The role of information technology in translating educational interventions into practice: an analysis using the PRECEDE/PROCEED model
- 1Geriatric Research, Education, and Clinical Center (GRECC), George E Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah, USA
- 2Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA
- 3Department of Internal Medicine, Division of Geriatrics, University of Utah School of Medicine, Salt Lake City, Utah, USA
- 4Intermountain Healthcare, Salt Lake City, Utah, USA
- Correspondence to Dr Charlene Weir, Geriatric Research, Education, and Clinical Center - GRECC (182), George E Wahlen Department of Veterans Affairs Medical Center, 500 Foothill Dr, Salt Lake City, UT 84148, USA; charlene.weir{at}hsc.utah.edu
- Received 21 July 2010
- Accepted 19 March 2011
- Published Online First 12 May 2011
Abstract
Objective The evidence base for information technology (IT) has been criticized, especially with the current emphasis on translational science. The purpose of this paper is to present an analysis of the role of IT in the implementation of a geriatric education and quality improvement (QI) intervention.
Design A mixed-method three-group comparative design was used. The PRECEDE/PROCEED implementation model was used to qualitatively identify key factors in the implementation process. These results were further explored in a quantitative analysis.
Method Thirty-three primary care clinics at three institutions (Intermountain Healthcare, VA Salt Lake City Health Care System, and University of Utah) participated. The program consisted of an onsite, didactic session, QI planning and 6 months of intense implementation support.
Results Completion rate was 82% with an average improvement rate of 21%. Important predisposing factors for success included an established electronic record and a culture of quality. The reinforcing and enabling factors included free continuing medical education credits, feedback, IT access, and flexible support. The relationship between IT and QI emerged as a central factor. Quantitative analysis found significant differences between institutions for pre–post changes even after the number and category of implementation strategies had been controlled for.
Conclusions The analysis illustrates the complex dependence between IT interventions, institutional characteristics, and implementation practices. Access to IT tools and data by individual clinicians may be a key factor for the success of QI projects. Institutions vary widely in the degree of access to IT tools and support. This article suggests that more attention be paid to the QI and IT department relationship.
- Electronic health records
- medical informatics
- adoption
- evaluation studies
- education
- medical
- continuing
- cognitive study
- uncertain reasoning and decision theory
- process modeling and hypothesis generation
- knowledge acquisition and knowledge management
- information storage and retrieval (text and images)
- machine learning
- implementation
Footnotes
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Funding Funded by a grant from the Donald W Reynolds Foundation to MS. Supported by the University of Utah Center for Clinical and Translational Science NIH grant #1U54RR023426-01A1.
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Competing interests None.
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Provenance and peer review Not commissioned; externally peer reviewed.









