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Research ArticleOriginal Research

Impact of Continuity of Care on Mortality and Health Care Costs: A Nationwide Cohort Study in Korea

Dong Wook Shin, Juhee Cho, Hyung Kook Yang, Jae Hyun Park, Hyejin Lee, Hyunsu Kim, Juhwan Oh, Soohee Hwang, BeLong Cho and Eliseo Guallar
The Annals of Family Medicine November 2014, 12 (6) 534-541; DOI: https://doi.org/10.1370/afm.1685
Dong Wook Shin
Department of Family Medicine & Health Promotion Center, Seoul National University Hospital, Seoul, Republic of Korea (D.W.S., H.L., H.K., B.C.); Department of Family Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea (D.W.S., H.L., B.C.); JW Lee Center for Global Medicine, College of Medicine, Seoul National University, Republic of Korea (D.W.S.); Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea (J.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C., E.G.); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C.); Cancer Policy Branch, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea (H.K.Y.); Department of Social and Preventive Medicine, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (J.H.P.); Department of Health Policy and Management, College of Medicine, Seoul National University, Seoul, Republic of Korea (J.O., H.K.Y.); Health Insurance Review & Assessment Research Institute, Health Insurance Review and Assessment Service, Seoul, Republic of Korea (S.H.); Department of Medicine and Welch Center for Prevention, Epidemiology, and Clincal Research, Johns Hopkins Medical Institutions, Baltimore, Maryland (E.G.); Area of Cardiovascular Epidemiology and Population Genetics, National Center for Cardiovascular Research (CNIC), Madrid, Spain (E.G.)
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Juhee Cho
Department of Family Medicine & Health Promotion Center, Seoul National University Hospital, Seoul, Republic of Korea (D.W.S., H.L., H.K., B.C.); Department of Family Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea (D.W.S., H.L., B.C.); JW Lee Center for Global Medicine, College of Medicine, Seoul National University, Republic of Korea (D.W.S.); Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea (J.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C., E.G.); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C.); Cancer Policy Branch, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea (H.K.Y.); Department of Social and Preventive Medicine, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (J.H.P.); Department of Health Policy and Management, College of Medicine, Seoul National University, Seoul, Republic of Korea (J.O., H.K.Y.); Health Insurance Review & Assessment Research Institute, Health Insurance Review and Assessment Service, Seoul, Republic of Korea (S.H.); Department of Medicine and Welch Center for Prevention, Epidemiology, and Clincal Research, Johns Hopkins Medical Institutions, Baltimore, Maryland (E.G.); Area of Cardiovascular Epidemiology and Population Genetics, National Center for Cardiovascular Research (CNIC), Madrid, Spain (E.G.)
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Hyung Kook Yang
Department of Family Medicine & Health Promotion Center, Seoul National University Hospital, Seoul, Republic of Korea (D.W.S., H.L., H.K., B.C.); Department of Family Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea (D.W.S., H.L., B.C.); JW Lee Center for Global Medicine, College of Medicine, Seoul National University, Republic of Korea (D.W.S.); Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea (J.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C., E.G.); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C.); Cancer Policy Branch, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea (H.K.Y.); Department of Social and Preventive Medicine, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (J.H.P.); Department of Health Policy and Management, College of Medicine, Seoul National University, Seoul, Republic of Korea (J.O., H.K.Y.); Health Insurance Review & Assessment Research Institute, Health Insurance Review and Assessment Service, Seoul, Republic of Korea (S.H.); Department of Medicine and Welch Center for Prevention, Epidemiology, and Clincal Research, Johns Hopkins Medical Institutions, Baltimore, Maryland (E.G.); Area of Cardiovascular Epidemiology and Population Genetics, National Center for Cardiovascular Research (CNIC), Madrid, Spain (E.G.)
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Jae Hyun Park
Department of Family Medicine & Health Promotion Center, Seoul National University Hospital, Seoul, Republic of Korea (D.W.S., H.L., H.K., B.C.); Department of Family Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea (D.W.S., H.L., B.C.); JW Lee Center for Global Medicine, College of Medicine, Seoul National University, Republic of Korea (D.W.S.); Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea (J.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C., E.G.); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C.); Cancer Policy Branch, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea (H.K.Y.); Department of Social and Preventive Medicine, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (J.H.P.); Department of Health Policy and Management, College of Medicine, Seoul National University, Seoul, Republic of Korea (J.O., H.K.Y.); Health Insurance Review & Assessment Research Institute, Health Insurance Review and Assessment Service, Seoul, Republic of Korea (S.H.); Department of Medicine and Welch Center for Prevention, Epidemiology, and Clincal Research, Johns Hopkins Medical Institutions, Baltimore, Maryland (E.G.); Area of Cardiovascular Epidemiology and Population Genetics, National Center for Cardiovascular Research (CNIC), Madrid, Spain (E.G.)
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Hyejin Lee
Department of Family Medicine & Health Promotion Center, Seoul National University Hospital, Seoul, Republic of Korea (D.W.S., H.L., H.K., B.C.); Department of Family Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea (D.W.S., H.L., B.C.); JW Lee Center for Global Medicine, College of Medicine, Seoul National University, Republic of Korea (D.W.S.); Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea (J.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C., E.G.); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C.); Cancer Policy Branch, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea (H.K.Y.); Department of Social and Preventive Medicine, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (J.H.P.); Department of Health Policy and Management, College of Medicine, Seoul National University, Seoul, Republic of Korea (J.O., H.K.Y.); Health Insurance Review & Assessment Research Institute, Health Insurance Review and Assessment Service, Seoul, Republic of Korea (S.H.); Department of Medicine and Welch Center for Prevention, Epidemiology, and Clincal Research, Johns Hopkins Medical Institutions, Baltimore, Maryland (E.G.); Area of Cardiovascular Epidemiology and Population Genetics, National Center for Cardiovascular Research (CNIC), Madrid, Spain (E.G.)
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Hyunsu Kim
Department of Family Medicine & Health Promotion Center, Seoul National University Hospital, Seoul, Republic of Korea (D.W.S., H.L., H.K., B.C.); Department of Family Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea (D.W.S., H.L., B.C.); JW Lee Center for Global Medicine, College of Medicine, Seoul National University, Republic of Korea (D.W.S.); Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea (J.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C., E.G.); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C.); Cancer Policy Branch, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea (H.K.Y.); Department of Social and Preventive Medicine, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (J.H.P.); Department of Health Policy and Management, College of Medicine, Seoul National University, Seoul, Republic of Korea (J.O., H.K.Y.); Health Insurance Review & Assessment Research Institute, Health Insurance Review and Assessment Service, Seoul, Republic of Korea (S.H.); Department of Medicine and Welch Center for Prevention, Epidemiology, and Clincal Research, Johns Hopkins Medical Institutions, Baltimore, Maryland (E.G.); Area of Cardiovascular Epidemiology and Population Genetics, National Center for Cardiovascular Research (CNIC), Madrid, Spain (E.G.)
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Juhwan Oh
Department of Family Medicine & Health Promotion Center, Seoul National University Hospital, Seoul, Republic of Korea (D.W.S., H.L., H.K., B.C.); Department of Family Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea (D.W.S., H.L., B.C.); JW Lee Center for Global Medicine, College of Medicine, Seoul National University, Republic of Korea (D.W.S.); Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea (J.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C., E.G.); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C.); Cancer Policy Branch, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea (H.K.Y.); Department of Social and Preventive Medicine, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (J.H.P.); Department of Health Policy and Management, College of Medicine, Seoul National University, Seoul, Republic of Korea (J.O., H.K.Y.); Health Insurance Review & Assessment Research Institute, Health Insurance Review and Assessment Service, Seoul, Republic of Korea (S.H.); Department of Medicine and Welch Center for Prevention, Epidemiology, and Clincal Research, Johns Hopkins Medical Institutions, Baltimore, Maryland (E.G.); Area of Cardiovascular Epidemiology and Population Genetics, National Center for Cardiovascular Research (CNIC), Madrid, Spain (E.G.)
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Soohee Hwang
Department of Family Medicine & Health Promotion Center, Seoul National University Hospital, Seoul, Republic of Korea (D.W.S., H.L., H.K., B.C.); Department of Family Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea (D.W.S., H.L., B.C.); JW Lee Center for Global Medicine, College of Medicine, Seoul National University, Republic of Korea (D.W.S.); Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea (J.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C., E.G.); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C.); Cancer Policy Branch, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea (H.K.Y.); Department of Social and Preventive Medicine, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (J.H.P.); Department of Health Policy and Management, College of Medicine, Seoul National University, Seoul, Republic of Korea (J.O., H.K.Y.); Health Insurance Review & Assessment Research Institute, Health Insurance Review and Assessment Service, Seoul, Republic of Korea (S.H.); Department of Medicine and Welch Center for Prevention, Epidemiology, and Clincal Research, Johns Hopkins Medical Institutions, Baltimore, Maryland (E.G.); Area of Cardiovascular Epidemiology and Population Genetics, National Center for Cardiovascular Research (CNIC), Madrid, Spain (E.G.)
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BeLong Cho
Department of Family Medicine & Health Promotion Center, Seoul National University Hospital, Seoul, Republic of Korea (D.W.S., H.L., H.K., B.C.); Department of Family Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea (D.W.S., H.L., B.C.); JW Lee Center for Global Medicine, College of Medicine, Seoul National University, Republic of Korea (D.W.S.); Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea (J.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C., E.G.); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C.); Cancer Policy Branch, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea (H.K.Y.); Department of Social and Preventive Medicine, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (J.H.P.); Department of Health Policy and Management, College of Medicine, Seoul National University, Seoul, Republic of Korea (J.O., H.K.Y.); Health Insurance Review & Assessment Research Institute, Health Insurance Review and Assessment Service, Seoul, Republic of Korea (S.H.); Department of Medicine and Welch Center for Prevention, Epidemiology, and Clincal Research, Johns Hopkins Medical Institutions, Baltimore, Maryland (E.G.); Area of Cardiovascular Epidemiology and Population Genetics, National Center for Cardiovascular Research (CNIC), Madrid, Spain (E.G.)
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  • For correspondence: belong@snu.ac.kr
Eliseo Guallar
Department of Family Medicine & Health Promotion Center, Seoul National University Hospital, Seoul, Republic of Korea (D.W.S., H.L., H.K., B.C.); Department of Family Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea (D.W.S., H.L., B.C.); JW Lee Center for Global Medicine, College of Medicine, Seoul National University, Republic of Korea (D.W.S.); Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea (J.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C., E.G.); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.C.); Cancer Policy Branch, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea (H.K.Y.); Department of Social and Preventive Medicine, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (J.H.P.); Department of Health Policy and Management, College of Medicine, Seoul National University, Seoul, Republic of Korea (J.O., H.K.Y.); Health Insurance Review & Assessment Research Institute, Health Insurance Review and Assessment Service, Seoul, Republic of Korea (S.H.); Department of Medicine and Welch Center for Prevention, Epidemiology, and Clincal Research, Johns Hopkins Medical Institutions, Baltimore, Maryland (E.G.); Area of Cardiovascular Epidemiology and Population Genetics, National Center for Cardiovascular Research (CNIC), Madrid, Spain (E.G.)
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  • For correspondence: eguallar@jhsph.edu
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    Figure 1

    Flowchart of study participants.

    NHI = National Health Insurance; CV = cardiovascular.

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    Table 1

    Description of Study Population (N = 47,433)

    CharacteristicsValue
    Age, years
     Mean (SD)54.2 (12.5)
     Median (range)54 (20–100)
    Sex, No. (%)
     Male24,060 (50.7)
     Female23,373 (49.3)
    Premium in Korean wona
     Mean (SD)45,567 (37,077)
    Income level, No. (%)
     1st quartile; low12,062 (25.4)
     2nd quartile11,692 (24.6)
     3rd quartile12,360 (26.1)
     4th quartile; high11,319 (23.9)
    Place of residence, No. (%)
     Metropolitan area24,742 (52.8)
     City area16,830 (35.9)
     Rural area5,327 (11.4)
    Charlson comorbidity score
     Mean (SD)0.49 (0.81)
     Median (range)0 (0–11)
    Number of visits, mean (SD)
     During the first 2 years14.4 (7.9)
     During the second 2 years14.2 (10.9)
     During the third 2 years15.7 (14.7)
    Continuity of care indices, median (interquartile range)
     Most frequent provider continuity (MFPC)0.88 (0.67–1.00)
     Modified, modified continuity index (MMCI)0.93 (0.84–1.00)
     Continuity of care index (COC)0.77 (0.49–1.00)
    • ↵a $1 (US) = ₩1,100 (Korean won), as of 2012.

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    Table 2

    Risk of Death and Cardiovascular Endpoints by Level of Continuity of Care (N = 47,433)

    Most Frequent Provider ContinuityModified, Modified Continuity IndexContinuity of Care Index
    EndpointAbove MedianBelow MedianAbove MedianBelow MedianAbove MedianBelow Median
    All cause mortality
     No. of deaths (deaths per 1,000 py)1,340 (11.5)1,787 (15.4)1,296 (11.3)1,831 (15.5)1,345 (11.6)1,782 (15.4)
     Crude HR (95% CI)1.00 (Ref)1.33 (1.24–1.43)1.00 (Ref)1.37 (1.28–1.47)1.00 (Ref)1.33 (1.24–1.43)
     Multivariable-adjusted HRa (95% CI)1.00 (Ref)1.13 (1.05–1.21)1.00 (Ref)1.13 (1.05–1.21)1.00 (Ref)1.12 (1.04–1.21)
    Cardiovascular mortality
     No. of deaths (deaths per 1,000 py)321 (2.8)494 (4.3)299 (2.6)516 (4.4)321 (2.8)494 (4.3)
     Crude HR (95% CI)1.00 (Ref)1.54 (1.34–1.77)1.00 (Ref)1.67 (1.45–1.93)1.00 (Ref)1.54 (1.34–1.77)
     Multivariable-adjusted HRa (95% CI)1.00 (Ref)1.30 (1.12–1.50)1.00 (Ref)1.40 (1.21–1.62)1.00 (Ref)1.30 (1.13–1.50)
    Noncardiovascular mortality
     No. of deaths (deaths per 1,000 py)1,019 (8.8)1,293 (11.1)997 (8.7)1,315 (11.2)1,024 (8.8)1,288 (11.1)
     Crude HR (95% CI)1.00 (Ref)1.27 (1.17–1.38)1.00 (Ref)1.28 (1.18–1.39)1.00 (Ref)1.26 (1.16–1.37)
     Multivariable-adjusted HRa (95% CI)1.00 (Ref)1.07 (0.99–1.17)1.00 (Ref)1.05 (0.96–1.14)1.00 (Ref)1.07 (0.98–1.16)
    Myocardial infarctiona
     No. of incident events (incident events per 1,000 py)144 (1.2)232 (2.0)147 (1.3)229 (1.9)144 (1.2)232 (2.0)
     Crude HR (95% CI)1.00 (Ref)1.61 (1.31–1.98)1.00 (Ref)1.51 (1.23–1.86)1.00 (Ref)1.62 (1.31–1.99)
     Multivariable-adjusted HRa (95% CI)1.00 (Ref)1.57 (1.27–1.94)1.00 (Ref)1.51 (1.22–1.87)1.00 (Ref)1.57 (1.28–1.95)
    Cerebral infarctionb
     No. of incident events (incident events per 1,000 py)427 (3.8)668 (6.0)422 (3.8)673 (6.0)427 (3.8)668 (6.0)
     Crude HR (95% CI)1.00 (Ref)1.59 (1.41–1.80)1.00 (Ref)1.58 (1.40–1.78)1.00 (Ref)1.60 (1.41–1.80)
     Multivariable-adjusted HRa (95% CI)1.00 (Ref)1.43 (1.27–1.62)1.00 (Ref)1.43 (1.26–1.63)1.00 (Ref)1.44 (1.27–1.63)
    Cerebral hemorrhageb
     No. of incident events (incident events per 1,000 py)141 (1.2)184 (1.6)136 (1.2)189 (1.6)141 (1.2)184 (1.6)
     Crude HR (95% CI)1.00 (Ref)1.30 (1.05–1.62)1.00 (Ref)1.35 (1.08–1.68)1.00 (Ref)1.31 (1.05–1.63)
     Multivariable-adjusted HRa (95% CI)1.00 (Ref)1.19 (0.95–1.49)1.00 (Ref)1.20 (0.96–1.52)1.00 (Ref)1.19 (0.95–1.49)
    • CI = confidence interval; HR = hazard ratio; py = person-year; Ref = reference value.

    • ↵a Multivariable adjustments included age, sex, income, Charlson comorbidity index, number of visits during the first 2 years, and residential area (for detail, see text).

    • ↵b Excluding those who developed the indicated outcome during the first 2 years after diagnosis.

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    Table 3

    Risk of Death and Cardiovascular Outcomes by Level of Continuity of Care in Time-Dependent Analyses (N = 47,433)

    Most Frequent Provider ContinuityModified, Modified Continuity IndexContinuity of Care Index
    OutcomeAbove MedianBelow MedianAbove MedianBelow MedianAbove MedianBelow Median
    All cause death
     Crude HR (95% CI)1.00 (Ref)1.48 (1.38–1.59)1.00 (Ref)1.49 (1.39–1.61)1.00 (Ref)1.48 (1.38–1.59)
     Multivariable-adjusted HRa (95% CI)1.00 (Ref)1.32 (1.23–1.42)1.00 (Ref)1.30 (1.21–1.41)1.00 (Ref)1.32 (1.23–1.42)
    Cardiovascular mortality
     Crude HR (95% CI)1.00 (Ref)1.54 (1.34–1.78)1.00 (Ref)1.68 (1.46–1.94)1.00 (Ref)1.55 (1.34–1.78)
     Multivariable-adjusted HRa (95% CI)1.00 (Ref)1.30 (1.13–1.50)1.00 (Ref)1.40 (1.21–1.63)1.00 (Ref)1.31 (1.13–1.51)
    Non-cardiovascular mortality
     Crude HR (95% CI)1.00 (Ref)1.27 (1.17–1.38)1.00 (Ref)1.29 (1.19–1.40)1.00 (Ref)1.27 (1.17–1.37)
     Multivariable-adjusted HRa (95% CI)1.00 (Ref)1.08 (0.99–1.17)1.00 (Ref)1.05 (0.96–1.14)1.00 (Ref)1.07 (0.99–1.16)
    Myocardial infarctionb
     Crude HR (95% CI)1.00 (Ref)1.56 (1.27–1.92)1.00 (Ref)1.45 (1.17–1.78)1.00 (Ref)1.54 (1.25–1.89)
     Multivariable-adjusted HRa (95% CI)1.00 (Ref)1.61 (1.30–1.99)1.00 (Ref)1.50 (1.22–1.87)1.00 (Ref)1.59 (1.28–1.96)
    Cerebral infarctionb
     Crude HR (95% CI)1.00 (Ref)1.52 (1.34–1.71)1.00 (Ref)1.51 (1.34–1.71)1.00 (Ref)1.54 (1.36–1.74)
     Multivariable-adjusted HRa (95% CI)1.00 (Ref)1.39 (1.23–1.58)1.00 (Ref)1.40 (1.24–1.60)1.00 (Ref)1.42 (1.25–1.61)
    Cerebral hemorrhageb
     Crude HR (95% CI)1.00 (Ref)0.95 (0.76–1.18)1.00 (Ref)1.04 (0.83–1.29)1.00 (Ref)0.98 (0.79–1.22)
     Multivariable-adjusted HRa (95% CI)1.00 (Ref)0.87 (0.69–1.08)1.00 (Ref)0.93 (0.74–1.17)1.00 (Ref)0.89 (0.71–1.12)
    • HR= hazard ratio; CI = confidence interval; Ref = reference standard.

    • ↵a Multivariable adjustments included age, sex, income, Charlson comorbidity index, number of visits during the first 2 years, and residential area (for detail, see text).

    • ↵b Excluding those who developed the indicated outcome during the first 2 years after diagnosis.

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    Table 4

    Health Care Utilization and Costs by Level of Continuity of Care (N = 47,433)

    Most Frequent Provider ContinuityModifed, Modifed Continuity IndexContinuity of Care Index
    CharacteristicAbove MedianBelow MedianAbove MedianBelow MedianAbove MedianBelow Median
    Health care utilization, adjusted meana (SE)
     Total inpatient days (2005–2010)7.4 (0.4)11.4 (0.4)7.4 (0.4)11.4 (0.4)7.4 (0.4)11.4 (0.4)
     Difference (95% CI)4.0 (2.8–5.2)4.0 (2.8–5.2)4.0 (2.9–5.2)
     Total outpatient days (2005–2010)2 2.5 (0.2)25.4 (0.2)22.1 (0. 2)25.8 (0.2)22.5 (0.2)25.4 (0.2)
     Difference (95% CI)2.9 (2.3–3.4)3.7 (3.1–4.2)2.9 (2.3–3.5)
    Health care costs, 2005–2010, $ (US)
     Total inpatient cost, adjusted meana (SE)853.7 (31.7)1294.5 (31.6)844.7 (32.3)1297.1 (31.7)851.5 (31.7)1297.3 (31.6)
     Difference (95% CI)440.9 (352.6–529.2)452.4 (362.3–542.5)4 45.7 (357.5 – 53 4.0)
     Total outpatient cost, adjusted meana (SE)457.5 (17.7)574.6 (17.6)446.5(18.0)5 83. 6 (17.7)456.1 (17.7)576 .1 (17.6)
     Difference (95% CI)117. 0 (67.7–16 6.3)136.7 (86.5–187.0)119.7 (70.5–169.0)
     Total cost, adjusted meana (SE)1311.1 (38.0)1869.2 (37.9)1291.3 (38.6)1880.6 (38.0)13 07.7 (37.9)18 7 3.4 (37.9)
     Difference (95% CI)557.9 (452.3–663.5)589.1 (481.4–696.9)565.5 (459.8–671.2)
    • CI = confidence interval; SE = standard error. $1 (US) = ₩1,100 (Korean won), as of 2012.

    • Note: All P values comparing above to below median utilization and cost parameters <0.001.

    • ↵a Multivariable adjustments included age, sex, income level (quartile), Charlson comorbidity index, number of visits during the first 2 years, and residential area (for detail, see text).

Additional Files

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    Supplemental Appendixes 1-8

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    • Supplemental data: Appendixes 1-8 - PDF file, 12 pages + cover
  • In Brief

    Impact of Continuity of Care on Mortality and Health Care Costs: A Nationwide Cohort Study in Korea

    Dong Wook Shin , and colleagues

    Background Continuity of care, defined as an ongoing partnership between patient and clinician, is considered a core element of high-quality primary care, but its impact on mortality and health care costs is unclear. This study aims to determine the impact of continuity of care on mortality and health outcomes and costs in patients with newly diagnosed cardiovascular risk factors.

    What This Study Found The study found that continuity of care is associated with reduced mortality, morbidity, and health care expenses and may provide added value in the management of chronic conditions. In particular, the study examined a random sample of more than 1,000,000 Korean National Health Insurance enrollees, 47,433 of whom had received new diagnoses of hypertension, diabetes, hypercholesterolemia or other complications. Evaluating the association of three standard indices of continuity of care with patients' overall mortality, cardiovascular mortality, incident cardiovascular events and health care costs over five years, lower indices of continuity of care were associated with higher all-cause and cardiovascular mortality, cardiovascular events and health care costs. Lower continuity of care was associated with increased inpatient and outpatient days and costs.

    Implications

    • While the findings cannot be generalized to other conditions, the results suggest that continuity of care is a robust predictor of outcomes in patients for conditions with available preventive interventions.
    • The authors suggest that, with increasing fragmentation of health care systems and importance of cost containment, health care systems should be designed to support longer-term trusting relationships between patients and physicians, and health policies should encourage patients to concentrate their care with one physician.
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The Annals of Family Medicine: 12 (6)
The Annals of Family Medicine: 12 (6)
Vol. 12, Issue 6
November/December 2014
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Impact of Continuity of Care on Mortality and Health Care Costs: A Nationwide Cohort Study in Korea
Dong Wook Shin, Juhee Cho, Hyung Kook Yang, Jae Hyun Park, Hyejin Lee, Hyunsu Kim, Juhwan Oh, Soohee Hwang, BeLong Cho, Eliseo Guallar
The Annals of Family Medicine Nov 2014, 12 (6) 534-541; DOI: 10.1370/afm.1685

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Impact of Continuity of Care on Mortality and Health Care Costs: A Nationwide Cohort Study in Korea
Dong Wook Shin, Juhee Cho, Hyung Kook Yang, Jae Hyun Park, Hyejin Lee, Hyunsu Kim, Juhwan Oh, Soohee Hwang, BeLong Cho, Eliseo Guallar
The Annals of Family Medicine Nov 2014, 12 (6) 534-541; DOI: 10.1370/afm.1685
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