The Evaluation of Online Medical Consultation Use in Pediatric Out-of-hospital Cardiac Arrest.

OBJECTIVES: Our study details Online medical consultation (OLMC) usage for Pediatric out-of-hospital cardiac arrest (P-OHCA), including proportion of P-OHCA utilizing OLMC, the characteristics of cases using OLMC, the types of information exchanged during OLMC calls, and the outcomes in patients where Emergency Medical Services (EMS) contacted OLMC. METHODS: The study included P-OHCA patients treated by EMS agencies participating in the regional cardiac registry with total catchment population of approximately 1.5 million residents. We reviewed linked calls and EMS charts for P-OHCA cases treated from January 1st, 2018 through December 31st, 2022. RESULTS: In total, 112 cases from January 2018 to December 2022 were included in the final analysis. Twenty-two out of 112 utilized OLMC with a mean time from 9-1-1 call to OLMC of 28.8 minutes. The no OLMC group had a significantly higher transport rate than OLMC group as well as higher percentages of ROSC at any time and ROSC upon arrival at the ED. Both survival to admission and survival to discharge were more prevalent in the no OLMC group, while there were no instances of survival to discharge in the OLMC group. During the calls, the discussion of crucial prognostic factors, including witness status, initial rhythm, ETCO2, and arrest duration, appears inconsistent. CONCLUSIONS: Pediatric-OHCA cases with OLMC tend to contact OLMC late in the resuscitation, have poor prognostic factors, and have poor survival outcomes. The information exchanged during OLMC calls was highly variable, representing a clear opportunity for improvement. Future studies should explore the potential effect of early OLMC contact on patient outcomes and if a standardized template for OLMC data exchange improves consistency in recommendations for P-OHCA.

A Systematic Review of Online Medical Consultation Research.

Online medical consultation is a form of medical service that facilitates interactions between patients and doctors online, offering significant utility and value. This review aims to retrieve, screen, and analyze articles related to online medical consultations, formulating a theoretical framework and proposing future research directions. According to PRISMA guidelines, a systematic search was conducted in Web of Science, EBSCO, ScienceDirect, PubMed, and Scopus, retrieving a total of 4072 English records on 16 December 2023. After rigorous screening, 75 articles were included in this review. Among these, 8 articles focused on patients utilizing online medical consultation platforms, 5 on doctors participating in online medical platforms, 18 on patients' choice of doctors, 12 on doctors providing services, 7 on online reviews of patients, 14 on service quality for patients, 8 on rewards to doctors, and 11 on the spillover effect between online and offline services. These themes comprise the theoretical framework of the starting point, process, and outcomes of the online medical consultation system, providing a comprehensive understanding of the field and a foundation for future research.

The predation relationship between online medical search and online medical consultation-empirical research based on Baidu platform data.

Introduction: This study investigates the mutual influence between online medical search and online medical consultation. It focuses on understanding the health information needs that drive these health information-seeking behaviors by utilizing insights from behavioral big data. Methods: We used actual behavioral data from Chinese internet users on Baidu platform's "Epidemic Index" from November 26, 2022, to January 25, 2023. Data modeling was conducted to ensure the reliability of the model. Drawing on the logistic model, we constructed a foundational model to quantify the evolutionary patterns of online medical search and online medical consultation. An impact function was defined to measure their mutual influence. Additionally, a pattern detection experiment was conducted to determine the structure of the impact function with maximum commonality through data fitting. Results: The analysis allowed us to build a mathematical model that quantifies the nonlinear correlation between online medical search and online medical consultation. Numerical analysis revealed a predation mechanism between online medical consultation and online medical search, highlighting the role of health information needs in this dynamic. Discussion: This study offers a novel practical approach to better meet the public's health information needs by understanding the interplay between online medical search and consultation. Additionally, the modeling method used here is broadly applicable, providing a framework for quantifying nonlinear correlations among different behaviors when appropriate data is available.

Online medical consultation in China: Demand-side analysis of obese patients' preferences and willingness-to-pay for online obesity consultations.

Objective: With obesity a major health concern and call on healthcare resources in China, we explored the preferences and willingness to pay (WTP) for obesity OMC, including the influencing factors behind WTP and preferences. Method: We recruited 400 obese participants to undertake a discrete choice experiment (DCE) and the contingent value method (CVM) survey. We used CVM to measure obese participants' WTP for one-click services (OCS) and used DCE to estimate obesity participants' preferences and WTP for OMC with different attributes. Results: Obese participants were willing to pay more than RMB80 on average for OCS, and more than 50% of participants had a WTP over RMB50 and 5% had a WTP over RMB300, reflecting the strong willingness of Chinese obese patients to pay for OMC. Educational background, income, ethnicity, previous OMC experience and accessibility to offline hospitals with different levels impacted WTP. The relative importance score of attributes in descending order was cost, doctors' hospital level, doctors' level, online waiting time, consultation time and consultation form. Obese patients preferred lower cost, doctors from higher-level hospitals, doctors with higher expertise levels, shorter waiting time and consultation duration, and telephone consultation were preferred. 30-min waiting time, 15-min consultation duration and telephone consultation were the most economically efficient set we found. Conclusion: To maximize health resources, provincial tertiary and municipal hospitals face different paths to developing obesity OMC platforms. We encouraged young doctors to use OMC. OMC regulators should implement consumer protection policies to optimize OMC pricing and address potential 'unfair' pricing.

Restricted health service utilization and subsequent positive self-care behavior during the early COVID-19 pandemic in China.

Background: The reallocation of health resources, epidemic prevention and control measures during the COVID-19 pandemic triggered widespread restricted health service utilization, some residents and patients tried positive self-care behavior to maintain their health, yet the efficacy of this intervention remains unclear. Object: Based on the reasoned action approach (RAA) theory, this study aimed to investigate the correlation between self-care behavior and restricted health service utilization among adults in China, trying to discover the vulnerable groups and external and intrinsic factors that affect self-care behavior among Chinese adults. Methods: Data on demographics, socioeconomic, health status, and self-care behavior were collected in "The Early China COVID-19 Survey," a cross-sectional anonymous online survey of the general population in China. Self-care behavior was measured by four indicators: weight control (WC), physical activity (PA), prevention behavior (PB), and online medical consultation (OMC). The multiple linear models and binary logistic regression were used to examine whether restricted health service utilization (RHSU) is associated with self-care behaviors; also, adjusted multivariate logistic regression was used to analyze subgroup heterogeneity. Results: In total, 8,428 adult participants completed the survey, the mean OMC score was 1.51 (SD 1.34), the mean PB score was 18.17 (SD 3.44), and the proportion of participants who engaged in WC and PA was 42.30 and 62.57%, respectively. According to the multiple regression model, the RHSU was significantly positively correlated with all four indicators of self-care (WC: OR = 1.34, p < 0.001, PA: OR = 1.34, p < 0.05, MC: OR = 1.30, p < 0.001, PB: coef = 0.16, p < 0.05). We also observed some significant differences in the intensity of this relationship by subgroup analysis, precisely, OMC (high vs. moderate vs. low infection-risk level: OR = 1.48; 1.41; 1.19, p < 0.1), PA (male vs. female: OR = 1.27;1.06; p < 0.05, high vs. Moderate and low infection-risk level: OR = 1.51; 1.17; 1.02, p < 0.05), PB (Chronic disease groups vs. no: coef = 0.46; 0.1, p < 0.05). Conclusion: Restricted health service utilization predicts more positive self-care behavior, and the intensity of partial correlation was significantly different in the subgroups of sex, actual infection risk level of the living area, and chronic diseases. These findings highlight the urgent demand for self-care behavior among Chinese adults during the pandemic and provide new insights for developing self-care and reducing the burden on the healthcare system in the long term.

Superior medical resources or geographic proximity? The joint effects of regional medical resource disparity, geographic distance, and cultural differences on online medical consultation.

Online medical consultation platforms enable patients to seek health advice from physicians across geographic regions. In this study, we analyze patterns of online consultation between patients and physicians. We examine the joint effects of regional medical resource disparity, geographic distance, and cultural differences between patients and physicians on patients' decisions about which physicians they consult online. Using a unique dataset of city-to-city tuples based on 813,684 online consultation records and combining it with region-level data from multiple external sources, we find that while regional medical resource disparity drives patients from medically disadvantaged regions to seek online consultations with physicians from medically advantaged regions, geographic distance and cultural differences tend to constrain these consultations. We also find that cultural differences can amplify the impact of regional medical resource disparity, whereas geographic distance may lessen this effect. Further, we discover that the constraining effect of geographic distance is partly due to the online-to-offline nature of online medical consultations. Moreover, additional analyses suggest that physicians' online reputation and information about physicians' participation on the platform can help alleviate the negative effects of geographic distance and cultural differences. These findings hold significant implications for the allocation of medical resources and the formulation of healthcare policies.

Online Medical Consultation Service-Oriented Recommendations: Systematic Review.

BACKGROUND: Online health communities have given rise to a new e-service known as online medical consultations (OMCs), enabling remote interactions between physicians and patients. To address challenges, such as patient information overload and uneven distribution of physician visits, online health communities should develop OMC-oriented recommenders. OBJECTIVE: We aimed to comprehensively investigate what paradigms lead to the success of OMC-oriented recommendations. METHODS: A literature search was conducted through e-databases, including PubMed, ACM Digital Library, Springer, and ScienceDirect, from January 2011 to December 2023. This review included all papers directly and indirectly related to the topic of health care-related recommendations for online services. RESULTS: The search identified 611 articles, of which 26 (4.3%) met the inclusion criteria. Despite the growing academic interest in OMC recommendations, there remains a lack of consensus among researchers on the definition of e-service-oriented recommenders. The discussion highlighted 3 key factors influencing recommender success: features, algorithms, and metrics. It advocated for moving beyond traditional e-commerce-oriented recommenders to establish an innovative theoretical framework for e-service-oriented recommenders and addresses critical technical issues regarding 2-sided personalized recommendations. CONCLUSIONS: This review underscores the essence of e-services, particularly in knowledge- and labor-intensive domains such as OMCs, where patients seek interpretable recommendations due to their lack of domain knowledge and physicians must balance their energy levels to avoid overworking. Our study's findings shed light on the importance of customizing e-service-oriented personalized recommendations to meet the distinct expectations of 2-sided users considering their cognitive abilities, decision-making perspectives, and preferences. To achieve this, a paradigm shift is essential to develop unique attributes and explore distinct content tailored for both parties involved.

The Effect of "Offline-to-Online" Trust Transfer on the Utilization of Online Medical Consultation Among Chinese Rural Residents: Experimental Study.

BACKGROUND: Online medical consultation can serve as a valuable means for rural residents to access high-quality health care resources, thereby mitigating the geographic and economic disadvantages prevalent in rural areas. Nevertheless, due to lower cognitive abilities, rural residents often face challenges in trusting and making effective use of online medical consultations. More likely, adopting a bounded rational decision-making model that facilitates the "offline-to-online" trust transfer could prove to be a potentially effective approach. This strategy aims to encourage less technologically experienced rural residents to trust and make use of online medical consultations. OBJECTIVE: This study aims to characterize the status of "offline-to-online" trust transfer among rural residents in the context of internet health care, and analyze its direct impact on facilitating the utilization of online medical consultation. Additionally, we investigate the family spillover effect of "offline-to-online" trust transfer in promoting the use of online medical consultation among rural family members, considering its distributional effect across various education levels of the population. METHODS: A multistage stratified random sampling method was used to survey participants in rural areas of China from July to September 2021, encompassing a total of 2597 rural residents from 960 rural households. Propensity score values were estimated using logit regression, and the propensity score matching method, using the K-nearest neighbor matching, radius matching, and kernel matching methods, was applied to create matched treatment and control samples of rural residents based on their experience of "offline-to-online" trust transfer. Subsequently, we calculated average treatment effect scores to compare the differences in utilizing online medical consultation between the treatment and control rural samples. RESULTS: As many as 551/960 (57.4%) rural residents experienced an "offline-to-online" trust transfer, with a higher likelihood observed in the older population with lower levels of education and higher satisfaction with local health care services. Furthermore, rural residents who underwent "offline-to-online" trust transfer were 37%-40% more likely to utilize online medical consultation compared with those who did not experience this trust transfer. Additionally, family members of householders who underwent "offline-to-online" trust transfer were 25%-28% more likely to utilize online medical consultation than those whose householders did not experience this trust transfer. Notably, when compared with populations with high-level education, the "offline-to-online" trust transfer had more significant direct and spillover effects on the utilization of online medical consultation services among rural residents with low-level education. CONCLUSIONS: To enhance the "offline-to-online" trust transfer among rural residents and its facilitation in their utilization of online medical consultation, as well as other mobile health (mHealth) and ubiquitous health (uHealth) services, we recommend that online health care providers adopt a "patient-oriented" service model. This approach aims to elevate rural residents' satisfaction with local health care services and harness the trust-building functions inherent in physician-patient relationships and among family members.

Online medical consultation in China: Evidence from obesity doctors.

Objective: Online medical consultation (OMC) is increasingly used in China, but there have been few in-depth studies of consultation arrangements and fee structures of online doctors in China. This research assessed the consultation arrangements and fee structure of OMC in China by undertaking a case study of obesity doctors from four representative OMC platforms. Methods: Detailed information, including fees, waiting time and doctor information, was collected from four obesity OMC platforms and analyzed using descriptive statistical analysis. Results: The obesity OMC platforms in China shared similarities in the use of big data and artificial intelligence (AI) but differed across service access, specific consultation arrangements and fees. Big data search and AI response technologies were used by most platforms to match users with doctors and reduce doctors' pressure. The descriptive statistical analysis showed that the higher the rank of the online doctor, the higher the online fee and the longer the wait time. Through a comparison with offline hospitals, we found online doctors' fees exceeded offline hospital doctors' fees by up to 90%. Conclusions: OMC platforms can gain competitive advantages over offline medical institutions through the following measures: make fuller use of big data and AI technologies to provide users with longer duration, lower cost and more efficient consultation services; provide better user experience than offline medical institutions; use big data and fee advantages to screen doctors to match users' consultation needs instead of screening by the rank of doctors only; and cooperate with commercial insurance providers to provide innovative health care packages.

The Roles of Trust and Its Antecedent Variables in Healthcare Consumers' Acceptance of Online Medical Consultation during the COVID-19 Pandemic in China.

Online medical consultation (OMC) is generating considerable interest among researchers and practitioners due to the mandatory quarantine measures implemented during the COVID-19 pandemic in China. However, the acceptance rate of OMC has declined over time. This paper aims to empirically investigate OMC acceptance using a proposed research model by integrating the technology acceptance model (TAM) with trust and its antecedent variables. A quantitative self-administered cross-sectional survey was conducted to collect data from 260 healthcare consumers. A partial least squares structural equation modeling method was used to examine the data. Results revealed that healthcare consumers' behavioral intention was influenced by attitudes, while perceived usefulness and trust significantly influenced behavioral intention through attitude as a mediator. In addition, perceived risk, perceived privacy protection, network externalities, cognitive reputation, and interactivity directly influenced trust. Overall, the research model explained 50% of the variance in attitude and 71% of the variance in behavioral intention. The study's findings should provide useful insights into making effective design, development, and implementation decisions for OMC services.

Repetitions in online doctor-patient communication: Frequency, functions, and reasons.

OBJECTIVES: To attain insights into language repetition during online doctor-patient communication (DPC), understand why doctors and patients use repetition, and improve the current deficiencies in online medical platforms. METHODS: The study performed a content analysis of 72 sets of textual doctor-patient conversations on the Chinese online medical consultation platform Chunyu Doctor. RESULTS: Repetitions occurred 1412 times in the 72 sets of online DPC. Patient self-repetitions were the most prevalent (30.7 %), while patient repetitions of doctors were the least common (17.1 %). Doctors used repetitions for explanations and affirmations. Patients used repetition for emphasis, verification, and turn-taking. The repetition frequencies of doctors and patients were primarily influenced by personal factors. However, doctor-dimension factors exerted a greater impact on the frequency of patient repetitions. CONCLUSIONS: The reasons for repetitions in online DPC differ from those offline. Online DPC increases patient initiative and reduces doctor authority. Nevertheless, it could be affected by gender stereotypes generated during offline consultations. Doctors still dominated the conversations but attended sufficiently to the patient discourse. Online DPC is gradually attempting to fulfill the expectations of a new patient-centered healthcare pattern. PRACTICAL IMPLICATIONS: The findings yield suggestions for healthcare providers and the designers of online healthcare platforms.

Small talk is a big deal: A discursive analysis of online off-topic doctor-patient interaction in Traditional Chinese Medicine.

This study aims to examine the small talk of Traditional Chinese Medicine (TCM) during online medical consultation (OMC). With the textual and audio doctor-patient conversations collected from Chunyu Doctor, an asynchronous and synchronous e-health platform in mainland China, this study systematically analyzed 432 pieces of TCM consultations. Results indicate that TCM doctors actively initiate small talks in online scenarios to acquire holistic information for diagnosis and boost patients' face for rapport management, both of which further contribute to patient-centeredness in Chinese OMC. Importantly, TCM doctors attach great importance to small talk, while patients perceive it with insufficient attention. To some extent, this study contributes to existing knowledge of small talk by examining its informative and interpersonal functions under the online circumstance of TCM in Oriental scenarios.

Public preferences for online medical consultations in China: a discrete choice experiment.

Background: Online medical consultation (OMC) is significant to promote the utilization and accessibility of healthcare resources and save time on consultation. However, the usage and public acceptance rates of it are still low in China. Meanwhile, few studies have focused on consumers' demand of OMC services. This study aims to identify attributes that influence users' preference for OMC services, quantify the value of these characteristics, and compare their relative importance. Methods: A nationwide discrete choice experiment was conducted to survey Chinese residents' preference choices for six attributes of OMC services. Conditional logit model and mixed logit model were used to analyze respondents' preference. Willingness to pay and heterogeneity were estimated by the mixed logit model. Results: A total of 856 respondents completed the study, and 668 questionnaires passed the consistency test. All of 6 attributes in the study were statistically significant except for "Doctor's professional title - Associate Senior." When choosing OMC services, respondents preferred to spend as little time and money as possible on a large online medical platform to consult a high-rated physician with a senior title from a well-known Grade-A tertiary hospital. Besides, respondents valued doctor's evaluation score most and were willing to pay ¥107 to obtain the services of higher-scored doctors. Conclusion: The study measured Chinese residents' preferences for six attributes of OMC and showed the heterogeneity of attributes among subgroups. Our findings suggested that OMC services providers should reduce the customers' waiting time, improve the quality of services and enhance professional skills to meet the customers' requirements. More research on preferences for OMC needs to be conducted in China, especially for key populations such as patients with chronic diseases.

The Practice of Online Medical Care at Juntendo Hospital in Response to the Coronavirus Pandemic.

The numbers of coronavirus (COVID-19) infections have exploded in Japan since mid-March 2020, making it difficult for outpatients to visit our hospital (Juntendo Hospital in Tokyo). For this reason, the hospital expanded the use of online medical care in May 2020 to ensure uninterrupted medication treatment for outpatients who could not attend in person. Although the number of outpatient visits in person was reduced, patients were still able to consult our clinic and receive their medication through online medical care via audio-video systems. This paper discusses the background to this situation, as well as the guidelines, the medical fee system, and the advantages and disadvantages of online medical care in Japan.

Doctors' Preferences in the Selection of Patients in Online Medical Consultations: An Empirical Study with Doctor-Patient Consultation Data.

Online medical consultation (OMC) allows doctors and patients to communicate with each other in an online synchronous or asynchronous setting. Unlike face-to-face consultations in which doctors are only passively chosen by patients with appointments, doctors engaging in voluntary online consultation have the option of choosing patients they hope to treat when faced with a large number of online questions from patients. It is necessary to characterize doctors' preferences for patient selection in OMC, which can contribute to their more active participation in OMC services. We proposed to exploit a bipartite graph to describe the doctor-patient interaction and use an exponential random graph model (ERGM) to analyze the doctors' preferences for patient selection. A total of 1404 doctor-patient consultation data retrieved from an online medical platform in China were used for empirical analysis. It was found that first, mildly ill patients will be prioritized by doctors, but the doctors with more professional experience may be more likely to prefer more severely ill patients. Second, doctors appear to be more willing to provide consultation services to patients from urban areas, but the doctors with more professional experience or from higher-quality hospitals give higher priority to patients from rural and medically underserved areas. Finally, doctors generally prefer asynchronous communication methods such as picture/text consultation, while the doctors with more professional experience may be more willing to communicate with patients via synchronous communication methods, such as voice consultation or video consultation.

Patient Expectation in China: Exploring Patient Satisfaction in Online and Offline Patient-Provider Communication.

Introduction: Online patient-provider communication (OPPC) has become an alternative approach to seek medical advice and contact health professionals. However, its penetration rate remains low, and the underlying mechanisms of patient satisfaction with OPPC are underexamined. This study investigates the role of patient expectancy and the expectancy violation of patient-centered communication (PCC) in patient satisfaction in emerging OPPC scenarios by integrating the concepts of PCC and expectancy violation theory (EVT). Method: An online survey was conducted in October 2019 among Chinese respondents who experienced OPPC and offline medical services. Results: The 471 qualified participants reported high satisfaction with OPPC (mean [M] = 3.63, standard deviation [SD] = 0.81). However, patient satisfaction with OPPC was lower than that in offline medical encounters (M = 3.75, SD = 0.80), and patients suffered a higher expectancy violation of PCC in OPPC scenarios (M = 0.45, SD = 0.76) than in offline medical encounters (M = 0.27, SD = 0.69). Nevertheless, patients' satisfaction with OPPC significantly increased as the frequency of OPPC usage increased (ß = 0.209, p < 0.001). This positive relationship was partially mediated by the decrease in the expectancy violation of PCC in OPPC scenarios. Discussion: The study can contribute to increasing the adoption of OPPC and reducing the burden of offline medical resources.

Patient Activeness During Online Medical Consultation in China: Multilevel Analysis.

BACKGROUND: Online medical consultation is an important complementary approach to offline health care services. It not only increases patients' accessibility to medical care, but also encourages patients to actively participate in consultation, which can result in higher shared decision making, patient satisfaction, and treatment adherence. OBJECTIVE: This study aims to explore multilevel factors that influence patient activeness in online medical consultations. METHODS: A data set comprising 40,505 patients from 300 physicians in 10 specialties was included for multilevel analysis. Patient activeness score (PAS) was calculated based on the frequency and the proportion of patient discourses to the total frequency of doctor-patient interactions. Intraclass correlation coefficients were calculated to identify between-group variations, and the final multilevel regression model included patient- and physician-level factors. RESULTS: Patients were not equally active in online medical consultations, with PASs varying from 0 to 125.73. Patient characteristics, consultation behavioral attributes, and physician professional characteristics constitute 3 dimensions that are associated with patient activeness. Specifically, young and female patients participated more actively. Patients' waiting times online (ß=-.17; P<.001) for physician responses were negatively correlated with activeness, whereas patients' initiation of conversation (ß=.83; P<.001) and patient consultation cost (ß=.52; P<.001) in online medical consultation were positively correlated. Physicians' online consultation volumes (ß=-.10; P=.01) were negatively associated with patient activeness, whereas physician online consultation fee (ß=.03; P=.01) was positively associated. The interaction effects between patient- and physician-level factors were also identified. CONCLUSIONS: Patient activeness in online medical consultation requires more scholarly attention. Patient activeness is likely to be enhanced by reducing patients' waiting times and encouraging patients' initiation of conversation in online medical consultation. The findings have practical implications for patient-centered care and the improvement of online medical consultation services.

An internet-based multidisciplinary online medical consultation system to help cope with pediatric medical needs during the COVID-19 outbreak: a cross-sectional study.

BACKGROUND: Telemedicine is becoming an emerging innovative supplement to the traditional medical system in China. In the present study, we described the rapid implementation of the telemedicine in pediatrics during the coronavirus disease 2019 (COVID-19) outbreak and explored its value in response to the demand for pediatric medical services during the epidemic. METHODS: An Internet-based platform for multidisciplinary online medical consultation was established on February 8, 2020, by a national children's medical center in China. The medical data of the traditional hospital visits and novel online visits from the first two months (February 8 to March 31) after the establishment of the platform were collected and analyzed. The demographic features, changes in the disease spectrum and characteristics of online medical services were described. RESULTS: The total number of visits was significantly lower (by 75.3%) than that of in the same period in the previous year. The disease spectrum was different with a significant decrease of >95% in the number of patients with infectious or contagious diseases. The online visits accounted for 14.7% of all visits. Online patients came from all over the country, covering 91% of the administrative regions of China, and the largest proportion of inquiries were for infants (33.7%) (P<0.01). The response rate of experts to requests for online consultations was 100%. During the study period, 266 experts from 25 pediatric specialties completed 12,318 effective consultations, proving different degrees of online supplementation for various specialties (4.3-168.4%). Online consultations mainly addressed two types of problems: (I) accessibility of the traditional hospital visits and (II) consultations regarding an illness. Data from pediatric nephrology showed that 96% of the patients with stable chronic kidney disease successfully received follow-up medication adjustment guidance through the online platform. CONCLUSIONS: The traditional hospital medical services have been affected by the COVID-19 outbreak. The multidisciplinary online medical consultation system is a strategy to actively respond to the medical needs of children during unique periods.

Turn to the Internet First? Using Online Medical Behavioral Data to Forecast COVID-19 Epidemic Trend.

The surveillance and forecast of newly confirmed cases are important to mobilize medical resources and facilitate policymaking during a public health emergency. Digital surveillance using data available online has increasingly become a trend with the advancement of the Internet. In this study, we assessed the predictive value of multiple online medical behavioral data, including online medical consultation (OMC), online medical appointment (OMA), and online medical search (OMS) for the regional outbreak of coronavirus disease 2019 in Shenzhen, China during January 1, 2020 to March 5, 2020. Multivariate vector autoregression models were used for the prediction. The results identified a novel predictor, OMC, which can forecast the disease trend up to 2 days ahead of the official reports of confirmed cases from the local health department. OMS data had relatively weaker predictive power than OMC in our model, and OMA data failed to predict the confirmed cases. This study highlights the importance of OMC data and has implication in providing evidence-based guidelines for local authorities to evaluate risks and allocate resources during the pandemic.

Investigating Patients' Intention to Continue Using Teleconsultation to Anticipate Postcrisis Momentum: Survey Study.

BACKGROUND: The COVID-19 crisis has drastically changed care delivery with teleconsultation platforms experiencing substantial spikes in demand, helping patients and care providers avoid infections and maintain health care services. Beyond the current pandemic, teleconsultation is considered a significant opportunity to address persistent health system challenges, including accessibility, continuity, and cost of care, while ensuring quality. OBJECTIVE: This study aims at identifying the determinants of patients' intention to continue using a teleconsultation platform. It extends prior research on information technology use continuance intention and teleconsultation services. METHODS: Data was collected in November 2018 and May 2019 with Canadian patients who had access to a teleconsultation platform. Measures included patients' intention to continue their use; teleconsultation usefulness; teleconsultation quality; patients' trust toward the digital platform, its provider. and health care professionals; and confirmation of patients' expectations toward teleconsultation. We used structural equation modeling employing the partial least squares component-based technique to test our research model and hypotheses. RESULTS: We analyzed a sample of 178 participants who had used teleconsultation services. Our findings revealed that confirmation of expectations had 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=.60; P<.001) and quality (ß=.34; P=.01) had direct effects on the dependent variable. The confirmation of expectations had direct effects both on usefulness (ß=.56; P<.001) and quality (ß=.75; P<.001) in addition to having an indirect effect on usefulness (indirect effects=0.282; P<.001). Last, quality directly influenced usefulness (ß=.34; P=.002) and trust (ß=.88; P<.001). Trust does not play a role in the context under study. CONCLUSIONS: Teleconsultation is central to care going forward, and it represents a significant lever for an improved, digital delivery of health care in the future. We believe that our findings will help drive long-term teleconsultation adoption and use, including in the aftermath of the current COVID-19 crisis, so that general care improvement and greater preparedness for exceptional situations can be achieved.