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Research ArticleOriginal Articles

Continuity of Primary Care: To Whom Does It Matter and When?

Paul A. Nutting, Meredith A. Goodwin, Susan A. Flocke, Stephen J. Zyzanski and Kurt C. Stange
The Annals of Family Medicine September 2003, 1 (3) 149-155; DOI: https://doi.org/10.1370/afm.63
Paul A. Nutting
MD, MSPH
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Meredith A. Goodwin
MS
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Susan A. Flocke
PhD
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Stephen J. Zyzanski
PhD
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Kurt C. Stange
MD, PhD
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Article Figures & Data

Tables

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    Table 1.

    Characteristics of Patients and Patient Value of Continuity of Care (PVC)

    CharacteristicPVC Mean (SD) or rP Value
    Patient age, years
        0–6 (n = 258)4.48 (0.61)<.001
        7–12 (n = 1464.32 (0.81)
        13–18 (n = 156)4.25 (0.85)
        19–39 (n = 657)4.19 (0.80)
        40–64 (n = 974)4.46 (0.70)
        ≥65 (n = 557)4.67 (0.56)
    Patient sex
        Male (n = 1,049)4.38 (0.73) .015
        Female (n = 1,707)4.44 (0.73)
    Patient race
        White (n = 2,501)4.42 (0.73) .326
        Not white (n = 262)4.38 (0.77)
    Educational level attained
        High school graduate or less (n = 1,014)4.51 (0.70)<.001
        More than high school (n = 1,155)4.35 (0.73)
    Number of visits to practice in last year0.20<.001
    Usual provider continuity index0.14<.001
    Index physician is patient’s regular doctor
        No (n = 232)4.00 (0.86)<.001
        Yes (n = 2,459)4.46 (0.70)
    Years as a patient of the index physician0.22<.001
    Insurance
        Medicare (n = 594)4.66 (0.58)<.001
        Undeterminable (n = 19)4.58 (0.49)
        Unclassified (n = 24)4.47 (0.65)
        Medicaid (n = 146)4.45 (0.71)
        Other (n = 32)4.43 (0.67)
        None (n = 185)4.37 (0.87)
        Managed care (n = 1,087)4.36 (0.73)
        Fee for service (n = 676)4.29 (0.76)
    Number of medications taken0.19<.001
    Number of chronic illnesses0.20<.001
    Self-reported health status
    In general−0.09<.001
    Health problems limit daily activities−0.08<.001
    Bothered by emotional problems−0.01 .576
    Amount of bodily pain−0.07<.001
    Difficulty doing everyday work−0.08<.001
    Summary measure−0.09<.001
    Components of Primary Care Instrument
        Accumulated knowledge0.40<.001
        Coordination of care0.45<.001
        Interpersonal communication0.39<.001
    • View popup
    Table 2.

    Patient’s Assessment of the Adequacy of Their Primary Care Visit as a Function of Valuing Continuity of Care and Seeing Their Regular Physician

    Value of ContinuityMain EffectsInteraction
    Assessment of VisitLowMediumHighValue of ContinuityRegular DoctorValue of Continuity with Regular Doctor
    Note: For the above comparisons, the 6 cell sizes for each comparison ranged from 32–1,167.
    Expectations met
    Regular doctor4.084.374.63<.001<.001 .06
    Not regular doctor3.864.194.14
    Things I wanted to bring up but could not
    Regular doctor2.051.751.42<.001 .48 .36
    Not regular doctor1.951.981.55
    Doctor addressed my main concern
    Regular doctor4.344.674.87<.001 .006 .32
    Not regular doctor4.294.504.65
    Satisfaction with physician
    Regular doctor4.114.364.66<.001<.001<.001
    Not regular doctor3.964.104.04
    Physician’s accumulated knowledge of the patient
    Regular doctor3.103.483.93<.001<.001<.001
    Not regular doctor2.312.352.35
    Coordination of care
    Regular doctor3.303.784.32<.001<.001 .004
    Not regular doctor2.923.013.30
    Interpersonal communication
    Regular doctor3.954.314.63<.001<.001<.001
    Not regular doctor3.673.763.79
    • View popup
    Table 3.

    Regression Models Examining Patient Characteristics, Visit Characteristics, Seeing Regular Physician, and Patient’s Valuing Continuity as Predictors of Patient Rating of Satisfaction with the Physician Visit

    CharacteristicsModel 1Model 2*Model 3 †
    βSE(β)P ValueβSE(β)P ValueβSE(β)P Value
    * Model 2 includes visit characteristics (length and number of problems).
    † Model 3 Includes visit characteristics and interaction of value of continuity and regular physician.
    ‡ Reference category for categorical variables.
    § Reference category is male.
    Patient characteristics
    Age, years
    13–39‡
    0–12.042.044 .340.051.044 .251−.001.045 .984
    40 and older.179.033< .001.156.034<.001.080.034 .019
    Sex§.052.027 .055.037.027 .178.018.028 .514
    Health status.086.018< .001.103.018<.001.084.019< .001
    Number of visits in previous year.009.005 .090.013.005 .020.000.006 .998
    Insurance type
    Fee for service‡
        Managed care−.029.034 .387−.032.034 .341−.053.034 .120
        Medicare.071.042 .087.071.042 .092−.006.044 .901
        Medicaid.047.065 .471.071.065 .275.030.066 .649
        None−.025.056 .663−.037.057 .516−.096.059 .103
        Other−.038.078 .623−.012.078 .878−.075.085 .374
    Visit characteristics
    Length of visit.013.002< .001.013.003<.001
    Number of problems addressed.024.013 .062.010.013 .443
    Continuity
    Visit made to regular physician−.555.231 .017
    Patient value of continuity.105.052 .044
    Interaction of patient value of continuity with regular physician.207.056<.001
    Model R2.025.042.148
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The Annals of Family Medicine: 1 (3)
The Annals of Family Medicine: 1 (3)
Vol. 1, Issue 3
1 Sep 2003
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Continuity of Primary Care: To Whom Does It Matter and When?
Paul A. Nutting, Meredith A. Goodwin, Susan A. Flocke, Stephen J. Zyzanski, Kurt C. Stange
The Annals of Family Medicine Sep 2003, 1 (3) 149-155; DOI: 10.1370/afm.63

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Continuity of Primary Care: To Whom Does It Matter and When?
Paul A. Nutting, Meredith A. Goodwin, Susan A. Flocke, Stephen J. Zyzanski, Kurt C. Stange
The Annals of Family Medicine Sep 2003, 1 (3) 149-155; DOI: 10.1370/afm.63
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Subjects

  • Person groups:
    • Vulnerable populations
  • Methods:
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  • Other research types:
    • Health policy
  • Core values of primary care:
    • Continuity
    • Personalized care
    • Relationship

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