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Published in: BMC Medical Informatics and Decision Making 1/2015

Open Access 01-12-2015 | Research article

A mixed methods study of how clinician ‘super users’ influence others during the implementation of electronic health records

Authors: Christina T Yuan, Elizabeth H Bradley, Ingrid M Nembhard

Published in: BMC Medical Informatics and Decision Making | Issue 1/2015

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Abstract

Background

Despite the potential for electronic health records (EHRs) to improve patient safety and quality of care, the intended benefits of EHRs are not always realized because of implementation-related challenges. Enlisting clinician super users to provide frontline support to employees has been recommended to foster EHR implementation success. In some instances, their enlistment has been associated with implementation success; in other cases, it has not. Little is known about why some super users are more effective than others. The purpose of this study was to identify super users’ mechanisms of influence and examine their effects on EHR implementation outcomes.

Methods

We conducted a longitudinal (October 2012 – June 2013), comparative case study of super users’ behaviors on two medical units of a large, academic hospital implementing a new EHR system. We assessed super users’ behaviors by observing 29 clinicians and conducting 24 in-depth interviews. The implementation outcome, clinicians’ information systems (IS) proficiency, was assessed using longitudinal survey data collected from 43 clinicians before and after the EHR start-date. We used multivariable linear regression to estimate the relationship between clinicians’ IS proficiency and the clinical unit in which they worked.

Results

Super users on both units employed behaviors that supported and hindered implementation. Four super user behaviors differed between the two units: proactivity, depth of explanation, framing, and information-sharing. The unit in which super users were more proactive, provided more comprehensive explanations for their actions, used positive framing, and shared information more freely experienced significantly greater improvement in clinicians’ IS proficiency (p =0.03). Use of the four behaviors varied as a function of super users’ role engagement, which was influenced by how the two units’ managers selected super users and shaped the implementation climate.

Conclusions

Super users’ behaviors in implementing EHRs vary substantively and can have important influence on implementation success.
Literature
2.
go back to reference Miller RH, Sim I. Physicians’ use of electronic medical records: barriers and solutions. Health Aff (Millwood). 2004;23:116–26.CrossRef Miller RH, Sim I. Physicians’ use of electronic medical records: barriers and solutions. Health Aff (Millwood). 2004;23:116–26.CrossRef
3.
go back to reference Hillestad R, Bigelow J, Bower A, Girosi F, Meili R, Scoville R, et al. Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health Aff (Millwood). 2005;24:1103–17.CrossRef Hillestad R, Bigelow J, Bower A, Girosi F, Meili R, Scoville R, et al. Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health Aff (Millwood). 2005;24:1103–17.CrossRef
4.
go back to reference Chaudhry B, Wang J, Wu S, Maglione M, Mojica W, Roth E, et al. Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med. 2006;144:742–52.CrossRefPubMed Chaudhry B, Wang J, Wu S, Maglione M, Mojica W, Roth E, et al. Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med. 2006;144:742–52.CrossRefPubMed
5.
go back to reference Boonstra A, Broekhuis M. Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC Health Serv Res. 2010;10:231.CrossRefPubMedPubMedCentral Boonstra A, Broekhuis M. Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC Health Serv Res. 2010;10:231.CrossRefPubMedPubMedCentral
6.
7.
go back to reference Harrison MI, Koppel R, Bar-Lev S. Unintended consequences of information technologies in health care—an interactive sociotechnical analysis. J Am Med Inform Assoc. 2007;14:542–9.CrossRefPubMedPubMedCentral Harrison MI, Koppel R, Bar-Lev S. Unintended consequences of information technologies in health care—an interactive sociotechnical analysis. J Am Med Inform Assoc. 2007;14:542–9.CrossRefPubMedPubMedCentral
8.
go back to reference Øvretveit J, Scott T, Rundall TG, Shortell SM, Brommels M. Implementation of electronic medical records in hospitals: two case studies. Health Policy. 2007;84:181–90.CrossRefPubMed Øvretveit J, Scott T, Rundall TG, Shortell SM, Brommels M. Implementation of electronic medical records in hospitals: two case studies. Health Policy. 2007;84:181–90.CrossRefPubMed
9.
go back to reference Keshavjee K, Bosomworth J, Copen J, Lai J, Kucukyazici B, Lilani R, et al.. Best practices in EMR implementation: a systematic review. AMIA Annu Symp Proc. 2006;982. Keshavjee K, Bosomworth J, Copen J, Lai J, Kucukyazici B, Lilani R, et al.. Best practices in EMR implementation: a systematic review. AMIA Annu Symp Proc. 2006;982.
10.
go back to reference Klein KJ, Sorra JS. The challenge of innovation implementation. Acad Manage Rev. 1996;21:1055–80. Klein KJ, Sorra JS. The challenge of innovation implementation. Acad Manage Rev. 1996;21:1055–80.
11.
go back to reference Whitten JL, Barlow VM, Bentley L. Systems analysis and design methods. Boston: McGraw-Hill Professional; 1997. Whitten JL, Barlow VM, Bentley L. Systems analysis and design methods. Boston: McGraw-Hill Professional; 1997.
12.
go back to reference Boffa D, Pawola L. Identification and conceptualization of nurse super users. JHIM. 2005;20:60–8. Boffa D, Pawola L. Identification and conceptualization of nurse super users. JHIM. 2005;20:60–8.
13.
go back to reference Hummel J, Evans P. EHR Implementation with minimal practice disruption in primary care settings: the experience of the Washington & Idaho Regional Extension Center. Qualis Health. 2012. Hummel J, Evans P. EHR Implementation with minimal practice disruption in primary care settings: the experience of the Washington & Idaho Regional Extension Center. Qualis Health. 2012.
14.
go back to reference Simmons N. A super user group for your electronic health record! Comput Inform Nurs. 2013;31:53–6.CrossRefPubMed Simmons N. A super user group for your electronic health record! Comput Inform Nurs. 2013;31:53–6.CrossRefPubMed
15.
go back to reference McIntire S, Clark T. Essential steps in super user education for ambulatory clinic nurses. Urol Nurs. 2009;29:337–43.PubMed McIntire S, Clark T. Essential steps in super user education for ambulatory clinic nurses. Urol Nurs. 2009;29:337–43.PubMed
16.
go back to reference McAlearney AS, Robbins J, Kowalczyk N, Chisolm DJ, Song PH. The role of cognitive and learning theories in supporting successful EHR system implementation training: a qualitative study. Med Care Res Rev. 2012;69:294–315.CrossRefPubMed McAlearney AS, Robbins J, Kowalczyk N, Chisolm DJ, Song PH. The role of cognitive and learning theories in supporting successful EHR system implementation training: a qualitative study. Med Care Res Rev. 2012;69:294–315.CrossRefPubMed
17.
go back to reference Halbesleben JR, Wakefield DS, Ward MM, Brokel J, Crandall D. The relationship between super users’ attitudes and employee experiences with clinical information systems. Med Care Res Rev. 2009;66:82–96.CrossRefPubMed Halbesleben JR, Wakefield DS, Ward MM, Brokel J, Crandall D. The relationship between super users’ attitudes and employee experiences with clinical information systems. Med Care Res Rev. 2009;66:82–96.CrossRefPubMed
18.
go back to reference Marsden PV, Friedkin NE. Network studies of social influence. Sociol Method Res. 1993;22:127–51.CrossRef Marsden PV, Friedkin NE. Network studies of social influence. Sociol Method Res. 1993;22:127–51.CrossRef
19.
go back to reference Salancik GR, Pfeffer J. A social information processing approach to job attitudes and task design. Admin Sci Quart. 1978;23:224–53.CrossRef Salancik GR, Pfeffer J. A social information processing approach to job attitudes and task design. Admin Sci Quart. 1978;23:224–53.CrossRef
20.
go back to reference Bandura A. Social foundations of thought and action. Englewood Cliffs, NJ: Prentice Hall; 1986. Bandura A. Social foundations of thought and action. Englewood Cliffs, NJ: Prentice Hall; 1986.
21.
go back to reference Rice RE, Aydin C. Attitudes toward new organizational technology: network proximity as a mechanism for social information processing. Admin Sci Quart. 1991;36(2):219–44.CrossRef Rice RE, Aydin C. Attitudes toward new organizational technology: network proximity as a mechanism for social information processing. Admin Sci Quart. 1991;36(2):219–44.CrossRef
22.
go back to reference Gallivan MJ, Spitler VK, Koufaris M. Does information technology training really matter? A social information processing analysis of coworkers’ influence on IT usage in the workplace. J Manage Inform Syst. 2003;22:153–92.CrossRef Gallivan MJ, Spitler VK, Koufaris M. Does information technology training really matter? A social information processing analysis of coworkers’ influence on IT usage in the workplace. J Manage Inform Syst. 2003;22:153–92.CrossRef
23.
go back to reference Lave J, Wenger E. Situated learning: legitimate peripheral participation. Cambridge: Cambrdige University Press; 1991.CrossRef Lave J, Wenger E. Situated learning: legitimate peripheral participation. Cambridge: Cambrdige University Press; 1991.CrossRef
24.
go back to reference Wagner EL, Piccoli G. Moving beyond user participation to achieve successful IS design. Commun ACM. 2007;50:51–5.CrossRef Wagner EL, Piccoli G. Moving beyond user participation to achieve successful IS design. Commun ACM. 2007;50:51–5.CrossRef
25.
26.
go back to reference Bradley EH, Nembhard IM, Yuan CT, Stern AF, Curtis JP, Nallamothu BK, et al. What is the experience of national quality campaigns? Views from the field. Health Serv Res. 2010;45:1651–69.CrossRefPubMedPubMedCentral Bradley EH, Nembhard IM, Yuan CT, Stern AF, Curtis JP, Nallamothu BK, et al. What is the experience of national quality campaigns? Views from the field. Health Serv Res. 2010;45:1651–69.CrossRefPubMedPubMedCentral
27.
go back to reference Curry LA, Nembhard IM, Bradley EH. Qualitative and mixed methods provide unique contributions to outcomes research. Circulation. 2009;119:1442–52.CrossRefPubMed Curry LA, Nembhard IM, Bradley EH. Qualitative and mixed methods provide unique contributions to outcomes research. Circulation. 2009;119:1442–52.CrossRefPubMed
28.
go back to reference Edmondson AC, McManus SE. Methodological fit in management field research. Acad Manage Rev. 2007;32:1246–64.CrossRef Edmondson AC, McManus SE. Methodological fit in management field research. Acad Manage Rev. 2007;32:1246–64.CrossRef
29.
go back to reference Creswell JW, Piano Clark VL. Designing and conducting mixed methods research. Thousand Oaks, CA: Sage Publications; 2007. Creswell JW, Piano Clark VL. Designing and conducting mixed methods research. Thousand Oaks, CA: Sage Publications; 2007.
30.
go back to reference Bradley EH, Curry LA, Devers KJ. Qualitative data analysis for health services research: developing taxonomy, themes, and theory. Health Serv Res. 2007;42:1758–72.CrossRefPubMedPubMedCentral Bradley EH, Curry LA, Devers KJ. Qualitative data analysis for health services research: developing taxonomy, themes, and theory. Health Serv Res. 2007;42:1758–72.CrossRefPubMedPubMedCentral
31.
go back to reference Fetterman DM. Ethnography. In: Bickman L, Rog DG, editors. Handbook of applied social research methods. Thousand Oaks, CA: Sage; 1998. p. 473–504. Fetterman DM. Ethnography. In: Bickman L, Rog DG, editors. Handbook of applied social research methods. Thousand Oaks, CA: Sage; 1998. p. 473–504.
32.
go back to reference Glaser BG, Strauss AL. The discovery of grounded theory: strategies for qualitative research. Rutgers, NJ: Transaction Publishers; 2009. Glaser BG, Strauss AL. The discovery of grounded theory: strategies for qualitative research. Rutgers, NJ: Transaction Publishers; 2009.
33.
go back to reference Patton MQ. Qualitative research and evaluation methods. 3rd ed. Thousand Oaks, CA: Sage Publications; 2002. Patton MQ. Qualitative research and evaluation methods. 3rd ed. Thousand Oaks, CA: Sage Publications; 2002.
34.
go back to reference Miles MB, Huberman AM. Qualitative data analysis: an expanded sourcebook. Thousand Oaks, CA: Sage; 1994. Miles MB, Huberman AM. Qualitative data analysis: an expanded sourcebook. Thousand Oaks, CA: Sage; 1994.
35.
go back to reference Devers KJ. How will we know “good” qualitative research when we see it? Beginning the dialogue in health services research. Health Serv Res. 1999;34:1153.PubMedPubMedCentral Devers KJ. How will we know “good” qualitative research when we see it? Beginning the dialogue in health services research. Health Serv Res. 1999;34:1153.PubMedPubMedCentral
36.
go back to reference O’Brien BC, Harris IB, Beckman TJ, Reed DA, Cook DA. Standards for reporting qualitative research: a synthesis of recommendations. Acad Med. 2014;89:1245–51.CrossRefPubMed O’Brien BC, Harris IB, Beckman TJ, Reed DA, Cook DA. Standards for reporting qualitative research: a synthesis of recommendations. Acad Med. 2014;89:1245–51.CrossRefPubMed
37.
go back to reference Kane GC, Borgatti SP. Centrality-IS proficiency alignment and workgroup performance. MIS Quart. 2011;35:1063–78. Kane GC, Borgatti SP. Centrality-IS proficiency alignment and workgroup performance. MIS Quart. 2011;35:1063–78.
38.
go back to reference Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quart. 1989;13(3):319–40.CrossRef Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quart. 1989;13(3):319–40.CrossRef
39.
go back to reference Marcolin BL, Compeau DR, Munro MC, Huff SL. Assessing user competence: conceptualization and measurement. Inform Syst. 2000;11:37–60.CrossRef Marcolin BL, Compeau DR, Munro MC, Huff SL. Assessing user competence: conceptualization and measurement. Inform Syst. 2000;11:37–60.CrossRef
40.
go back to reference Yoon Y, Guimaraes T, O’Neal Q. Exploring the factors associated with expert systems success. MIS Quart. 1995;19(1):83–106.CrossRef Yoon Y, Guimaraes T, O’Neal Q. Exploring the factors associated with expert systems success. MIS Quart. 1995;19(1):83–106.CrossRef
41.
go back to reference Nunnally J. Psychometric theory. 2nd ed. New York: McGraw-Hill; 1978. Nunnally J. Psychometric theory. 2nd ed. New York: McGraw-Hill; 1978.
42.
go back to reference Gioia DA. The thinking organization. San Francisco: Jossey-Bass; 1986. Gioia DA. The thinking organization. San Francisco: Jossey-Bass; 1986.
43.
go back to reference Schaufeli WB, Bakker AB. Job demands, job resources, and their relationship with burnout and engagement: a multi‐sample study. J Organ Behav. 2004;25:293–315.CrossRef Schaufeli WB, Bakker AB. Job demands, job resources, and their relationship with burnout and engagement: a multi‐sample study. J Organ Behav. 2004;25:293–315.CrossRef
44.
go back to reference Klein KJ, Conn AB, Sorra JS. Implementing computerized technology: an organizational analysis. J Appl Psychol. 2001;86:811.CrossRefPubMed Klein KJ, Conn AB, Sorra JS. Implementing computerized technology: an organizational analysis. J Appl Psychol. 2001;86:811.CrossRefPubMed
46.
go back to reference Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Quart. 2003;27(3):425–78. Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Quart. 2003;27(3):425–78.
47.
go back to reference Rothbard NP. Enriching or depleting? The dynamics of engagement in work and family roles. Admin Sci Quart. 2001;46:655–84.CrossRef Rothbard NP. Enriching or depleting? The dynamics of engagement in work and family roles. Admin Sci Quart. 2001;46:655–84.CrossRef
48.
go back to reference Cresswell K, Morrison Z, Crowe S, Robertson A, Sheikh A. Anything but engaged: user involvement in the context of a national electronic health record implementation. Inform Prim Care. 2011;19:191–206.PubMed Cresswell K, Morrison Z, Crowe S, Robertson A, Sheikh A. Anything but engaged: user involvement in the context of a national electronic health record implementation. Inform Prim Care. 2011;19:191–206.PubMed
50.
go back to reference Sykes TA, Venkatesh V, Rai A. Explaining physicians’ use of EMR systems and performance in the shakedown phase. J Am Med Inform Assn. 2011;18:125–30.CrossRef Sykes TA, Venkatesh V, Rai A. Explaining physicians’ use of EMR systems and performance in the shakedown phase. J Am Med Inform Assn. 2011;18:125–30.CrossRef
Metadata
Title
A mixed methods study of how clinician ‘super users’ influence others during the implementation of electronic health records
Authors
Christina T Yuan
Elizabeth H Bradley
Ingrid M Nembhard
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2015
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-015-0154-6

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