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Brief ReportBrief Report

Patient, Clinician, and Communication Factors Associated with Colorectal Cancer Screening

Alex H. Krist, Camille J. Hochheimer, Roy T. Sabo, Jon Puro, Eric Peele, Paulette Lail-Kashiri and Sally W. Vernon
The Journal of the American Board of Family Medicine September 2020, 33 (5) 779-784; DOI: https://doi.org/10.3122/jabfm.2020.05.190378
Alex H. Krist
From the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, CJH, RTS, PL-K), Department of Biostatistics, Virginia Commonwealth University, Richmond (CJH, RTS); OCHIN, Portland, OR (JP), RTI International, Research Triangle Park, NC (EP), Department of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston (SWV).
MD, MPH
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Camille J. Hochheimer
From the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, CJH, RTS, PL-K), Department of Biostatistics, Virginia Commonwealth University, Richmond (CJH, RTS); OCHIN, Portland, OR (JP), RTI International, Research Triangle Park, NC (EP), Department of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston (SWV).
PhD
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Roy T. Sabo
From the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, CJH, RTS, PL-K), Department of Biostatistics, Virginia Commonwealth University, Richmond (CJH, RTS); OCHIN, Portland, OR (JP), RTI International, Research Triangle Park, NC (EP), Department of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston (SWV).
PhD
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Jon Puro
From the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, CJH, RTS, PL-K), Department of Biostatistics, Virginia Commonwealth University, Richmond (CJH, RTS); OCHIN, Portland, OR (JP), RTI International, Research Triangle Park, NC (EP), Department of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston (SWV).
MHA
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Eric Peele
From the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, CJH, RTS, PL-K), Department of Biostatistics, Virginia Commonwealth University, Richmond (CJH, RTS); OCHIN, Portland, OR (JP), RTI International, Research Triangle Park, NC (EP), Department of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston (SWV).
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Paulette Lail-Kashiri
From the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, CJH, RTS, PL-K), Department of Biostatistics, Virginia Commonwealth University, Richmond (CJH, RTS); OCHIN, Portland, OR (JP), RTI International, Research Triangle Park, NC (EP), Department of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston (SWV).
MPH
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Sally W. Vernon
From the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, CJH, RTS, PL-K), Department of Biostatistics, Virginia Commonwealth University, Richmond (CJH, RTS); OCHIN, Portland, OR (JP), RTI International, Research Triangle Park, NC (EP), Department of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston (SWV).
PhD
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Article Figures & Data

Tables

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    Table 1.

    Association between Patient Characteristics and Colorectal Cancer Screening Up-to-Datedness.*

    CharacteristicNumber of Patients Up to Date (n = 618)†Number of Patients Not Up to Date (n = 341)†P Value
    Female391 (63.3%)201 (58.9%).19
    Age61.7 (5.7)60.8 (5.8).02
    Race‡.15
        Asian7 (1.1%)5 (1.5%)
        Black205 (33.4%)89 (26.6%)
        White397 (64.8%)239 (71.3%)
        Other4 (0.7%)2 (0.6%)
    Hispanic12 (2.0%)10 (3.0%).32
    Insurance.22
        Commercial229 (37.1%)127 (37.2%)
        Medicaid73 (11.8%)52 (15.3%)
        Medicare257 (41.6%)123 (36.1%)
        Uninsured59 (9.5%)39 (11.4%)
    Occupational status.50
        Employed241 (39.6%)140 (41.4%)
        Unemployed33 (5.4%)18 (5.3%)
        Homemaker12 (2.0%)7 (2.1%)
        Student1 (0.2%)1 (0.3%)
        Retired214 (35.1%)99 (29.3%)
        Disabled108 (17.7%)73 (21.6%)
    Marital status.62
        Married316 (51.9%)164 (48.8%)
        Living as married20 (3.3%)10 (3.0%)
        Divorced134 (22.0%)77 (22.9%)
        Widowed46 (7.5%)31 (9.2%)
        Separated19 (3.1%)6 (1.8%)
        Single, never been married74 (12.2%)48 (14.3%)
    Education.86
        Less than 8th grade22 (3.6%)13 (3.9%)
        Completed some high school43 (7.1%)23 (6.9%)
        High school graduate/GED§143 (23.5%)87 (26.2%)
        Some college166 (27.3%)92 (27.7%)
        College degree or higher234 (38.5%)117 (35.2%)
    Quality of life.71
        Excellent41 (6.7%)18 (5.4%)
        Very good180 (29.3%)99 (29.5%)
        Good250 (40.7%)138 (41.1%)
        Fair122 (19.9%)64 (19.0%)
        Poor21 (3.4%)17 (5.0%)
    Duration of patient-clinician relationship.02
        Less than 6 months41 (6.7%)36 (10.6%)
        6 months to a year43 (7.0%)31 (9.1%)
        1 to 3 years132 (21.4%)84 (24.6%)
        3 to 5 years110 (17.9%)66 (19.3%)
        5 or more years289 (47.0%)124 (36.4%)
    • ↵* 959 patients eligible for cancer screening from 20 community health centers completed the survey.

    • ↵† Percentages report the characteristics of those who are (or are not) up to date for each category.

    • ↵‡ Indicates Fisher's exact test used in place of χ2 test.

    • ↵§ GED, General Educational Development.

    • Bolded p values are statistically significant.

    • View popup
    Table 2.

    Association between Patient-Reported Decision-Making and Colorectal Cancer Screening Up-to-Datedness (n = 959)

    Survey ResponseNumber of Patients Up to Date (n = 618)*Number of Patients Not Up to Date (n = 341)*P Value
    Were given a choice about screening options192 (57.5%)142 (42.5%)<.01
    Locus of decision-making control
        How patients want to make decision<.01
            I prefer to make the final decision myself or after seriously considering my doctor's opinion.283 (59.7%)191 (40.3%)
            I prefer that my doctor and I share the responsibility for making the final decision.264 (70.8%)109 (29.2%)
            I prefer my doctor make the final decision or makes the final decision after seriously considering my opinion.61 (67.8%)29 (32.2%)
        How decision was actually made<.01
            I made the final decision myself or after seriously considering my doctor's opinion.301 (59.5%)205 (40.5%)
            My doctor and I shared the responsibility for making the final decision190 (72.0%)74 (28.0%)
            My doctor made the final decision or made the final decision after seriously considering my opinion.74 (74.0%)26 (26.0%)
        Concordance between preferred and actual locus of decision control399 (65.5%)210 (34.5%).75
    Clinician communication†
        How often did your doctor explain things in a way that was easy to understand?3.8 (0.5)3.7 (0.6).05
        How often did your doctor listen carefully to you?3.8 (0.5)3.7 (0.5).52
        How often did your doctor show respect for what you had to say?3.8 (0.5)3.7 (0.6).20
        How often did your doctor spend enough time with you?3.7 (0.6)3.6 (0.7).14
        Overall average score3.8 (0.5)3.7 (0.5).18
    Decisional conflict score‡
        Uncertainty subscale18.2 (29.3)21.4 (31.3).13
        Informed subscale37.1 (38.5)36.6 (37.1).86
        Value clarity subscale30.7 (36.6)36.2 (37.1).03
        Support subscale18.6 (28.5)21.2 (28.7).19
        Overall score26.2 (29.0)28.6 (28.8).25
    • ↵* Percentages compare the percent up to date versus the percent not up to date for each row.

    • ↵† Satisfaction with clinician communication scores range from 0 to 4. Response options included never, sometimes, usually, and always, which are scored as 1, 2, 3, and 4, respectively.9

    • ↵‡ Decisional conflict score ranges from 0 to 100, with 0 being no decisional conflict and 100 being extreme decisional conflict.10 An overall score under 25 is correlated with a greater likelihood of patients being able to make a decision, and score over 37 is correlated with a greater likelihood that a patient will not be able to make a decision.

    • Bolded p values are statistically significant.

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The Journal of the American Board of Family     Medicine: 33 (5)
The Journal of the American Board of Family Medicine
Vol. 33, Issue 5
September/October 2020
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Patient, Clinician, and Communication Factors Associated with Colorectal Cancer Screening
Alex H. Krist, Camille J. Hochheimer, Roy T. Sabo, Jon Puro, Eric Peele, Paulette Lail-Kashiri, Sally W. Vernon
The Journal of the American Board of Family Medicine Sep 2020, 33 (5) 779-784; DOI: 10.3122/jabfm.2020.05.190378

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Patient, Clinician, and Communication Factors Associated with Colorectal Cancer Screening
Alex H. Krist, Camille J. Hochheimer, Roy T. Sabo, Jon Puro, Eric Peele, Paulette Lail-Kashiri, Sally W. Vernon
The Journal of the American Board of Family Medicine Sep 2020, 33 (5) 779-784; DOI: 10.3122/jabfm.2020.05.190378
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