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

被引:23
|
作者
Yuan, Christina T. [1 ]
Bradley, Elizabeth H. [1 ]
Nembhard, Ingrid M. [1 ]
机构
[1] Yale Univ, Sch Publ Hlth, Dept Hlth Policy & Management, New Haven, CT 06520 USA
基金
美国医疗保健研究与质量局;
关键词
Electronic health record (EHR); Super users; Implementation; Social influence; INFORMATION-TECHNOLOGY; QUALITATIVE RESEARCH; MEDICAL-RECORDS; ATTITUDES; CARE; ACCEPTANCE; ENGAGEMENT; NETWORK;
D O I
10.1186/s12911-015-0154-6
中图分类号
R-058 [];
学科分类号
摘要
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.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] A mixed methods study of how clinician ‘super users’ influence others during the implementation of electronic health records
    Christina T Yuan
    Elizabeth H Bradley
    Ingrid M Nembhard
    BMC Medical Informatics and Decision Making, 15
  • [2] The clinician's perspective on electronic health records and how they can affect patient care
    Walsh, SH
    BMJ-BRITISH MEDICAL JOURNAL, 2004, 328 (7449): : 1184 - 1187
  • [3] Return on Investment in Electronic Health Records in Primary Care Practices: A Mixed-Methods Study
    Jang, Yeona
    Lortie, Michel A.
    Sanche, Steven
    JMIR MEDICAL INFORMATICS, 2014, 2 (02): : 233 - 247
  • [4] The use of electronic health records for recruitment in clinical trials: a mixed methods analysis of the Harmony Outcomes Electronic Health Record Ancillary Study
    O'Brien, Emily C.
    Raman, Sudha R.
    Ellis, Alicia
    Hammill, Bradley G.
    Berdan, Lisa G.
    Rorick, Tyrus
    Janmohamed, Salim
    Lampron, Zachary
    Hernandez, Adrian F.
    Curtis, Lesley H.
    TRIALS, 2021, 22 (01)
  • [5] The use of electronic health records for recruitment in clinical trials: a mixed methods analysis of the Harmony Outcomes Electronic Health Record Ancillary Study
    Emily C. O’Brien
    Sudha R. Raman
    Alicia Ellis
    Bradley G. Hammill
    Lisa G. Berdan
    Tyrus Rorick
    Salim Janmohamed
    Zachary Lampron
    Adrian F. Hernandez
    Lesley H. Curtis
    Trials, 22
  • [6] Clinician Needs for Electronic Health Record Pediatric and Adolescent Weight Management Tools: A Mixed-Methods Study
    Braddock, Amy S.
    Bosworth, K. Taylor
    Ghosh, Parijat
    Proffitt, Rachel
    Flowers, Lauren
    Montgomery, Emma
    Wilson, Gwendolyn
    Tosh, Aneesh K.
    Koopman, Richelle J.
    APPLIED CLINICAL INFORMATICS, 2024, 15 (02): : 368 - 377
  • [7] Electronic Health Record Adoption - Maybe It's not about the Money Physician Super-Users, Electronic Health Records and Patient Care
    Grabenbauer, L.
    Skinner, A.
    Windle, J.
    APPLIED CLINICAL INFORMATICS, 2011, 2 (04): : 460 - 471
  • [8] Documenting human papillomavirus vaccine refusal among adolescents in electronic health records: A mixed methods study
    Vielot, Nadja A.
    Ballard, Christine A. P.
    St Jean, Denise T.
    Page, Sophie
    Hammond, Kelli
    Thompson, Peyton
    Butler, Anne M.
    Ranney, Leah M.
    VACCINE, 2024, 42 (26)
  • [9] Computationally efficient methods for fitting mixed models to electronic health records data
    Rhodes, K. M.
    Turner, R. M.
    Payne, R. A.
    White, I. R.
    STATISTICS IN MEDICINE, 2018, 37 (29) : 4557 - 4570
  • [10] A mixed-methods evaluation framework for electronic health records usability studies
    Khairat, Saif
    Coleman, Cameron
    Newlin, Thomas
    Rand, Victoria
    Ottmar, Paige
    Bice, Thomas
    Carson, Shannon S.
    JOURNAL OF BIOMEDICAL INFORMATICS, 2019, 94