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Research ArticleOriginal Research

Sociopsychological Tailoring to Address Colorectal Cancer Screening Disparities: A Randomized Controlled Trial

Anthony Jerant, Richard L. Kravitz, Nancy Sohler, Kevin Fiscella, Raquel L. Romero, Bennett Parnes, Daniel J. Tancredi, Sergio Aguilar-Gaxiola, Christina Slee, Simon Dvorak, Charles Turner, Andrew Hudnut, Francisco Prieto and Peter Franks
The Annals of Family Medicine May 2014, 12 (3) 204-214; DOI: https://doi.org/10.1370/afm.1623
Anthony Jerant
Department of Family and Community Medicine, University of California Davis, Sacramento, California (Jerant, Franks); Center for Healthcare Policy and Research, University of California Davis, Sacramento, California (Jerant, Kravitz, Tancredi, Franks); Division of General Internal Medicine, University of California Davis, Sacramento, California (Kravitz); Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education of The City College of New York, New York, New York (Sohler); Department of Family Medicine and Community and Preventive Medicine, University of Rochester, Rochester, New York (Fiscella); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas (Romero); Department of Family Medicine, University of Colorado, Denver, Colorado (Parnes); Department of Pediatrics, University of California Davis, Sacramento, California (Tancredi); Department of Internal Medicine, University of California Davis, Sacramento, California (Aguilar-Gaxiola); Center for Reducing Health Disparities, University of California Davis, Sacramento, California (Aguilar-Gaxiola); University of California Davis Medical Center, Sacramento, California (Slee); IET-Academic Technology Services, University of California Davis, Davis, California (Dvorak, Turner); Sutter Medical Foundation, Sacramento, California (Hudnut, Prieto).
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  • For correspondence: afjerant@ucdavis.edu
Richard L. Kravitz
Department of Family and Community Medicine, University of California Davis, Sacramento, California (Jerant, Franks); Center for Healthcare Policy and Research, University of California Davis, Sacramento, California (Jerant, Kravitz, Tancredi, Franks); Division of General Internal Medicine, University of California Davis, Sacramento, California (Kravitz); Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education of The City College of New York, New York, New York (Sohler); Department of Family Medicine and Community and Preventive Medicine, University of Rochester, Rochester, New York (Fiscella); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas (Romero); Department of Family Medicine, University of Colorado, Denver, Colorado (Parnes); Department of Pediatrics, University of California Davis, Sacramento, California (Tancredi); Department of Internal Medicine, University of California Davis, Sacramento, California (Aguilar-Gaxiola); Center for Reducing Health Disparities, University of California Davis, Sacramento, California (Aguilar-Gaxiola); University of California Davis Medical Center, Sacramento, California (Slee); IET-Academic Technology Services, University of California Davis, Davis, California (Dvorak, Turner); Sutter Medical Foundation, Sacramento, California (Hudnut, Prieto).
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Nancy Sohler
Department of Family and Community Medicine, University of California Davis, Sacramento, California (Jerant, Franks); Center for Healthcare Policy and Research, University of California Davis, Sacramento, California (Jerant, Kravitz, Tancredi, Franks); Division of General Internal Medicine, University of California Davis, Sacramento, California (Kravitz); Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education of The City College of New York, New York, New York (Sohler); Department of Family Medicine and Community and Preventive Medicine, University of Rochester, Rochester, New York (Fiscella); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas (Romero); Department of Family Medicine, University of Colorado, Denver, Colorado (Parnes); Department of Pediatrics, University of California Davis, Sacramento, California (Tancredi); Department of Internal Medicine, University of California Davis, Sacramento, California (Aguilar-Gaxiola); Center for Reducing Health Disparities, University of California Davis, Sacramento, California (Aguilar-Gaxiola); University of California Davis Medical Center, Sacramento, California (Slee); IET-Academic Technology Services, University of California Davis, Davis, California (Dvorak, Turner); Sutter Medical Foundation, Sacramento, California (Hudnut, Prieto).
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Kevin Fiscella
Department of Family and Community Medicine, University of California Davis, Sacramento, California (Jerant, Franks); Center for Healthcare Policy and Research, University of California Davis, Sacramento, California (Jerant, Kravitz, Tancredi, Franks); Division of General Internal Medicine, University of California Davis, Sacramento, California (Kravitz); Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education of The City College of New York, New York, New York (Sohler); Department of Family Medicine and Community and Preventive Medicine, University of Rochester, Rochester, New York (Fiscella); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas (Romero); Department of Family Medicine, University of Colorado, Denver, Colorado (Parnes); Department of Pediatrics, University of California Davis, Sacramento, California (Tancredi); Department of Internal Medicine, University of California Davis, Sacramento, California (Aguilar-Gaxiola); Center for Reducing Health Disparities, University of California Davis, Sacramento, California (Aguilar-Gaxiola); University of California Davis Medical Center, Sacramento, California (Slee); IET-Academic Technology Services, University of California Davis, Davis, California (Dvorak, Turner); Sutter Medical Foundation, Sacramento, California (Hudnut, Prieto).
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Raquel L. Romero
Department of Family and Community Medicine, University of California Davis, Sacramento, California (Jerant, Franks); Center for Healthcare Policy and Research, University of California Davis, Sacramento, California (Jerant, Kravitz, Tancredi, Franks); Division of General Internal Medicine, University of California Davis, Sacramento, California (Kravitz); Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education of The City College of New York, New York, New York (Sohler); Department of Family Medicine and Community and Preventive Medicine, University of Rochester, Rochester, New York (Fiscella); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas (Romero); Department of Family Medicine, University of Colorado, Denver, Colorado (Parnes); Department of Pediatrics, University of California Davis, Sacramento, California (Tancredi); Department of Internal Medicine, University of California Davis, Sacramento, California (Aguilar-Gaxiola); Center for Reducing Health Disparities, University of California Davis, Sacramento, California (Aguilar-Gaxiola); University of California Davis Medical Center, Sacramento, California (Slee); IET-Academic Technology Services, University of California Davis, Davis, California (Dvorak, Turner); Sutter Medical Foundation, Sacramento, California (Hudnut, Prieto).
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Bennett Parnes
Department of Family and Community Medicine, University of California Davis, Sacramento, California (Jerant, Franks); Center for Healthcare Policy and Research, University of California Davis, Sacramento, California (Jerant, Kravitz, Tancredi, Franks); Division of General Internal Medicine, University of California Davis, Sacramento, California (Kravitz); Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education of The City College of New York, New York, New York (Sohler); Department of Family Medicine and Community and Preventive Medicine, University of Rochester, Rochester, New York (Fiscella); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas (Romero); Department of Family Medicine, University of Colorado, Denver, Colorado (Parnes); Department of Pediatrics, University of California Davis, Sacramento, California (Tancredi); Department of Internal Medicine, University of California Davis, Sacramento, California (Aguilar-Gaxiola); Center for Reducing Health Disparities, University of California Davis, Sacramento, California (Aguilar-Gaxiola); University of California Davis Medical Center, Sacramento, California (Slee); IET-Academic Technology Services, University of California Davis, Davis, California (Dvorak, Turner); Sutter Medical Foundation, Sacramento, California (Hudnut, Prieto).
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Daniel J. Tancredi
Department of Family and Community Medicine, University of California Davis, Sacramento, California (Jerant, Franks); Center for Healthcare Policy and Research, University of California Davis, Sacramento, California (Jerant, Kravitz, Tancredi, Franks); Division of General Internal Medicine, University of California Davis, Sacramento, California (Kravitz); Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education of The City College of New York, New York, New York (Sohler); Department of Family Medicine and Community and Preventive Medicine, University of Rochester, Rochester, New York (Fiscella); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas (Romero); Department of Family Medicine, University of Colorado, Denver, Colorado (Parnes); Department of Pediatrics, University of California Davis, Sacramento, California (Tancredi); Department of Internal Medicine, University of California Davis, Sacramento, California (Aguilar-Gaxiola); Center for Reducing Health Disparities, University of California Davis, Sacramento, California (Aguilar-Gaxiola); University of California Davis Medical Center, Sacramento, California (Slee); IET-Academic Technology Services, University of California Davis, Davis, California (Dvorak, Turner); Sutter Medical Foundation, Sacramento, California (Hudnut, Prieto).
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Sergio Aguilar-Gaxiola
Department of Family and Community Medicine, University of California Davis, Sacramento, California (Jerant, Franks); Center for Healthcare Policy and Research, University of California Davis, Sacramento, California (Jerant, Kravitz, Tancredi, Franks); Division of General Internal Medicine, University of California Davis, Sacramento, California (Kravitz); Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education of The City College of New York, New York, New York (Sohler); Department of Family Medicine and Community and Preventive Medicine, University of Rochester, Rochester, New York (Fiscella); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas (Romero); Department of Family Medicine, University of Colorado, Denver, Colorado (Parnes); Department of Pediatrics, University of California Davis, Sacramento, California (Tancredi); Department of Internal Medicine, University of California Davis, Sacramento, California (Aguilar-Gaxiola); Center for Reducing Health Disparities, University of California Davis, Sacramento, California (Aguilar-Gaxiola); University of California Davis Medical Center, Sacramento, California (Slee); IET-Academic Technology Services, University of California Davis, Davis, California (Dvorak, Turner); Sutter Medical Foundation, Sacramento, California (Hudnut, Prieto).
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Christina Slee
Department of Family and Community Medicine, University of California Davis, Sacramento, California (Jerant, Franks); Center for Healthcare Policy and Research, University of California Davis, Sacramento, California (Jerant, Kravitz, Tancredi, Franks); Division of General Internal Medicine, University of California Davis, Sacramento, California (Kravitz); Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education of The City College of New York, New York, New York (Sohler); Department of Family Medicine and Community and Preventive Medicine, University of Rochester, Rochester, New York (Fiscella); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas (Romero); Department of Family Medicine, University of Colorado, Denver, Colorado (Parnes); Department of Pediatrics, University of California Davis, Sacramento, California (Tancredi); Department of Internal Medicine, University of California Davis, Sacramento, California (Aguilar-Gaxiola); Center for Reducing Health Disparities, University of California Davis, Sacramento, California (Aguilar-Gaxiola); University of California Davis Medical Center, Sacramento, California (Slee); IET-Academic Technology Services, University of California Davis, Davis, California (Dvorak, Turner); Sutter Medical Foundation, Sacramento, California (Hudnut, Prieto).
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Simon Dvorak
Department of Family and Community Medicine, University of California Davis, Sacramento, California (Jerant, Franks); Center for Healthcare Policy and Research, University of California Davis, Sacramento, California (Jerant, Kravitz, Tancredi, Franks); Division of General Internal Medicine, University of California Davis, Sacramento, California (Kravitz); Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education of The City College of New York, New York, New York (Sohler); Department of Family Medicine and Community and Preventive Medicine, University of Rochester, Rochester, New York (Fiscella); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas (Romero); Department of Family Medicine, University of Colorado, Denver, Colorado (Parnes); Department of Pediatrics, University of California Davis, Sacramento, California (Tancredi); Department of Internal Medicine, University of California Davis, Sacramento, California (Aguilar-Gaxiola); Center for Reducing Health Disparities, University of California Davis, Sacramento, California (Aguilar-Gaxiola); University of California Davis Medical Center, Sacramento, California (Slee); IET-Academic Technology Services, University of California Davis, Davis, California (Dvorak, Turner); Sutter Medical Foundation, Sacramento, California (Hudnut, Prieto).
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Charles Turner
Department of Family and Community Medicine, University of California Davis, Sacramento, California (Jerant, Franks); Center for Healthcare Policy and Research, University of California Davis, Sacramento, California (Jerant, Kravitz, Tancredi, Franks); Division of General Internal Medicine, University of California Davis, Sacramento, California (Kravitz); Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education of The City College of New York, New York, New York (Sohler); Department of Family Medicine and Community and Preventive Medicine, University of Rochester, Rochester, New York (Fiscella); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas (Romero); Department of Family Medicine, University of Colorado, Denver, Colorado (Parnes); Department of Pediatrics, University of California Davis, Sacramento, California (Tancredi); Department of Internal Medicine, University of California Davis, Sacramento, California (Aguilar-Gaxiola); Center for Reducing Health Disparities, University of California Davis, Sacramento, California (Aguilar-Gaxiola); University of California Davis Medical Center, Sacramento, California (Slee); IET-Academic Technology Services, University of California Davis, Davis, California (Dvorak, Turner); Sutter Medical Foundation, Sacramento, California (Hudnut, Prieto).
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Andrew Hudnut
Department of Family and Community Medicine, University of California Davis, Sacramento, California (Jerant, Franks); Center for Healthcare Policy and Research, University of California Davis, Sacramento, California (Jerant, Kravitz, Tancredi, Franks); Division of General Internal Medicine, University of California Davis, Sacramento, California (Kravitz); Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education of The City College of New York, New York, New York (Sohler); Department of Family Medicine and Community and Preventive Medicine, University of Rochester, Rochester, New York (Fiscella); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas (Romero); Department of Family Medicine, University of Colorado, Denver, Colorado (Parnes); Department of Pediatrics, University of California Davis, Sacramento, California (Tancredi); Department of Internal Medicine, University of California Davis, Sacramento, California (Aguilar-Gaxiola); Center for Reducing Health Disparities, University of California Davis, Sacramento, California (Aguilar-Gaxiola); University of California Davis Medical Center, Sacramento, California (Slee); IET-Academic Technology Services, University of California Davis, Davis, California (Dvorak, Turner); Sutter Medical Foundation, Sacramento, California (Hudnut, Prieto).
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Francisco Prieto
Department of Family and Community Medicine, University of California Davis, Sacramento, California (Jerant, Franks); Center for Healthcare Policy and Research, University of California Davis, Sacramento, California (Jerant, Kravitz, Tancredi, Franks); Division of General Internal Medicine, University of California Davis, Sacramento, California (Kravitz); Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education of The City College of New York, New York, New York (Sohler); Department of Family Medicine and Community and Preventive Medicine, University of Rochester, Rochester, New York (Fiscella); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas (Romero); Department of Family Medicine, University of Colorado, Denver, Colorado (Parnes); Department of Pediatrics, University of California Davis, Sacramento, California (Tancredi); Department of Internal Medicine, University of California Davis, Sacramento, California (Aguilar-Gaxiola); Center for Reducing Health Disparities, University of California Davis, Sacramento, California (Aguilar-Gaxiola); University of California Davis Medical Center, Sacramento, California (Slee); IET-Academic Technology Services, University of California Davis, Davis, California (Dvorak, Turner); Sutter Medical Foundation, Sacramento, California (Hudnut, Prieto).
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Peter Franks
Department of Family and Community Medicine, University of California Davis, Sacramento, California (Jerant, Franks); Center for Healthcare Policy and Research, University of California Davis, Sacramento, California (Jerant, Kravitz, Tancredi, Franks); Division of General Internal Medicine, University of California Davis, Sacramento, California (Kravitz); Department of Community Health and Social Medicine, Sophie Davis School of Biomedical Education of The City College of New York, New York, New York (Sohler); Department of Family Medicine and Community and Preventive Medicine, University of Rochester, Rochester, New York (Fiscella); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas (Romero); Department of Family Medicine, University of Colorado, Denver, Colorado (Parnes); Department of Pediatrics, University of California Davis, Sacramento, California (Tancredi); Department of Internal Medicine, University of California Davis, Sacramento, California (Aguilar-Gaxiola); Center for Reducing Health Disparities, University of California Davis, Sacramento, California (Aguilar-Gaxiola); University of California Davis Medical Center, Sacramento, California (Slee); IET-Academic Technology Services, University of California Davis, Davis, California (Dvorak, Turner); Sutter Medical Foundation, Sacramento, California (Hudnut, Prieto).
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  • Figure 1
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    Figure 1

    Sequence and content of tailored IMCP and nontailored control interventions for colorectal screening.

    CRC = colorectal cancer; FOBT = fecal occult blood test; IMCP = interactive multimedia computer program.

    Note: shaded boxes indicate keying individually tailored modules of experimental IMCP.

    aBasic structure of tailoring in each module: (1) give all users brief feedback tailored to their responses to relevant questions; (2) offer the option to view more-detailed information.

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    Figure 2

    Flow of participants through the trial.

    CRC = colorectal cancer; IMCP = interactive multimedia computer program.

  • Figure 3
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    Figure 3

    Kaplan-Meier curve for receipt of colorectal cancer screening after intervention according to study group.

    IMCP = interactive multimedia computer program.

    Note: Screening was ascertained by medical record review.

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    Table 1

    Characteristics of the Participants by Study Group

    CharacteristicsStudy Intervention Groupa
    Control
    N = 569
    Tailored IMCP
    N = 595
    Patient enrollment by performance site, %
    Rochester, New York20.921.0
    Bronx, New York24.024.1
    Denver and Southwestern Colorado15.616.0
    San Antonio, Texas17.916.7
    Sacramento, California21.622.2
    Sociodemographics
    Age, mean (SD), y57.1 (6.2)57.0 (6.1)
    Female, %65.865.0
    Spanish language version of software, %23.523.4
    Ethnicity/race category, %
     Hispanic (any race)51.549.7
     Non-Hispanic
     White20.721.0
     Black23.024.9
     Other race4.74.4
    Country of birth, %
     United States69.270.6
     Argentina9.57.6
     Dominican Republic7.79.6
     Mexico7.78.2
     Puerto Rico5.84.0
    Length of time living in United States, %b
    <1 y4.06.9
    1–5 y8.011.4
    6–10 y8.69.7
    >10 y79.472.0
    Education level, %
     <High school15.819.0
     Some high school21.518.1
     High school graduate25.123.8
     Some college18.520.9
     College graduate19.018.3
    Income level, %
     <$10,00033.235.0
     $10,000 to <$15,00018.917.8
     $15,000 to <$25,00017.814.7
     $25,000 to <$50,00014.515.3
     >$50,00015.617.2
    Self-rated health literacy (range 1–5), mean (SD)c2.0 (1.2)2.1 (1.3)
    Health-related characteristics
    Health status score (range 0–100), mean (SD)d
    SF-12 physical component summary42.9 (11.1)42.1 (11.7)
    SF-12 mental component summary45.4 (11.4)45.5 (11.3)
    Duration of current primary care clinician relationship, %
     <1 y26.324.6
     1–2 y18.916.8
     3–5 y15.619.9
     >5 y36.136.5
     Unsure3.02.2
    Intervention factors
    Software use time, mean (SD), mine32.5 (22.2)33.1 (21.8)
    Satisfaction with software score (range 1–5), mean (SD)f4.2 (0.5)4.3 (0.5)
    • IMCP = interactive multimedia computer program.

    • ↵a P >.10 for all comparisons of characteristics between groups (χ2 test for categorical variables, t test for continuous variables).

    • ↵b Calculated using data from the 350 respondents (175 control, 175 tailored IMCP, 30% of overall sample) indicating a country of birth other than the United States.

    • ↵c Higher scores indicate lower self-assessed health literacy.

    • ↵d Higher scores indicate better health.

    • ↵e Based on available data from 550 control patients and 572 IMCP patients.

    • ↵f Higher scores indicate greater satisfaction.

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    Table 2

    Unadjusted Expanded Health Belief Model Sociopsychological Factor Status, Patient and Provider Visit Behaviors, and Colorectal Cancer Screening by Study Group

    Characteristics (N = 1,164)Intervention Group
    Control
    (N = 569)
    Tailored IMCP
    (N = 595)
    EHBM sociopsychological factors
    Specific test preference, %
     Previsit62.664.5
     Postvisita76.383.2
    Screening knowledge score, mean (SD)
    Test options (score range 0–3)b
     Previsit1.6 (0.8)1.7 (0.8)
     Postvisitc1.9 (0.8)2.2 (0.8)
    Harms/inconveniences (score range 0–6)b,d
     Previsitc3.7 (2.1)4.3 (2.1)
     Postvisitc4.1 (2.3)5.0 (2.4)
    Total (score range 0–9)b,e
     Previsitc5.3 (2.5)5.9 (2.5)
     Postvisitc6.0 (2.7)7.2 (2.8)
    Self-efficacy score (score range 1–5), mean (SD)d,f
     Previsitc3.8 (0.7)4.1 (0.7)
     Postvisita3.9 (0.7)4.0 (0.6)
    Barriers score (score range 1–5), mean (SD)d,g
    FOBT
     Previsit3.5 (0.8)3.5 (0.8)
     Postvisit3.5 (0.7)3.5 (0.8)
    Colonoscopy
     Previsit3.4 (0.7)3.5 (0.6)
     Postvisit3.5 (0.7)3.5 (0.7)
    Stage of readiness, %d
    Precontemplation
     Previsit11.14.9
     Postvisit7.46.2
    Contemplation
     Previsit63.062.0
     Postvisit59.554.5
    Preparation
     Previsit25.933.0
     Postvisit33.039.4
    Self-reported prior CRC screening, %d
     FOBT26.526.9
     Colonoscopy13.215.9
    Patient-reported visit behaviors, %
    CRC screening discussed34.841.2
    Clinician recommended CRC screening50.259.0
    CRC screening, No. (%)h123 (22.1)132 (23.0)
    • CRC = colorectal cancer; IMCP = interactive multimedia computer program; EHBM = expanded health belief model; FOBT = fecal occult blood testing.

    • ↵a P <.01.

    • ↵b Higher scores indicate greater knowledge.

    • ↵c P <.001 for difference in scores between intervention groups (c2 test for categorical variables, t test for continuous variables).

    • ↵d In the tailored IMCP group, these questions were answered after participants had viewed some information tailored to their knowledge of colorectal cancer screening options (see Methods and Figure 1 for details).

    • ↵e Total knowledge score is sum of scores for knowledge of screening test options and knowledge of screening harms and inconveniences scales.

    • ↵f Higher scores indicate higher self-efficacy.

    • ↵g Higher scores indicate fewer barriers.

    • ↵h During 12 months of follow-up, based on review of medical records, available for 1,132 participants (575 IMCP patients, 557 controls).

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    Table 3

    Adjusted Effects of the Tailored Intervention (vs Control) on Postvisit Sociopsychological Factors, Visit Behaviors, and Colorectal Cancer Screening

    OutcomeEntire Sample PEa (95% CI)Stratified by Ethnicity/Preferred Language
    Non-Hispanic PEa (95% CI)Hispanic/English PEa (95% CI)Hispanic/Spanish PEa (95% CI)
    EHBM sociopsychological factorsb
     Prefer specific test option, %6.8 (2.2 to 11.4)c5.8 (−0.9 to 12.4)11.1 (1.7 to 20.6)d4.3 (−3.8 to 12.5)
     Screening knowledge (total)e1.15 (0.86 to 1.44)f1.46 (1.04 to 1.87)f1.28 (0.70 to 1.86)f0.39 (−0.18 to 0.95)
     Screening self-efficacy0.10 (0.03 to 0.18)c0.11 (0.00 to 0.22)d0.11 (−0.03 to 0.25)0.07 (−0.07 to 0.21)
     Perceived screening barriers
      FOBT0.03 (−0.05 to 0.12)0.05 (−0.07 to 0.16)0.02 (−0.14 to 0.18)0.01 (−0.16 to 0.18)
      Colonoscopy0.02 (−0.06 to 0.09)0.02 (−0.09 to 0.13)−0.02 (−0.18 to 0.13)0.07 (−0.10 to 0.24)
     Stage of readiness for screening1.32 (1.05 to 1.66)d1.44 (1.03 to 2.00)d1.69 (1.07 to 2.67)d0.86 (0.53 to 1.38)
    Visit behaviors, %g
     Discussion CRC screening8.6 (3.1 to 14.2)c9.2 (1.4 to 17.0)d10.5 (−0.2 to 21.2)6.0 (−5.7 to 17.8)
     Recommendation CRC screening6.4 (1.0 to 11.8)d8.1% (0.4 to 15.8%)d8.3 (−2.0 to 18.5%)3.1 (−7.5 to 13.7)
    CRC screening, %h0.5 (−4.3 to 5.3)−0.3 (−7.4 to 6.8)−1.3 (−9.3 to 6.8)4.3 (−6.1 to 14.6)
    • CRC = colorectal cancer; EHBM = expanded health belief model; FOBT = fecal occult blood testing; IMCP = interactive multimedia computer program; PE = parameter estimate; SE = self-efficacy.

    • ↵a Parameter estimates for total knowledge (score range = 0–9) and self-efficacy (score range = 1–5) represent the amount of change in score (ie, points); parameter estimates for specific test preference, discussion and recommendation of colorectal cancer screening, and colorectal cancer screening represent percentage point increases or decreases; parameter estimate for stage of readiness represents the odds of an increase in stage.

    • ↵b All sociopsychological factor models were adjusted for the previsit value of the dependent variable and study recruitment center; the entire sample analyses also were adjusted for ethnicity/language strata.

    • ↵c P <.01.

    • ↵d P <.05.

    • ↵e Analyses examined effects on a total colorectal cancer screening knowledge scale, derived by combining the scores for the knowledge of screening test options and knowledge of screening risks and inconveniences scales.

    • ↵f P <.001.

    • ↵g All visit behavior models were adjusted for study recruitment center; the entire sample analyses also were adjusted for ethnicity/language strata.

    • ↵h Based on review of medical records, available for 1,132 participants (575 IMCP patients, 557 control patients). All receipt of screening models were adjusted for study recruitment center; the entire sample analysis also was adjusted for ethnicity/language strata.

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  • The Article in Brief

    Sociopsychological Tailoring to Address Colorectal Cancer Screening Disparities: Randomized Controlled Trial

    Anthony Jerant , and colleagues

    Background Colorectal cancer (CRC) screening is under-utilized. This study compares two CRC screening interventions delivered before office visits: an interactive multimedia computer program tailored to patients' beliefs about CRC screening and a non-tailored program providing basic CRC screening information.

    What This Study Found An interactive multimedia computer program tailored to patients? specific beliefs about colorectal cancer screening was no more effective in improving colorectal cancer screening rates than a non-tailored informational program. In a multiethnic patient sample, the tailored program improved colorectal cancer screening knowledge, self-efficacy, readiness, test preference specificity, discussion and recommendation, however, in the subsequent year patients in both groups received screening at similar rates.

    Implications

    • The findings raise doubts about the effectiveness of sociopsychological tailoring approaches in promoting CRC screening. the utility of one-time tailoring of socio-psychological factors in promoting and reducing ethnic disparities in CRC screening.
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The Annals of Family Medicine: 12 (3)
The Annals of Family Medicine: 12 (3)
Vol. 12, Issue 3
May/June 2014
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Sociopsychological Tailoring to Address Colorectal Cancer Screening Disparities: A Randomized Controlled Trial
Anthony Jerant, Richard L. Kravitz, Nancy Sohler, Kevin Fiscella, Raquel L. Romero, Bennett Parnes, Daniel J. Tancredi, Sergio Aguilar-Gaxiola, Christina Slee, Simon Dvorak, Charles Turner, Andrew Hudnut, Francisco Prieto, Peter Franks
The Annals of Family Medicine May 2014, 12 (3) 204-214; DOI: 10.1370/afm.1623

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Sociopsychological Tailoring to Address Colorectal Cancer Screening Disparities: A Randomized Controlled Trial
Anthony Jerant, Richard L. Kravitz, Nancy Sohler, Kevin Fiscella, Raquel L. Romero, Bennett Parnes, Daniel J. Tancredi, Sergio Aguilar-Gaxiola, Christina Slee, Simon Dvorak, Charles Turner, Andrew Hudnut, Francisco Prieto, Peter Franks
The Annals of Family Medicine May 2014, 12 (3) 204-214; DOI: 10.1370/afm.1623
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