Literature DB >> 20189163

Validation of a trust in medical technology instrument.

Enid Montague1.   

Abstract

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.

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Year:  2010        PMID： 20189163      PMCID： PMC2893257          DOI： 10.1016/j.apergo.2010.01.009

Source DB:  PubMed          Journal:  Appl Ergon        ISSN： 0003-6870            Impact factor:   3.661


  22 in total

Review 1.  Trust in automation: designing for appropriate reliance.

Authors:  John D Lee; Katrina A See
Journal:  Hum Factors       Date:  2004       Impact factor: 2.888

2.  Patient safety, systems design and ergonomics.

Authors:  P Buckle; P J Clarkson; R Coleman; J Ward; J Anderson
Journal:  Appl Ergon       Date:  2006-06-06       Impact factor: 3.661

3.  How acceptable are innovative health-care technologies? A survey of public beliefs and attitudes in England and Wales.

Authors:  Michael Calnan; David Montaner; Rob Horne
Journal:  Soc Sci Med       Date:  2004-11-13       Impact factor: 4.634

4.  Trust in automation. Part II. Experimental studies of trust and human intervention in a process control simulation.

Authors:  B M Muir; N Moray
Journal:  Ergonomics       Date:  1996-03       Impact factor: 2.778

5.  Trust in one's physician: the role of ethnic match, autonomy, acculturation, and religiosity among Japanese and Japanese Americans.

Authors:  Derjung M Tarn; Lisa S Meredith; Marjorie Kagawa-Singer; Shinji Matsumura; Seiji Bito; Robert K Oye; Honghu Liu; Katherine L Kahn; Shunichi Fukuhara; Neil S Wenger
Journal:  Ann Fam Med       Date:  2005 Jul-Aug       Impact factor: 5.166

6.  Are patients' ratings of their physicians related to health outcomes?

Authors:  Peter Franks; Kevin Fiscella; Cleveland G Shields; Sean C Meldrum; Paul Duberstein; Anthony F Jerant; Daniel J Tancredi; Ronald M Epstein
Journal:  Ann Fam Med       Date:  2005 May-Jun       Impact factor: 5.166

7.  Further validation and reliability testing of the Trust in Physician Scale. The Stanford Trust Study Physicians.

Authors:  D H Thom; K M Ribisl; A L Stewart; D A Luke
Journal:  Med Care       Date:  1999-05       Impact factor: 2.983

8.  Development of the Trust in Physician scale: a measure to assess interpersonal trust in patient-physician relationships.

Authors:  L A Anderson; R F Dedrick
Journal:  Psychol Rep       Date:  1990-12

9.  Patients' preferences for technical versus interpersonal quality when selecting a primary care physician.

Authors:  Constance H Fung; Marc N Elliott; Ron D Hays; Katherine L Kahn; David E Kanouse; Elizabeth A McGlynn; Mark D Spranca; Paul G Shekelle
Journal:  Health Serv Res       Date:  2005-08       Impact factor: 3.402

10.  Patients' trust in their physicians: effects of choice, continuity, and payment method.

Authors:  A C Kao; D C Green; N A Davis; J P Koplan; P D Cleary
Journal:  J Gen Intern Med       Date:  1998-10       Impact factor: 5.128
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  4 in total

1.  Understanding active and passive users: the effects of an active user using normal, hard and unreliable technologies on user assessment of trust in technology and co-user.

Authors:  Enid Montague; Jie Xu
Journal:  Appl Ergon       Date:  2011-12-20       Impact factor: 3.661

2.  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.

Authors:  Jie Xu; Kim Le; Annika Deitermann; Enid Montague
Journal:  Appl Ergon       Date:  2014-05-29       Impact factor: 3.661

3.  Trust in technology-mediated collaborative health encounters: constructing trust in passive user interactions with technologies.

Authors:  Enid Montague; Onur Asan
Journal:  Ergonomics       Date:  2012-04-16       Impact factor: 2.778

Review 4.  Psychometric Properties of Patient-Facing eHealth Evaluation Measures: Systematic Review and Analysis.

Authors:  Bonnie J Wakefield; Carolyn L Turvey; Kim M Nazi; John E Holman; Timothy P Hogan; Stephanie L Shimada; Diana R Kennedy
Journal:  J Med Internet Res       Date:  2017-10-11       Impact factor: 5.428
  4 in total

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