help button home button JAMIA Hate scrolling?
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH

First published October 5, 2003 as JAMIA PrePrint; doi:10.1197/jamia.M1409
Journal of the American Medical Informatics Association 2004;11(1):43-49
© 2004 American Medical Informatics Association


A more recent version of this article appeared on January 1, 2004
This Article
Right arrow Full Text (PDF)
Right arrow Appendix A
Right arrow All Versions of this Article:
M1409v1
11/1/43    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by O'Connell, R. T.
Right arrow Articles by Shiffman, R. N.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by O'Connell, R. T.
Right arrow Articles by Shiffman, R. N.

Submitted on June 12, 2003
Accepted on September 11, 2003

Take Note(s): Differential EHR satisfaction with two implementations under one roof

Ryan T. O'Connell MD1*, Christine Cho MD, MPH2, Nidhi Shah MD3, Karen Brown MD3, and Richard N. Shiffman MD, MCIS4

Affiliation of the authors: 1 Department of Internal Medicine, Center for Medical Informatics, Yale University School of Medicine, New Haven, CT; 2 Department of Pediatrics, Yale University School of Medicine, New Haven, CT; 3 Department of Internal Medicine, Yale University School of Medicine, New Haven, CT; 4 Department of Pediatrics, Center for Medical Informatics, Yale University School of Medicine, New Haven, CT

* To whom correspondence should be addressed.

Objective To rigorously evaluate perceived differences in satisfaction with an EHR (electronic health record) between residents of two medical specialties who share the same health record, practice location, administrative and information technology support.

Design A cross-sectional survey comparing user satisfaction between pediatrics residents and internal medicine residents in an academic practice.

Measurements The survey was designed to measure baseline demographic characteristics, attitudes toward computers, general satisfaction with an EHR, plus perceived practicality of use, variation from familiar practice, organizational support, and impact on delivery of care.

Results Medicine subjects were similar to pediatrics subjects in baseline demographic characteristics. Satisfaction with the EHR implementation was very high for both sets of subjects, but internal medicine residents were significantly less likely to be satisfied with the EHR implementation (relative risk(RR)=0.84, 95% confidence interval(CI)= 0.73-0.98) and considerably less likely to believe that their colleagues were satisfied with it (RR=0.56, 95% CI= 0.41-0.77). The only surveyed characteristic independently predicting satisfaction was medical specialty (P = 0.04). Medicine subjects were less likely to believe template-based documentation improved their efficiency (RR=0.64, 95% CI = 0.46-0.88). They were significantly more likely to believe the system had been designed to improve billing (RR = 1.50, 95% CI = 1.05-2.04), not to improve patient care (RR=0.61, 95% CI = 0.44-0.85).

Conclusion We found a difference in satisfaction between internal medicine and pediatrics users of an EHR. Though many potential factors that influence satisfaction were similar between subjects in the two specialties, differences in previous experience may have influenced the results. Medicine residents had more previous experience with a different EHR implementation which they may have perceived as superior to the one involved in this study. Pediatric residents had more previous experience with structured data entry prior to EHR implementation and more preventive care patient encounters for which structured data entry may be well suited. Since successful implementations generally require satisfied users, understanding what factors impact on satisfaction can improve chances of a system's success.




This article has been cited by other articles:


Home page
Health Informatics JournalHome page
A. Vishwanath and S. D. Scamurra
Barriers to the adoption of electronic health records: using concept mapping to develop a comprehensive empirical model
Health Informatics Journal, June 1, 2007; 13(2): 119 - 134.
[Abstract] [PDF]


Home page
Acad. PsychiatryHome page
C. R. Keenan, H. H. Nguyen, and M. Srinivasan
Electronic Medical Records and Their Impact on Resident and Medical Student Education
Acad Psychiatry, December 1, 2006; 30(6): 522 - 527.
[Abstract] [Full Text] [PDF]


Home page
Ann Fam MedHome page
D. H. Fernald, W. D. Pace, D. M. Harris, D. R. West, D. S. Main, and J. M. Westfall
Event Reporting to a Primary Care Patient Safety Reporting System: A Report From the ASIPS Collaborative
Ann. Fam. Med, July 1, 2004; 2(4): 327 - 332.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Copyright © 1994 by the American Medical Informatics Association.