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Research ArticleOriginal Research

Effect of Continuity of Care on Hospital Utilization for Seniors With Multiple Medical Conditions in an Integrated Health Care System

Elizabeth A. Bayliss, Jennifer L. Ellis, Jo Ann Shoup, Chan Zeng, Deanna B. McQuillan and John F. Steiner
The Annals of Family Medicine March 2015, 13 (2) 123-129; DOI: https://doi.org/10.1370/afm.1739
Elizabeth A. Bayliss
1Institute for Health Research, Kaiser Permanente Colorado, Denver, Colorado
2Department of Family Medicine, University of Colorado Denver, Aurora, Colorado
MD, MSPH
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  • For correspondence: elizabeth.bayliss@kp.org
Jennifer L. Ellis
1Institute for Health Research, Kaiser Permanente Colorado, Denver, Colorado
MSPH
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Jo Ann Shoup
1Institute for Health Research, Kaiser Permanente Colorado, Denver, Colorado
MA
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Chan Zeng
1Institute for Health Research, Kaiser Permanente Colorado, Denver, Colorado
PhD
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Deanna B. McQuillan
1Institute for Health Research, Kaiser Permanente Colorado, Denver, Colorado
MA
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John F. Steiner
1Institute for Health Research, Kaiser Permanente Colorado, Denver, Colorado
3Department of Internal Medicine, University of Colorado Denver, Aurora, Colorado
MD, MPH
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    Figure 1

    Subcohorts used for analyses of each outcome.

    Note: Numbers of visits refer to visits used to calculate Continuity of Care Index (between baseline and outcome).

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    Table 1

    Characteristics of Analytic Subcohorts for Each Outcome

    CharacteristicInpatient Admissions Emergency Department Visits
    Primary Care a (n = 8,863) Mean (SD)Specialty Carea (n = 6,724) Mean (SD)Primary and Specialty Carea (n = 5,660) Mean (SD)Primary Carea (n = 8,706) Mean (SD)Specialty Carea (n = 6,738) Mean (SD)Primary and Specialty Carea (n = 5,713) Mean (SD)
    Age, y76.0 (6.0)75.8 (5.9)76.0 (5.9)75.9 (6.0)75.8 (5.8)76.0 (5.8)
    Morbidity burdenb4.3 (2.4)4.4 (2.5)4.4 (2.5)4.3 (2.5)4.5 (2.5)4.5 (2.5)
    Baseline visits, No.
     Primary care3.8 (2.8)3.8 (2.8)4.0 (2.9)3.7 (2.8)3.7 (2.8)3.9 (2.8)
     Specialty care3.2 (3.6)4.1 (3.9)4.1 (4.0)3.3 (3.7)4.1 (4.0)4.1 (4.0)
    COCIc
     Primary care0.6 (0.3)–0.6 (0.3)0.6 (0.3)–0.6 (0.3)
     Specialty care–0.2 (0.2)0.2 (0.2)–0.2 (0.2)0.2 (0.2)
    PercentPercentPercentPercentPercentPercent
    Female sex56.455.055.455.654.254.2
    Race/ethnicity
     White78.880.881.079.181.181.2
     Black4.44.14.04.23.93.8
     Hispanic10.59.29.410.39.19.4
     Other1.81.71.61.81.71.7
     Unknown4.64.23.94.54.23.9
    Low socioeconomic status15.414.314.215.014.213.8
    Baseline utilization
     Inpatient admissions16.918.718.7–––
     Emergency department visits–––17.017.517.8
    Experienced any outcomed21.722.820.622.923.420.4
    • COCI = Continuity of Care Index.27

    • ↵a Three visits required for subcohort entry.

    • ↵b According to the Quan-adapted Elixhauser comorbidity index.28

    • ↵c Last measured before outcome or censoring. Possible values range from 0 to 1 with higher scores indicating greater continuity.

    • ↵d Hospital admission or emergency department visit.

    • View popup
    Table 2

    Effect of Continuity of Care and Morbidity Burden on Adjusted Hazard Ratios of Inpatient Admissions

    Predictive VariableSubcohorta
    Primary Care, HRb (95% CI) (n = 8,863)Specialty Care, HRb (95% CI) (n = 6,724)Primary and Specialty Care, HRb (95% CI) (n = 5,660)
    Primary care continuity (COCI)0.97 (0.96–0.99)c–0.99 (0.97–1.01)
    Specialty care continuity (COCI)–0.95 (0.93–0.98)c0.94 (0.92–0.97)c
    Morbidity burdend1.12 (1.10–1.14)c1.09 (1.06–1.11)c1.09 (1.06–1.12)c
    • COCI = Continuity of Care Index27; HR = hazard ratio.

    • ↵a Three or more visits of any type required for subcohort membership.

    • ↵b Adjusted for age, sex, race/ethnicity, socioeconomic status, and prior year primary care, specialty care, and baseline inpatient admissions. HR is for each 0.1-unit increase in COCI.

    • ↵c Significant at P ≤.05.

    • ↵d According to the Quan-adapted Elixhauser comorbidity index.28 HR is for 1-unit increase in morbidity score.

    • View popup
    Table 3

    Effect of Continuity of Care and Morbidity Burden on Adjusted Hazard Ratios of Emergency Department Visits

    Predictive VariablesSubcohorta
    Primary Care, HR (95% CI)b (n = 8,706)Specialty Care, HR (95% CI)b (n = 6,738)Primary and Specialty Care, HR (95% CI)b (n = 5,713)
    Primary care continuity (COCI)0.97 (0.96–0.98)c–0.98 (0.96–1.00)c
    Specialty care continuity (COCI)–0.98 (0.96–1.00)c0.98 (0.95–1.00)
    Morbidity burdend1.06 (1.04–1.08)c1.05 (1.03–1.07)c1.06 (1.03–1.08)c
    • COCI = Continuity of Care Index27; HR = hazard ratio.

    • ↵a Three or more visits of any type required for subcohort membership.

    • ↵b Adjusted for age, sex, race/ethnicity, socioeconomic status, and prior year primary care, specialty care, and baseline emergency department visits. HR is for each 0.1-unit increase in COCI.

    • ↵c Significant at P ≤.05.

    • ↵d According to the Quan-adapted Elixhauser comorbidity index.28 HR is for 1-unit increase in morbidity score.

Additional Files

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  • The Article in Brief

    Effect of Continuity of Care on Hospital Utilization for Seniors With Multiple Medical Conditions in an Integrated Health Care System

    Elizabeth A. Bayliss , and colleagues

    Background Continuity of care refers to an ongoing health care relationship. Low continuity of care is associated with more inappropriate medication prescribing, higher cost of care, more avoidable hospitalizations, and greater use of emergency services. This study looks at whether interpersonal continuity (seeing the same clinician over time) is associated with rates of hospital admissions and emergency department use among seniors with multiple chronic medical conditions. The study takes place in an integrated system of health care delivery with high informational continuity (clinical information is available to all clinicians caring for a patient) through shared electronic records.

    What This Study Found Greater primary care and specialty care continuity are each associated with lower inpatient admission and lower risk of emergency department visits. For patients with three or more primary care and three or more specialty care visits, specialty care continuity, but not primary care continuity, is associated with a decreased risk of hospital admissions; primary care continuity, but not specialty care continuity, is associated with a decreased risk of emergency department visits.

    Implications

    • Different subgroups of patients will benefit from continuity with primary and specialty care clinicians depending on their care needs.
    • Interpersonal continuity may have a beneficial effect on utilization independent of the informational continuity provided by electronic medical records.
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The Annals of Family Medicine: 13 (2)
The Annals of Family Medicine: 13 (2)
Vol. 13, Issue 2
March/April 2015
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Effect of Continuity of Care on Hospital Utilization for Seniors With Multiple Medical Conditions in an Integrated Health Care System
Elizabeth A. Bayliss, Jennifer L. Ellis, Jo Ann Shoup, Chan Zeng, Deanna B. McQuillan, John F. Steiner
The Annals of Family Medicine Mar 2015, 13 (2) 123-129; DOI: 10.1370/afm.1739

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Effect of Continuity of Care on Hospital Utilization for Seniors With Multiple Medical Conditions in an Integrated Health Care System
Elizabeth A. Bayliss, Jennifer L. Ellis, Jo Ann Shoup, Chan Zeng, Deanna B. McQuillan, John F. Steiner
The Annals of Family Medicine Mar 2015, 13 (2) 123-129; DOI: 10.1370/afm.1739
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