Validation of A Trust In Medical Technology Instrument
By Enid N. H. Montague. 2010
60 citations recorded by the source corpus.
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.
Subfields: Safety, Risk, Reliability and Quality, Social Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Social Psychology
- Robert R. Hoffman
- Shane T. Mueller
- Gary Klein
- Jordan Litman
- Emily M. Grossnickle
- Patrick Mussel
- Altay Eren
- H. Coşkun
Citations in the corpus
- Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, neutral): “…Lee and See, 2004; Llinas, Bisantz, Drury, Seong, and Jian, 1998; Lyons et al., 2017; Merritt, 2011; Merritt, Heimbaugh, LaChapell, and Lee, 2013; Montague, 2010; Moray and Inigaki, 1999; Muir, 1994; Muir and Moray, 1996; Parasuraman, Molloy, and Singh, 1993; Parasuraman and Riley, 1997;…”
- Metrics for Explainable AI: Challenges and Prospects (2018, background): “Montague (2010) presented a study aimed at validating a scale for trust in medical diagnostic instruments, but all of the items actually refer to trust in the health care provider and positive affect about the provider.”