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      Users’ perspectives of key factors to implementing electronic health records in Canada: a Delphi study

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          Abstract

          Background

          Interoperable electronic health record (EHR) solutions are currently being implemented in Canada, as in many other countries. Understanding EHR users’ perspectives is key to the success of EHR implementation projects. This Delphi study aimed to assess in the Canadian context the applicability, the importance, and the priority of pre-identified factors from a previous mixed-methods systematic review of international literature.

          Methods

          A three-round Delphi study was held with representatives of 4 Canadian EHR user groups defined as partners of the implementation process who use or are expected to use EHR in their everyday activity. These groups are: non-physician healthcare professionals, health information professionals, managers, and physicians. Four bilingual online questionnaire versions were developed from factors identified by the systematic review. Participants were asked to rate the applicability and the importance of each factor. The main outcome measures were consensus and priority. Consensus was defined a priori as strong (≥ 75%) or moderate (≥ 60-74%) according to user groups’ level of agreement on applicability and importance, partial (≥ 60%) when participants agreed only on applicability or importance, or as no consensus (< 60%). Priority for decision-making was defined as factors with strong consensus with scores of 4 or 5 on a five-point Likert scale for applicability and importance.

          Results

          Three Delphi rounds were completed by 64 participants. Levels of consensus of 100%, 64%, 64%, and 44% were attained on factors submitted to non-physician healthcare professionals, health information professionals, managers, and physicians, respectively. While agreement between and within user groups varied, key factors were prioritized if they were classified as strong (≥ 75% from questionnaire answers of user groups), for decision-making concerning EHR implementation. The10 factors that were prioritized are perceived usefulness, productivity, motivation, participation of end-users in the implementation strategy, patient and health professional interaction, lack of time and workload, resources availability, management, outcome expectancy, and interoperability.

          Conclusions

          Amongst all factors influencing EHR implementation identified in a previous systematic review, ten were prioritized through this Delphi study. The varying levels of agreement between and within user groups could mean that users’ perspectives of each factor are complex and that each user group has unique professional priorities and roles in the EHR implementation process. As more EHR implementations in Canada are completed it will be possible to corroborate this preliminary result with a larger population of EHR users.

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          Most cited references20

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          The Delphi method as a research tool: an example, design considerations and applications

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            Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions

            Background The main objective of this research is to identify, categorize, and analyze barriers perceived by physicians to the adoption of Electronic Medical Records (EMRs) in order to provide implementers with beneficial intervention options. Methods A systematic literature review, based on research papers from 1998 to 2009, concerning barriers to the acceptance of EMRs by physicians was conducted. Four databases, "Science", "EBSCO", "PubMed" and "The Cochrane Library", were used in the literature search. Studies were included in the analysis if they reported on physicians' perceived barriers to implementing and using electronic medical records. Electronic medical records are defined as computerized medical information systems that collect, store and display patient information. Results The study includes twenty-two articles that have considered barriers to EMR as perceived by physicians. Eight main categories of barriers, including a total of 31 sub-categories, were identified. These eight categories are: A) Financial, B) Technical, C) Time, D) Psychological, E) Social, F) Legal, G) Organizational, and H) Change Process. All these categories are interrelated with each other. In particular, Categories G (Organizational) and H (Change Process) seem to be mediating factors on other barriers. By adopting a change management perspective, we develop some barrier-related interventions that could overcome the identified barriers. Conclusions Despite the positive effects of EMR usage in medical practices, the adoption rate of such systems is still low and meets resistance from physicians. This systematic review reveals that physicians may face a range of barriers when they approach EMR implementation. We conclude that the process of EMR implementation should be treated as a change project, and led by implementers or change managers, in medical practices. The quality of change management plays an important role in the success of EMR implementation. The barriers and suggested interventions highlighted in this study are intended to act as a reference for implementers of Electronic Medical Records. A careful diagnosis of the specific situation is required before relevant interventions can be determined.
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              A survey of primary care physicians in eleven countries, 2009: perspectives on care, costs, and experiences.

              This 2009 survey of primary care doctors in Australia, Canada, France, Germany, Italy, the Netherlands, New Zealand, Norway, Sweden, the United Kingdom, and the United States finds wide differences in practice systems, incentives, perceptions of access to care, use of health information technology (IT), and programs to improve quality. Response rates exceeded 40 percent except in four countries: Canada, France, the United Kingdom, and the United States. U.S. and Canadian physicians lag in the adoption of IT. U.S. doctors were the most likely to report that there are insurance restrictions on obtaining medication and treatment for their patients and that their patients often have difficulty with costs. We believe that opportunities exist for cross-national learning in disease management, use of teams, and performance feedback to improve primary care globally.
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                Author and article information

                Journal
                BMC Med Inform Decis Mak
                BMC Med Inform Decis Mak
                BMC Medical Informatics and Decision Making
                BioMed Central
                1472-6947
                2012
                11 September 2012
                : 12
                : 105
                Affiliations
                [1 ]Institut de réadaptation en déficience physique de Québec, Québec, Canada
                [2 ]Research Centre of the Centre hospitalier universitaire de Québec, Québec, Canada
                [3 ]Faculty of Nursing, Université Laval, Québec, Canada
                [4 ]Health Informatics Institute, Algoma University, Algoma, Sault-Sainte-Marie, Canada
                [5 ]Department of Health Management, Université de Montréal, Montréal, Canada
                [6 ]Department of Nursing, Université de Sherbrooke, Sherbrooke, Canada
                [7 ]Department of Social and Preventive Medicine, Université Laval, Québec, Canada
                [8 ]Department of Family and Emergency Medicine, Université Laval, Québec, Canada
                Article
                1472-6947-12-105
                10.1186/1472-6947-12-105
                3470948
                22967231
                f6dec5af-285b-4bc9-b617-42fc0bac7170
                Copyright ©2012 McGinn et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 23 February 2012
                : 31 August 2012
                Categories
                Research Article

                Bioinformatics & Computational biology
                implementation factors,electronic health record,adoption factors,health communication technology,health information technology,medical informatics,delphi technique

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