An investigation of the consumer’s trusting mechanism in emerging healthcare technology (original) (raw)
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Empirically understanding trust in medical technology
International Journal of Industrial Ergonomics, 2009
Researchers across disciplines have developed measures of interpersonal trust, system trust, and trust in technology and sought to determine if measures of trust in technology should use the same trust factors as interpersonal trust measures. Studies have found evidence to support the notion that trust and distrust are considered opposites, negating the need for two separate measures to be developed and that participants rate concepts of generalized trust, interpersonal trust, system trust, and trust in technology similarly. It is not apparent if trust in medical technology is the same as trust in general technology; if the two constructs are different, existing trust in technology models may not be useful in discussions about medical technology. The studies involved in the development of a framework of trust in medical technology provide evidence to determine that trust in medical technology is empirically different from trust in technology. The methods described in the studies are based on research methods used to empirically define the constructs trust and comfort and were chosen to extend previous trust in technology models and to offer comparison and validation of findings and methods used in previous studies. Relevance to industry: Understanding how users construct trust in medical technology provides insight to how medical technologies may be used, misused, disused or abused [Parasuraman, R., Riley, V., 1997. Humans and automation: use, misuse, disuse, abuse. Human Factors 39 (2), 230-253] by patients and health care providers and health system issues such as error, malpractice, adoption and satisfaction. The factors of trust in medical technology generated in these studies may be used for the development of trust in medical technology measurement tools. As will be shown, medical technology generalizes in many ways to other technology so the methods and results presented here have broader implications.
Empowering Healthcare through Precision Medicine: Unveiling the Nexus of Social Factors and Trust
Healthcare, 2023
This study investigated the impact of social factors on the acceptance of precision medicine (PM) using a quantitative survey grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. The findings revealed that social influence has a significantly positive effect on PM acceptance, while the influence of social media is found to be insignificant. Performance expectancy emerged as the most influential factor, demonstrating a significant relationship with PM acceptance. Trust plays a crucial moderating role, mitigating the impact of social factors on PM acceptance. While exploring the mediating effects of trust, we identified a significant mediation effect for social influence and performance expectancy on PM acceptance. However, the mediation effect of social media influence is insignificant. These findings highlight the importance of trust in shaping decisions regarding PM acceptance. These findings have significant implications for healthcare practitioners and policymakers aiming to promote the adoption of precision medicine in clinical practice.
Therapeutic innovation & regulatory science, 2017
New drug and medical device introduction in Japan usually lags behind that in the West. Many reports indicate that in Japan, the associated risks are considered greater than the benefits recognized in other countries. This study aimed to compare the relationship between risk-benefit perception and acceptance of medical technologies in 3 leading markets. A tripartite cross-sectional survey of the general public was used. In total, 3345 adults in the United Kingdom, the United States, and Japan participated, and sexes and age groups were equally represented. Questions about the perception of risk, benefit, and acceptance of medical and other scientific technologies, and trust of medical product providers or regulatory authorities were included. Five-step Likert coding for risk/benefit/acceptance of 4 medical items (x-rays, antibiotics, vaccines, and cardiac pacemakers) and 6 general items (such as automobiles and airplanes) were collected. Relationships between benefit perception and ...
Validation of a trust in medical technology instrument
Applied Ergonomics, 2010
A patient's trusting attitude towards technology used in their medical care may be a predictor of acceptance or rejection of the technology and, by extension, the physician. The aim of this study was to rigorously determine the validity of an instrument for measuring patients' trust in medical technology. Instrument validity was established based on a framework, which included test and data evidence for validity assessment. The framework for validity assessment evaluates the instrument on content, substantive, structural, generalizability, external and consequential aspects of validity. The results of the current study show that the instrument is reliable and valid for assessing a patient's trust in obstetric medical technology.
A study on the role of trust factor in adopting personalised medicine
Behaviour & Information Technology, 2019
Despite all the potential that Personalised Medicine (PM) has in reducing healthcare costs and treatment errors, as well as in bringing about significant improvement in the mode of healthcare, the adoption rate of Personalised Medicine is not yet up to the mark. Some research has been done in the area of Personalised Medicine and several new drugs have been already discovered. However, adequate research is yet to be performed to sort out various hurdles that are hindering implementation of this novel medicare system on a larger scale. One of the hurdles is the so-called trust factor. In the present paper, it has been our endeavour to investigate whether the trust issues have a moderating effect on the success of adoption of personalised medicine. A survey-based post facto methodology has been adopted for this purpose. Responses have been collected from a number of people, who are medical practitioners/medical researchers/pharmacists/regulatory board members/patients. The dataset obtained thereby has been analysed by using advanced statistical techniques and modern statistical software packages. The study indicates that the trust issues have a significant moderating effect on the successful adoption of personalised medicine.
International Journal of Human–Computer Interaction, 2020
An online clinic appointment system (OCAS) is an example of health information technology (HIT) innovation in the healthcare industry. An OCAS can help healthcare organizations to improve the efficiency of information exchange for patients and transform a clinic-centered practice into patientcentered practice. This research uses an enhanced trust model to investigate the trust formation mechanism in the HIT context using OCAS as a proxy. We collected survey data from young adults to study the patients' perspectives and assess the proposed research model. The results support that five trusting base constructs have a statistically significant influence on the development of trusting beliefs in the use of OCAS, including situational normality, structural assurance, cognitive trusting base, perceived ease of use, and self-efficacy. We discuss theoretical contributions to trust formation in HIT and practical insights for healthcare organizations to utilize in developing and implementing patient focused HIT.
Toward Understanding the Technology Trust Calculus in Healthcare: A Generation Z and Millennial View
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
Generation Z and Millennial comprise 50% of the American population and are considered the savviest users of Information Technology (IT). They are also critical beneficiaries of the transformation of healthcare processes and services enabled by IT. Increasingly, the capabilities to leverage digital healthcare depends on the richness of collected data. Consequently, it is imperative to understand the contextual factors that influence Millennial and Gen Z trust in healthcare IT to disclose personal health information. To address this question, we draw on social cognitive theory, social exchange theory, and privacy calculus framework to propose a healthcare technology trust calculus model. We validated it using a survey study collecting responses from 736 individuals. Findings indicate that although the concern of disclosing personal health information negatively influences trust in healthcare IT, organizational trust, perceived benefits, and risks of health information disclosure have a more substantial effect on it.
Trust in a specific technology: An Investigation of its Components and Measures
ACM Transactions on Management Information Systems, 2011
Trust plays an important role in many Information Systems (IS)-enabled situations. Most IS research employs trust as a measure of interpersonal or person-to-firm relations, such as trust in a Web vendor or a virtual team member. Although trust in other people is important, this article suggests that trust in the Information Technology (IT) itself also plays a role in shaping IT-related beliefs and behavior. To advance trust and technology research, this article presents a set of trust in technology construct definitions and measures. We also empirically examine these construct measures using tests of convergent, discriminant, and nomological validity. This study contributes to the literature by providing: (a) a framework that differentiates trust in technology from trust in people, (b) a theory-based set of definitions necessary for investigating different kinds of trust in technology, and (c) validated trust in technology measures useful to research and practice.