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EditorialResearch Letter

Patient E-Message Character Limit Impact on Primary Care Clinician Burnout

Christopher R. Davis, Timothy D. Riley, Benjamin N. Fogel, Kathryn A. Risher, Katherine E. Shedlock, Makayla B. Lagerman, Terrah M. Keck-Kester and Matthew L. Silvis
The Journal of the American Board of Family Medicine January 2026, 39 (1) 158410; DOI: https://doi.org/10.3122/jabfm.2025.250229R1
Christopher R. Davis
1 Department of Community and Family Medicine Pennsylvania State University https://ror.org/04p491231
MD, MPH
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Timothy D. Riley
1 Department of Community and Family Medicine Pennsylvania State University https://ror.org/04p491231
MD
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Benjamin N. Fogel
2 Department of Pediatrics Pennsylvania State University https://ror.org/04p491231
MD, MPH
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Kathryn A. Risher
3 Department of Public Health Sciences Pennsylvania State University https://ror.org/04p491231
PhD, MHS
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Katherine E. Shedlock
2 Department of Pediatrics Pennsylvania State University https://ror.org/04p491231
MD
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Makayla B. Lagerman
1 Department of Community and Family Medicine Pennsylvania State University https://ror.org/04p491231
MD
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Terrah M. Keck-Kester
2 Department of Pediatrics Pennsylvania State University https://ror.org/04p491231
MD
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Matthew L. Silvis
4 Departments of Family and Community Medicine and Orthopedics and Rehabilitation Pennsylvania State University https://ror.org/04p491231
MD
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Article Figures & Data

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    Table 1. Sociodemographic Characteristics of Survey Respondents Pre-/Post-Implementation of Character Count Limit in June 2023.
    VariablesPre n = 81 (%)Post n = 72 (%)P-value*
    Sex0.47
    Female42 (52)36 (50)
    Male32 (40)33 (46)
    Other0 (0)0 (0)
    Prefer not to answer7 (9)3 (4)
    Race/ethnicity0.72
    Asian7 (9)3 (4)
    Black non-Hispanic1 (1)2 (3)
    Hispanic or Latino/a1 (1)2 (3)
    White non-Hispanic62 (77)57 (79)
    Prefer not to answer10 (12)8 (11)
    Age0.76
    Less than 200 (0)0 (0)
    20-297 (9)2 (3)
    30-3925 (31)26 (36)
    40-4920 (25)17 (24)
    50-5912 (15)10 (14)
    60-697 (9)8 (11)
    70+4 (5)2 (3)
    Prefer not to answer6 (7)7 (10)
    Department0.8
    Family Medicine71 (88)65 (90)
    Pediatrics10 (12)7 (10)
    Other0 (0)0 (0)
    Prefer not to answer0 (0)0 (0)
    Years in practice0.15
    Less than 5 years22 (27)11 (15)
    5-10 years12 (15)18 (25)
    11-20 years24 (30)21 (29)
    More than 20 years23 (28)20 (28)
    Prefer not to answer0 (0)2 (3)
    Provider role0.92
    Advanced practice clinician (nurse practitioner or physician assistant)17 (21)14 (19)
    Attending physician63 (78)58 (81)
    Other0 (0)0 (0)
    Prefer not to answer1 (1)0 (0)

    * P-value for chi-squared or Fisher’s exact test (Fisher’s exact used when cell size <5 for 20% or more of cells)

      • View popup
      Table 2. Comparison of Survey Responses Pre-/Post-Implementation of Character Count Limit in June 2023.
      Survey Items*Pre Mean (SE)Post Mean (SE)Difference (SE)P-value†
      Mini Z Items‡
      Job satisfaction3.88 (0.08)3.72 (0.11)-0.15 (0.14)0.28
      Job Stress3.64 (0.11)3.58 (0.1)-0.06 (0.15)0.69
      Burnout2.56 (0.09)2.58 (0.11)0.02 (0.14)0.91
      Control over my workload2.66 (0.1)2.71 (0.12)0.05 (0.16)0.76
      Documentation Time Sufficiency2.34 (0.12)2.38 (0.12)0.04 (0.17)0.81
      Work area chaos3.2 (0.11)3.26 (0.08)0.06 (0.14)0.65
      Alignment of Professional values with department leaders3.83 (0.09)3.67 (0.12)-0.16 (0.15)0.30
      Care team efficiency3.41 (0.1)3.51 (0.11)0.09 (0.15)0.53
      Time spent in EMR at home2.28 (0.14)2.2 (0.13)-0.07 (0.19)0.70
      Mini Z score27.79 (0.28)27.61 (0.38)-0.18 (0.47)0.71
      E-Message Burden Items§
      Less work to communicate with patients via patient e-messages∥ 3 (0.08)3 (0.09)0 (0.12)1.00
      Patient e-messages are too long∥ 3.28 (0.08)3.14 (0.08)-0.14 (0.11)0.20
      Patients send e-messages too frequently∥ 3.38 (0.07)3.33 (0.07)-0.04 (0.1)0.66
      Patient e-messages are too complex∥ 3.45 (0.07)3.3 (0.07)-0.15 (0.09)0.11
      Patient e-messages are a source of stress # 4.14 (0.08)3.91 (0.1)-0.23 (0.13)0.08
      Patient e-messages enhance my relationship with patients# 3.34 (0.09)3.36 (0.12)0.02 (0.15)0.87
      My work schedule leaves me enough time for my personal and/or family life# 2.79 (0.12)2.7 (0.12)-0.1 (0.17)0.56

      * The survey items were based on the Mini Z burnout inventory and other similar surveys.1,4,7,8

      † Mean Likert scale responses pre-/post- were compared using unadjusted linear regression.

      ‡ Higher Mini Z responses are more favorable. Mini Z items are based on a 5-point Likert scale.

      § Higher patient e-message responses indicate a higher level of agreement with the statement.

      ∥ Items are based on a 4-point Likert scale.

      # Items are based on a 5-point Likert scale.

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      The Journal of the American Board of Family     Medicine: 39 (1)
      The Journal of the American Board of Family Medicine
      Vol. 39, Issue 1
      1 Jul 2026
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      Patient E-Message Character Limit Impact on Primary Care Clinician Burnout
      Christopher R. Davis, Timothy D. Riley, Benjamin N. Fogel, Kathryn A. Risher, Katherine E. Shedlock, Makayla B. Lagerman, Terrah M. Keck-Kester, Matthew L. Silvis
      The Journal of the American Board of Family Medicine Jan 2026, 39 (1) 158410; DOI: 10.3122/jabfm.2025.250229R1

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      Patient E-Message Character Limit Impact on Primary Care Clinician Burnout
      Christopher R. Davis, Timothy D. Riley, Benjamin N. Fogel, Kathryn A. Risher, Katherine E. Shedlock, Makayla B. Lagerman, Terrah M. Keck-Kester, Matthew L. Silvis
      The Journal of the American Board of Family Medicine Jan 2026, 39 (1) 158410; DOI: 10.3122/jabfm.2025.250229R1
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