Research ArticleOriginal ResearchA

Use of the Electronic Health Record During Clinical Encounters: An Experience Survey

Ellen C. Meltzer, Kelly S. Vorseth, Ivana T. Croghan, Yu-Hui H. Chang, Carolyn Mead-Harvey, Lori A. Johnston, Racquel D. Strader, Kathleen J. Yost, Lisa A. Marks and Kenneth G. Poole
The Annals of Family Medicine July 2022, 20 (4) 312-318; DOI: https://doi.org/10.1370/afm.2826

Article Figures & Data

Figures

  • Figure 1.
    Figure 1.

    Practitioner reports of 8 behaviors specific to use of the electronic health record.

    EHR = electronic health record.

    Note: A Likert scale was used to stratify answers for the EHR-specific communication skills. Like categories were combined for the graph (n = 43).

  • Figure 2.
    Figure 2.

    Patient reports of EHR-specific physician behaviors.

    EHR = electronic health record.

    Note: A Likert scale was used to stratify answers to the 8 EHR-specific communication skills. Like categories were combined for the graph (n = 452).

  • Figure 3.
    Figure 3.

    Practitioner and patient experiences with electronic health record use during clinical encounters.

    HCP = health care practitioner; P = patient.

  • Figure 4.
    Figure 4.

    Hours spent outside the office documenting in the electronic health record.

    EHR = electronic health record.

    Note: Data are shown as percentage of practitioners (n = 43). P value indicates trend for burnout in relation to working <2 out-of-office hours.

Tables

  • Table 1.

    Demographic Data for Practitioners

    CharacteristicNo. (%) (n = 43)
    Degree
      MD27 (64.3)
      NP10 (23.8)
      PA  5 (11.9)
      Missing  1
    What year did you graduate from medical/nursing/physician assistant school?
      Before 1990  7 (16.7)
      1990-1999  5 (11.9)
      2000-200920 (47.6)
      2010 or after10 (23.8)
      Missing  1
    Have you been involved in education or training on EHR-specific communication skills?
      No23 (53.5)
      Yes20 (46.5)
    What is your gender identity?
      Female27 (62.8)
      Male14 (32.6)
      Other or chose not to disclose  2 (4.7)
    Race
      White or Caucasian32 (74.4)
      Black or African American  2 (4.7)
      Hispanic or Latine  2 (4.7)
      Asian  2 (4.7)
      Native Hawaiian or other Pacific Islander  0
      Other  2 (4.7)
      Chose not to disclose  3 (7.0)

    • EHR = electronic health record; MD = doctor of medicine; NP = nurse practitioner; PA = physician assistant.

    • Note: Percent values adjusted for missing data.

  • Table 2.

    Demographic Data for Patients

    CharacteristicNo. (%) (n = 452)
    Age, y
      18-24  8 (1.8)
      25-34  11 (2.5)
      35-44  16 (3.6)
      45-54  46 (10.5)
      55-64103 (23.4)
      65-74147 (33.4)
      75 or older109 (24.8)
      Missing  12
    Education
      Some high school but did not graduate    1 (0.2)
      High school graduate or General Educational Development certificate  34 (7.9)
      Some college or 2-year degree  99 (22.9)
      More than 4-year college degree299 (69.1)
      Missing  19
    Gender identity
      Female227 (51.7)
      Male211 (48.1)
      Other or chose not to disclose    1 (0.2)
      Missing  13
    Race
      White or Caucasian347 (83.0)
      Black or African American    5 (1.2)
      Hispanic or Latine  16 (3.8)
      Asian  19 (4.5)
      American Indian or Alaska Native    6 (1.4)
      Native Hawaiian or other Pacific Islander    1 (0.2)
      Multirace    7 (1.7)
      Chose not to disclose  17 (4.1)
      Missing  34
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