Literature DB >> 14527978

Take note(s): differential EHR satisfaction with two implementations under one roof.

Ryan T O'Connell1, Christine Cho, Nidhi Shah, Karen Brown, Richard N Shiffman.   

Abstract

OBJECTIVE: The aim of this study was to rigorously evaluate perceived differences in satisfaction with an electronic health record (EHR) between residents of two medical specialties who share the same health record, practice location, administration, and information technology support.
DESIGN: A cross-sectional survey was used 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, and 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) and not to improve patient care (RR=0.61, 95% CI=0.44-0.85).
CONCLUSION: The authors found a difference in satisfaction between internal medicine and pediatrics users of an EHR. Although 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 affect satisfaction can improve chances of a system's success.

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Mesh:

Year:  2003        PMID: 14527978      PMCID: PMC305457          DOI: 10.1197/jamia.M1409

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  34 in total

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  29 in total

1.  Adoption and utilization of electronic health record systems by long-term care facilities in Texas.

Authors:  Tiankai Wang; Sue Biedermann
Journal:  Perspect Health Inf Manag       Date:  2012-04-01

2.  EHR acceptance factors in ambulatory care: a survey of physician perceptions.

Authors:  Mary E Morton; Susan Wiedenbeck
Journal:  Perspect Health Inf Manag       Date:  2010-01-01

Review 3.  Systematic review of factors influencing the adoption of information and communication technologies by healthcare professionals.

Authors:  Marie-Pierre Gagnon; Marie Desmartis; Michel Labrecque; Josip Car; Claudia Pagliari; Pierre Pluye; Pierre Frémont; Johanne Gagnon; Nadine Tremblay; France Légaré
Journal:  J Med Syst       Date:  2010-03-30       Impact factor: 4.460

4.  Surgeons' perspective of a newly initiated electronic medical record.

Authors:  Richard Frazee; Laura Harmon; Harry T Papaconstantinou
Journal:  Proc (Bayl Univ Med Cent)       Date:  2016-01

5.  Measuring clinicians' expectations prior to EHR implementation.

Authors:  Michael N Cantor; Beth G Raucher
Journal:  AMIA Annu Symp Proc       Date:  2005

6.  Priorities and strategies for the implementation of integrated informatics and communications technology to improve evidence-based practice.

Authors:  Bradley N Doebbeling; Ann F Chou; William M Tierney
Journal:  J Gen Intern Med       Date:  2006-02       Impact factor: 5.128

7.  An information systems model of the determinants of electronic health record use.

Authors:  P Messeri; S Khan; M Millery; A Campbell; J Merrill; S Shih; R Kukafka
Journal:  Appl Clin Inform       Date:  2013-04-17       Impact factor: 2.342

8.  Patient and Physician Perceptions of the Impact of Electronic Health Records on the Patient-Physician Relationship.

Authors:  Margaret Eberts; Daniel Capurro
Journal:  Appl Clin Inform       Date:  2019-09-25       Impact factor: 2.342

9.  Event reporting to a primary care patient safety reporting system: a report from the ASIPS collaborative.

Authors:  Douglas H Fernald; Wilson D Pace; Daniel M Harris; David R West; Deborah S Main; John M Westfall
Journal:  Ann Fam Med       Date:  2004 Jul-Aug       Impact factor: 5.166

10.  Adoption of electronic health records: a qualitative study of academic and private physicians and health administrators.

Authors:  L Grabenbauer; R Fraser; J McClay; N Woelfl; C B Thompson; J Cambell; J Windle
Journal:  Appl Clin Inform       Date:  2011-05-25       Impact factor: 2.342

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