Literature DB >> 23166335

Pediatricians' use of health information technology: a national survey.

Michael G Leu1, Karen G O'Connor, Rebecca Marshall, David T Price, Jonathan D Klein.   

Abstract

BACKGROUND AND
OBJECTIVE: There are limited national data on pediatric health information technology adoption rates. Our objective was to determine pediatricians' adoption rates of electronic health record systems (EHRs), barriers to adoption, and features of the systems adopted.
METHODS: A survey of 1620 randomly selected US members of the American Academy of Pediatrics from February to July 2009 addressed use of EHRs and barriers to adoption. Bivariate analysis and logistic regression were used to determine associations between EHR use and various physician and practice characteristics.
RESULTS: Six hundred forty-six postresidency pediatric clinicians practicing in office- or clinic-based settings responded (57.2%). Self-reported electronic medical record/EHR use was 54%/41%, but far fewer used systems that met the definition of a basic (25%) or fully functional (6%) EHR. Only 3% used a system that was fully functional and pediatric-supportive. Pediatricians practicing in multispecialty practices and those in hospital-based practices were more likely to use basic or fully functional EHRs than those in solo/2-physician practices. More than half of respondents reported financial barriers to implementing EHRs, and more than one-third were concerned about whether systems could meet their needs and whether an EHR would affect productivity.
CONCLUSIONS: Pediatric adoption of fully functional EHRs lags general adoption. Barriers to adoption include financial and productivity concerns, but pediatricians are also concerned about finding systems that meet their needs. Few pediatricians use a system that is pediatric-supportive. To help identify pediatric-supportive systems, EHR certification efforts should include these requirements.

Mesh:

Year:  2012        PMID: 23166335     DOI: 10.1542/peds.2012-0396

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  17 in total

1.  Structured Data Entry in the Electronic Medical Record: Perspectives of Pediatric Specialty Physicians and Surgeons.

Authors:  Ruth A Bush; Cynthia Kuelbs; Julie Ryu; Wen Jiang; George Chiang
Journal:  J Med Syst       Date:  2017-03-21       Impact factor: 4.460

Review 2.  Utilizing health information technology to improve vaccine communication and coverage.

Authors:  Melissa S Stockwell; Alexander G Fiks
Journal:  Hum Vaccin Immunother       Date:  2013-06-04       Impact factor: 3.452

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.  "Minimally invasive research?" Use of the electronic health record to facilitate research in pediatric urology.

Authors:  Vijaya M Vemulakonda; Ruth A Bush; Michael G Kahn
Journal:  J Pediatr Urol       Date:  2018-06-09       Impact factor: 1.830

5.  Practice-tailored facilitation to improve pediatric preventive care delivery: a randomized trial.

Authors:  Sharon B Meropol; Nicholas K Schiltz; Abdus Sattar; Kurt C Stange; Ann H Nevar; Christina Davey; Gerald A Ferretti; Diana E Howell; Robyn Strosaker; Pamela Vavrek; Samantha Bader; Mary C Ruhe; Leona Cuttler
Journal:  Pediatrics       Date:  2014-05-05       Impact factor: 7.124

6.  Experience with decision support system and comfort with topic predict clinicians' responses to alerts and reminders.

Authors:  Nerissa S Bauer; Aaron E Carroll; Chandan Saha; Stephen M Downs
Journal:  J Am Med Inform Assoc       Date:  2015-11-13       Impact factor: 4.497

7.  Provider Attitudes Regarding Vaccine Tracking Systems in Pediatric Practices.

Authors:  Sean T O'Leary; Laura P Hurley; Erin D Kennedy; Lori A Crane; Michaela Brtnikova; Mandy A Allison; Warren Williams; Brenda L Beaty; Andrea Jimenez-Zambrano; Allison Kempe
Journal:  Acad Pediatr       Date:  2015-10-29       Impact factor: 3.107

8.  Two-year longitudinal assessment of physicians' perceptions after replacement of a longstanding homegrown electronic health record: does a J-curve of satisfaction really exist?

Authors:  David A Hanauer; Greta L Branford; Grant Greenberg; Sharon Kileny; Mick P Couper; Kai Zheng; Sung W Choi
Journal:  J Am Med Inform Assoc       Date:  2017-04-01       Impact factor: 4.497

9.  Electronic Health Record Mid-Parental Height Auto-Calculator for Growth Assessment in Primary Care.

Authors:  Terri H Lipman; Pamela Cousounis; Robert W Grundmeier; James Massey; Andrew J Cucchiara; Virginia A Stallings; Adda Grimberg
Journal:  Clin Pediatr (Phila)       Date:  2015-10-27       Impact factor: 1.168

10.  Understanding the acceptability of a computer decision support system in pediatric primary care.

Authors:  Nerissa S Bauer; Aaron E Carroll; Stephen M Downs
Journal:  J Am Med Inform Assoc       Date:  2013-06-20       Impact factor: 4.497

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.