Literature DB >> 22016672

Use of health information technology by office-based physicians: comparison of two contemporaneous public-use physician surveys.

Chenghui Li1.   

Abstract

This study exploited the unique opportunity to compare estimates of electronic health record (EHR) and specific health information technology (HIT) use for clinical activities by office-based physicians using data from two contemporaneous, nationally representative physician surveys: the 2008 National Ambulatory Medical Care Survey (NAMCS) and the 2008 Health Tracking Physician Survey (HTPS). Survey respondents included 4,117 physicians from the HTPS and 1,187 physicians from the NAMCS. We compared the survey designs and national estimates of EHR and specific HIT use for clinical activities in the two surveys and conducted multivariate analyses examining physician and practice characteristics associated with the adoption of "basic" or "fully functional" systems. The surveys asked nearly identical questions on EHR use. Questions on specific HIT use for clinical activities overlapped but with differences. National estimates of all-EHR use were similar (HTPS 24.31 percent, 95 percent confidence interval [CI]: 22.99-25.69 percent vs. NAMCS 27.24 percent, 95 percent CI: 23.53-31.29 percent), but partial EHR use (i.e., part paper and part electronic) was higher in the HTPS than in the NAMCS (23.93 percent, 95 percent CI: 22.61-25.30 percent vs. 18.40 percent, 95 percent CI: 15.62-21.54 percent in the NAMCS). Both surveys reported low use of "fully functional" systems (HTPS 7.84 percent, 95 percent CI: 7.03-8.73 percent vs. NAMCS 4.56 percent, 95 percent CI 3.09-6.68 percent), but the use of "basic" systems was much higher in the HTPS than in the NAMCS (22.29 percent vs. 11.16 percent). Using multivariate analyses, we found common physician or practice characteristics in the two surveys, although the magnitude of the estimated effects differed. In conclusion, use of a "fully functional" EHR system by office-based physicians was low in both surveys. It may be a daunting task for physicians, particularly those in small practices, to adopt and achieve "meaningful use" in the next two years.

Entities:  

Keywords:  electronic health records; health information technology; physician survey

Mesh:

Year:  2011        PMID: 22016672      PMCID: PMC3193511     

Source DB:  PubMed          Journal:  Perspect Health Inf Manag        ISSN: 1559-4122


  23 in total

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2.  Guide to using masked design variables to estimate standard errors in public use files of the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey.

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3.  EHR and other IT adoption among physicians: results of a large-scale statewide analysis.

Authors:  Nir Menachemi; Robert G Brooks
Journal:  J Healthc Inf Manag       Date:  2006

4.  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

5.  Which physicians have access to electronic prescribing and which ones end up using it?

Authors:  José A Pagán; William R Pratt; Jun Sun
Journal:  Health Policy       Date:  2008-08-19       Impact factor: 2.980

6.  Clinical information technologies and inpatient outcomes: a multiple hospital study.

Authors:  Ruben Amarasingham; Laura Plantinga; Marie Diener-West; Darrell J Gaskin; Neil R Powe
Journal:  Arch Intern Med       Date:  2009-01-26

7.  Electronic medical record use by office-based physicians and their practices: United States, 2006.

Authors:  Esther S Hing; Catharine W Burt; David A Woodwell
Journal:  Adv Data       Date:  2007-10-26

8.  Electronic health records in ambulatory care--a national survey of physicians.

Authors:  Catherine M DesRoches; Eric G Campbell; Sowmya R Rao; Karen Donelan; Timothy G Ferris; Ashish Jha; Rainu Kaushal; Douglas E Levy; Sara Rosenbaum; Alexandra E Shields; David Blumenthal
Journal:  N Engl J Med       Date:  2008-06-18       Impact factor: 91.245

9.  Access to electronic health records by care setting and provider type: perceptions of cancer care providers in Ontario, Canada.

Authors:  Margo C Orchard; Mark J Dobrow; Lawrence Paszat; Hedy Jiang; Patrick Brown
Journal:  BMC Med Inform Decis Mak       Date:  2009-08-10       Impact factor: 2.796

10.  Electronic health record components and the quality of care.

Authors:  Salomeh Keyhani; Paul L Hebert; Joseph S Ross; Alex Federman; Carolyn W Zhu; Albert L Siu
Journal:  Med Care       Date:  2008-12       Impact factor: 2.983

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  6 in total

1.  Physician specialty and variations in adoption of electronic health records.

Authors:  Z M Grinspan; S Banerjee; R Kaushal; L M Kern
Journal:  Appl Clin Inform       Date:  2013-05-22       Impact factor: 2.342

2.  Education Research: can my electronic health record teach me something?: A multi-institutional pilot study.

Authors:  Alon Seifan; Morgan Mandigo; Raymond Price; Steven Galetta; Ralph Jozefowicz; Amir Jaffer; Stephen Symes; Joseph Safdieh; Richard S Isaacson
Journal:  Neurology       Date:  2013-03-05       Impact factor: 9.910

3.  Meaningful Use of the Indian Health Service Electronic Health Record.

Authors:  Gina R Kruse; Howard Hays; E John Orav; Martha Palan; Thomas D Sequist
Journal:  Health Serv Res       Date:  2016-07-26       Impact factor: 3.402

Review 4.  Measuring Electronic Health Record Use in Primary Care: A Scoping Review.

Authors:  Michael Z Huang; Candace J Gibson; Amanda L Terry
Journal:  Appl Clin Inform       Date:  2018-01-10       Impact factor: 2.342

5.  Psychiatrists' Comfort Using Computers and Other Electronic Devices in Clinical Practice.

Authors:  Farifteh F Duffy; Laura J Fochtmann; Diana E Clarke; Keila Barber; Seung-Hee Hong; Joel Yager; Eve K Mościcki; Robert M Plovnick
Journal:  Psychiatr Q       Date:  2016-09

6.  Practice Facilitator Strategies for Addressing Electronic Health Record Data Challenges for Quality Improvement: EvidenceNOW.

Authors:  Jennifer R Hemler; Jennifer D Hall; Raja A Cholan; Benjamin F Crabtree; Laura J Damschroder; Leif I Solberg; Sarah S Ono; Deborah J Cohen
Journal:  J Am Board Fam Med       Date:  2018 May-Jun       Impact factor: 2.657

  6 in total

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