knowledge? Evidence from online health communities

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