Differences in Clinician Electronic Health Record Use Across Adult and Pediatric Primary Care Specialties | Electronic Health Records | JAMA Network Open | JAMA Network
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Figure 1.  Comparisons of Total and After-Hours Time Spent on Electronic Health Records (EHR) Per Day Among Primary Care Specialty Types
Comparisons of Total and After-Hours Time Spent on Electronic Health Records (EHR) Per Day Among Primary Care Specialty Types

Point estimates and 95% CIs calculated using ordinary least squares regressions that include controls for organization type, organization structure, number of employed physicians, number of annual visits, and mean daily patient volume per clinician, with robust SEs clustered at the organization level.

Figure 2.  Distribution of Time Spent on Electronic Health Records (EHR) by Primary Care Specialty Type
Distribution of Time Spent on Electronic Health Records (EHR) by Primary Care Specialty Type
1.
Friedberg  MW, Chen  PG, Van Busum  KR,  et al.  Factors affecting physician professional satisfaction and their implications for patient care, health systems, and health policy.   Rand Health Q. 2014;3(4):1.PubMedGoogle Scholar
2.
Rotenstein  LS, Holmgren  AJ, Downing  NL, Bates  DW.  Differences in total and after-hours electronic health record time across ambulatory specialties.   JAMA Intern Med. 2021;181(6):863-865. doi:10.1001/jamainternmed.2021.0256PubMedGoogle ScholarCrossref
3.
Holmgren  AJ, Downing  NL, Bates  DW,  et al.  Assessment of electronic health record use between US and non-US health systems.   JAMA Intern Med. 2021;181(2):251-259. doi:10.1001/jamainternmed.2020.7071PubMedGoogle ScholarCrossref
4.
Overhage  JM, Johnson  KB.  Pediatrician electronic health record time use for outpatient encounters.   Pediatrics. 2020;146(6):e20194017. doi:10.1542/peds.2019-4017PubMedGoogle Scholar
5.
Overhage  JM, McCallie  D  Jr.  Physician time spent using the electronic health record during outpatient encounters: a descriptive study.   Ann Intern Med. 2020;172(3):169-174. doi:10.7326/M18-3684PubMedGoogle ScholarCrossref
6.
Melnick  ER, Sinsky  CA, Krumholz  HM.  Implementing measurement science for electronic health record use.   JAMA. 2021. doi:10.1001/jama.2021.5487PubMedGoogle Scholar
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    1 Comment for this article
    Other Issues That Might be Affecting Results
    Gary Freed, MD, MPH | University of Michigan
    Pediatricians, especially those in primary care, are much more likely than internal medicine or family physicians to work part time. It is unclear from the methods section whether the authors took into account this differential when determining the per physician burden of the EHR. If not, this may well account for much of the differences the authors have found.
    CONFLICT OF INTEREST: None Reported
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    Research Letter
    Health Informatics
    July 9, 2021

    Differences in Clinician Electronic Health Record Use Across Adult and Pediatric Primary Care Specialties

    Author Affiliations
    • 1Brigham and Women’s Hospital, Boston, Massachusetts
    • 2Harvard Medical School, Boston, Massachusetts
    • 3Now with University of California, San Francisco
    • 4Center for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, California
    • 5University of California at San Diego, La Jolla
    • 6Harvard Chan School of Public Health, Boston, Massachusetts
    JAMA Netw Open. 2021;4(7):e2116375. doi:10.1001/jamanetworkopen.2021.16375
    Introduction

    Clinicians spend a large proportion of their days using the electronic health record (EHR). There are known negative associations between measures of EHR use and clinician experience.1 Primary care clinicians spend significantly more total and after-hours time in the EHR than medical specialty and surgical colleagues.2 However, little is known regarding variation in EHR use across primary care specialties, such as between adult and pediatric care. In this cross-sectional study, we compared EHR use across general pediatrics, general internal medicine, and family medicine clinicians.

    Methods

    The Stanford University institutional review board deemed this cross-sectional study exempt from approval and informed consent because it used deidentified data and was not considered human participant research. This report followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

    The sample included 349 US-based ambulatory health care organizations using the same EHR vendor (Epic Systems) between January and August 2019. The sample included all clinicians with scheduled outpatient appointments, including physicians and advance practice practitioners.

    Using EHR metadata,3 we measured total daily time actively using the EHR (time performing active tasks) and time spent after-hours per clinician (eMethods in the Supplement). EHR time was categorized into clinical review, notes, in-basket messages, and orders. We measured the mean number of messages received per clinician per day, overall and by source. We compared these metrics across general pediatric, general internal medicine, and family medicine clinicians. We used ordinary least squares regression to examine associations of total EHR time and after-hours EHR time with specialty, adjusting for organizational characteristics and mean daily patient volume per clinician, with robust SEs clustered at the organizational level. All analyses were conducted in Stata statistical software version 16.1 (StataCorp), with 2-sided α assessed at .05. Data were analyzed from January to March 2021.

    Results

    A total of 349 health systems were included in the analysis. Clinicians across these organizations had a mean (SD) of 12.9 (4.4) encounters per day among general pediatrics clinicians, 11.5 (3.6) encounters per day among general internal medicine clinicians, and 12.8 (3.4) encounters per day among family medicine clinicians. Mean (SD) daily total active EHR time was 94.7 (26.3) minutes among general pediatrics clinicians, 121.5 (34.4) minutes among general internal medicine clinicians, and 127.8 (26.6) minutes among family medicine clinicians. Mean (SD) daily after-hours active time was 23.6 (11.0) minutes among general pediatrics clinicians, 34.4 (13.8) minutes among general internal medicine clinicians, and 31.2 (10.5) minutes among family medicine clinicians. Differences in total and after-hours time persisted in multivariable regression (Figure 1).

    Pediatric clinicians spent approximately half as long on in-basket messages (mean [SD], 9.4 [4.1] minutes) as family medicine (mean [SD], 18.0 [6.0] minutes) and general medicine (mean [SD], 18.4 [7.2] minutes) clinicians, and two-thirds as much time on clinical review and orders (Figure 2). Time spent on notes was comparable among primary care specialties. Compared with family medicine and general medicine clinicians, pediatric clinicians received one-fifth as many prescription messages, one-third as many patient messages, one-half as many team messages, and less than one-half as many results messages (Figure 2).

    Discussion

    This cross-sectional study found that pediatric clinicians spent significantly less total and after-hours time actively using the EHR compared with general medicine and family medicine clinicians, even after adjusting for organizational characteristics and clinical volume. While previous studies have detailed how pediatricians and internists use the EHR,4,5 we found significant differences in EHR use across primary care specialties.

    Some differences may be attributed to the lesser medical complexity of pediatric patients. It is also possible that pediatricians are spending more time on clinical care outside of the EHR. However, it is notable that time spent on notes was similar across specialties, suggesting that documentation burdens may be driven by factors beyond patient complexity.

    Our study’s strengths include the availability of granular EHR metrics and data from a broad set of institutions. Limitations include a measure of EHR time that considers only active use and may differ from other measures used in the field,6 use of data from a single EHR vendor, and inability to adjust for panel or clinician characteristics.

    Our findings suggest that there was a disproportionate burden of EHR time for general internal medicine and family medicine clinicians compared with pediatric clinicians. While some differences may be influenced by differences in clinical complexity, our findings highlight opportunities to streamline diverse EHR functions, with particular focus on messaging functions, for adult primary care clinicians and to streamline documentation requirements for all primary care clinicians.

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    Article Information

    Accepted for Publication: May 6, 2021.

    Published: July 9, 2021. doi:10.1001/jamanetworkopen.2021.16375

    Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Rotenstein LS et al. JAMA Network Open.

    Corresponding Author: Lisa S. Rotenstein, MD, MBA, Brigham and Women’s Hospital, 75 Francis St, Boston, MA 02215 (LRotenstein@bwh.harvard.edu).

    Author Contributions: Dr Holmgren had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Drs Rotenstein and Holmgren contributed equally.

    Concept and design: Rotenstein, Holmgren, Bates.

    Acquisition, analysis, or interpretation of data: All authors.

    Drafting of the manuscript: Rotenstein, Holmgren.

    Critical revision of the manuscript for important intellectual content: All authors.

    Statistical analysis: Holmgren.

    Administrative, technical, or material support: Holmgren, Downing.

    Supervision: Rotenstein, Bates.

    Conflict of Interest Disclosures: Dr Rotenstein reported being an owner of CareZoom outside the submitted work. Dr Longhurst reported serving as an advisor for Doximity outside the submitted work. Dr Bates reported receiving grants from EarlySense and IBM Watson Health, personal fees from CDI Negev, and owning equity in ValeraHealth, Clew, MDClone, and AESOP outside the submitted work. No other disclosures were reported.

    References
    1.
    Friedberg  MW, Chen  PG, Van Busum  KR,  et al.  Factors affecting physician professional satisfaction and their implications for patient care, health systems, and health policy.   Rand Health Q. 2014;3(4):1.PubMedGoogle Scholar
    2.
    Rotenstein  LS, Holmgren  AJ, Downing  NL, Bates  DW.  Differences in total and after-hours electronic health record time across ambulatory specialties.   JAMA Intern Med. 2021;181(6):863-865. doi:10.1001/jamainternmed.2021.0256PubMedGoogle ScholarCrossref
    3.
    Holmgren  AJ, Downing  NL, Bates  DW,  et al.  Assessment of electronic health record use between US and non-US health systems.   JAMA Intern Med. 2021;181(2):251-259. doi:10.1001/jamainternmed.2020.7071PubMedGoogle ScholarCrossref
    4.
    Overhage  JM, Johnson  KB.  Pediatrician electronic health record time use for outpatient encounters.   Pediatrics. 2020;146(6):e20194017. doi:10.1542/peds.2019-4017PubMedGoogle Scholar
    5.
    Overhage  JM, McCallie  D  Jr.  Physician time spent using the electronic health record during outpatient encounters: a descriptive study.   Ann Intern Med. 2020;172(3):169-174. doi:10.7326/M18-3684PubMedGoogle ScholarCrossref
    6.
    Melnick  ER, Sinsky  CA, Krumholz  HM.  Implementing measurement science for electronic health record use.   JAMA. 2021. doi:10.1001/jama.2021.5487PubMedGoogle Scholar
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