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Research ArticleOriginal Research

Do Medical Scribes Help Primary Care Providers Respond More Quickly to Out-of-Visit Tasks?

Leah Zallman, Wayne Altman, Lendy Chu, Sharon Touw, Karissa Rajagopal, Steven Dolat and Assaad Sayah
The Journal of the American Board of Family Medicine January 2021, 34 (1) 70-77; DOI: https://doi.org/10.3122/jabfm.2021.01.200330
Leah Zallman
From the Institute for Community Health, Malden, MA (LZ, LC, ST); Cambridge Health Alliance, Cambridge, MA (LZ, SD, AS); Harvard Medical School, Boston, MA (LZ, AS); Tufts University School of Medicine, Boston, MA (WA); University of New England, Biddeford, ME (KR).
MD, MPH
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Wayne Altman
From the Institute for Community Health, Malden, MA (LZ, LC, ST); Cambridge Health Alliance, Cambridge, MA (LZ, SD, AS); Harvard Medical School, Boston, MA (LZ, AS); Tufts University School of Medicine, Boston, MA (WA); University of New England, Biddeford, ME (KR).
MD, FAAFP
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Lendy Chu
From the Institute for Community Health, Malden, MA (LZ, LC, ST); Cambridge Health Alliance, Cambridge, MA (LZ, SD, AS); Harvard Medical School, Boston, MA (LZ, AS); Tufts University School of Medicine, Boston, MA (WA); University of New England, Biddeford, ME (KR).
MPH
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Sharon Touw
From the Institute for Community Health, Malden, MA (LZ, LC, ST); Cambridge Health Alliance, Cambridge, MA (LZ, SD, AS); Harvard Medical School, Boston, MA (LZ, AS); Tufts University School of Medicine, Boston, MA (WA); University of New England, Biddeford, ME (KR).
MPH
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Karissa Rajagopal
From the Institute for Community Health, Malden, MA (LZ, LC, ST); Cambridge Health Alliance, Cambridge, MA (LZ, SD, AS); Harvard Medical School, Boston, MA (LZ, AS); Tufts University School of Medicine, Boston, MA (WA); University of New England, Biddeford, ME (KR).
BA
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Steven Dolat
From the Institute for Community Health, Malden, MA (LZ, LC, ST); Cambridge Health Alliance, Cambridge, MA (LZ, SD, AS); Harvard Medical School, Boston, MA (LZ, AS); Tufts University School of Medicine, Boston, MA (WA); University of New England, Biddeford, ME (KR).
MBA
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Assaad Sayah
From the Institute for Community Health, Malden, MA (LZ, LC, ST); Cambridge Health Alliance, Cambridge, MA (LZ, SD, AS); Harvard Medical School, Boston, MA (LZ, AS); Tufts University School of Medicine, Boston, MA (WA); University of New England, Biddeford, ME (KR).
MD
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  • Article
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Article Figures & Data

Tables

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    Table 1.

    Patient Demographics of Tasks Among Visits to Scribed and Nonscribed Providers Before and After Scribe Implementation

    Tasks of Scribed ProvidersTasks of Nonscribed Providers
    PreN = 14,206PostN = 13,439P-ValuePreN = 217,481PostN = 227,285P-Value
    N%N%N%N%
    Patient Demographics
     Female955968.69892966.47< .000113290961.9714153162.31.018
     Male435731.31450433.538157938.038560537.69
    Age (years)    .25    < .0001
     < 20238917.17238617.76 2530711.802669611.75 
     21 to 54758454.50715953.29 10625049.5411493050.60 
     55 to 64213415.33210015.63 3856217.984055317.85 
     ≥ 65180913.00178813.31 4436920.694495719.79 
    Language of care    .54    .058
     English1078277.591037377.28 15869474.0516855874.30 
     Non-English311422.41305022.72 5560225.955829325.70 
    Race/ethnicity    .0024    .0004
     Black201614.49187613.97 3206714.953380614.88 
     Hispanic203714.64216816.14 3452316.103632315.99 
     White629145.21608445.29 9654645.0110139144.64 
     Other357225.67330524.60 5135223.945561624.49 
    Patient complexity          
     Complex care management180113.01156911.91.00642567912.05217229.73< .0001
     In-patient hospital admission (≥ 1)13829.9810908.28< .00012263810.62179428.04< .0001
    • View popup
    Table 2.

    Time to Task Response (in Hours) Among Scribed and Nonscribed Providers Before and After Scribe Implementation*

    Patient Message N = 74,865Results N = 219,386Prescription Request N = 178,160
    NMeanSDP-ValueNMeanSDP-ValueNMeanSDP-Value
    Scribed providers (n = 5)
     Pre25255.860.1852525.430.2164292.200.13
     Post25896.970.20.6047165.670.20.3961342.240.14.62
    Nonscribed providers (n = 74)
     Pre327374.600.161039877.560.22807573.040.12
     Post370144.440.16.0341054317.670.22.17848403.060.12.58
    • ↵* All comparisons conducted using a t-test.

    • SD, standard deviation.

    • View popup
    Table 3.

    Unadjusted and Adjusted Models Comparing Change in Time to completion for Out-of-Visit Tasks Among Scribed and Nonscribed Providers Before and After Scribe Implementation

     Patient MessageN = 74,865ResultsN = 219,386Prescription RequestN = 178,160
    EstimateSEP-ValueEstimateSEP-ValueEstimateSEP-Value
    Unadjusted models
     Period*Scribed1.061.10.521.021.06.791.021.04.59
    Adjusted models*
    Patient messageN = 73,443ResultsN = 214,708Prescription RequestN = 171,506
     Period*Scribed1.091.10.341.021.06.721.061.04.19
    • ↵Period*scribed reflects the interaction between scribed status and period (pre to post implementation), isolating the impact of scribes after implementation compared to before implementation.

    • * Controlling for provider characteristics (gender, race, panel size, percent full time equivalent in clinical care), patient demographics (age, gender, race/ethnicity), and patient complexity (complex care management program enrollment and at least 1 inpatient admission).

    • SE, standard error.

  • Appendix Table 1. Characteristics of Scribed and Nonscribed Providers

    ScribedN = 5NonscribedN = 74P-Value
    N%N%
    Female5100.0%5168.9%.1387
    Race/ethnicity.1774
     Asian240.0%810.8%
     Black120.0%68.1%
     Hispanic/Latino00.0%11.4%
     White240.0%5979.7%
    Provider type.5077
     NP00.0%68.1%
     MD5100.0%6891.9%
    Specialty.7277
     Adult240.0%3344.6%
     Family120.0%2432.4%
     Dual family and adult00.0%22.7%
     Pediatrics120.0%1114.9%
     Adult/pediatrics120.0%45.4%
    Out-patient clinical FTE.2719
     1 FTE480.0%3344.6%
     0.75 to < 1 FTE120.0%2533.8%
     < 0.75 FTE00.0%1621.6%
    Training response year.2302
     Mean (SD)2008 (7)2001 (12)
     Median (range)20102004
    CHA tenure start.2952
     Mean (SD)2010 (6)2006 (8)
     Median (range)20122007.5
    • CHA, Cambridge Health Alliance; FTE, full-time equivalent; SD, standard deviation; NP, nurse practitioner; MD, doctor of medicine.

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The Journal of the American Board of Family     Medicine: 34 (1)
The Journal of the American Board of Family Medicine
Vol. 34, Issue 1
January/February 2021
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Do Medical Scribes Help Primary Care Providers Respond More Quickly to Out-of-Visit Tasks?
Leah Zallman, Wayne Altman, Lendy Chu, Sharon Touw, Karissa Rajagopal, Steven Dolat, Assaad Sayah
The Journal of the American Board of Family Medicine Jan 2021, 34 (1) 70-77; DOI: 10.3122/jabfm.2021.01.200330

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Do Medical Scribes Help Primary Care Providers Respond More Quickly to Out-of-Visit Tasks?
Leah Zallman, Wayne Altman, Lendy Chu, Sharon Touw, Karissa Rajagopal, Steven Dolat, Assaad Sayah
The Journal of the American Board of Family Medicine Jan 2021, 34 (1) 70-77; DOI: 10.3122/jabfm.2021.01.200330
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