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Research ArticleOriginal Research

Diffusion of Breast Cancer Risk Assessment in Primary Care

Carmen E. Guerra, Melani Sherman and Katrina Armstrong
The Journal of the American Board of Family Medicine May 2009, 22 (3) 272-279; DOI: https://doi.org/10.3122/jabfm.2009.03.080153
Carmen E. Guerra
MD, MSCE
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Melani Sherman
BA
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Katrina Armstrong
MD, MSCE
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  • Article
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    Table 1.

    Physician and Practice Characteristics and Use of Methods of Breast Cancer Risk Assessment Strategies During Previous 12 Months

    CharacteristicsOverall (n [%])Discussed Breast Cancer Risk FactorsPUsed Software to Calculate Breast Cancer RiskPOrdered or Referred for BRCA1/2 TestingP
    Yes (n = 312 [88%])No (n = 39 [12%])Yes (n = 63 [18%])No (n = 288 [82%])Yes (n = 168 [48%])No (n = 182 [52%])
    Physician
        Age (mean [SD])45.6 (11.7)45.5 (11.4)45.5 (13.7).9946.1 (11.0)45.3 (11.8).6346.0 (11.8)44.9 (11.5).14
        Male240 (68)207 (66)31 (80).1063 (46)288 (45).20112 (67)126 (69).64
        Specialty.08<.01.01
            Family medicine144 (41)132 (42)12 (31)17 (27)127 (44)66 (39)78 (43)
            Internal medicine140 (39)118 (38)22 (56)17 (27)123 (43)59 (35)80 (44)
            Obstetrics/Gynecology67 (19)62 (20)5 (13)29 (46)38 (13)43 (26)24 (13)
        Years since medical school graduation (mean [SD])17.2 (12.0)17.1 (11.7)17.1 (13.9).9919.1 (11.7)16.7 (12.0).1517.6 (12.0)16.6 (11.9).41
        Affiliated with medical school160 (48)140 (47)20 (56).3333 (55)127 (46).2281 (48)79 (43).21
        Family member with breast cancer42 (12)39 (13)3 (8).3813 (22)29 (10).0123 (14)19 (10).35
    Practice
        Number of other PCPs in practice<.01.55.06
            016 (5)10 (4)6 (19)1 (2)15 (6)4 (3)12 (8)
            157 (18)53 (19)4 (13)8 (14)48 (19)82 (54)74 (47)
            2–5100 (32)98 (35)2 (7)20 (36)80 (32)33 (22)31 (31)
            6–1064 (21)56 (20)8 (26)11 (20)53 (21)12 (8)6 (4)
            ≥1173 (24)63 (23)10 (32)16 (29)57 (22)20 (13)35 (21)
        Proportion of patients covered by managed care plans.20.28.10
             <25%63 (23)53 (22)10 (39)11 (21)52 (24)31 (18)32 (24)
            25–49%62 (23)59 (24)3 (12)8 (15)54 (25)35 (21)27 (25)
            50–74%96 (36)88 (36)8 (31)20 (39)76 (35)51 (30)45 (32)
            75–100%48 (18)43 (18)5 (19)13 (25)35 (16)22 (13)26 (19)
        Patients per week (average n).04.08.04
             <75116 (35)95 (33)21 (62)15 (25)101 (37)45 (27)71 (39)
            75–9981 (24)78 (26)3 (9)15 (25)66 (24)41 (24)40 (22)
            100–139107 (32)98 (33)9 (27)27 (45)80 (30)63 (38)44 (24)
             ≥14028 (8)27 (9)1 (3)3 (5)25 (9)11 (7)7 (9)
    • PCP, primary care physican.

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    Table 2.

    Physician Knowledge, Attitudes,* and Use of Methods of Breast Cancer Risk Assessment Strategies During Previous 12 Months

    Overall N (%)Discussed Breast Cancer Risk FactorsPUsed Software to Calculate Breast Cancer RiskPOrdered or Referred for BRCA1/2 TestingP
    Yes (n = 312 [88%])No (n = 39 [12%])Yes (n = 63 [18%])No (n = 288 [82%])Yes (n = 168 [48%])No (n = 182 [57%])
    Mean knowledge score (SD)†0.63 (0.24)0.63 (0.26)0.63 (0.22).100.71 (0.25)0.65 (0.26)<.010.65 (0.27)0.61 (0.26).20
    Many patients ask for risk information124 (35)121 (39)1 (3)<.0117 (27)105 (37).1565 (39)57 (31).20
    Information about risk creates unnecessary anxiety for many women48 (14)43 (14)5 (13).399 (14)39 (14).9827 (16)21 (12).21
    Available methods of predicting risk are not accurate enough46 (13)44 (14)2 (5).099 (14)37 (13).5322 (13)24 (13).99
    Too time consuming to evaluate and discuss risk37 (11)31 (10)6 (15).208 (13)29 (10).7021 (13)15 (8).17
    Reluctant to use breast cancer risk assessment because a woman at low risk of breast cancer might decide not to undergo mammography screening22 (6)20 (6)2 (5).563 (5)19 (7).7412 (7)10 (5).51
    • * For attitudes, the table shows the n and proportion of physicians who agree or strongly agree with the attitude statement.

    • † Mean knowledge score is the mean of the proportion of correct responses.

    • View popup
    Table 3.

    Adjusted Association Between Physician Demographics, Attitudes, Knowledge, and Use of Methods of Breast Cancer Risk Assessment*

    Discussed Breast Cancer Risk FactorsUsed Software to Calculate Breast Cancer RiskOrdered or Referred for BRCA1/2 Testing
    Specialty
        Internal medicine (ref)1.001.001.00
        Family practice1.47 (0.58–3.71)0.83 (0.37–1.81)0.95 (0.57–1.59)
        Obstetrics/gynecology3.35 (1.01–11.13)5.37 (2.49–11.55)2.36 (1.24–4.49)
    Solo practice0.14 (0.04–0.56)0.16 (0.02–1.36)0.27 (0.07–0.96)
    Family member with breast cancer1.63 (0.41–6.39)2.76 (1.27–5.30)1.19 (0.59–2.47)
    Attitudes
        Many patients ask for information about their risk of breast cancer24.60 (3.44–195.82)0.83 (0.42–1.61)1.52 (0.95–2.44)
    Knowledge
        Accuracy score (one point increase)1.23 (0.26–5.69)4.57 (1.17–17.08)1.82 (0.73–4.55)
    • * Models include all the variables in the table as well as physician age, sex, and number of patients seen per week.

    • All data provided as odds ratio (95% CI).

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The Journal of the American Board of Family Medicine: 22 (3)
The Journal of the American Board of Family Medicine
Vol. 22, Issue 3
May-June 2009
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Diffusion of Breast Cancer Risk Assessment in Primary Care
Carmen E. Guerra, Melani Sherman, Katrina Armstrong
The Journal of the American Board of Family Medicine May 2009, 22 (3) 272-279; DOI: 10.3122/jabfm.2009.03.080153

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Diffusion of Breast Cancer Risk Assessment in Primary Care
Carmen E. Guerra, Melani Sherman, Katrina Armstrong
The Journal of the American Board of Family Medicine May 2009, 22 (3) 272-279; DOI: 10.3122/jabfm.2009.03.080153
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