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Research ArticleResearch

Breast cancer screening practices for women aged 35 to 49 and 70 and older

Nabila Kadaoui, Maryse Guay, Geneviève Baron, José St-Cerny and Jacques Lemaire
Canadian Family Physician January 2012; 58 (1) e47-e53;
Nabila Kadaoui
MD
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  • For correspondence: Nabila.kadaoui@usherbrooke.ca
Maryse Guay
MD MSc
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Geneviève Baron
MD MSc
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José St-Cerny
MD MSc
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Jacques Lemaire
MSc PhD
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Article Figures & Data

Tables

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    Table 1

    List of independent and control variables

    FACTORSCHARACTERISTICS
    Physician characteristics
      • Predisposing factors
    • Sociodemographic characteristics

      • -Age

      • -Sex

    • Attitudes and beliefs

      • -Attitudes

    • Personal prevention habits

      • Facilitating factors
    • Training

    • Knowledge

    • Skills

    • Previous clinical experience

    • Logistic factors

      • Reinforcing factors
    • Peer support or social norm

    • Identification of cases

      • Organizational factors and health system factors
    • Consultation setting

    • Type of practice

    • Location of practice

    • Access to services

    • No. of patients

      • Situational factors or action triggers
    • Quick reference guide

    Patient characteristics
      • Patient factors
    • Age of patients

    • Motivation

    • Compliance

    • Level of information

    • Previous mammograms

    • Family history of breast cancer

    • View popup
    Table 2

    Criteria used to determine adequate breast cancer screening practices, for certain risk categories

    RISK CATEGORIES AMONG WOMENBREAST CANCER SCREENING PRACTICES
    REVIEW OF FAMILY HISTORY OF BREAST CANCERINSTRUCTION IN BREAST SELF-EXAMINATIONCLINICAL BREAST EXAMINATIONPRESCRIBING MAMMOGRAPHY
    35–49 y with no risk factorsYes*No†‡§Yes||No§
    35–49 y with risk factorsYes*Yes*||Yes||Yes*||
    ≥ 70 y with good life expectancyNo*No†‡§Yes¶Yes¶
    ≥ 70 y without good life expectancyNo*No†‡§No*No¶
    • ↵* Expert opinion.

    • ↵† Baxter and the Canadian Task Force on Preventive Health Care, 2001.36

    • ↵‡ Society of Obstetricians and Gynaecologists of Canada, 2006.37

    • ↵§ US Preventive Services Task Force, 2009.19

    • ↵|| National Comprehensive Cancer Network, 2009.22

    • ↵¶ American Geriatrics Society Clinical Practice Committee, 2005.21

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    Table 3

    Characteristics of participants

    VARIABLES MEASUREDN* (%)
    Age group (n = 453)
      • 20–39 y98 (21.6)
      • 40–59 y279 (61.6)
      • ≥ 60 y76 (16.8)
    Sex (n = 453)
      • Male206 (45.5)
      • Female247 (54.5
    Family medicine residency (n = 449)
      • Yes282 (62.8)
      • No167 (37.2)
    Years of practice (n = 453)
      • 0–9 y89 (19.6)
      • 10–19 y106 (23.4)
      • ≥ 20 y258 (57.0)
    Geographic setting (n = 451)
      • Rural98 (21.7)
      • Urban224 (49.7)
      • Semiurban129 (28.6)
    Practice setting†
      • Group practice (n = 452)265 (58.6)
      • Solo practice (n = 451)39 (8.7)
      • Long-term care centre (n = 451)12 (2.7)
      • Hospital (n = 451)53 (11.7)
      • Other (n = 452)27 (6.0)
    Type of practice†
      • Drop-ins and emergency (n = 451)53 (11.8)
      • Consultations with appointments (n = 450)240 (53.4)
      • Other clinical activities (n = 450)30 (6.6)
      • Nonclinical activities (n = 451)7 (1.6)
    • ↵* For each variable, results are presented for those who responded to the question only.

    • ↵† Defined as being the practice to which the physician dedicates more than 50% of his or her time. Total percentages for each of these 2 variables do not add up to 100% because each practice setting or type of practice is analyzed separately.

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    Table 4

    Comparison of characteristics of participants who were eligible for the starting sample and the FMOQ population

    VARIABLESPROPORTION OF ELIGIBLE PARTICIPANTS (N* = 453)PROPORTION OF STARTING SAMPLE (N = 1400)PROPORTION OF FMOQ POPULATION (N = 8452)P VALUE†P VALUE‡P VALUE§
    Age group.046.010.448
      • 20–39 y21.618.521.6
      • 40–59 y61.661.959.4
      • ≥ 60 y16.819.619.0
    Sex.378.359.217
      • Male45.547.248.3
      • Female54.552.851.7
    Years of practice
    .416.004.512
      • 0–9 y19.618.721.8
      • 10–19 y23.425.623.3
      • ≥ 20 y57.055.755.0
    • FMOQ—Fédération des médecins omnipraticiens du Québec.

    • ↵* This number corresponds to the number of individuals who responded to the questions only.

    • ↵† The χ2 tests were performed to compare eligible participants to non-participants from the starting sample.

    • ↵‡ The χ2 tests were performed to compare the starting sample to the non-sampled FMOQ population.

    • ↵§ The χ2 tests were performed to compare eligible participants to non-participants from the FMOQ population. This comparison was deemed useful because statistically significant differences exist between the starting sample and the FMOQ population for the age groups and years of practice.

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    Table 5

    Frequency of breast cancer screening practices self-reported by physicians according to the risk categories of asymptomatic women of different age groups

    RISK CATEGORIESSELF-REPORTED BREAST CANCER SCREENING PRACTICES*
    OFTEN OR ALWAYS REVIEW FAMILY HISTORY OF BREAST CANCER, N (%)OFTEN OR ALWAYS PROVIDE INSTRUCTION IN BREAST SELF-EXAMINATION, N (%)OFTEN OR ALWAYS PROVIDE CLINICAL BREAST EXAMINATION, N (%)OFTEN OR ALWAYS PRESCRIBE MAMMOGRAPHY, N (%)
    35–49 y with no risk factors for breast cancer430 (87.9)425 (37.6)430 (83.7)430 (19.5)
    35–49 y with risk factors for breast cancer422 (93.6)418 (59.6)422 (92.2)422 (81.5)
    ≥ 70 y with good life expectancy (more than 5 y)426 (65.0)424 (20.8)429 (79.0)422 (50.7)
    ≥ 70 y without good life expectancy (less than 5 y)426 (35.0)423 (7.1)430 (47.4)428 (8.6)
    • ↵* For each practice and risk category, results are presented for physicians who responded to the questions only.

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    Table 6

    Frequency of referral to genetic counseling for breast cancer self-reported by physicians according to the risk categories of asymptomatic women of different age groups

    RISK CATEGORIESOFTEN OR ALWAYS REFER FOR GENETIC COUNSELING, N (%)*
    35–49 y with no risk factors for breast cancer427 (2.1)
    35–49 y with no familial risk factors for breast cancer426 (10.1)
    35–49 y with familial risk factors for breast cancer427 (54.3)
    ≥ 70 y with good life expectancy (more than 5 y)430 (4.7)
    ≥ 70 y without good life expectancy (less than 5 y)426 (1.9)
    • ↵* Results are presented for physicians who responded to the questions only.

    • View popup
    Table 7

    Determinants for the practice of prescribing mammography for women 35 to 49 years of age with no risk factors, women 70 years of age and older with a good life expectancy, and women of all ages (correlation and multiple linear regression)

    VARIABLE*MODEL† 35–49 Y WITH NO RISK FACTORS (R2 = 0.351)MODEL‡ ≥ 70 Y WITH GOOD LIFE EXPECTANCY (R2 = 0.403)MODEL TOTAL SCORE PRESCRIPTION MAMMOGRAPHY (R2 = 0.263)
    SPEARMAN ρ CORRELATION COEFFICIENTNON-STANDARDIZED REGRESSION COEFFICIENTSPEARMAN ρ CORRELATION COEFFICIENTNON-STANDARDIZED REGRESSION COEFFICIENTSPEARMAN ρ CORRELATION COEFFICIENTNON-STANDARDIZED REGRESSION COEFFICIENT
    Attitude0.472§2.608§0.513§0.319§0.407§0.460§
    Screening skills−0.233§−0.351||NSNANSNA
    Peer supportNSNA0.443§0.232§0.300§0.184¶
    Belief in the efficacy of mammography−0.441§−2.184§NSNANSNA
    Knowledge−0.183§−0.238||0.160¶0.027¶NSNA
    No. of patients seen in practice setting−0.151¶−0.392||0.121||0.035||NSNA
    No. of women 35–49 y for PHENSNANSNA0.110||0.019||
    Age of physician−0.260§−0.118§NS0.006||−0.163¶NS
    Sex of physician (woman)**NSNS§0.201§§NS
    Group practiceNSNANSNA0.125||NA
    • NA—not applicable, NS—not significant (P > .05), PHE—periodic health examination.

    • ↵* Variables adjusted for the age and sex of physician in the multivariate analysis.

    • ↵† Conversion into new dependent variable = (former dependent variable + 2)2.

    • ↵‡ Conversion into new dependent variable = (former dependent variable + 0.8)−0.7.

    • ↵§ P < .001.

    • ↵|| P < .05.

    • ↵¶ P < .01.

    • ↵** Mann-Whitney test performed bivariately.

    • View popup
    Table 8

    Determinants for the practice of prescribing mammography for women 35 to 49 years of age with risk factors and women 70 years of age and older without good life expectancy (correlation and logistic regression)

    VARIABLE*SPEARMAN RANK CORRELATION COEFFICIENTLOGISTIC REGRESSION
    ORCI 95%
    Women 35–49 y with risk factors (P < .0001 for the model)
      • Attitude0.354†2.262‡1.157–4.411
      • Skills0.290†1.354§1.116–1.663
      • Peer support0.290†2.202‡1.167–4.142
      • Belief in efficacy0.300†2.816†1.572–5.162
      • No. of women 35–49 y0.152§1.051‡1.009–1.097
      • Group practice0.132§1.011‡1.001–1.021
      • Knowledge0.171†NSNA
      • Age of physician0.102‡NSNA
      • Sex of physician||NSNSNA
    Women ≥ 70 y without good life expectancy (P < .0001 for the model)
      • Attitude0.393†4.279†2.534–7.623
      • Skills−0.232†0.783‡0.624–0.974
      • Nonclinical activities0.144§1.117‡1.032–1.260
      • Peer support0.383†NSNA
      • Belief in efficacy−0.247†NSNA
      • Knowledge−0.160§NSNA
      • Age of physician−0.165§NSNA
      • Sex of physician||NSNSNA
    • NA—not applicable, NS—not significant (P > .05), OR—odds ratio.

    • ↵* Variables adjusted for age and sex in the multivariate analysis.

    • ↵† P < .001.

    • ↵‡ P < .05.

    • ↵§ P < .01.

    • ↵|| Mann-Whitney test performed bivariately.

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Canadian Family Physician: 58 (1)
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Breast cancer screening practices for women aged 35 to 49 and 70 and older
Nabila Kadaoui, Maryse Guay, Geneviève Baron, José St-Cerny, Jacques Lemaire
Canadian Family Physician Jan 2012, 58 (1) e47-e53;

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Breast cancer screening practices for women aged 35 to 49 and 70 and older
Nabila Kadaoui, Maryse Guay, Geneviève Baron, José St-Cerny, Jacques Lemaire
Canadian Family Physician Jan 2012, 58 (1) e47-e53;
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