Literature DB >> 23371416

Variation in electronic health record adoption and readiness for meaningful use: 2008-2011.

Vaishali Patel1, Eric Jamoom, Chun-Ju Hsiao, Michael F Furukawa, Melinda Buntin.   

Abstract

BACKGROUND: Federal initiatives are underway that provide physicians with financial incentives for meaningful use (MU) of electronic health records (EHRs) and assistance to purchase and implement EHRs.
OBJECTIVE: We sought to examine readiness and interest in MU among primary care physicians and specialists, and identify factors that may affect their readiness to obtain MU incentives. DESIGN/PARTICIPANTS: We analyzed 4 years of data (2008-2011) from the National Ambulatory Medical Care Survey (NAMCS) Electronic Medical Record (EMR) Supplement, an annual cross-sectional nationally representative survey of non-federally employed office-based physicians. MAIN MEASURES: Survey-weighted EHR adoption rates, potential to meet selected MU criteria, and self-reported intention to apply for MU incentives. We also examined the association between physician and practice characteristics and readiness for MU. KEY
RESULTS: The overall sample consisted of 10,889 respondents, with weighted response rates of 62 % (2008); 74 % (2009); 66 % (2010); and 61 % (2011). Primary care physicians' adoption of EHRs with the potential to meet MU nearly doubled from 2009 to 2011 (18 % to 38 %, p<0.01), and was significantly higher than specialists (19 %) in 2011 (p<0.01). In 2011, half of physicians (52 %) expressed their intention to apply for MU incentives; this did not vary by specialty. Multivariate analyses report that EHR adoption was significantly higher in both 2010 and 2011 compared to 2009, and primary care physicians and physicians working in larger or multi-specialty practices or for HMOs were more likely to adopt EHRs with the potential to meet MU.
CONCLUSIONS: Physician EHR adoption rates increased in advance of MU incentive payments. Although interest in MU incentives did not vary by specialty, primary care physicians had significantly higher rates of adopting EHRs with the potential to meet MU. Addressing barriers to EHR adoption, which may vary by specialty, will be important to enhancing coordination of care.

Entities:  

Mesh:

Year:  2013        PMID: 23371416      PMCID: PMC3682025          DOI: 10.1007/s11606-012-2324-x

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  29 in total

1.  Patient-centered care and electronic health records: it's still about the relationship.

Authors:  William B Ventres; Richard M Frankel
Journal:  Fam Med       Date:  2010-05       Impact factor: 1.756

Review 2.  Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review.

Authors:  Rainu Kaushal; Kaveh G Shojania; David W Bates
Journal:  Arch Intern Med       Date:  2003-06-23

3.  The "meaningful use" regulation for electronic health records.

Authors:  David Blumenthal; Marilyn Tavenner
Journal:  N Engl J Med       Date:  2010-07-13       Impact factor: 91.245

4.  Health information technology: laying the infrastructure for national health reform.

Authors:  Melinda Beeuwkes Buntin; Sachin H Jain; David Blumenthal
Journal:  Health Aff (Millwood)       Date:  2010-06       Impact factor: 6.301

5.  The regional extension center program: helping physicians meaningfully use health information technology.

Authors:  Emily Maxson; Sachin Jain; Mat Kendall; Farzad Mostashari; David Blumenthal
Journal:  Ann Intern Med       Date:  2010-11-16       Impact factor: 25.391

6.  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

Review 7.  The benefits of health information technology: a review of the recent literature shows predominantly positive results.

Authors:  Melinda Beeuwkes Buntin; Matthew F Burke; Michael C Hoaglin; David Blumenthal
Journal:  Health Aff (Millwood)       Date:  2011-03       Impact factor: 6.301

8.  Electronic health record-based decision support to improve asthma care: a cluster-randomized trial.

Authors:  Louis M Bell; Robert Grundmeier; Russell Localio; Joseph Zorc; Alexander G Fiks; Xuemei Zhang; Tyra Bryant Stephens; Marguerite Swietlik; James P Guevara
Journal:  Pediatrics       Date:  2010-03-15       Impact factor: 7.124

9.  A nationwide survey of patient centered medical home demonstration projects.

Authors:  Asaf Bitton; Carina Martin; Bruce E Landon
Journal:  J Gen Intern Med       Date:  2010-06       Impact factor: 5.128

10.  The relationship between physician practice characteristics and physician adoption of electronic health records.

Authors:  James D Bramble; Kim A Galt; Mark V Siracuse; Amy A Abbott; Andjela Drincic; Karen A Paschal; Kevin T Fuji
Journal:  Health Care Manage Rev       Date:  2010 Jan-Mar
View more
  27 in total

1.  Geographic variation in ambulatory electronic health record adoption: implications for underserved communities.

Authors:  Jennifer King; Michael F Furukawa; Melinda B Buntin
Journal:  Health Serv Res       Date:  2013-06-26       Impact factor: 3.402

2.  Where are we on the diffusion curve? Trends and drivers of primary care physicians' use of health information technology.

Authors:  Anne-Marie Audet; David Squires; Michelle M Doty
Journal:  Health Serv Res       Date:  2013-12-21       Impact factor: 3.402

3.  Electronic medical records and physician stress in primary care: results from the MEMO Study.

Authors:  Stewart Babbott; Linda Baier Manwell; Roger Brown; Enid Montague; Eric Williams; Mark Schwartz; Erik Hess; Mark Linzer
Journal:  J Am Med Inform Assoc       Date:  2013-09-04       Impact factor: 4.497

4.  Convergent evolution of health information management and health informatics: a perspective on the future of information professionals in health care.

Authors:  C J Gibson; B E Dixon; K Abrams
Journal:  Appl Clin Inform       Date:  2015-03-18       Impact factor: 2.342

5.  Can structured EHR data support clinical coding? A data mining approach.

Authors:  José Carlos Ferrão; Mónica Duarte Oliveira; Filipe Janela; Henrique M G Martins; Daniel Gartner
Journal:  Health Syst (Basingstoke)       Date:  2020-03-01

6.  Capsule commentary on Victoroff et al., impact of electronic health records on malpractice claims in a sample of physician offices in Colorado: a retrospective cohort study.

Authors:  Jeffrey L Jackson
Journal:  J Gen Intern Med       Date:  2013-05       Impact factor: 5.128

7.  Getting back to basics.

Authors:  Richard L Kravitz; Mitchell D Feldman
Journal:  J Gen Intern Med       Date:  2013-07       Impact factor: 5.128

8.  Diffusion and Use of Tethered Personal Health Records in Primary Care.

Authors:  Taylor Pressler Vydra; Edward Cuaresma; Matthew Kretovics; Seuli Bose-Brill
Journal:  Perspect Health Inf Manag       Date:  2015-04-01

9.  EMR-Radiological Phenotypes in Diseases of the Optic Nerve and their Association with Visual Function.

Authors:  Shikha Chaganti; Jamie R Robinson; Camilo Bermudez; Thomas Lasko; Louise A Mawn; Bennett A Landman
Journal:  Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2017)       Date:  2017-09-09

10.  Overcoming the Challenges of Unstructured Data in Multisite, Electronic Medical Record-based Abstraction.

Authors:  Brock Polnaszek; Andrea Gilmore-Bykovskyi; Melissa Hovanes; Rachel Roiland; Patrick Ferguson; Roger Brown; Amy J H Kind
Journal:  Med Care       Date:  2016-10       Impact factor: 2.983

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.