Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM on Bluesky
  • JABFM On Facebook
  • JABFM On Twitter
  • JABFM On YouTube
Research ArticleOriginal Research

Colorectal Cancer Screening: A Multicomponent Intervention to Increase Uptake in Patients Aged 45–49

Sean P. McClellan, Shreya Patel, Elizabeth Uy-Smith, Blake Gregory, John M. Neuhaus, Michael B. Potter and Ma Somsouk
The Journal of the American Board of Family Medicine July 2024, 37 (4) 660-670; DOI: https://doi.org/10.3122/jabfm.2023.230399R1
Sean P. McClellan
From the Department of Family and Community Medicine, University of California San Francisco, San Francisco, CA; Division of Gastroenterology, Zuckerberg San Francisco General Hospital, San Francisco, CA; San Francisco Health Network, San Francisco, CA; and Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shreya Patel
From the Department of Family and Community Medicine, University of California San Francisco, San Francisco, CA; Division of Gastroenterology, Zuckerberg San Francisco General Hospital, San Francisco, CA; San Francisco Health Network, San Francisco, CA; and Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elizabeth Uy-Smith
From the Department of Family and Community Medicine, University of California San Francisco, San Francisco, CA; Division of Gastroenterology, Zuckerberg San Francisco General Hospital, San Francisco, CA; San Francisco Health Network, San Francisco, CA; and Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Blake Gregory
From the Department of Family and Community Medicine, University of California San Francisco, San Francisco, CA; Division of Gastroenterology, Zuckerberg San Francisco General Hospital, San Francisco, CA; San Francisco Health Network, San Francisco, CA; and Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
John M. Neuhaus
From the Department of Family and Community Medicine, University of California San Francisco, San Francisco, CA; Division of Gastroenterology, Zuckerberg San Francisco General Hospital, San Francisco, CA; San Francisco Health Network, San Francisco, CA; and Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA.
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael B. Potter
From the Department of Family and Community Medicine, University of California San Francisco, San Francisco, CA; Division of Gastroenterology, Zuckerberg San Francisco General Hospital, San Francisco, CA; San Francisco Health Network, San Francisco, CA; and Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ma Somsouk
From the Department of Family and Community Medicine, University of California San Francisco, San Francisco, CA; Division of Gastroenterology, Zuckerberg San Francisco General Hospital, San Francisco, CA; San Francisco Health Network, San Francisco, CA; and Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1.
    • Download figure
    • Open in new tab
    Figure 1.

    Participant flow. Abbreviation: FIT, fecal immunochemical test.

  • Figure 2.
    • Download figure
    • Open in new tab
    Figure 2.

    Percentage of patients up-to-date with colorectal cancer screening before and after intervention rollout. Includes all analyzed patients. Dashed lines represent pre- and post-intervention regression lines for the percentage of patients aged 45 to 49 up-to-date with screening. Solid lines represent pre- and post-intervention regression lines for the percentage of patients aged 51 to 55 up-to-date with screening. The vertical dotted line represents the date of intervention rollout.

  • Figure 3.
    • Download figure
    • Open in new tab
    Figure 3.

    Thirty-day Fecal Immunochemical Test (FIT) completion before and after intervention rollout. Excludes patients who received mailed FIT. Dashed lines represent pre- and post-intervention regression lines for 30-day FIT completion for patients aged 45 to 49. Solid lines represent pre- and post-intervention regression lines for 30-day FIT completion for patients aged 51 to 55. The vertical dotted line represents the date of intervention rollout.

Tables

  • Figures
    • View popup
    Table 1.

    Patient Characteristics at Time of Intervention Rollout, by Age Group

    45–49 (n = 3,873)51–55 (n = 3,934)
    Age (years)
     Mean (S.D.)47.0 (1.4)52.5 (1.1)
    Gender
     Woman1,922 (48.9)1,983 (51.2)
     Man2,010 (51.1)1,887 (48.7)
     Other2 (0.1)3 (0.1)
    Race/ethnicity
     Asian899 (22.9)1,150 (29.7)
     Black or African American515 (13.1)537 (13.9)
     Latino/a1,711 (43.5)1,301 (33.6)
     Other192 (4.9)177 (4.6)
     White582 (14.8)672 (17.4)
     Missing35 (0.9)36 (0.9)
    Preferred language
     Cantonese421 (10.7)650 (16.8)
     English1,947 (49.5)1,954 (50.5)
     Other219 (5.6)287 (7.4)
     Spanish1,346 (34.2)981 (25.3)
     Missing1 (0.0)1 (0.0)
    Insurance type
     Healthy San Franciscoa968 (24.6)404 (10.4)
     Healthy workersb710 (18.0)962 (24.8)
     Medicaid1,975 (50.2)2,126 (54.9)
     Medicare192 (4.9)314 (8.1)
     Other89 (2.3)67 (1.7)
    • aInsurance for low-income county residents not eligible for Medicaid.

    • bInsurance provided to some county employees.

    • Abbreviation: SD, standard deviation.

    • View popup
    Table 2.

    Number of Patients Aged 45–49 Due for Screening on Date of Intervention Rollout That Received Each Component of the Intervention

    Intervention Componentsn (%)
    Email only115 (4)
    Mailed FIT + Text663 (21)
    Mailed FIT + Text + Email817 (26)
    No outreach392 (12)
    Text + Email756 (24)
    Text only458 (14)
    • Abbreviation: FIT, fecal immunochemical test.

    • View popup
    Table 3.

    Effect of Interventions on the Percentage of Patients up-to-Date with Screening

    Age Group (Years)Intervention ComponentsaPre-Intervention SlopePost-Intervention SlopePre/Post-Intervention Slope DifferencePre/Post Intervention Slope Difference Accounting for Comparison Groupb
    45 to 49Mailed FIT + electronic outreach + standing order protocol0.4 (0.3, 0.6)2.8 (2.5, 3.1)2.3 (2.0, 2.7)1.7 (1.2, 2.2)
    Electronic outreach + standing order protocol0.9 (0.8, 1.1)2.0 (1.7, 2.2)1.0 (0.7, 1.3)0.3 (0.0, 0.7)
    51 to 55No new interventions−0.2 (−0.4, −0.1)0.4 (0.2, 0.7)0.7 (0.4, 0.9)NA
    • Estimated with segmented linear regression using ordinary least squares estimation.

    • aMailed FIT + electronic outreach + standing order protocol includes all patients regardless of intervention received. Electronic outreach + standing order protocol excludes patients who were mailed FIT.

    • bTo account for the possibility that the pre/post-intervention difference in the 45–49 age group might be affected by events other than the intervention rollout, we calculated estimates of the effect of the intervention by subtracting the pre/post-intervention difference observed in 51–55 age group from the pre/post-intervention difference observed in the 45–49 age group.

    • Abbreviation: FIT, fecal immunochemical test.

    • View popup
    Table 4.

    Effect of Standing Order Protocol and Electronic Outreach on 30-Day FIT Completion Rate, Excluding Patients Who Were Mailed Fecal Immunochemical Test (FIT)

    Age Group (Years)Intervention ComponentsaEstimate TypePre-InterventionPost-InterventionPre/Post-Intervention DifferencePre/Post Intervention Difference Accounting for Comparison Groupb
    45–49Standing Order Protocol + Electronic OutreachIntercept1.6 (1.0, 2.3)4.9 (4.2, 5.7)3.3 (2.3, 4.3)2.6 (1.2, 4.0)
    Slope0.1 (0.0, 0.2)−0.1 (−0.3, 0.1)−0.2 (−0.4, 0.0)−0.3 (−0.7, 0.0)
    Standing Order Protocol OnlyIntercept2.4 (1.6, 3.2)4.9 (4.0, 5.8)2.5 (1.3, 3.7)1.8 (0.1, 3.5)
    Slope0.1 (0.0, 0.2)−0.1 (−0.3, 0.2)−0.2 (−0.5, 0.0)−0.4 (−0.8, 0.0)
    51–55No New InterventionsIntercept3.4 (2.6, 4.2)4.0 (3.2, 4.9)0.7 (−0.3, 1.7)NA
    Slope0.0 (−0.1, 0.1)0.1 (−0.1, 0.4)0.1 (−0.1, 0.4)NA
    • Estimated using segmented linear regression with ordinary least squares estimation.

    • aStanding order protocol + electronic outreach excludes patients who were mailed FIT. Standing order protocol only excludes patients who were mailed FIT or received electronic outreach.

    • bTo account for the possibility that the pre/post-intervention difference in the 45–49 age group might be affected by events other than the intervention rollout, we calculated estimates of the effect of the intervention by subtracting the pre/post-intervention difference observed in 51–55 age group from the pre/post-intervention difference observed in the 45–49 age group.

    • View popup
    Table B1.

    Effect of Interventions on the Percentage-up-to-Date with Screening After Accounting for Autocorrelation, With and Without Adjustment for Changes in the Comparison Group

    Age Group (Years)Intervention ComponentsaPre/Post-Intervention Slope DifferencePre/Post-Intervention Slope Difference Accounting for Comparison Groupb
    45 to 49Mailed FIT + Standing order protocol + Electronic outreach2.5 (1.6, 3.4)2.0 (0.7, 3.2)
    Standing order protocol + Electronic Outreach1.1 (0.5, 1.8)0.6 (−0.4, 1.5)
    51 to 55No new interventions0.6 (−0.1, 1.2)NA
    • Estimated with segmented linear regression using generalized least squares estimation to account for autocorrelation.

    • aMost but not all patients aged 45-49 received electronic outreach. The population health team attempted electronic outreach to all patients aged 45–49 due for screening, but only 59% were sent email and 87% were sent text messages.

    • bTo estimate the adjusted effect we subtracted the effect in the comparison group from the unadjusted effect in the 45–49 year old age group using linear combinations of the coefficients of generalized least squares regression models.

    • Abbreviation: FIT, fecal immunochemical test.

    • View popup
    Table C1.

    Effect of Interventions on the Percentage of Patients up-to-Date with Screening, Subgroup Analysis by Gender

    Age Group (Years)Intervention ComponentsaGenderPre-Intervention SlopePost-Intervention SlopePre/Post-Intervention Slope DifferencePre/Post Intervention Slope Difference Accounting for Comparison Groupc
    45–49Mailed FIT + Electronic Outreach + Standing Order ProtocolFemale0.4 (0.2, 0.6)3.1 (2.8, 3.5)2.7 (2.3, 3.1)1.9 (1.3, 2.4)
    Male0.4 (0.3, 0.6)2.4 (2.1, 2.7)2.0 (1.7, 2.3)1.5 (1.1, 2.0)
    Electronic Outreach + Standing Order ProtocolFemale0.9 (0.8, 1.1)2.3 (2.0, 2.6)1.3 (1.0, 1.7)0.5 (0.1, 0.9)
    Male0.9 (0.8, 1.1)1.6 (1.3, 1.9)0.7 (0.4, 1.0)0.2 (−0.2, 0.7)
    51–55No New InterventionsFemale−0.2 (−0.4, 0.0)0.6 (0.3, 1.0)0.8 (0.4, 1.2)NA
    Male−0.3 (−0.4, −0.1)0.2 (−0.1, 0.5)0.5 (0.1, 0.8)NA
    • Estimated with segmented linear regression using ordinary least squares estimation.

    • aMailed FIT + electronic outreach + standing order protocol includes all patients regardless of intervention received. Electronic outreach + standing order protocol excludes patients who were mailed FIT.

    • bVariable levels with small numbers of observations were excluded.

    • cTo account for the possibility that the pre/post-intervention difference in the 45–49 age group might be affected by events other than the intervention rollout, we calculated estimates of the effect of the intervention by subtracting the pre/post-intervention difference observed in 51–55 age group from the pre/post-intervention difference observed in the 45–49 age group.

    • Abbreviation: FIT, fecal immunochemical test.

    • View popup
    Table C2.

    Effect of Interventions on the Percentage of Patients up-to-Date with Screening, Subgroup Analysis by Race/Ethnicity

    Age Group (Years)Intervention ComponentsaRace/EthnicitybPre-Intervention SlopePost-Intervention SlopePre/Post-Intervention Slope DifferencePre/Post Intervention Slope Difference Accounting for Comparison Groupc
    45–49Mailed FIT + Electronic Outreach + Standing Order ProtocolAsian0.7 (0.4, 1.0)2.7 (2.1, 3.2)2.0 (1.3, 2.6)1.3 (0.4, 2.2)
    Black or African American0.4 (0.2, 0.6)1.9 (1.6, 2.3)1.6 (1.1, 2.0)0.9 (0.3, 1.5)
    Latino/a0.3 (0.2, 0.5)3.4 (3.1, 3.7)3.1 (2.7, 3.4)2.3 (1.7, 2.8)
    White0.3 (0.1, 0.5)2.0 (1.7, 2.4)1.7 (1.3, 2.1)1.8 (1.3, 2.4)
    Electronic Outreach + Standing Order ProtocolAsian1.3 (1.1, 1.5)1.9 (1.5, 2.4)0.7 (0.2, 1.2)0.0 (−0.7, 0.8)
    Latino/a0.8 (0.6, 0.9)2.7 (2.4, 3.1)1.9 (1.6, 2.3)1.0 (0.5, 1.5)
    White0.6 (0.4, 0.8)1.5 (1.1, 1.9)0.9 (0.5, 1.3)1.0 (0.4, 1.7)
    51–55No New InterventionsAsian−0.2 (−0.5, 0.1)0.5 (0.0, 1.1)0.7 (0.1, 1.3)NA
    Black or African American−0.5 (−0.7, −0.3)0.1 (−0.2, 0.5)0.6 (0.2, 1.0)NA
    Latino/a−0.4 (−0.6, −0.3)0.4 (0.0, 0.7)0.8 (0.4, 1.2)NA
    White0.2 (0.0, 0.4)0.1 (−0.3, 0.4)−0.1 (−0.5, 0.3)NA
    • Estimated with segmented linear regression using ordinary least squares estimation.

    • aMailed FIT + electronic outreach + standing order protocol includes all patients regardless of intervention received. Electronic outreach + standing order protocol excludes patients who were mailed FIT.

    • bVariable levels with small numbers of observations were excluded. The analysis excluding patients mailed FIT was not completed for Black/African-American because network attempted to mail FIT to all of these patients.

    • cTo account for the possibility that the pre/post-intervention difference in the 45–49 age group might be affected by events other than the intervention rollout, we calculated estimates of the effect of the intervention by subtracting the pre/post-intervention difference observed in 51–55 age group from the pre/post-intervention difference observed in the 45–49 age group.

    • Abbreviation: FIT, fecal immunochemical test.

    • View popup
    Table C3.

    Effect of Interventions on the Percentage of Patients up-to-Date with Screening, Subgroup Analysis by Race/Ethnicity

    Age Group (Years)Intervention ComponentsaPreferred LanguagebPre-Intervention SlopePost-Intervention SlopePre/Post-Intervention Slope DifferencePre/Post Intervention Slope Difference Accounting for Comparison Groupc
    45–49Mailed FIT + Electronic Outreach + Standing Order ProtocolCantonese0.7 (0.3, 1.0)3.1 (2.5, 3.8)2.4 (1.7, 3.2)1.3 (0.3, 2.4)
    English0.4 (0.2, 0.5)2.0 (1.7, 2.3)1.6 (1.3, 1.9)1.4 (1.0, 1.8)
    Spanish0.4 (0.2, 0.6)3.6 (3.3, 4.0)3.3 (2.8, 3.7)2.0 (1.4, 2.6)
    Electronic Outreach + Standing Order ProtocolCantonese1.5 (1.3, 1.7)2.3 (1.8, 2.8)0.8 (0.2, 1.4)−0.4 (−1.2, 0.5)
    English0.9 (0.8, 1.0)1.1 (0.9, 1.4)0.2 (−0.1, 0.5)0.0 (−0.4, 0.4)
    Spanish0.9 (0.7, 1.0)2.9 (2.5, 3.3)2.0 (1.6, 2.5)0.7 (0.0, 1.3)
    51–55No New InterventionsCantonese−0.5 (−0.9, −0.1)0.6 (−0.1, 1.3)1.1 (0.4, 1.9)NA
    English0.0 (−0.2, 0.1)0.2 (−0.1, 0.5)0.2 (−0.1, 0.6)NA
    Spanish−0.8 (−1.0, −0.6)0.5 (0.1, 0.9)1.3 (0.8, 1.7)NA
    • Estimated with segmented linear regression using ordinary least squares estimation.

    • aMailed FIT + electronic outreach + standing order protocol includes all patients regardless of intervention received. Electronic outreach + standing order protocol excludes patients who received mailed FIT.

    • bVariable levels with small numbers of observations were excluded.

    • cTo account for the possibility that the pre/post-intervention difference in the 45–49 age group might be affected by events other than the intervention rollout, we calculated estimates of the effect of the intervention by subtracting the pre/post-intervention difference observed in 51–55 age group from the pre/post-intervention difference observed in the 45–49 age group.

    • Abbreviation: FIT, fecal immunochemical test.

    • View popup
    Table C4.

    Effect of Interventions on the Percentage of Patients up-to-Date with Screening, Subgroup Analysis by Insurance Type

    Age Group (Years)Intervention ComponentsaInsurance TypebPre-Intervention SlopePost-Intervention SlopePre/Post-Intervention Slope DifferencePre/Post Intervention Slope Difference Accounting for Comparison Groupc
    45–49Mailed FIT + Electronic Outreach + Standing Order ProtocolHealthy San Francisco0.6 (0.4, 0.8)3.5 (3.2, 3.9)2.9 (2.5, 3.3)1.2 (0.7, 1.8)
    Healthy Workers0.7 (0.4, 1.0)2.8 (2.2, 3.4)2.1 (1.4, 2.8)1.1 (0.2, 2.0)
    Medicaid0.3 (0.2, 0.4)2.3 (2.1, 2.6)2.0 (1.7, 2.3)1.7 (1.2, 2.1)
    Medicare0.0 (−0.1, 0.2)3.0 (2.7, 3.3)3.0 (2.7, 3.3)2.9 (2.4, 3.3)
    Electronic Outreach + Standing Order ProtocolHealthy San Francisco1.2 (1.0, 1.3)2.8 (2.4, 3.1)1.6 (1.2, 2.0)−0.2 (−0.8, 0.4)
    Healthy Workers1.4 (1.2, 1.7)2.3 (1.7, 2.8)0.8 (0.3, 1.4)−0.1 (−0.9, 0.7)
    Medicaid0.8 (0.7, 0.9)1.5 (1.2, 1.7)0.7 (0.4, 1.0)0.3 (−0.2, 0.7)
    Medicare0.3 (0.2, 0.5)1.7 (1.3, 2.1)1.4 (0.9, 1.8)1.3 (0.6, 1.9)
    51–55No New InterventionsHealthy San Francisco−0.7 (−0.9, −0.5)1.0 (0.6, 1.4)1.7 (1.3, 2.1)NA
    Healthy Workers−0.4 (−0.7, −0.1)0.6 (0.0, 1.2)1.0 (0.3, 1.7)NA
    Medicaid−0.2 (−0.3, 0.0)0.2 (−0.1, 0.5)0.4 (0.1, 0.7)NA
    Medicare0.2 (0.0, 0.3)0.3 (0.0, 0.6)0.1 (−0.2, 0.4)NA
    • Estimated with segmented linear regression using ordinary least squares estimation.

    • aMailed FIT + electronic outreach + standing order protocol includes all patients regardless of intervention received. Electronic outreach + standing order protocol excludes patients who received mailed FIT.

    • bVariable levels with small numbers of observations were excluded.

    • cTo account for the possibility that the pre/post-intervention difference in the 45–49 age group might be affected by events other than the intervention rollout, we calculated estimates of the effect of the intervention by subtracting the pre/post-intervention difference observed in 51–55 age group from the pre/post-intervention difference observed in the 45–49 age group.

    • Abbreviation: FIT, fecal immunochemical test.

    • View popup
    Table C5.

    Effect of Standing Order Protocol and Electronic Outreach on 30-Day FIT Completion Rate excluding Patients Who Were Mailed Fecal immunochemical Test (FIT), Subgroup Analysis by Gender

    Age Group (Years)Intervention ComponentsaGenderbEstimate TypePre-InterventionPost-InterventionPre/Post-Intervention DifferencePre/Post Intervention Difference Accounting for Comparison Groupc
    45–49Electronic Outreach + Standing Order ProtocolFemaleIntercept2.0 (1.1, 2.9)6.8 (5.8, 7.8)4.8 (3.5, 6.2)4.4 (2.5, 6.3)
    Slope0.1 (0.0, 0.2)−0.4 (−0.6, −0.1)−0.5 (−0.8, −0.2)−0.8 (−1.3, −0.4)
    MaleIntercept1.3 (0.7, 2.0)3.3 (2.5, 4.0)2.0 (1.0, 2.9)1.1 (−0.3, 2.4)
    Slope0.0 (0.0, 0.1)0.1 (−0.1, 0.3)0.0 (−0.2, 0.3)0.1 (−0.2, 0.4)
    FemaleIntercept3.4 (2.3, 4.5)6.3 (5.1, 7.5)2.9 (1.3, 4.5)2.5 (0.2, 4.8)
    Slope0.2 (0.1, 0.4)−0.3 (−0.6, 0.0)−0.5 (−0.9, −0.1)−0.9 (−1.4, −0.3)
    MaleIntercept1.8 (0.9, 2.7)3.8 (2.8, 4.7)2.0 (0.7, 3.3)1.1 (−0.8, 2.9)
    Slope0.1 (0.0, 0.2)0.1 (−0.2, 0.3)0.0 (−0.3, 0.3)0.0 (−0.4, 0.4)
    51-55Standing Order ProtocolFemaleIntercept4.0 (2.9, 5.1)4.4 (3.2, 5.6)0.4 (−1.2, 2.1)NA
    Slope−0.1 (−0.2, 0.1)0.3 (0.0, 0.6)0.4 (0.0, 0.7)NA
    MaleIntercept2.8 (1.9, 3.7)3.7 (2.7, 4.7)0.9 (−0.4, 2.2)NA
    Slope0.0 (−0.1, 0.1)−0.1 (−0.3, 0.2)0.0 (−0.3, 0.3)NA
    • Estimated using segmented linear regression with ordinary least squares estimation.

    • aStanding order protocol + electronic outreach excludes patients who were mailed FIT. Standing order protocol only excludes patients who were mailed FIT or received electronic outreach.

    • bVariable levels with small numbers of observations were excluded.

    • cTo account for the possibility that the pre/post-intervention difference in the 45–49 age group might be affected by events other than the intervention rollout, we calculated estimates of the effect of the intervention by subtracting the pre/post-intervention difference observed in 51–55 age group from the pre/post-intervention difference observed in the 45–49 age group.

    • View popup
    Table C6.

    Effect of Standing Order Protocol and Electronic Outreach on 30-Day Fecal immunochemical Test (FIT) Completion Rate excluding Patients Who Were Mailed Fecal immunochemical Test (FIT), Subgroup Analysis by Race/Ethnicity

    Age Group (Years)Intervention ComponentsaRace/EthnicitybEstimate TypePre-InterventionPost-InterventionPre/Post-Intervention DifferencePre/Post-Intervention Difference Accounting for Comparison Groupc
    45–49Electronic Outreach + Standing Order ProtocolAsianIntercept2.6 (1.3, 3.9)6.0 (4.6, 7.4)3.4 (1.5, 5.3)3.1 (0.5, 5.8)
    Slope0.1 (0.0, 0.3)−0.3 (−0.7, 0.1)−0.5 (−0.9, −0.1)−0.8 (−1.4, −0.2)
    Latino/aIntercept1.4 (0.3, 2.5)5.8 (4.6, 7.1)4.5 (2.8, 6.1)3.4 (1.1, 5.7)
    Slope0.0 (−0.1, 0.2)−0.1 (−0.4, 0.3)−0.1 (−0.4, 0.3)−0.2 (−0.7, 0.3)
    WhiteIntercept1.1 (0.3, 1.9)2.8 (1.9, 3.7)1.7 (0.5, 2.9)1.5 (−0.2, 3.2)
    Slope0.1 (0.0, 0.2)−0.1 (−0.4, 0.1)−0.2 (−0.4, 0.1)−0.2 (−0.6, 0.1)
    AsianIntercept5.8 (4.1, 7.4)5.0 (3.2, 6.9)−0.7 (−3.2, 1.7)−1.0 (−4.4, 2.5)
    Slope0.4 (0.2, 0.7)0.0 (−0.5, 0.5)−0.4 (−1.0, 0.1)−0.8 (−1.5, 0.0)
    Latino/aIntercept2.1 (0.7, 3.6)5.8 (4.2, 7.5)3.7 (1.5, 5.9)2.6 (−0.5, 5.7)
    Slope0.0 (−0.2, 0.2)−0.1 (−0.5, 0.4)−0.1 (−0.6, 0.4)−0.2 (−0.9, 0.5)
    WhiteIntercept1.2 (0.2, 2.3)5.1 (4.0, 6.2)3.9 (2.4, 5.4)3.7 (1.5, 5.8)
    Slope0.1 (0.0, 0.2)−0.5 (−0.8, −0.2)−0.6 (−0.9, −0.2)−0.6 (−1.1, −0.2)
    51–55Standing Order ProtocolAsianIntercept4.7 (3.0, 6.3)4.9 (3.1, 6.7)0.2 (−2.2, 2.7)NA
    Slope−0.1 (−0.3, 0.1)0.2 (−0.3, 0.7)0.3 (−0.2, 0.9)NA
    Latino/aIntercept4.1 (2.7, 5.6)5.2 (3.6, 6.8)1.1 (−1.1, 3.3)NA
    Slope0.0 (−0.2, 0.2)0.1 (−0.4, 0.5)0.1 (−0.4, 0.6)NA
    WhiteIntercept2.3 (1.3, 3.3)2.5 (1.4, 3.6)0.2 (−1.3, 1.7)NA
    Slope0.0 (−0.1, 0.1)0.1 (−0.2, 0.4)0.1 (−0.3, 0.4)NA
    • Estimated using segmented linear regression with ordinary least squares estimation.

    • aStanding order protocol + electronic outreach excludes patients who were mailed FIT. Standing order protocol only excludes patients who were mailed FIT or received electronic outreach.

    • bVariable levels with small numbers of observations were excluded. Not estimated for Black/African-American because network attempted to mail FIT to all of these patients.

    • cTo account for the possibility that the pre/post-intervention difference in the 45–49 age group might be affected by events other than the intervention rollout, we calculated estimates of the effect of the intervention by subtracting the pre/post-intervention difference observed in 51–55 age group from the pre/post-intervention difference observed in the 45–49 age group.

    • View popup
    Table C7.

    Effect of Standing Order Protocol and Electronic Outreach on 30-Day Fecal immunochemical Test (FIT) Completion Rate excluding Patients Who Were Mailed Fecal immunochemical Test (FIT), Subgroup Analysis by Preferred Language

    Age Group (Years)Intervention ComponentsaPreferred LanguagebEstimate TypePre-InterventionPost-InterventionPre/Post-Intervention DifferencePre/Post Intervention Difference Accounting for Comparison Groupc
    45–49Electronic Outreach + Standing Order ProtocolCantoneseIntercept4.9 (3.2, 6.6)6.4 (4.6, 8.3)1.5 (−1.0, 4.1)−1.1 (−4.7, 2.5)
    Slope0.4 (0.1, 0.6)0.0 (−0.6, 0.5)−0.4 (−1.0, 0.1)−0.8 (−1.6, 0.0)
    EnglishIntercept1.1 (0.4, 1.7)3.0 (2.3, 3.8)2.0 (1.0, 2.9)1.7 (0.3, 3.1)
    Slope0.0 (0.0, 0.1)−0.1 (−0.3, 0.1)−0.1 (−0.3, 0.1)−0.3 (−0.6, 0.1)
    SpanishIntercept1.5 (0.1, 2.9)6.6 (5.1, 8.1)5.1 (3.0, 7.1)3.8 (0.9, 6.7)
    Slope0.0 (−0.2, 0.2)0.0 (−0.5, 0.4)−0.1 (−0.5, 0.4)−0.1 (−0.8, 0.5)
    CantoneseIntercept11.9 (9.5, 14.4)5.7 (3.0, 8.4)−6.2 (−9.9, −2.6)−8.9 (−14.0, −3.7)
    Slope1.0 (0.7, 1.4)0.2 (−0.5, 1.0)−0.8 (−1.6, 0.0)−1.2 (−2.4, −0.1)
    EnglishIntercept1.1 (0.3, 1.8)2.6 (1.8, 3.4)1.5 (0.4, 2.6)1.2 (−0.3, 2.8)
    Slope0.1 (0.0, 0.2)0.1 (−0.1, 0.3)0.0 (−0.2, 0.3)−0.1 (−0.5, 0.2)
    SpanishIntercept2.6 (0.8, 4.3)7.5 (5.5, 9.4)4.9 (2.3, 7.5)3.6 (−0.1, 7.3)
    Slope0.1 (−0.2, 0.3)−0.3 (−0.8, 0.3)−0.3 (−0.9, 0.3)−0.4 (−1.2, 0.4)
    51–55Standing Order ProtocolCantoneseIntercept4.2 (1.8, 6.7)6.9 (4.2, 9.6)2.7 (−1.0, 6.3)NA
    Slope−0.3 (−0.7, 0.0)0.1 (−0.7, 0.8)0.4 (−0.4, 1.2)NA
    EnglishIntercept2.2 (1.4, 2.9)2.4 (1.6, 3.2)0.2 (−0.9, 1.3)NA
    Slope0.0 (−0.1, 0.1)0.1 (−0.1, 0.3)0.1 (−0.1, 0.4)NA
    SpanishIntercept5.0 (3.2, 6.8)6.3 (4.4, 8.3)1.3 (−1.3, 4.0)NA
    Slope0.0 (−0.2, 0.3)0.1 (−0.4, 0.6)0.1 (−0.5, 0.7)NA
    • Estimated using segmented linear regression with ordinary least squares estimation.

    • aStanding order protocol + electronic outreach excludes patients who were mailed FIT. Standing order protocol only excludes patients who were mailed FIT or received electronic outreach.

    • bVariable levels with small numbers of observations were excluded.

    • cTo account for the possibility that the pre/post-intervention difference in the 45–49 age group might be affected by events other than the intervention rollout, we calculated estimates of the effect of the intervention by subtracting the pre/post-intervention difference observed in 51–55 age group from the pre/post-intervention difference observed in the 45–49 age group.

    • View popup
    Table C8.

    Effect of Standing Order Protocol and Electronic Outreach on 30-Day Fecal immunochemical Test (FIT) Completion Rate excluding Patients Who Were Mailed FIT, Subgroup Analysis by Insurance Type

    Age Group (Years)Intervention ComponentsaInsurance TypebEstimate TypePre-InterventionPost-InterventionPre/Post-Intervention DifferencePre/Post Intervention Difference Accounting for Comparison Groupc
    45–49Electronic Outreach + Standing Order ProtocolHealthy San FranciscoIntercept1.6 (0.1, 3.0)6.9 (5.3, 8.6)5.4 (3.2, 7.6)4.0 (0.8, 7.1)
    Slope0.0 (−0.2, 0.2)−0.1 (−0.6, 0.3)−0.2 (−0.6, 0.3)−0.1 (−0.8, 0.6)
    Healthy WorkersIntercept3.5 (2.2, 4.8)6.4 (4.9, 7.8)2.8 (0.9, 4.8)1.2 (−1.6, 3.9)
    Slope0.2 (0.1, 0.4)−0.3 (−0.7, 0.1)−0.5 (−1.0, −0.1)−0.9 (−1.5, −0.3)
    MedicaidIntercept1.2 (0.4, 2.0)3.7 (2.8, 4.5)2.5 (1.3, 3.7)2.0 (0.4, 3.7)
    Slope0.0 (−0.1, 0.2)−0.1 (−0.3, 0.2)−0.1 (−0.4, 0.2)−0.2 (−0.6, 0.2)
    MedicareIntercept0.9 (−0.7, 2.5)2.8 (1.0, 4.6)1.9 (−0.5, 4.2)2.7 (−0.7, 6.1)
    Slope0.1 (−0.2, 0.3)0.3 (−0.2, 0.8)0.2 (−0.3, 0.7)−0.3 (−1.0, 0.5)
    Healthy San FranciscoIntercept2.0 (−0.4, 4.5)8.5 (5.8, 11.2)6.5 (2.9, 10.2)5.1 (−0.1, 10.3)
    Slope0.0 (−0.4, 0.3)−0.5 (−1.2, 0.3)−0.5 (−1.3, 0.4)−0.4 (−1.5, 0.8)
    Healthy WorkersIntercept7.8 (5.9, 9.7)4.0 (1.9, 6.1)−3.8 (−6.6, −1.0)−5.5 (−9.4, −1.5)
    Slope0.6 (0.4, 0.9)0.4 (−0.2, 0.9)−0.3 (−0.9, 0.4)−0.6 (−1.5, 0.3)
    MedicaidIntercept1.6 (0.7, 2.4)4.4 (3.5, 5.3)2.9 (1.6, 4.1)2.4 (0.7, 4.1)
    Slope0.1 (0.0, 0.2)−0.2 (−0.4, 0.1)−0.3 (−0.5, 0.0)−0.3 (−0.7, 0.0)
    MedicareIntercept0.6 (−1.7, 2.9)1.2 (−1.3, 3.7)0.6 (−2.8, 4.0)1.5 (−3.3, 6.2)
    Slope0.0 (−0.3, 0.3)0.7 (0.0, 1.4)0.7 (−0.1, 1.4)0.2 (−0.9, 1.3)
    51–55Standing Order ProtocolHealthy San FranciscoIntercept4.2 (1.8, 6.7)5.7 (3.0, 8.4)1.4 (−2.2, 5.1)NA
    Slope0.0 (−0.4, 0.3)−0.1 (−0.8, 0.7)−0.1 (−0.9, 0.7)NA
    Healthy WorkersIntercept4.0 (2.1, 5.9)5.7 (3.6, 7.7)1.7 (−1.1, 4.5)NA
    Slope−0.2 (−0.5, 0.0)0.1 (−0.4, 0.7)0.4 (−0.3, 1.0)NA
    MedicaidIntercept3.2 (2.4, 4.0)3.6 (2.7, 4.6)0.4 (−0.8, 1.7)NA
    Slope0.0 (−0.1, 0.1)0.1 (−0.2, 0.3)0.1 (−0.2, 0.4)NA
    MedicareIntercept2.1 (−0.2, 4.4)1.3 (−1.3, 3.8)−0.8 (−4.2, 2.6)NA
    Slope−0.1 (−0.4, 0.2)0.4 (−0.3, 1.1)0.5 (−0.3, 1.3)NA
    • Estimated using segmented linear regression with ordinary least squares estimation.

    • aStanding order protocol + electronic outreach excludes patients who were mailed FIT. Standing order protocol only excludes patients who were mailed FIT or received electronic outreach.

    • bVariable levels with small numbers of observations were excluded.

    • cTo account for the possibility that the pre/post intervention difference in the 45–49 age group might be affected by events other than the intervention rollout, we calculated estimates of the effect of the intervention by subtracting the pre/post-intervention difference observed in 51–55 age group from the pre/post-intervention difference observed in the 45–49 age group.

PreviousNext
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 37 (4)
The Journal of the American Board of Family Medicine
Vol. 37, Issue 4
July-August 2024
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Colorectal Cancer Screening: A Multicomponent Intervention to Increase Uptake in Patients Aged 45–49
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
2 + 14 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Colorectal Cancer Screening: A Multicomponent Intervention to Increase Uptake in Patients Aged 45–49
Sean P. McClellan, Shreya Patel, Elizabeth Uy-Smith, Blake Gregory, John M. Neuhaus, Michael B. Potter, Ma Somsouk
The Journal of the American Board of Family Medicine Jul 2024, 37 (4) 660-670; DOI: 10.3122/jabfm.2023.230399R1

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Colorectal Cancer Screening: A Multicomponent Intervention to Increase Uptake in Patients Aged 45–49
Sean P. McClellan, Shreya Patel, Elizabeth Uy-Smith, Blake Gregory, John M. Neuhaus, Michael B. Potter, Ma Somsouk
The Journal of the American Board of Family Medicine Jul 2024, 37 (4) 660-670; DOI: 10.3122/jabfm.2023.230399R1
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Methods
    • Results
    • Discussion
    • Appendix 1 – Regression Model
    • Appendix
    • Appendix 3 – Subgroup Analyses
    • Notes
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Artificial Intelligence and Family Medicine
  • Google Scholar

More in this TOC Section

  • Associations Between Modifiable Preconception Care Indicators and Pregnancy Outcomes
  • Perceptions and Preferences for Defining Biosimilar Products in Prescription Drug Promotion
  • Evaluating Pragmatism of Lung Cancer Screening Randomized Trials with the PRECIS-2 Tool
Show more Original Research

Similar Articles

Keywords

  • Colorectal Cancer
  • Delivery of Health Care
  • Early Detection of Cancer
  • Gastroenterology
  • Health Services
  • Linear Regression
  • Middle Aged
  • Preventive Medicine
  • Primary Health Care
  • Quantitative Research
  • Safety-Net Providers
  • Screening

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2025 American Board of Family Medicine

Powered by HighWire