在 COVID-19 大流行中模拟远程医疗消费者行为

Archana Shrivastava, Ashish Shrivastava
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The data was cleaned and finally a sample of 405 responses complete in all respects was considered for analysis. The questionnaire comprised of 34 items and following the recommendation of Hair et al. (2016), which says the minimum sample size in structural equation modeling should be ten times the number of indicator variables, a sample size of 405 was deemed adequate.\n\nFindings\nThe research paper finds that performance expectancy, attitude, credibility and self-efficacy positively impact the intention of consumers to use telemedicine services. As the effort expectancy or risk perception toward telemedicine increases the intent and actual usage of telemedicine decreases. The intention to use telemedicine emerged as a strong predictor of the actual usage of telemedicine. Intent to use telemedicine was explained 81.4% by its predictors of performance expectancy, effort expectancy, attitude, risk, credibility and self-efficacy, and actual usage was explained 79.9% by its predictors. 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引用次数: 0

摘要

本研究旨在调查 COVID-19 大流行期间印度消费者对远程医疗服务的行为。大流行期间,由于封锁限制和对实体诊所或医院就诊安全的担忧,远程医疗已成为寻求健康问题解决方案的有效替代方式。基于理论和对远程医疗用户的重点访谈,研究人员提出了一个模型,以了解印度远程医疗的意向和实际使用情况。 设计/方法/途径 这项横断面研究采用了七点李克特量表设计的调查问卷,并向受访者发放,目的是确定远程医疗服务的意向和实际使用情况的决定因素。简单随机抽样用于收集原始数据。对数据进行了清理,最后考虑对 405 份各方面都完整的答复样本进行分析。问卷由 34 个项目组成,根据 Hair 等人(2016 年)的建议,即结构方程模型中的最小样本量应为指标变量数量的 10 倍,405 个样本量被认为是足够的。研究结果本文发现,绩效预期、态度、可信度和自我效能对消费者使用远程医疗服务的意向有积极影响。随着对远程医疗的努力预期或风险感知的增加,使用远程医疗的意向和实际使用率都会下降。使用远程医疗的意向是实际使用远程医疗的有力预测因素。绩效预期、努力预期、态度、风险、可信度和自我效能等预测因子对远程医疗使用意向的解释率为 81.4%,而预测因子对实际使用意向的解释率为 79.9%。这项研究还报告说,远程医疗在慢性病患者和偶发性患者中都很受欢迎,但偏向于偶发性患者。远程医疗的优势之一是全天候服务,该研究发现,上午 8 点到中午 12 点是寻求远程医疗服务的首选时间段。考虑到远程医疗的前景,必须对这一领域进行研究并充分发挥其潜力。研究发现,即使是日常的疾病,患者也在使用远程医疗。这表明远程医疗越来越受欢迎,因此也为远程医疗公司提供了利用远程医疗的机会。在印度,制药公司不能为药品做商业广告,药品只能通过注册医生的处方销售。因此,药品销售完全依赖于执业医师。远程医疗公司提供上门送药服务,并附带医疗咨询,从而使其业务模式向前整合。利用远程医疗,患者可以控制所提供服务的时间,从而大大缩短了就诊和后续治疗的等待时间。患者可以以较低的成本获得来自全球各地的最佳医疗建议。医疗从业人员也能从中受益,因为他们可以治疗各种病例,在医疗界进行合作,并在致命的传染病情况下安全地提供咨询。远程医疗以其独特的优势有望在未来实现指数式增长,是为地理位置遥远的消费者提供医疗保健解决方案的一个引人注目的医疗保健领域。
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Modeling telemedicine consumer behavior amid COVID-19 pandemic
Purpose This study aims to investigate the consumer behavior toward telemedicine services in India during the COVID-19 pandemic onset. With lockdown restrictions and safety concerns in visiting brick-and-mortar clinics or hospitals during the pandemic, Telemedicine had emerged as a potent alternative for seeking redressal to health issues. Based on theory and focus interviews with the telemedicine users, the researchers proposed a model to understand the intent and actual usage of telemedicine in India. Design/methodology/approach The cross-sectional study undertaken used a questionnaire designed on a seven-point Likert scale and administered to respondents with the objective of identifying the determinants of intent and actual usage of telemedicine services. Simple random sampling was used to collect primary data. The data was cleaned and finally a sample of 405 responses complete in all respects was considered for analysis. The questionnaire comprised of 34 items and following the recommendation of Hair et al. (2016), which says the minimum sample size in structural equation modeling should be ten times the number of indicator variables, a sample size of 405 was deemed adequate. Findings The research paper finds that performance expectancy, attitude, credibility and self-efficacy positively impact the intention of consumers to use telemedicine services. As the effort expectancy or risk perception toward telemedicine increases the intent and actual usage of telemedicine decreases. The intention to use telemedicine emerged as a strong predictor of the actual usage of telemedicine. Intent to use telemedicine was explained 81.4% by its predictors of performance expectancy, effort expectancy, attitude, risk, credibility and self-efficacy, and actual usage was explained 79.9% by its predictors. This study also reports that telemedicine was found to be popular among chronic as well as episodic patients though the preference was skewed in favor of the episodic patients. One of the advantages of telemedicine is its availability round the clock, and the study found that 8 a. m. to 12 noon time slot as the most preferred slot for seeking telemedicine services. Practical implications Chang (2004) opined that telemedicine can fulfill the needs of all stakeholders: citizens, health-care consumers, medical doctors and health-care professionals, policymakers, and so on. Considering the promise telemedicine holds, this realm must be studied and leveraged to the full potential. The study found that patients were using telemedicine even for their day-to-day aliments. This indicates a growing popularity of telemedicine and as such an opportunity for telemedicine companies to leverage it. In India, pharmaceutical companies cannot give commercial advertisements for medicines, and the same can only be sold through a registered medical practitioner’s prescription. As such there is total dependency on the medical practitioner for the sale of medicines. Telemedicine companies offer services of home delivering medicines clubbed with medical consultation thus giving them forward integration in their business models. Using telemedicine the patients had control over the timings of the services offered, and as such the waiting time to get a consultation and subsequent treatment was reduced considerably. Best medical advice from across the globe is available to the patient at less cost. Medical practitioners also stand to benefit as they can treat a variety of cases, collaborate among the medical fraternity and give consultation safely in case of fatal contagious diseases. Originality/value This study points to a definite growing popularity of telemedicine services not only in episodic patients but also chronic patients. Telemedicine with its unique advantages holds the promise to grow exponentially in the future and is a compelling health-care segment to focus on for delivering health-care solution to the geographically distant consumers.
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来源期刊
CiteScore
3.10
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8.30%
发文量
21
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