title: Development of a tool to measure user experience following electronic health record implementation.
abstract: OBJECTIVE
  The aim of this study was to develop a survey tool to assess electronic health record (EHR) implementation to guide improvement initiatives.
  
  
  BACKGROUND
  Survey tools are needed for ongoing improvement and have not been developed for aspects of EHR implementation.
  
  
  METHODS
  The Baylor EHR User Experience (UX) survey was developed to capture 5 concept domains: training and competency, usability, infrastructure, usefulness, and end-user support. Validation efforts included content validity assessment, a pilot study, and analysis of 606 nurse respondents. The revised tool was sent to randomly sampled EHR nurse-users in 11 acute care facilities.
  
  
  RESULTS
  A total of 1,301 nurses responded (37%). Internal consistency of the survey tool was excellent (Cronbach's α = .892). Survey responses including 1,819 open comments were used to identify and prioritize improvement efforts in areas such as education, support, optimization of EHR functions, and vendor change requests.
  
  
  CONCLUSIONS
  The Baylor EHR UX survey was a valid tool that can be useful for prioritizing improvement efforts in relation to EHR implementation.
authors: Author Affiliations: Director of Human Factors and Patient Safety Research (Dr Xiao), System Director of Nursing and Patient Care Informatics (Ms Montgomery), Director of Survey Research (Dr Barnes), Health Services Researcher, STEEEP Measurement, Analytics, and Reporting (Ms Philpot), Chief Patient Safety Officer (Ms Compton), and Associate Chief Quality Officer (Dr Kennerly), Baylor Scott & White Health-North Division, Dallas, Texas.
authors: Yan
authors: Y
authors: Xiao
authors: Donna Cook
authors: DC
authors: Montgomery
authors: Lindsey M
authors: LM
authors: Philpot
authors: Sunni A
authors: SA
authors: Barnes
authors: Jan
authors: J
authors: Compton
authors: Donald
authors: D
authors: Kennerly
mesh_terms: D003625:Data Collection / Q000379:methods; D057286:Electronic Health Records / Q000592:standards*; D009726:Nurses; D015203:Reproducibility of Results