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Research ArticleOriginal Research

Improving Influenza Vaccination Rates of High-Risk Inner-City Children Over 2 Intervention Years

Richard K. Zimmerman, Alejandro Hoberman, Mary Patricia Nowalk, Chyongchiou J. Lin, David P. Greenberg, Stuart T. Weinberg, Feng Shou Ko and Dwight E. Fox
The Annals of Family Medicine November 2006, 4 (6) 534-540; DOI: https://doi.org/10.1370/afm.612
Richard K. Zimmerman
MD
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Alejandro Hoberman
MD
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Mary Patricia Nowalk
PhD, RD
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Chyongchiou J. Lin
PhD
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David P. Greenberg
MD
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Stuart T. Weinberg
MD
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Feng Shou Ko
MS
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Dwight E. Fox
DMD
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    Figure 1.

    Influenza vaccination rates of children aged 2 to 17 years with chronic medical conditions.

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    Table 1.

    Site Characteristics and Strategies Used to Improve Influenza Vaccination Rates

    Intervention Year 1Intervention Year 2
    SiteSite
    Characteristics1234512345
    Note: Interventions are categorized according to the scheme of the Task Force on Community Preventive Services.
    PR = pediatric residency; FB = faith-based; FM = family medicine residency; EVR = electronic vaccine registry; EMR = electronic medical record; manual = paper charts; ✓ = used at site; – = not used at site.
    * Changed from dictated notes entered into EMR to direct physician entry into new EMR.
    † Saturday.
    ‡ Weekdays during office hours.
    § Only for children who had previously received an influenza vaccine.
    Site
    TypePRFBFBFMFMPRFBFBFMFM
    Number of offices5211152111
    Immunization trackingEVREMRManualEMRManualEVREMRManualNewNew
    StrategyEMR*EMR
    Interventions to increase demand for vaccines
        Posters in waiting and examination rooms✓✓✓✓✓✓✓✓✓✓
        Letter or flier mailed to parent✓✓✓✓✓✓✓–✓–
        Telephone calls to parent✓–––✓✓––––
        Flier handed out at registration during influenza season–––––––––✓
    Interventions to enhance access to vaccination services
        Walk-in flu shots during office hours✓✓✓––✓✓✓––
        Special event flu shot clinics†–‡––†–‡––
    Physician or system-based interventions
        Clinician education✓✓✓✓✓✓✓✓✓✓
        Standing orders for nurses to vaccinate✓✓✓✓–✓✓✓✓–
        Physician educational reminder e-mails✓✓✓✓✓–––––
        Chart reminders: printed or hand-written or EMR pop-up screen or flag✓✓––––✓–§–
        Total number of interventions9775576543
        Change in vaccination rate over 2 years (%)–––––811.315.62813.3
    • View popup
    Table 2.

    Characteristics of Children Aged 2 to 17 Years at Intervention Sites by Study Year

    VariablePreintervention (n = 2,438) No. (%)Intervention Year 1 (n = 2,935) No. (%)Intervention Year 2 (n = 3,311) No. (%)P Value*
    * Using χ2 test.
    Sex.320
        Male1,334 (54.7)1,664 (56.7)1,844 (55.7)
        Female1,000 (41.0)1,171 (39.9)1,352 (40.8)
        Unknown104 (4.3)100 (3.4)115 (3.5)
    Race<.001
        Black1,107 (45.4)1,224 (41.7)1,227 (37.1)
        White/other312 (12.8)320 (10.9)385 (11.6)
        Unknown1,019 (41.8)1,391 (47.4)1,699 (51.3)
    Insurance type<.001
        Private305 (12.5)299 (10.2)430 (13.0)
        Medicaid1,177 (48.3)1,626 (55.4)1,863 (56.3)
        Self-pay59 (2.4)100 (3.4)100 (3.0)
        Not reported897 (36.8)910 (31.0)918 (27.7)
    Age, years<.001
        2–6774 (31.7)1,126 (38.4)1,121 (33.9)
        7–121,038 (42.6)937 (31.9)1,258 (38.0)
        13–17626 (25.7)872 (29.7)932 (28.1)
    • View popup
    Table 3.

    Proportion of Children Aged 2 to 17 Years at Intervention Sites Vaccinated Against Influenza by Intervention Year and by Sex, Race, and Age

    Vaccination Rate (%)
    VariablePreintervention (n = 2,438)Intervention Year 1 (n = 2,935)Intervention Year 2 (n = 3,311)P Value
    * Analysis of variance for the binary outcome.
    Preintervention year = 2001–2002; intervention year 1 = October 2002–February 2003; intervention year 2 = October 2003–February 2004.
    Sex
        Male10.712.018.4<.001
        Female11.414.918.8<.001
        Unknown14.610.022.6.015
    Race
        Black9.912.119.6<.001
        White/other17.918.125.7.001
        Unknown10.511.116.5<.001
    Age, years
        2–614.314.019.0.002
        7–1210.412.720.7<.001
        13–178.69.515.8<.001
    Type of practice
        Pediatric residency11.212.518.1<.001
        Family medicine residencies4.28.127.0.002
        Faith-based health centers16.718.231.0.020
    Total10.413.118.7<.001
    • View popup
    Table 4.

    Determinants of Vaccination by Logistic Regression Among Children Aged 2 to 17 Years in 2001–2004 (n = 6,837)

    VariableOdds Ratio (95% CI)P Value
    CI = confidence interval.
    Age (reference = 2–6 years)
        7–12 years0.9 (0.8 – 1.1).418
        13–17 years0.5 (0.4 – 0.6)<.001
    Race (reference = black)
        White/other1.5 (1.2 – 1.8)<.001
        Unknown0.8 (0.7 – 0.9)<.001
    Sex (reference = female)
        Male0.9 (0.8 – 0.99).047
        Unknown1.3 (0.9 – 1.8).130
    Insurance type (reference = Medicaid)
        Private1.4 (1.1 – 1.6).002
        Self-pay0.8 (0.5 – 1.1).196
        Not reported1.0 (0.8 – 1.2).977
    Year (reference = preintervention)
        Intervention year 11.9 (1.6 – 2.2)<.001
        Intervention year 22.8 (2.3 – 3.4)<.001
    Type of practice (reference = family medicine residency)
        Pediatric residency1.7 (1.1 – 2.5).013
        Faith-based health centers3.0 (1.9 – 5.0)<.001

Additional Files

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  • The Article in Brief

    Improving Influenza Vaccination of High-Risk Inner-City Children Over 2 Intervention Years

    By Richard K. Zimmerman, MD, and colleagues

    Background Rates of influenza (flu) vaccination among children with high-risk conditions, such as asthma, are low. This study set out to determine whether selecting from a menu of specially designed strategies (such as flu vaccines on a walk-in basis or reminder e-mails for clinicians) would help inner-city health centers raise vaccination rates among high-risk children.

    What This Study Found Over a 2-year period, a menu of tailored strategies results in a modest rise in flu vaccination rates for high-risk children aged 2 to 17 years. When offered a menu of options, inner-city health centers use a variety of strategies based on their specific needs and their office and patient cultures.

    Implications

    • In this study, immunization rates were lower in adolescents. Strategies particularly targeted to older children, such as after-school immunization clinics or providing flu vaccination when asthma medications are refilled, may be helpful.
    • Immunization rates may be further improved by refining the strategies offered and focusing on the culture of individual medical practices.
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The Annals of Family Medicine: 4 (6)
The Annals of Family Medicine: 4 (6)
Vol. 4, Issue 6
1 Nov 2006
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Improving Influenza Vaccination Rates of High-Risk Inner-City Children Over 2 Intervention Years
Richard K. Zimmerman, Alejandro Hoberman, Mary Patricia Nowalk, Chyongchiou J. Lin, David P. Greenberg, Stuart T. Weinberg, Feng Shou Ko, Dwight E. Fox
The Annals of Family Medicine Nov 2006, 4 (6) 534-540; DOI: 10.1370/afm.612

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Improving Influenza Vaccination Rates of High-Risk Inner-City Children Over 2 Intervention Years
Richard K. Zimmerman, Alejandro Hoberman, Mary Patricia Nowalk, Chyongchiou J. Lin, David P. Greenberg, Stuart T. Weinberg, Feng Shou Ko, Dwight E. Fox
The Annals of Family Medicine Nov 2006, 4 (6) 534-540; DOI: 10.1370/afm.612
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