Literature DB >> 23650484

Predictors of success for electronic health record implementation in small physician practices.

J S Ancker, M P Singh, R Thomas, A Edwards, A Snyder, A Kashyap, R Kaushal.   

Abstract

BACKGROUND: The federal government is promoting adoption of electronic health records (EHRs) through financial incentives for EHR use and implementation support provided by regional extension centers. Small practices have been slow to adopt EHRs.
OBJECTIVES: Our objective was to measure time to EHR implementation and identify factors associated with successful implementation in small practices receiving financial incentives and implementation support. This study is unique in exploiting quantitative implementation time data collected prospectively as part of routine project management.
METHODS: This mixed-methods study includes interviews of key informants and a cohort study of 544 practices that had worked with the Primary Care Information Project (PCIP), a publicly funded organization that since 2007 has subsidized EHRs and provided implementation support similar to that supplied by the new regional extension centers. Data from a project management database were used for a cohort study to assess time to implementation and predictors of implementation success.
RESULTS: Four hundred and thirty practices (79%) implemented EHRs within the analysis period, with a median project time of 24.7 weeks (95% CI: 23.3 - 26.4). Factors associated with implementation success were: fewer providers, practice sites, and patients; fewer Medicaid and uninsured patients; having previous experience with scheduling software; enrolling in 2010 rather than earlier; and selecting an integrated EHR plus practice management product rather than two products. Interviews identified positive attitude toward EHRs, resources, and centralized leadership as additional practice-level predictors of success.
CONCLUSIONS: A local initiative similar to current federal programs successfully implemented EHRs in primary care practices by offsetting software costs and providing implementation assistance. Nevertheless, implementation success was affected by practice size and other characteristics, suggesting that the federal programs can reduce barriers to EHR implementation but may not eliminate them.

Entities:  

Keywords:  Electronic health records; ambulatory care/primary care; facilitators and barriers; implementation and deployment; mixed methods; quantitative methods

Mesh:

Year:  2013        PMID: 23650484      PMCID: PMC3644811          DOI: 10.4338/ACI-2012-09-RA-0033

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  26 in total

1.  Factors associated with difficult electronic health record implementation in office practice.

Authors:  Marshall Fleurant; Rachel Kell; Chelsea Jenter; Lynn A Volk; Fang Zhang; David W Bates; Steven R Simon
Journal:  J Am Med Inform Assoc       Date:  2012-01-16       Impact factor: 4.497

2.  Moving from good to great in ambulatory electronic health record implementation.

Authors:  Ann Scheck McAlearney; Paula H Song; Julie Robbins; Annemarie Hirsch; Maria Jorina; Nina Kowalczyk; Deena Chisolm
Journal:  J Healthc Qual       Date:  2010-09-20       Impact factor: 1.095

3.  Easing the adoption and use of electronic health records in small practices.

Authors:  Phyllis Torda; Esther S Han; Sarah Hudson Scholle
Journal:  Health Aff (Millwood)       Date:  2010-04       Impact factor: 6.301

4.  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

5.  A qualitative analysis of an electronic health record (EHR) implementation in an academic ambulatory setting.

Authors:  Kahyun Yoon-Flannery; Stephanie O Zandieh; Gilad J Kuperman; Daniel J Langsam; Daniel Hyman; Rainu Kaushal
Journal:  Inform Prim Care       Date:  2008

6.  Perspectives for medical informatics. Reusing the electronic medical record for clinical research.

Authors:  H U Prokosch; T Ganslandt
Journal:  Methods Inf Med       Date:  2009       Impact factor: 2.176

7.  Electronic health records in small physician practices: availability, use, and perceived benefits.

Authors:  Sowmya R Rao; Catherine M Desroches; Karen Donelan; Eric G Campbell; Paola D Miralles; Ashish K Jha
Journal:  J Am Med Inform Assoc       Date:  2011-05-01       Impact factor: 4.497

8.  A partnership model for implementing electronic health records in resource-limited primary care settings: experiences from two nurse-managed health centers.

Authors:  Patricia Dennehy; Mary P White; Andrew Hamilton; Joanne M Pohl; Clare Tanner; Tiffiani J Onifade; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2011-08-09       Impact factor: 4.497

9.  Electronic health records: just around the corner? Or over the cliff?

Authors:  Richard J Baron; Elizabeth L Fabens; Melissa Schiffman; Erica Wolf
Journal:  Ann Intern Med       Date:  2005-08-02       Impact factor: 25.391

10.  Primary care physicians' experiences with electronic medical records: implementation experience in community, urban, hospital, and academic family medicine.

Authors:  Dave Ludwick; Donna Manca; John Doucette
Journal:  Can Fam Physician       Date:  2010-01       Impact factor: 3.275

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  8 in total

1.  Electronic health records: what are the most important barriers?

Authors:  Haleh Ayatollahi; Nader Mirani; Hamid Haghani
Journal:  Perspect Health Inf Manag       Date:  2014-10-01

2.  Perceptions of healthcare professionals about the adoption and use of EHR in Gulf Cooperation Council countries: a systematic review.

Authors:  Bander Alanazi; Kerryn Butler-Henderson; Mohammed Alanazi
Journal:  BMJ Health Care Inform       Date:  2020-01

3.  Disparities in Primary Care EHR Adoption Rates.

Authors:  Dominic Mack; Shun Zhang; Megan Douglas; Charles Sow; Harry Strothers; George Rust
Journal:  J Health Care Poor Underserved       Date:  2016-02

4.  The effect of electronic health record implementation on community emergency department operational measures of performance.

Authors:  Michael J Ward; Adam B Landman; Karen Case; Jessica Berthelot; Randy L Pilgrim; Jesse M Pines
Journal:  Ann Emerg Med       Date:  2014-01-10       Impact factor: 5.721

5.  Diabetes and hypertension quality measurement in four safety-net sites: lessons learned after implementation of the same commercial electronic health record.

Authors:  R Benkert; P Dennehy; J White; A Hamilton; C Tanner; J M Pohl
Journal:  Appl Clin Inform       Date:  2014-08-20       Impact factor: 2.342

6.  Do provider attitudes about electronic health records predict future electronic health record use?

Authors:  Tara F Bishop; Mandy Smith Ryan; Colleen M McCullough; Sarah C Shih; Lawrence P Casalino; Andrew M Ryan
Journal:  Healthc (Amst)       Date:  2015-03

7.  Adoption of e-health technology by physicians: a scoping review.

Authors:  Chloe de Grood; Aida Raissi; Yoojin Kwon; Maria Jose Santana
Journal:  J Multidiscip Healthc       Date:  2016-08-01

8.  Adoption Factors of the Electronic Health Record: A Systematic Review.

Authors:  Clemens Scott Kruse; Krysta Kothman; Keshia Anerobi; Lillian Abanaka
Journal:  JMIR Med Inform       Date:  2016-06-01
  8 in total

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