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Research ArticleOriginal Research

The Disproportionate Impact of Primary Care Disruption and Telehealth Utilization During COVID-19

Zachary J. Morgan, Andrew W. Bazemore, Lars E. Peterson, Robert L. Phillips and Mingliang Dai
The Annals of Family Medicine July 2024, 22 (4) 294-300; DOI: https://doi.org/10.1370/afm.3134
Zachary J. Morgan
1American Board of Family Medicine, Lexington, Kentucky
MS
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  • For correspondence: zmorgan@theabfm.org
Andrew W. Bazemore
1American Board of Family Medicine, Lexington, Kentucky
2The Center for Professionalism and Value in Health Care, Washington, DC
MD, MPH
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Lars E. Peterson
1American Board of Family Medicine, Lexington, Kentucky
3Department of Family and Community Medicine, University of Kentucky, Lexington, Kentucky
MD, PhD
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Robert L. Phillips
1American Board of Family Medicine, Lexington, Kentucky
2The Center for Professionalism and Value in Health Care, Washington, DC
MD, MSPH
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Mingliang Dai
1American Board of Family Medicine, Lexington, Kentucky
PhD
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    Figure 1.

    Distribution of practice-level visit volume changes and TCR relative to prepandemic levels (n = 408), March 15, 2020 to March 14, 2021.

    TCR = telehealth conversion ratio.

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    Figure 2.

    Trends in 7-day moving average of visit volume changes and TCR.

    TCR = telehealth conversion ratio.

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    Table 1.

    Visit Volume Changes and TCR by Patient Characteristic Relative to Prepandemic Levels, March 15, 2020 to March 14, 2021

    No. of PatientsΔ Total Visits, % (95% CI)Δ In-Person, % (95% CI)TCR, % (95% CI)
    Total1,652,871−7.4 (−9.6 to −5.3)−17.0 (−19.7 to −14.3)9.8 (8.3 to 11.4)
    Age, y (n = 1,639,831)
        <18   205,999−24.0 (−26.5 to −21.3)a−30.5 (−34.8 to −26.1)a6.5 (4.0 to 9.4)a
        18-29   195,194−1.6 (−6.6 to 3.5)a−11.7 (−17.7 to −5.8)a10.3 (8.5 to 12.5)a
        30-49   380,584−1.2 (−3.4 to 0.9)a−13.2 (−16.3 to −10.3)a12.3 (10.2 to 14.6)a
        50-64   396,070−3.3 (−5.3 to −1.1)a−13.8 (−16.4 to −11.1)a10.8 (9.0 to 12.8)a
        ≥65   461,984−9.5 (−11.7 to −7.0)a−18.1 (−20.8 to −15.1)a8.9 (7.4 to 10.7)a
    Gender (n = 1,638,561)
        Female   926,585−6.8 (−9.1 to −4.5)a−17.0 (−20.0 to −14.0)10.5 (8.9 to 12.3)a
        Male   711,976−8.5 (−10.5 to −6.4)a−17.1 (−19.7 to −14.6)8.9 (7.5 to 10.5)a
    Race (n = 1,415,650)
        Asian    29,629−10.6 (−13.3 to −7.5)a−24.4 (−34.3 to −16.9)a14.0 (6.9 to 24.1)
        Black or African American   130,845−1.7 (−5.4 to 2.1)a−13.9 (−19.0 to −8.6)a12.4 (9.1 to 16.1)
        White1,233,648−7.6 (−9.7 to −5.4)a−16.8 (−19.4 to −14.1)a9.5 (8.0 to 11.1)
        Other    21,528−3.5 (−11.4 to 2.6)−11.3 (−19.8 to −3.6)a7.9 (4.2 to 13.3)
    Ethnicity (n = 1,365,581)
        Not Hispanic or Latino1,229,706−7.1 (−9.3 to −4.8)−16.1 (−18.7 to −13.3)a9.3 (7.8 to 10.9)a
        Hispanic or Latino   135,875−6.9 (−10.6 to −3.4)−23.4 (−28.8 to −17.8)a16.7 (11.5 to 22.4)a
    CCI (n = 1,639,033)
        0   958,112−7.2 (−9.7 to −4.7)a−15.7 (−18.8 to −12.7)a8.7 (7.3 to 10.2)a
        1   276,821−6.1 (−8.3 to −3.9)a−16.6 (−19.4 to −13.8)a10.7 (9.1 to 12.5)a
        2   115,060−5.8 (−8.1 to −3.3)a−15.9 (−18.8 to −12.8)a10.5 (8.7 to 12.5)a
        ≥3   289,040−9.4 (−11.7 to −7.1)a−19.8 (−22.7 to −16.9)a10.7 (8.8 to 12.8a
    RUCA (n = 1,627,662)
        Urban1,105,412−6.5 (−8.8 to −4.0)a−18.0 (−21.1 to −14.9)11.8 (9.8 to 13.9)a
        Large rural   274,207−10.1 (−13.2 to −7.0)a−16.3 (−20.3 to −12.4)6.4 (4.7 to 8.4)a
        Small rural   163,173−8.0 (−13.9 to −2.0)−13.8 (−19.9 to −7.2)6.2 (4.2 to 8.8)a
        Isolated    84,870−8.9 (−13.6 to −3.7)−14.6 (−20.0 to −8.5)6.1 (4.1 to 8.6)a
    SDI (n = 1,627,930)
        0-25   422,332−8.8 (−11.2 to −6.4)a−17.8 (−20.7 to −14.9)9.3 (7.7 to 11.1)a
        26-50   476,946−7.2 (−10.1 to −4.1)−15.7 (−19.0 to −12.2)a8.8 (7.3 to 10.5)a
        51-75   490,478−7.8 (−10.2 to −5.5)−16.0 (−19.0 to −13.2)a8.5 (6.9 to 10.3)a
        76-100   238,174−5.2 (−8.3 to −2.1)a−20.7 (−25.9 to −15.6)a15.7 (11.6 to 20.2)a
    • CCI = Charlson Comorbidity Index; RUCA = rural-urban commuting area; SDI = Social Deprivation Index; TCR = telehealth conversion ratio.

    • ↵a Value differs significantly (with 95% confidence) from ≥1 other category.

Additional Files

  • Figures
  • Tables
  • SUPPLEMENTAL TABLE IN PDF FILE BELOW

    Supplemental Table. Pairwise Differences in Visit Volume Changes by Patient Characteristics

    • 294-SupplementalTable.pdf -

      PDF file

  • VISUAL ABSTRACT IN PNG FILE BELOW

    • MorganTelehealthCovidVisualAbstract.png -

      PNG file

  • PLAIN-LANGUAGE SUMMARY OF ARTICLE

    Original Research 

    Pandemic’s Impact on Primary Care: Significant Drop in Visits and Uneven Telehealth Use Across Patient Groups

    Background and Goal:The COVID-19 pandemic likely worsened disparities in access to primary care. The goal of this study was to quantify the nationwide decline in primary care visits and the increase in telehealth utilization and explore whether certain groups of patients were disproportionately impacted.

    Study Approach: Researchers used primary care electronic health record data from the American Family Cohort— to examine  the percentage change in total visit volume, change in in-person visit volume, and telehealth conversion ratio (how much care was delivered via telehealth, defined as the number of pandemic telehealth visits divided by the total number of pre-pandemic visits). They then assessed whether these outcomes were associated with certain patient characteristics. The characteristics included age, gender, race, ethnicity, comorbidities (additional medical conditions that occur alongside a primary illness), rurality, and area-level social deprivation.

    Main Results: 

    • The primary sample included 1,652,871 patients with 8,833,434 visits from 408 practices and 2,328 clinicians.

    • During the pandemic, decreases of 7% in total and 17% in in-person visit volume were observed as well as a 10% telehealth conversion ratio. 

    • The largest declines in overall and in-person visit volume were observed in pediatric (-24% Total, -31% In-Person) and Asian patients (-11%, -24%) and for those with comorbidities (-9%, -20%).

    • The smallest declines in total visit volume were observed in 18 to 64 year-old patients (-2%) and Black or African American patients (-2%). 

    • Telehealth usage was highest among Hispanic patients (17%) and those living in urban areas (12%).

    Why It Matters: Decreases in primary care visit volume were partially offset by increasing telehealth use for all patients during the COVID-19 pandemic. However, the magnitude of these changes varied significantly by patient characteristics. These variations underscore the need for health care systems to enhance telehealth infrastructure and address barriers in rural and underserved areas to ensure equitable access to care, and the importance of maintaining continuous access to primary care. 

    Visual Abstract:

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The Annals of Family Medicine: 22 (4)
The Annals of Family Medicine: 22 (4)
Vol. 22, Issue 4
July/August 2024
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The Disproportionate Impact of Primary Care Disruption and Telehealth Utilization During COVID-19
Zachary J. Morgan, Andrew W. Bazemore, Lars E. Peterson, Robert L. Phillips, Mingliang Dai
The Annals of Family Medicine Jul 2024, 22 (4) 294-300; DOI: 10.1370/afm.3134

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The Disproportionate Impact of Primary Care Disruption and Telehealth Utilization During COVID-19
Zachary J. Morgan, Andrew W. Bazemore, Lars E. Peterson, Robert L. Phillips, Mingliang Dai
The Annals of Family Medicine Jul 2024, 22 (4) 294-300; DOI: 10.1370/afm.3134
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