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Identifying subgroups of adult high-cost health care users: a retrospective analysis

James Wick, David J.T. Campbell, Finlay A. McAlister, Braden J. Manns, Marcello Tonelli, Reed F. Beall, Brenda R. Hemmelgarn, Andrew Stewart and Paul E. Ronksley
April 19, 2022 10 (2) E390-E399; DOI: https://doi.org/10.9778/cmajo.20210265
James Wick
Department of Medicine (Wick, Campbell, Manns, Tonelli), Cumming School of Medicine; Department of Community Health Sciences (Campbell, Manns, Tonelli, Beall, Stewart, Ronksley), Cumming School of Medicine; Division of General Internal Medicine, Department of Medicine (McAlister); Department of Medicine, Faculty of Medicine & Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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David J.T. Campbell
Department of Medicine (Wick, Campbell, Manns, Tonelli), Cumming School of Medicine; Department of Community Health Sciences (Campbell, Manns, Tonelli, Beall, Stewart, Ronksley), Cumming School of Medicine; Division of General Internal Medicine, Department of Medicine (McAlister); Department of Medicine, Faculty of Medicine & Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Finlay A. McAlister
Department of Medicine (Wick, Campbell, Manns, Tonelli), Cumming School of Medicine; Department of Community Health Sciences (Campbell, Manns, Tonelli, Beall, Stewart, Ronksley), Cumming School of Medicine; Division of General Internal Medicine, Department of Medicine (McAlister); Department of Medicine, Faculty of Medicine & Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Braden J. Manns
Department of Medicine (Wick, Campbell, Manns, Tonelli), Cumming School of Medicine; Department of Community Health Sciences (Campbell, Manns, Tonelli, Beall, Stewart, Ronksley), Cumming School of Medicine; Division of General Internal Medicine, Department of Medicine (McAlister); Department of Medicine, Faculty of Medicine & Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Marcello Tonelli
Department of Medicine (Wick, Campbell, Manns, Tonelli), Cumming School of Medicine; Department of Community Health Sciences (Campbell, Manns, Tonelli, Beall, Stewart, Ronksley), Cumming School of Medicine; Division of General Internal Medicine, Department of Medicine (McAlister); Department of Medicine, Faculty of Medicine & Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Reed F. Beall
Department of Medicine (Wick, Campbell, Manns, Tonelli), Cumming School of Medicine; Department of Community Health Sciences (Campbell, Manns, Tonelli, Beall, Stewart, Ronksley), Cumming School of Medicine; Division of General Internal Medicine, Department of Medicine (McAlister); Department of Medicine, Faculty of Medicine & Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Brenda R. Hemmelgarn
Department of Medicine (Wick, Campbell, Manns, Tonelli), Cumming School of Medicine; Department of Community Health Sciences (Campbell, Manns, Tonelli, Beall, Stewart, Ronksley), Cumming School of Medicine; Division of General Internal Medicine, Department of Medicine (McAlister); Department of Medicine, Faculty of Medicine & Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Andrew Stewart
Department of Medicine (Wick, Campbell, Manns, Tonelli), Cumming School of Medicine; Department of Community Health Sciences (Campbell, Manns, Tonelli, Beall, Stewart, Ronksley), Cumming School of Medicine; Division of General Internal Medicine, Department of Medicine (McAlister); Department of Medicine, Faculty of Medicine & Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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Paul E. Ronksley
Department of Medicine (Wick, Campbell, Manns, Tonelli), Cumming School of Medicine; Department of Community Health Sciences (Campbell, Manns, Tonelli, Beall, Stewart, Ronksley), Cumming School of Medicine; Division of General Internal Medicine, Department of Medicine (McAlister); Department of Medicine, Faculty of Medicine & Dentistry (Hemmelgarn), University of Alberta, Edmonton, Alta.
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  • Figure 1:
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    Figure 1:

    Identification of persistently high-cost individuals across at least 2 consecutive fiscal years. Persistently high-cost users were those in the top 1% of health care spending in at least 2 consecutive fiscal years. Episodic high-cost users were those who were in the top 1% of health care spending for 1 year only, or for nonconsecutive years.

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    Figure 2:

    Standardized difference of classifying characteristics for each group relative to the overall population. Note: CAD = coronary artery disease, CKD = chronic kidney disease, COPD = chronic obstructive pulmonary disease, ED = emergency department, PCP = primary care provider.

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    Figure 3:

    Breakdown of health care spending for each high-cost subgroup, by encounter type. Note: CKD = chronic kidney disease, comm. = community, COPD = chronic obstructive pulmonary disease, ED = emergency department.

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    Table 1:

    Characteristics of persistently high-cost subgroups

    CharacteristicSubgroup, %*
    Overall, n (%)
    n = 21 115
    CVD
    n = 4537
    Rehab. or care after surgery
    n = 3380
    Severe mental health conditions n = 3060Advanced CKD
    n = 2689
    Biologic therapies for autoimmune conditions
    n = 2538
    Dementia and awaiting comm. placement n = 2520COPD or other respiratory conditions n = 984Treatment for cancers n = 832Unstable housing or substance use
    n = 575
    Age, yr
     Mean ± SD60.2 ± 18.473.5 ± 11.656.5 ± 15.547.4 ± 15.759.0 ± 14.541.8 ± 13.481.1 ± 7.661.2 ± 9.759.1 ± 12.141.2 ± 11.5
     18–495810 (27.5)2.628.150.526.072.70.26.516.577.6
     50–646182 (29.3)20.539.437.138.222.11.163.251.121.2
     65–744008 (19.0)26.725.411.323.14.616.023.825.81.0
     75+5115 (24.2)50.27.21.112.80.582.76.56.60.2
    Male11 371 (53.9)58.462.153.861.747.334.659.543.452.3
    Urban residence18130 (86.2†)81.171.194.190.591.093.492.790.881.3
    History of homelessness486 (2.3)0.20.47.90.00.00.00.20.038.3
    Continuing care5957 (28.2)37.220.350.55.50.165.210.46.515.5
    ≥ 1 hospitalizations in the previous 12 mo7570 (35.9)57.86.844.226.621.729.684.34.085.7
    Emergency department visits in the previous 12 months
     08933 (42.3)21.969.631.851.750.646.214.276.70.0
     1–49122 (43.2)57.621.147.840.940.150.170.723.210.3
     5–152575 (12.2)18.57.816.66.88.03.414.80.060.5
     16+485 (2.3)2.01.63.80.51.30.30.20.129.2
    Primary care provider attachment in the previous 2 years
     < 50%14 037 (66.5)71.269.377.845.347.284.458.049.396.3
     50%–74.9%4908 (23.2)21.822.516.731.431.914.431.335.83.7
     > 75%2084 (9.9)6.77.85.422.519.31.110.714.90.0
     Few visits86 (0.4)0.30.40.1*0.81.50.00.00.00.0
    Number of specialist types visited at least twice in the previous year
     04089 (19.4)9.572.510.44.18.022.10.01.02.1
     14470 (21.2)13.919.624.020.236.220.60.049.88.2
     2–37673 (36.3)36.67.842.548.642.837.743.844.553.0
     4+4883 (23.1)40.10.023.127.113.019.656.24.836.7
    Underlying medical diagnoses
     Alcohol misuse3364 (15.9)10.313.846.77.03.21.720.71.382.1
     Depression5001 (23.7)16.96.270.410.018.516.320.914.168.9
     Schizophrenia1987 (9.4)1.40.855.10.71.21.51.80.017.9
     COPD6702 (31.7)59.323.332.218.711.628.841.113.733.9
     Dementia1510 (7.2)12.30.513.20.00.219.52.00.02.6
     Diabetes7439 (35.2)65.824.829.460.07.726.08.74.822.4
     CAD7289 (34.5)88.812.520.231.06.734.324.16.011.3
     Heart failure4398 (20.8)70.32.98.318.11.38.98.50.04.7
     Hypertension13 264 (62.8)99.345.543.895.816.485.243.619.028.0
     CKD6771 (32.1)64.78.818.970.912.314.417.09.124.3
     Autoimmune condition1552 (7.4)1.20.50.30.356.01.30.20.00.7
     Stroke4055 (19.2)41.28.514.213.14.628.715.73.415.7
     Cancer3318 (15.7)20.58.67.314.64.119.252.138.610.1
    Mean per person cost, $136 735121 454133 880178 946143 291112 200119 263150 302178 920119 407
     Outpatient13 54213 95314 02818 22714 149680811 90514 11911 93717 909
     Emergency department19 91227 58215 01812 44846 4238447929716 22514 04115 815
     Hospital64 07670 52077 35575 94849 15622 18181 43961 26954 77668 866
     Medication39 205939827 47972 32333 5637476516 62358 68998 16716 817
    Median per person cost, $76 91586 54483 92486 20782 09361 92788 99077 74568 94085 440
     Outpatient12 03312 55012 25516 08512 488305210 80312 41310 24516 320
     Emergency department741893867260605529 292339646888840672512 222
     Hospital52 59360 22961 29958 84634 643278970 64149 73842 35152 624
     Medication4871437931115221567052 6892858675496204274
    • Note: CKD = chronic kidney disease, comm. = community, COPD = chronic obstructive pulmonary disease, CVD = cardiovascular disease, ED = emergency department, rehab. = rehabilitation, SD = standard deviation.

    • Light grey shading indicates that the ratio of the characteristic relative to the overall persistent high-cost population was less than 0.5. Dark grey shading indicates that the ratio of the characteristic relative to the overall persistent high-cost population was 2.0 or greater, or had a prevalence of 90% or higher.

    • ↵* Except where indicated otherwise.

    • ↵† Data were available for n = 21 032 individuals.

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Identifying subgroups of adult high-cost health care users: a retrospective analysis
James Wick, David J.T. Campbell, Finlay A. McAlister, Braden J. Manns, Marcello Tonelli, Reed F. Beall, Brenda R. Hemmelgarn, Andrew Stewart, Paul E. Ronksley
Apr 2022, 10 (2) E390-E399; DOI: 10.9778/cmajo.20210265

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Identifying subgroups of adult high-cost health care users: a retrospective analysis
James Wick, David J.T. Campbell, Finlay A. McAlister, Braden J. Manns, Marcello Tonelli, Reed F. Beall, Brenda R. Hemmelgarn, Andrew Stewart, Paul E. Ronksley
Apr 2022, 10 (2) E390-E399; DOI: 10.9778/cmajo.20210265
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