Literature DB >> 19390094

The relationship between electronic health record use and quality of care over time.

Li Zhou1, Christine S Soran, Chelsea A Jenter, Lynn A Volk, E John Orav, David W Bates, Steven R Simon.   

Abstract

OBJECTIVE Electronic health records (EHRs) have the potential to advance the quality of care, but studies have shown mixed results. The authors sought to examine the extent of EHR usage and how the quality of care delivered in ambulatory care practices varied according to duration of EHR availability. METHODS The study linked two data sources: a statewide survey of physicians' adoption and use of EHR and claims data reflecting quality of care as indicated by physicians' performance on widely used quality measures. Using four years of measurement, we combined 18 quality measures into 6 clinical condition categories. While the survey of physicians was cross-sectional, respondents indicated the year in which they adopted EHR. In an analysis accounting for duration of EHR use, we examined the relationship between EHR adoption and quality of care. RESULTS The percent of physicians reporting adoption of EHR and availability of EHR core functions more than doubled between 2000 and 2005. Among EHR users in 2005, the average duration of EHR use was 4.8 years. For all 6 clinical conditions, there was no difference in performance between EHR users and non-users. In addition, for these 6 clinical conditions, there was no consistent pattern between length of time using an EHR and physicians performance on quality measures in both bivariate and multivariate analyses. CONCLUSIONS In this cross-sectional study, we found no association between duration of using an EHR and performance with respect to quality of care, although power was limited. Intensifying the use of key EHR features, such as clinical decision support, may be needed to realize quality improvement from EHRs. Future studies should examine the relationship between the extent to which physicians use key EHR functions and their performance on quality measures over time.

Mesh:

Year:  2009        PMID: 19390094      PMCID: PMC2705247          DOI: 10.1197/jamia.M3128

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


  33 in total

1.  e-Prescribing, efficiency, quality: lessons from the computerization of UK family practice.

Authors:  Charles P Schade; Frank M Sullivan; Simon de Lusignan; Jean Madeley
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

2.  Provider use of electronic health records in solo and small group practices.

Authors:  Christopher E West; Robert H Miller; Tiffany Noelle Martin Brown
Journal:  AMIA Annu Symp Proc       Date:  2006

3.  Correlates of electronic health record adoption in office practices: a statewide survey.

Authors:  Steven R Simon; Rainu Kaushal; Paul D Cleary; Chelsea A Jenter; Lynn A Volk; Eric G Poon; E John Orav; Helen G Lo; Deborah H Williams; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

4.  Physicians and electronic health records: a statewide survey.

Authors:  Steven R Simon; Rainu Kaushal; Paul D Cleary; Chelsea A Jenter; Lynn A Volk; E John Orav; Elisabeth Burdick; Eric G Poon; David W Bates
Journal:  Arch Intern Med       Date:  2007-03-12

5.  Electronic health record use and the quality of ambulatory care in the United States.

Authors:  Jeffrey A Linder; Jun Ma; David W Bates; Blackford Middleton; Randall S Stafford
Journal:  Arch Intern Med       Date:  2007-07-09

Review 6.  Prompting clinicians about preventive care measures: a systematic review of randomized controlled trials.

Authors:  Judith W Dexheimer; Thomas R Talbot; David L Sanders; S Trent Rosenbloom; Dominik Aronsky
Journal:  J Am Med Inform Assoc       Date:  2008-02-28       Impact factor: 4.497

7.  Electronic health records in four community physician practices: impact on quality and cost of care.

Authors:  W Pete Welch; Dawn Bazarko; Kimberly Ritten; Yo Burgess; Robert Harmon; Lewis G Sandy
Journal:  J Am Med Inform Assoc       Date:  2007-02-28       Impact factor: 4.497

8.  Electronic alerts versus on-demand decision support to improve dyslipidemia treatment: a cluster randomized controlled trial.

Authors:  Jacobus T van Wyk; Marc A M van Wijk; Miriam C J M Sturkenboom; Mees Mosseveld; Peter W Moorman; Johan van der Lei
Journal:  Circulation       Date:  2008-01-02       Impact factor: 29.690

9.  Integrated electronic decision support increases cardiovascular disease risk assessment four fold in routine primary care practice.

Authors:  Sue Wells; Sue Furness; Natasha Rafter; Elaine Horn; Robyn Whittaker; Alistair Stewart; Kate Moodabe; Paul Roseman; Vanessa Selak; Dale Bramley; Rod Jackson
Journal:  Eur J Cardiovasc Prev Rehabil       Date:  2008-04

Review 10.  Clinical decision support systems for addressing information needs of physicians.

Authors:  Yaron Denekamp
Journal:  Isr Med Assoc J       Date:  2007-11       Impact factor: 0.892

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  58 in total

1.  Are physicians' perceptions of healthcare quality and practice satisfaction affected by errors associated with electronic health record use?

Authors:  Jennifer S Love; Adam Wright; Steven R Simon; Chelsea A Jenter; Christine S Soran; Lynn A Volk; David W Bates; Eric G Poon
Journal:  J Am Med Inform Assoc       Date:  2011-12-23       Impact factor: 4.497

2.  Trends in biomedical informatics: most cited topics from recent years.

Authors:  Hyeon-Eui Kim; Xiaoqian Jiang; Jihoon Kim; Lucila Ohno-Machado
Journal:  J Am Med Inform Assoc       Date:  2011-12       Impact factor: 4.497

3.  Organizational complements to electronic health records in ambulatory physician performance: the role of support staff.

Authors:  Julia Adler-Milstein; Ashish K Jha
Journal:  J Am Med Inform Assoc       Date:  2012-04-19       Impact factor: 4.497

4.  Implementation of electronic medical records: effect on the provision of preventive services in a pay-for-performance environment.

Authors:  Michelle Greiver; Jan Barnsley; Richard H Glazier; Rahim Moineddin; Bart J Harvey
Journal:  Can Fam Physician       Date:  2011-10       Impact factor: 3.275

5.  EHR Adoption and Hospital Performance: Time-Related Effects.

Authors:  Julia Adler-Milstein; Jordan Everson; Shoou-Yih D Lee
Journal:  Health Serv Res       Date:  2015-10-16       Impact factor: 3.402

6.  Implementation of an outpatient electronic health record and emergency department visits, hospitalizations, and office visits among patients with diabetes.

Authors:  Mary Reed; Jie Huang; Richard Brand; Ilana Graetz; Romain Neugebauer; Bruce Fireman; Marc Jaffe; Dustin W Ballard; John Hsu
Journal:  JAMA       Date:  2013-09-11       Impact factor: 56.272

7.  What stands in the way of technology-mediated patient safety improvements?: a study of facilitators and barriers to physicians' use of electronic health records.

Authors:  Richard J Holden
Journal:  J Patient Saf       Date:  2011-12       Impact factor: 2.844

8.  Typical electronic health record use in primary care practices and the quality of diabetes care.

Authors:  Jesse C Crosson; Pamela A Ohman-Strickland; Deborah J Cohen; Elizabeth C Clark; Benjamin F Crabtree
Journal:  Ann Fam Med       Date:  2012 May-Jun       Impact factor: 5.166

9.  A statewide assessment of electronic health record adoption and health information exchange among nursing homes.

Authors:  Erika L Abramson; Sandra McGinnis; Jean Moore; Rainu Kaushal
Journal:  Health Serv Res       Date:  2013-12-21       Impact factor: 3.402

10.  Electronic health record functionality needed to better support primary care.

Authors:  Alex H Krist; John W Beasley; Jesse C Crosson; David C Kibbe; Michael S Klinkman; Christoph U Lehmann; Chester H Fox; Jason M Mitchell; James W Mold; Wilson D Pace; Kevin A Peterson; Robert L Phillips; Robert Post; Jon Puro; Michael Raddock; Ray Simkus; Steven E Waldren
Journal:  J Am Med Inform Assoc       Date:  2014-01-15       Impact factor: 4.497

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