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Research ArticleOriginal Research

When Primary Care Providers (PCPs) Help Patients Choose Prostate Cancer Treatment

Archana Radhakrishnan, David Grande, Michelle Ross, Nandita Mitra, Justin Bekelman, Christian Stillson and Craig Evan Pollack
The Journal of the American Board of Family Medicine May 2017, 30 (3) 298-307; DOI: https://doi.org/10.3122/jabfm.2017.03.160359
Archana Radhakrishnan
From the Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD (AR, CEP); the Division of General Internal Medicine, Hospital of the University of Pennsylvania Philadelphia (DG, CS); the Department of Biostatistics and Epidemiology, Hospital of the University of Pennsylvania (MR, NM); the Department of Radiation Oncology, Hospital of the University of Pennsylvania (JB); and the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore (CEP).
MD, MHS
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David Grande
From the Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD (AR, CEP); the Division of General Internal Medicine, Hospital of the University of Pennsylvania Philadelphia (DG, CS); the Department of Biostatistics and Epidemiology, Hospital of the University of Pennsylvania (MR, NM); the Department of Radiation Oncology, Hospital of the University of Pennsylvania (JB); and the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore (CEP).
MD, MPA
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Michelle Ross
From the Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD (AR, CEP); the Division of General Internal Medicine, Hospital of the University of Pennsylvania Philadelphia (DG, CS); the Department of Biostatistics and Epidemiology, Hospital of the University of Pennsylvania (MR, NM); the Department of Radiation Oncology, Hospital of the University of Pennsylvania (JB); and the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore (CEP).
PhD
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Nandita Mitra
From the Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD (AR, CEP); the Division of General Internal Medicine, Hospital of the University of Pennsylvania Philadelphia (DG, CS); the Department of Biostatistics and Epidemiology, Hospital of the University of Pennsylvania (MR, NM); the Department of Radiation Oncology, Hospital of the University of Pennsylvania (JB); and the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore (CEP).
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Justin Bekelman
From the Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD (AR, CEP); the Division of General Internal Medicine, Hospital of the University of Pennsylvania Philadelphia (DG, CS); the Department of Biostatistics and Epidemiology, Hospital of the University of Pennsylvania (MR, NM); the Department of Radiation Oncology, Hospital of the University of Pennsylvania (JB); and the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore (CEP).
MD
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Christian Stillson
From the Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD (AR, CEP); the Division of General Internal Medicine, Hospital of the University of Pennsylvania Philadelphia (DG, CS); the Department of Biostatistics and Epidemiology, Hospital of the University of Pennsylvania (MR, NM); the Department of Radiation Oncology, Hospital of the University of Pennsylvania (JB); and the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore (CEP).
MPH
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Craig Evan Pollack
From the Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD (AR, CEP); the Division of General Internal Medicine, Hospital of the University of Pennsylvania Philadelphia (DG, CS); the Department of Biostatistics and Epidemiology, Hospital of the University of Pennsylvania (MR, NM); the Department of Radiation Oncology, Hospital of the University of Pennsylvania (JB); and the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore (CEP).
MD, MHS
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    Figure 1.

    Adjusted odds ratio (OR) and 95% confidence interval of receipt of definitive treatment associated with receiving help from the primary care physician among various patient cohorts. All models adjusted for age, race, education, insurance, employment, marital status, and life expectancy, with models for older men and limited life expectancy additionally adjusted for Gleason score and clinical stage. NCCN = National comprehensive Cancer Network.

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    Table 1.

    Demographic and Clinical Characteristics of Patients

    Characteristic
    Age (years)
        Mean (SD)65.4 (8.3)
        <60567 (24.7)
        60–64459 (20.0)
        65–69570 (24.9)
        70–74363 (15.8)
        ≥75318 (13.9)
        Missing17 (0.7)
    Race/ethnicity
        Non-Hispanic white1804 (78.6)
        Non-Hispanic black351 (15.3)
        Hispanic41 (1.8)
        Non-Hispanic other26 (1.1)
        Missing72 (3.1)
    Education
        Less than high school157 (6.8)
        High school graduate529 (23.1)
        Some college463 (20.2)
        College graduate349 (15.2)
        More than college620 (27.0)
        Missing176 (7.7)
    Insurance
        Private1271 (55.4)
        Medicaid67 (2.9)
        Medicare921 (40.1)
        None10 (0.4)
        Missing25 (1.1)
    Employment
        Unemployed/other242 (10.6)
        Employed902 (39.3)
        Retired972 (42.4)
        Missing178 (7.8)
    Marital status
        Single425 (18.5)
        Married1836 (80.0)
        Missing33 (1.4)
    10-Year risk of mortality
         <25%622 (27.1)
        25- 50%747 (32.6)
        50–75%548 (23.9)
        ≥75%225 (9.8)
        Missing152 (6.6)
    Gleason score6.8 (0.89)
        <7909 (39.6)
        7920 (40.1)
        >7400 (17.4)
        Missing65 (2.8)
    Clinical tumor stage
        11642 (71.6)
        2558 (24.3)
        351 (2.2)
        Missing43 (1.9)
    Definitive treatment
        Yes1825 (79.6)
        No364 (15.8)
        Missing105 (4.6)
    Treatment
        Surgery1175 (51.2)
        Radiation therapy680 (29.6)
        Hormone therapy309 (13.5)
    • Data are n (%) of patients unless otherwise indicated.

    • SD, standard deviation.

    • View popup
    Table 2.

    Bivariate and Multivariable Analyses of Patient Characteristics Associated with Receiving Help from the Primary Care Physician Regarding Treatment

    Received Help from the PCP, n (%)P Value*Adjusted Model,† Odds Ratio (95% CI)P Value
    NoYes
    Total1375 (59.9)876 (38.2)
    Age (years).24
         <60340 (24.8)220 (25.3)Reference
        60–64276 (20.1)175 (20.1)0.96 (0.72–1.27).77
        65–69363 (26.4)200 (23.0)0.75 (0.51–1.09).13
        70–74220 (16.0)141 (16.2)0.78 (0.51–1.19).25
        ≥75175 (12.7)135 (15.5)0.85 (0.55–1.35).50
    Race/ethnicity<.001
        Non-Hispanic white1144 (85.1)637 (75.3)Reference
        Non-Hispanic black167 (12.4)177 (20.9)1.76 (1.37–2.27)<.001
        Hispanic20 (1.5)20 (2.4)1.72 (0.91–3.28).10
        Non-Hispanic other13 (1.0)12 (1.4)1.48 (0.68–3.22).33
    Education.04
        Less than high school75 (5.9)73 (9.1)Reference
        High school graduate316 (24.8)205 (25.6)0.86 (0.61–1.26).48
        Some college275 (21.6)179 (22.3)0.92 (0.63–1.36).69
        College graduate214 (16.8)127 (15.8)0.97 (0.64–1.46).87
        More than college396 (31.0)218 (27.2)0.91 (0.62–1.32).62
    Insurance.28
        Private783 (57.5)469 (54.3)Reference
        Medicaid34 (2.5)31 (3.6)0.87 (0.50–1.50).61
        Medicare539 (39.6)361 (41.8)1.04 (0.82–1.33).74
        None6 (0.4)3 (0.4)0.66 (0.16–2.70).56
    Employment<.001
        Unemployed/other117 (9.2)116 (14.5)Reference
        Employed579 (45.3)309 (38.6)0.75 (0.54–1.04).09
        Retired581 (45.5)376 (46.9)0.83 (0.59–1.14).24
    Marital Status.08
        Single241 (17.7)179 (20.7)Reference
        Married1122 (82.3)688 (79.4)1.03 (0.81–1.30).84
    10-Year mortality risk<.001
        <25%395 (30.3)221 (27.3)Reference
        25–50%486 (37.2)250 (30.9)1.10 (0.79–1.54).54
        50–75%299 (22.9)244 (30.1)1.62 (1.11–2.36).01
        ≥75%125 (9.6)95 (11.7)1.36 (0.87–2.13).18
    Gleason score.73
        ≤6554 (41.3)336 (39.6)Reference
        7549 (40.9)359 (42.3)1.03 (0.84–1.25).77
        >7238 (17.8)153 (18.0)1.03 (0.80–1.34).80
    Clinical tumor stage.92
        1984 (72.8)627 (73.0)Reference
        2335 (24.8)214 (24.9)0.99 (0.80–1.22).93
        332 (2.4)18 (2.1)0.88 (0.48–1.62).68
    • ↵* χ2 Test.

    • ↵† Imputed data, adjusted for age, race, education, insurance, employment, marital status, life expectancy, Gleason score, and clinical stage.

    • CI, confidence interval.

    • View popup
    Appendix Table 1.

    Demographic and Clinical Characteristics of Responders and Non-Responders

    CharacteristicResponders N (%) n = 2386Non-responders N (%) n = 2286P-value*
    Age (years)0.044
        <60704 (29.5)712 (31.2)
        60–64511 (21.4)492 (21.5)
        65–69559 (23.4)464 (20.3)
        70–74349 (14.6)323 (14.1)
        ≥75263 (11.0)294 (12.9)
        Missing0 (0.0)1 (0.0)
    Race/ethnicity<0.0001
        Non-Hispanic White1850 (77.5)1405 (61.5)
        Non-Hispanic Black391 (16.4)691 (30.2)
        Hispanic32 (1.3)88 (3.9)
        Non-Hispanic Other0 (0.0)0 (0.0)
        Missing113 (4.7)102 (4.5)
    Insurance0.058
        Private1310 (54.9)1198 (50.9)
        Medicaid73 (3.1)102 (4.5)
        Medicare958 (40.2)921 (40.3)
        None/Other19 (0.8)20 (0.9)
        Missing26 (1.1)45 (2.0)
    Gleason score0.317
        <7944 (39.6)901 (39.4)
        7953 (39.9)896 (39.2)
        >7414 (17.4)348 (15.2)
        Missing75 (3.1)141 (6.2)
    Clinical tumor stage0.446
        Stage 11706 (71.5)1649 (72.1)
        Stage 2574 (24.1)514 (22.5)
        Stage 358 (2.4)62 (2.7)
        Missing48 (2.0)61 (2.7)
    Treatment
        Surgery1230 (51.6)1053 (46.1)0.496
        Missing386 (16.2)543 (23.8)
        Radiation therapy703 (29.5)602 (26.3)0.539
        Missing399 (16.7)537 (23.5)
        Hormone therapy326 (13.7)319 (14.0)0.122
        Missing423 (17.7)566 (24.8)
    Active Treatment<0.001
        No393 (16.5)567 (24.8)
        Yes1897 (79.5)1620 (70.9)
        Missing96 (4.0)99 (4.3)
    • ↵* Using chi squared tests.

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The Journal of the American Board of Family     Medicine: 30 (3)
The Journal of the American Board of Family Medicine
Vol. 30, Issue 3
May-June 2017
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When Primary Care Providers (PCPs) Help Patients Choose Prostate Cancer Treatment
Archana Radhakrishnan, David Grande, Michelle Ross, Nandita Mitra, Justin Bekelman, Christian Stillson, Craig Evan Pollack
The Journal of the American Board of Family Medicine May 2017, 30 (3) 298-307; DOI: 10.3122/jabfm.2017.03.160359

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When Primary Care Providers (PCPs) Help Patients Choose Prostate Cancer Treatment
Archana Radhakrishnan, David Grande, Michelle Ross, Nandita Mitra, Justin Bekelman, Christian Stillson, Craig Evan Pollack
The Journal of the American Board of Family Medicine May 2017, 30 (3) 298-307; DOI: 10.3122/jabfm.2017.03.160359
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