Why and When do Patients Use e-Consultation Services? The Trust and Resource Supplementary Perspectives

Jia, Li; Ming-hui, Liu; Liu, Xuan; Ma, Liangdong

doi:10.1089/tmj.2016.0268

Cited by 27 publications

(16 citation statements)

References 29 publications

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“…To assess the reliability of the constructs, we verified the composite reliability (CR), average variance extracted (AVE) and Cronbach’s α (Chin, 1998; Fornell and Larcker, 1981; Wetzels et al, 2009). These measures have been widely used to assess the construct reliability for a survey research (Guo et al, 2013; Li et al, 2018). As shown in Table 2, the CR exceeds 0.86, which is well above the suggested cut-off value of 0.70; AVE is equal to or greater than 0.711, which exceeds the accepted threshold of 0.50 and Cronbach’s α is above the suggested cut-off value of 0.7, indicating good construct reliability (Chin, 1998; Fornell and Larcker, 1981; Wetzels et al, 2009).…”

Section: Resultsmentioning

confidence: 99%

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How do users adopt health information from social media? The narrative paradigm perspective

Tang

Liu

et al. 2018

HIM J

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Introduction: A recent trend in health information seeking and sharing is the use of social media. Although there are several benefits to the use of social media for health communication, the quality of health information exchanged on social media is troubling due to its informal, unregulated mechanisms for information collection, sharing and promotion. Therefore, it is important to understand how users adopt health information from social media. Method: Considering the user-generated and storytelling nature of social media messages, this research employed the narrative paradigm perspective to explain the social media health information adoption phenomenon. Specifically, narrative coherence (NC) and narrative fidelity (NF) were hypothesised to have positive effects on the intention to adopt (IA). Additionally, socio-economic status (SES) was viewed as a proxy variable to cognitive capability and was hypothesised to moderate the effects of NC and NF. A scenario-based survey was conducted to test the proposed research model. Results: We obtained a total of 257 valid questionnaires. The results indicated that NF ( p < 0.001) had a positive effect on the IA social media health information. The NC ( p < 0.01) had no impact on the low SES users but a positive impact on the high SES users. Further, the effect of NF ( p < 0.01) on the IA was higher for high SES users than low SES users. Conclusions: NC and NF are two major driving forces in social media health information adoption, and the effect of both narrative paradigm variables depends on the SES users. Implications Results of this study show how the narrative paradigm, with a focus on the storytelling method of communication rather than logical scientific argument, can not only explain the uptake of health messages from social media, but also provide guidance as to how to create health messages on social media that more effectively target end users.

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Section: Resultsmentioning

confidence: 99%

“…To examine the impact of NC, NF and SES, we compared the partial least squares (PLS) regression results of four models (as shown in Table 4). Similar to other survey studies using PLS regression, the four models covered control variables (model 1), main effects (model 2) and interaction effects (models 3 and 4) (Li et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

How do users adopt health information from social media? The narrative paradigm perspective

Tang

Liu

et al. 2018

HIM J

Self Cite

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“…Those studies incorporate a research model that can be applied to the general information systems context (i.e. the reputation system in e-commerce or the adoption of a new information technology (Zhang et al, 2017;Li, Liu, Liu and Ma, 2019)) and for this reason, they make little theoretical contribution to the health care information systems research. Second, although environmental uncertainty is investigated by some management-related (i.e.…”

Section: Environmental Uncertainty In Signaling Theorymentioning

confidence: 99%

Disease risk and its moderating effect on the e-consultation market offline and online signals

Tang

Yen

et al. 2019

ITP

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Purpose The purpose of this paper is to investigate the moderating effect of disease risk in terms of the major signals (i.e. status, reputation and self-representation) on the e-consultation platforms. Design/methodology/approach In this study, the proposed research hypotheses are tested using the transaction data collected from xywy.com (in Need of Therapy). In fact, xywy.com is one the leading e-consultation service websites in China that provides a platform for the interactions between the physicians and patients (Yu et al., 2016; Peng et al., 2015). Generally speaking, it has all the needed design elements and in other words, a standard e-consultation website should have such items/components as physician homepage, physician review, free consultation, paid consultation and recommendation systems. Findings The obtained results reveal that all attributes including status, reputation and self-representation have a positive impact on physician’s online order volume. Moreover, there is a positive moderating effect of disease risk onto the online reputation, indicating a higher effect exists for the diseases with high risk. However, the effect of offline status and online self-representation is not moderated by the disease risk, indicating market signals (online reputation) may have a stronger predictive power than seller signals (offline status and online self- representation), and therefore market signals are more effective when/if the disease risk is high. Originality/value E-consultation has gradually become a significant trend to provide the healthcare services, in the emerging economy such as China because of shortage of medical resources but having an adequate access in internet usage. The impacts of signals on the health care market have been validated by previous studies. However, the research focusing on the moderating effect of signaling environment in the health care industry is still lacking. As a result, the value of this research helps to bridge the aforementioned research gap.

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“…Prior to the current public health crisis, teleconsultation's general rate of adoption remained low [11][12][13]. The current situation has caused a profound spike in demand for digitally mediated consultation, and policy makers are breaking down several barriers to foster widespread adoption [14].…”

Section: Introductionmentioning

confidence: 99%

“…With the increased demand for teleconsultation observed over the past months, it is an open question whether this momentum will lead to continued adoption in the long term, or whether patients are likely to abandon teleconsultation platforms once the crisis has passed. Previous research has investigated the initial adoption and use of teleconsultation (eg, [12,13,16,17]) but fails to provide explanations of patients' continuance behavior of teleconsultation (ie, the "long-term or sustained use of an IT [information technology] by individual users over a period of time" [18]). Our lack of understanding of the postadoption behaviors of teleconsultation users is troubling since consumers often abandon the use of digital health apps and smart devices shortly after they first use them [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Investigating Patients’ Intention to Continue Using Teleconsultation to Anticipate Postcrisis Momentum: Survey Study (Preprint)

Ouimet¹,

Wagner²,

Raymond³

et al. 2020

Preprint

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BACKGROUND

The COVID-19 crisis has led to a radical transformation of care delivery. To avoid contamination and maintain the required care for patients, teleconsultation is more widely used than ever before. Beyond contributing to managing the crisis, this practice is also considered a significant opportunity to address persistent health system challenges, including accessibility, continuity, and cost of care, while maintaining quality. Given the expected benefits of teleconsultation, this article focuses on teleconsultation continuance in the aftermath of the pandemic. In an effort to build on the digital momentum gained through the crisis, understanding what drives patients to keep on consulting physicians online supports the improvement of the overall quality of care over the long term.

OBJECTIVE

This study aimed at identifying the determinants of patients' intention to continue their use of a teleconsultation platform based on a contextualized research model.

METHODS

Two data collections were conducted in November 2018 and May 2019 with Canadian patients who have access to the Dialogue teleconsultation application. Measures included patients' intention to continue their use, teleconsultation usefulness, teleconsultation quality, patients' trust towards the digital platform, its provider and healthcare professionals, and confirmation of patients' expectations towards teleconsultation. Since survey responses collected during the crisis are unlikely to be representative for post-crisis continuance, we test our research model with a dataset collected before the COVID-19 pandemic. Structural equation modeling (SEM), employing the PLS component-based technique, was used to analyze the data.

RESULTS

We analyzed a sample of 178 participants, who had prior experience with Dialogue teleconsultation services. Our findings reveal that the main determinants of continuance intention are usefulness, quality, and confirmation of expectations. Confirmation of expectations has the greatest influence on continuance intention (total effects=0.722; P<.001), followed by usefulness (total effects=0.587; P<.001) and quality (total effects=0.511; P<.001). Usefulness (ß=0.587; P<.001) and quality (ß=0.339; P=.013) have direct effects on the dependent variable. The confirmation of expectations has direct effects both on usefulness (ß=0.571; P<.001) and quality (ß=0.751; P<.001) in addition to having an indirect effect on usefulness (indirect effects=0.282; P<.001). Last, quality directly influences usefulness (ß=0.340; P=.002) and trust (ß=0.875; P<.001). Trust does not play a role in the context under study.

CONCLUSIONS

As usefulness, the main predictor, largely depends on initial expectations confirmation, patients should be provided with proper information about the possibilities, limitations, and potential benefits of teleconsultation platforms and services. As service quality is the most important dimension of the quality of a teleconsultation, the speed and scope of services and the commitment of providers are appealing avenues for sustained teleconsultation use by patients.

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Why and When do Patients Use e-Consultation Services? The Trust and Resource Supplementary Perspectives

Cited by 27 publications

References 29 publications

How do users adopt health information from social media? The narrative paradigm perspective

How do users adopt health information from social media? The narrative paradigm perspective

Disease risk and its moderating effect on the e-consultation market offline and online signals

Investigating Patients’ Intention to Continue Using Teleconsultation to Anticipate Postcrisis Momentum: Survey Study (Preprint)

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