Validation of a trust in medical technology instrument

Montague, Enid

doi:10.1016/j.apergo.2010.01.009

Cited by 38 publications

(27 citation statements)

References 41 publications

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“…To control for potential common method bias (Podsakoff et al . 2003), participants’ identities were protected to minimize evaluation apprehension and extensive analyses were conducted to improve items in validation studies (Montague 2010). …”

Section: Methodsmentioning

confidence: 99%

“…2003), factor analyses were conducted in validation studies (Montague 2010) and no single factor emerged in validation studies. Mean patient ratings of trust for various participant subgroups defined by socio-demographic and health care access variables were evaluated for trends.…”

Section: Methodsmentioning

confidence: 99%

“…This study uses the Trust in Medical Technology (TMT) instrument (Montague 2010), a validated instrument which measures patients’ trust in technologies used in their care across three dimensions (technology, care provider and how the provider uses the technology). Using data from the TMT, the relationship between interpersonal trust and trust in the technology can be examined.…”

Section: Introductionmentioning

confidence: 99%

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Trust in technology-mediated collaborative health encounters: Constructing trust in passive user interactions with technologies

Montague

Asan

2012

Ergonomics

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The present study investigated factors that explain patient trust in health technology and the relationship between patient trust in technology and trust in their care provider. Sociotechnical systems theory states that changes in one part of the system are likely related to other parts of the system. Therefore, attitudes about technologies, like trust, are likely related to other aspects of the system. Contributing to appropriate trust at the technological, interpersonal, and system levels can potentially lead to positive health outcomes. The study described in this manuscript used data collected from 101 patients with a Trust in Medical Technology instrument. The instrument measured patients’ trust in 1) their providers, 2) the technology, and 3) how their providers used the technology. Measure 3 was positively associated with measures 1 and 2, while measures 1 and 2 were not positively or negatively associated with one another.. These results may indicate that patient assessments of the trustworthiness of care providers and technologies are based on their observations of how providers use technologies. Practitioner Summary Though patients are not active users of technologies in health care, the results of this study show that their perceptions of how providers use technology are related to their trust in both technology and the care provider. Study findings have implications for how trust is conceptualized and measured in interpersonal relationships and in technologies.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Trust in technology-mediated collaborative health encounters: Constructing trust in passive user interactions with technologies

Montague

Asan

2012

Ergonomics

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“…Trust is a fundamental factor in all relationships (Montague, 2010). In social-technical systems, there are three types of trust that are critical for optimal system outcomes: interpersonal trust, trust between two or more people (Larzelere and Huston, 1980), institutional trust, a person's trust with an organization (Castelfranchi and Falcone, 2001), and technological trust, a person's trust with a technology or device (Muir, 1987).…”

Section: Introductionmentioning

confidence: 99%

How different types of users develop trust in technology: A qualitative analysis of the antecedents of active and passive user trust in a shared technology

Kim

Deitermann

et al. 2014

Applied Ergonomics

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The aim of this study was to investigate the antecedents of trust in technology for active users and passive users working with a shared technology. According to the prominence-interpretation theory, to assess the trustworthiness of a technology, a person must first perceive and evaluate elements of the system that includes the technology. An experimental study was conducted with 54 participants who worked in two-person teams in a multi-task environment with a shared technology. Trust in technology was measured using a trust in technology questionnaire and antecedents of trust were elicited using an open-ended question. A list of antecedents of trust in technology was derived using qualitative analysis techniques. The following categories emerged from the antecedent: technology factors, user factors, and task factors. Similarities and differences between active users and passive user responses, in terms of trust in technology were discussed.

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“…According to definition, to trust in technology or automation is to believe that a tool, machine or equipment will not fail (Montague, 2010). Montague et al (2009) in their study provided evidence that trust in technology and trust in medical technology are different constructs with similar attributes.…”

Section: Introductionmentioning

confidence: 99%

The Role of Trust in Doctor-Patient Relationship: Qualitative Evaluation of Online Feedback from Polish Patients

Krot¹,

Rudawska²

2016

Economics &Amp; Sociology

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ABSTRACT. Apart from the fact that trust between doctors and patients is a source of sustainable relations, affecting the behaviour of both parties, it also has its therapeutic value. Therefore, this paper aims to construct a model of trust in the doctor-patient relationship based on qualitative research (analysis of the contents of Internet message boards). The study has revealed that trust towards doctors is a result of overlapping and interpenetration of two levels of trust: macro-and meso-. Macro-trust can be seen as a context in which all the dimensions of institutional trust are 'embedded'. Whereas meso-trust (institutional) is described in terms of three dimensions: benevolence, competence and integrity.

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Validation of a trust in medical technology instrument

Cited by 38 publications

References 41 publications

Trust in technology-mediated collaborative health encounters: Constructing trust in passive user interactions with technologies

Trust in technology-mediated collaborative health encounters: Constructing trust in passive user interactions with technologies

How different types of users develop trust in technology: A qualitative analysis of the antecedents of active and passive user trust in a shared technology

The Role of Trust in Doctor-Patient Relationship: Qualitative Evaluation of Online Feedback from Polish Patients

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