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Brief ReportBrief Report

Outcomes of A Virtual Practice-Tailored Medicare Annual Wellness Visit Intervention

Derjung M. Tarn, Wilson D. Pace, Chi-Hong Tseng, Elisabeth Callen, Natalia Y. Loskutova, Kurt C. Stange and Neil S. Wenger
The Journal of the American Board of Family Medicine May 2023, 36 (3) 501-509; DOI: https://doi.org/10.3122/jabfm.2022.220342R1
Derjung M. Tarn
From the Department of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (DMT); DARTNet Institute, Aurora, CO (WDP); Division of General Internal Medicine/Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (C-HT, NSW); American Academy of Family Physicians, Leawood, KS (EC, NYL); and Center for Community Health Integration and Department of Family Medicine & Community Health, Population & Quantitative Health Sciences, and Sociology, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
MD, PhD
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Wilson D. Pace
From the Department of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (DMT); DARTNet Institute, Aurora, CO (WDP); Division of General Internal Medicine/Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (C-HT, NSW); American Academy of Family Physicians, Leawood, KS (EC, NYL); and Center for Community Health Integration and Department of Family Medicine & Community Health, Population & Quantitative Health Sciences, and Sociology, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
MD
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Chi-Hong Tseng
From the Department of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (DMT); DARTNet Institute, Aurora, CO (WDP); Division of General Internal Medicine/Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (C-HT, NSW); American Academy of Family Physicians, Leawood, KS (EC, NYL); and Center for Community Health Integration and Department of Family Medicine & Community Health, Population & Quantitative Health Sciences, and Sociology, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
PhD
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Elisabeth Callen
From the Department of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (DMT); DARTNet Institute, Aurora, CO (WDP); Division of General Internal Medicine/Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (C-HT, NSW); American Academy of Family Physicians, Leawood, KS (EC, NYL); and Center for Community Health Integration and Department of Family Medicine & Community Health, Population & Quantitative Health Sciences, and Sociology, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
PhD
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Natalia Y. Loskutova
From the Department of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (DMT); DARTNet Institute, Aurora, CO (WDP); Division of General Internal Medicine/Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (C-HT, NSW); American Academy of Family Physicians, Leawood, KS (EC, NYL); and Center for Community Health Integration and Department of Family Medicine & Community Health, Population & Quantitative Health Sciences, and Sociology, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
MD, PhD
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Kurt C. Stange
From the Department of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (DMT); DARTNet Institute, Aurora, CO (WDP); Division of General Internal Medicine/Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (C-HT, NSW); American Academy of Family Physicians, Leawood, KS (EC, NYL); and Center for Community Health Integration and Department of Family Medicine & Community Health, Population & Quantitative Health Sciences, and Sociology, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
MD, PhD
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Neil S. Wenger
From the Department of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (DMT); DARTNet Institute, Aurora, CO (WDP); Division of General Internal Medicine/Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA (C-HT, NSW); American Academy of Family Physicians, Leawood, KS (EC, NYL); and Center for Community Health Integration and Department of Family Medicine & Community Health, Population & Quantitative Health Sciences, and Sociology, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
MD, MPH
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    Figure 1.

    Effect of practice-tailored medicare annual wellness visit (AWV) Intervention on rates of AWVs, overall and by practice site.

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    Table 1.
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    Table 2.

    Characteristics of Patients Eligible for AWVs at Baseline and 8 Months Post-Intervention Implementation, Overall and by AWV Completion in the past 12 Months

    Baseline8 Months Post-Implementation
    CharacteristicAll PatientsN = 1513AWV Not Completed, n = 1406AWV Completed, n = 107p-Value for comparison of those with and without AWVsAll Patients (n = 1167)AWV Not Completed, n = 537AWV Completed, n = 630p-Value for comparison of those with and without AWVs
    Age, mean (S.D.)*71.5 (11.3)71.3 (11.5)73.6 (8.1)0.0572.5 (11.1)71.0 (12.3)73.7 (9.8)0.001
    Gender, n (%)0.0050.81
    Women864 (57.1)789 (56.1)75 (70.1)648 (55.5)296 (55.1)353 (55.9)
    Men649 (42.9)617 (43.9)32 (29.9)519 (44.5)241 (44.9)278 (44.1)
    Race, n (%)†1.000.47
    White1101 (93.1)1014 (93.0)87 (93.5)867 (94.4)393 (95.2)474 (93.9)
    Non-White (Asian, Black, Hispanic, other)82 (6.9)76 (7.0)6 (6.5)51 (5.6)20 (4.8)31 (6.1)
    Type of Medicare insurance, n (%)*0.040.75
    Fee-for-service Medicare1344 (88.8)1256 (98.5)88 (37.0)1073 (91.9)492 (91.6)581 (92.2)
    Medicare Advantage169 (11.2)19 (1.5)150 (63.0)94 (8.1)45 (8.4)49 (7.8)
    Medicaid insurance, n (%)199 (13.2)189 (13.4)10 (9.3)0.30159 (13.6)84 (15.6)75 (11.9)0.07
    • Abbreviation: AWV, medicare annual wellness visit, S.D., standard deviation.

    • ↵* P < .01 for the comparison of patient characteristics at Baseline and 8-month post-implementation.

    • ↵† Race was unknown or declined by 330 (21.8%) patients at baseline and by 249 (21.3%) 8 months post-implementation.

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    Table 3.

    Preventive Health Services Completion Among Eligible Patients at Baseline and 8 Months Post-Intervention Implementation

    Preventive Health ServiceBaseline8 Months Post-Implementationp-Value for difference in % fulfillment
    Eligible Cohort, nFulfilled, n (%)Eligible Cohort, nFulfilled, n (%)
    Vaccinations
    Influenza1512840 (56.3)1166693 (59.6)0.032
    Herpes zoster (shingles)1431622 (43.5)1119530 (47.4)<0.001
    Pneumococcal (PPSV23)1149831 (72.3)1000744 (74.4)<0.001
    Tetanus (Td or Tdap)1512862 (57.0)1166662 (56.8)<0.001
    Cancer screening
    Colorectal cancer945324 (34.3)675222 (32.9)0.026
    Breast cancer screening (mammogram)517215 (41.6)340153 (45.0)0.777
    Cervical cancer screening*11664 (55.2)7546 (61.3)0.357
    PSA (prostate)**320204 (63.8)308174 (56.5)0.028
    Other screening
    Osteoporosis317120 (37.9)231103 (44.6)<0.001
    Hepatitis C1179275 (23.3)861249 (28.9)<0.001
    Alcohol misuse screening1492635 (42.6)1161696 (59.9)<0.001
    Depression screening1279661 (51.7)954649 (68.0)<0.001
    Tobacco use screening14981266 (84.5)1161926 (79.8)<0.001
    Advance care planning123497 (7.9)1026191 (18.6)<0.001
    Fulfillment of recommended preventive health services‡151347.5 (S.D. = 25.2)116753.8 (S.D. = 25.8)<0.001
    • ↵*% females aged 65 and younger who are up to date on cervical cancer screening (pap smear and/or HPV testing).

    • ↵**% males over age 70 (without prostate cancer, a previous elevated PSA in the past year, or a prescription for a 5-alpha reductase inhibitor) who received prostate specific antigen testing in the past year.

    • ↵‡% fulfillment of all recommended preventive health services listed in this table computed at the patient level [except for tetanus vaccination (since Medicare Part B does not routinely cover it) and PSA screening (a measure of overuse)] (maximum of n = 12 services).

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    Table 4.

    Preventive Health Services Completion Among Eligible Patients by Completion of Annual Wellness Visits (at Baseline and 8 Months Post-Intervention Implementation)

    Preventive Health ServiceBaseline8 Months Post-Implementation
    Completed AWV, % (n = 107)Did Not Complete AWV, % (n = 1406)p-ValueCompleted AWV, % (n = 630)Did Not Complete AWV, % (n = 537)p-Value
    Vaccinations
    Influenza55.155.90.24962.756.30.036
    Herpes zoster (shingles)60.042.2<0.00153.539.9<0.001
    Pneumococcal (PPSV23)85.171.20.00483.263.4<0.001
    Tetanus (Td or Tdap)74.855.7<0.00163.049.4<0.001
    Cancer screening
    Colorectal cancer22.235.10.03737.527.70.006
    Mammogram48.841.00.33149.539.50.065
    Pap smear100.054.00.11377.450.00.014
    PSA (prostate)71.463.40.54274.735.2<0.001
    Other screening
    Osteoporosis36.038.00.84354.533.60.001
    Hepatitis C24.123.30.85237.120.2<0.001
    Alcohol misuse screening90.738.8<0.00191.423.0<0.001
    Depression screening93.948.2<0.00197.533.8<0.001
    Tobacco use screening89.784.10.12286.471.9<0.001
    Advance care planning10.17.70.38827.47.5<0.001
    Fulfillment of recommended preventive health services*61.546.4<0.00165.739.7<0.001
    • Abbreviation: AWV.

    • ↵*% fulfillment of all recommended preventive health services listed in this table computed at the patient level [except for tetanus vaccination (since Medicare Part B does not routinely cover it) and PSA screening (a measure of overuse)] (maximum of n = 12 services).

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The Journal of the American Board of Family     Medicine: 36 (3)
The Journal of the American Board of Family Medicine
Vol. 36, Issue 3
May-June 2023
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Outcomes of A Virtual Practice-Tailored Medicare Annual Wellness Visit Intervention
Derjung M. Tarn, Wilson D. Pace, Chi-Hong Tseng, Elisabeth Callen, Natalia Y. Loskutova, Kurt C. Stange, Neil S. Wenger
The Journal of the American Board of Family Medicine May 2023, 36 (3) 501-509; DOI: 10.3122/jabfm.2022.220342R1

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Outcomes of A Virtual Practice-Tailored Medicare Annual Wellness Visit Intervention
Derjung M. Tarn, Wilson D. Pace, Chi-Hong Tseng, Elisabeth Callen, Natalia Y. Loskutova, Kurt C. Stange, Neil S. Wenger
The Journal of the American Board of Family Medicine May 2023, 36 (3) 501-509; DOI: 10.3122/jabfm.2022.220342R1
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