Literature DB >> 22195165

Assessing the motivation of MDs to use computer-based support at the point-of-care in the Emergency Department.

Dympna M O'Sullivan1, Julie S Doyle, Wojtek J Michalowski, Szymon A Wilk, Ken J Farion, Craig E Kuziemsky.   

Abstract

A significant body of research investigates the acceptance of computer-based support (including devices and applications ranging from e-mail to specialized clinical systems, like PACS) among clinicians. Much of this research has focused on measuring the usability of systems using characteristics related to the clarity of interactions and ease of use. We propose that an important attribute of any clinical computer-based support tool is the intrinsic motivation of the end-user (i.e. a clinician) to use the system in practice. In this paper we present the results of a study that investigated factors motivating medical doctors (MDs) to use computer-based support. Our results demonstrate that MDs value computer-based support, find it useful and easy to use, however, uptake is hindered by perceived incompetence, and pressure and tension associated with using technology.

Mesh:

Year:  2011        PMID: 22195165      PMCID: PMC3243227     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  12 in total

1.  Computer Technology Training in the Workplace: A Longitudinal Investigation of the Effect of Mood.

Authors: 
Journal:  Organ Behav Hum Decis Process       Date:  1999-07

2.  Mobile information and communication tools in the hospital.

Authors:  E Ammenwerth; A Buchauer; B Bludau; R Haux
Journal:  Int J Med Inform       Date:  2000-01       Impact factor: 4.046

3.  Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality.

Authors:  David W Bates; Gilad J Kuperman; Samuel Wang; Tejal Gandhi; Anne Kittler; Lynn Volk; Cynthia Spurr; Ramin Khorasani; Milenko Tanasijevic; Blackford Middleton
Journal:  J Am Med Inform Assoc       Date:  2003-08-04       Impact factor: 4.497

4.  Failure to provide clinicians useful IT systems: opportunities to leapfrog current technologies.

Authors:  M J Ball; J S Silva; S Bierstock; J V Douglas; A F Norcio; J Chakraborty; J Srini
Journal:  Methods Inf Med       Date:  2008       Impact factor: 2.176

5.  Creating and sharing clinical decision support content with Web 2.0: Issues and examples.

Authors:  Adam Wright; David W Bates; Blackford Middleton; Tonya Hongsermeier; Vipul Kashyap; Sean M Thomas; Dean F Sittig
Journal:  J Biomed Inform       Date:  2008-10-08       Impact factor: 6.317

6.  Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: a confirmatory factor analysis.

Authors:  E McAuley; T Duncan; V V Tammen
Journal:  Res Q Exerc Sport       Date:  1989-03       Impact factor: 2.500

7.  Facilitating internalization: the self-determination theory perspective.

Authors:  E L Deci; H Eghrari; B C Patrick; D R Leone
Journal:  J Pers       Date:  1994-03

Review 8.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success.

Authors:  Kensaku Kawamoto; Caitlin A Houlihan; E Andrew Balas; David F Lobach
Journal:  BMJ       Date:  2005-03-14

9.  The state of the art in clinical knowledge management: an inventory of tools and techniques.

Authors:  Dean F Sittig; Adam Wright; Linas Simonaitis; James D Carpenter; George O Allen; Bradley N Doebbeling; Anwar Mohammad Sirajuddin; Joan S Ash; Blackford Middleton
Journal:  Int J Med Inform       Date:  2009-10-14       Impact factor: 4.046

10.  People and organizational issues in research systems implementation.

Authors:  Joan S Ash; Nicholas R Anderson; Peter Tarczy-Hornoch
Journal:  J Am Med Inform Assoc       Date:  2008-02-28       Impact factor: 4.497

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  2 in total

1.  Physician understanding, explainability, and trust in a hypothetical machine learning risk calculator.

Authors:  William K Diprose; Nicholas Buist; Ning Hua; Quentin Thurier; George Shand; Reece Robinson
Journal:  J Am Med Inform Assoc       Date:  2020-04-01       Impact factor: 4.497

2.  Comparing predictions made by a prediction model, clinical score, and physicians: pediatric asthma exacerbations in the emergency department.

Authors:  K J Farion; S Wilk; W Michalowski; D O'Sullivan; J Sayyad-Shirabad
Journal:  Appl Clin Inform       Date:  2013-08-07       Impact factor: 2.342

  2 in total

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