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Research ArticleOriginal Research

Colorado Asthma Toolkit Implementation Improves Some Process Measures of Asthma Care

Kathryn L. Colborn, Laura Helmkamp, Bruce G. Bender, Bethany M. Kwan, Lisa M. Schilling and Marion R. Sills
The Journal of the American Board of Family Medicine January 2019, 32 (1) 37-49; DOI: https://doi.org/10.3122/jabfm.2019.01.180155
Kathryn L. Colborn
From the Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado (KLC); Adult & Child Consortium for Health Outcomes Research & Delivery Science, Aurora, CO (LH); Department of Pediatrics, National Jewish Health, Denver (BGB); Department of Medicine, University of Colorado School of Medicine, Aurora (BMK, LMS); Pediatrics, University of Colorado School of Medicine, Aurora (MRS).
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Laura Helmkamp
From the Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado (KLC); Adult & Child Consortium for Health Outcomes Research & Delivery Science, Aurora, CO (LH); Department of Pediatrics, National Jewish Health, Denver (BGB); Department of Medicine, University of Colorado School of Medicine, Aurora (BMK, LMS); Pediatrics, University of Colorado School of Medicine, Aurora (MRS).
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Bruce G. Bender
From the Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado (KLC); Adult & Child Consortium for Health Outcomes Research & Delivery Science, Aurora, CO (LH); Department of Pediatrics, National Jewish Health, Denver (BGB); Department of Medicine, University of Colorado School of Medicine, Aurora (BMK, LMS); Pediatrics, University of Colorado School of Medicine, Aurora (MRS).
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Bethany M. Kwan
From the Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado (KLC); Adult & Child Consortium for Health Outcomes Research & Delivery Science, Aurora, CO (LH); Department of Pediatrics, National Jewish Health, Denver (BGB); Department of Medicine, University of Colorado School of Medicine, Aurora (BMK, LMS); Pediatrics, University of Colorado School of Medicine, Aurora (MRS).
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Lisa M. Schilling
From the Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado (KLC); Adult & Child Consortium for Health Outcomes Research & Delivery Science, Aurora, CO (LH); Department of Pediatrics, National Jewish Health, Denver (BGB); Department of Medicine, University of Colorado School of Medicine, Aurora (BMK, LMS); Pediatrics, University of Colorado School of Medicine, Aurora (MRS).
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Marion R. Sills
From the Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado (KLC); Adult & Child Consortium for Health Outcomes Research & Delivery Science, Aurora, CO (LH); Department of Pediatrics, National Jewish Health, Denver (BGB); Department of Medicine, University of Colorado School of Medicine, Aurora (BMK, LMS); Pediatrics, University of Colorado School of Medicine, Aurora (MRS).
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Article Figures & Data

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  • Figure 1.
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    Figure 1.

    Colorado Asthma Toolkit Program (CATP) Conceptual Model. Key content areas were introduced in 3 education and feedback/audit sessions, which were then reinforced via 3 other approaches: 1) organizational change to optimize efficieny integrating CATP processes into practice workflow; 2) decision support tools for asthma management; and 3) online resources to help reinforce and sustain practice changes.

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    Figure 2.

    The study cohort flow diagram.

  • Figure 3.
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    Figure 3.

    Distribution of exacerbations by qualifying event. Type 1: single Emergency Department (ED) or inpatient (IP) visit with primary diagnosis of asthma. Type 2: cluster of 2 visits with asthma diagnosis <14 days apart. Type 3: ICD code or string indicating exacerbation. Type 4: systemic corticosteroid within 0 to 3 days after any type of asthma visit. Note: exacerbations occurring within 14 days of each other were grouped into a single exacerbation.

Tables

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    Table 1.

    Asthma Cohort Demographics

    VariableAsthma Cohort (n = 2678)
    Age group, n (%)
        5 to 11 years747 (27.8)
        12 to 17 years374 (13.9)
        18 to 64 years1566 (58.3)
    Sex
        Male899 (33.5)
        Female1788 (66.5)
    Race, n (%)
        White874 (32.5)
        Black/African American294 (10.9)
        Other128 (4.8)
        Unknown1391 (51.8)
    Ethnicity
        Hispanic/Latino854 (31.8)
        Not Hispanic/Latino1254 (46.7)
        Unknown579 (21.6)
    Comorbidity count, n (%)*
        0340 (12.7)
        1522 (19.4)
        2425 (15.8)
        >21400 (52.1)
    Medicaid eligibility [months of 33 study months], (median, IQR)33 (31 to 33)
    • ↵* Number of Healthcare Cost and Utilization Project (HCUP) Chronic Condition Indicator (CCI) “body systems” wherein the patient has one or more comorbidities, excluding respiratory.

    • IQR, interquartile range.

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    Table 2.

    Process Measures

    Pre-InterventionPost-InterventionP Value
    Asthma severity assessed
    Spirometry performed, N, (% of patients)32 (1.2%)272 (10.1%).0031,2
    ACT assessed, N, (% of patients)0 (0.0%)310 (11.5%)N/A
    HEDIS measures
        Patients meeting inclusion criteria for HEDIS definition of persistent asthma (% of study sample)129 (4.8%)228 (8.5%)<.00011
        Asthma medication ratio: percentage identified as having persistent asthma who had a ratio of controller medications to total asthma medications of 0.50 or greater52.3%58.5%.3
        Medication management for people with asthma: percentage identified as having persistent asthma who were dispensed an asthma controller medication that they remained on for at least:
            75% of their treatment period27.6%34.2%.2
            50% of their treatment period56.9%63.2%.3
    • All P values in this table obtained using generalized linear mixed models with random effects to control for variability between clinics. Random effects for subject were included when 1) applicable, and 2) random treatment effects by clinic were included when significant.

    • ACT, Asthma Control Test; HEDIS, Health care Effectiveness Data and Information Set.

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    Table 3.

    Outcome Measures

    Exacerbation EventsPre-Intervention PeriodPost-Intervention PeriodP Value
    Total exacerbations386414
    Patients with no exacerbations, N (%)2410 (89.7)2389 (88.9).3‡
    Exacerbations per person among those with 1 or more exacerbations, Median (IQR) (min, max)1 (1–1) (1,9)1 (1–1) (1,8)1.0‡
    Percent of exacerbations with a qualifying event of type:*
        Type 1: single ED or IP visit with primary diagnosis of asthma112/386 (29.0)109/414 (26.3).3‡
        Type 2: cluster of 2 visits with 1 to 14 days between, both with an asthma diagnosis85/386 (22.0)89/414 (21.5).5‡
        Type 3: ICD code (5th digit) or string indicating exacerbation220/386 (57.0)245/414 (59.2).3‡
        Type 4: systemic corticosteroid within 0 to 3 days after any type of visits for asthma265/386 (68.7)275/414 (66.4).4‡
    Healthcare utilization
        1. IP visits with primary asthma diagnosis (number of visits)51—
        2. ED visits with primary asthma diagnosis (number of visits)131121—
        3. Outpatient visits with an asthma diagnosis (number of visits)18881910—
        4. Asthma-specific medication use (n prescriptions)†5,2217,116—
            4a. Controller use2,2242,987
            4b. Reliever use2,9974,129
    Healthcare utilization—number of patients with at least 1 of the following:
        1. IP visit with primary asthma diagnosis5/2687 (0.2)1/2687 (0.0).1
        2. ED visit with primary asthma diagnosis83/2687 (3.1)92/2687 (3.4).4
        3. Outpatient visits with an asthma diagnosis609/2687 (22.7)649/2687 (24.2).1
        4. Asthma-specific medication use†1094/2687 (40.7)1334/2687 (49.6)<.0001
            4a. Controller use468/2687 (17.4)585/2687 (21.8)<.0001
            4b. Reliever use1005/2687 (37.4)1240/2687 (46.2)<.0001
    Composite scores: ACT
        Observations, N0543—
        ACT score = “in control,” n (% of all ACTs)n/a325 (60.2)—
        ACT score = “poorly controlled,” n (%)n/a132 (24.4)—
        ACT score = “very poorly controlled,” n (%)n/a83 (15.4)—
    Pulmonary physiology: FEV1/FVC percent predicted
        Observations, N13456—
        Mean value, % predicted, (standard deviation)82.5 (11.1)77.9 (13.1).1‡
    • ACT, asthma control test; ED, emergency department; IP, inpatient; OP, outpatient; IQR, interquartile range.

    • ↵* Percentages add up to greater than 100% as an exacerbation may have more than one qualifying event.

    • ↵† This includes controllers and relievers but not steroids.

    • ↵‡ Random effects for subject were included when applicable.

    • View popup
    Appendix Table 1.

    Number of Patients Defined as Having Persistent Asthma by Measurement Period

    Pre-Intervention Measurement PeriodPost-Intervention Measurement Period
    Before PrePreBefore PostPost
    (12 March 2009 to 11 March 2010)(12 March 2010 to 11 March 2011)(2 December 2010 to 1 December 2011)(2 December 2011 to 1 December 2012)
    ≥1 asthma ED visit64839092
    ≥1 asthma IP visit0531
    ≥4 asthma OP visits & ≥2 asthma medications39366146
    ≥4 asthma medications (not all leukotriene modifiers)186258319374
    ≥4 leukotriene dispensing events & ≥1 asthma diagnosis1002
    Any type(s)221313379438
    • ED, emergency department; IP, inpatient; OP, outpatient.

    • View popup
    Appendix Table 2.

    Exacerbation-Qualifying Events in This Patient Population

    N%
    Infectious and parasitic disease923.42
    Neoplasms672.49
    Endocrine, nutritional, and metabolic diseases and immunity disorders124646.37
    Diseases of blood and blood-forming organs2549.45
    Mental disorders155757.95
    Diseases of the nervous system and sense organs108440.34
    Diseases of the circulatory system78329.14
    Diseases of the respiratory system*198773.95
    Diseases of the digestive system71726.68
    Diseases of the genitourinary system67024.93
    Complications of pregnancy, childbirth, and the puerperium1696.29
    Diseases of the skin and subcutaneous tissue2137.93
    Diseases of the musculoskeletal system59222.03
    Congenital anomalies2439.04
    Certain conditions originating in the perinatal period10.04
    Symptoms, signs, and ill-defined conditions2499.27
    Injury and poisoning200.74
    Factors influencing health status and contact with health services38614.37
    • All records include only conditions marked as “chronic” in HCUP.

    • ↵* Respiratory conditions excluded from comorbidity count calculation.

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The Journal of the American Board of Family   Medicine: 32 (1)
The Journal of the American Board of Family Medicine
Vol. 32, Issue 1
January-February 2019
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Colorado Asthma Toolkit Implementation Improves Some Process Measures of Asthma Care
Kathryn L. Colborn, Laura Helmkamp, Bruce G. Bender, Bethany M. Kwan, Lisa M. Schilling, Marion R. Sills
The Journal of the American Board of Family Medicine Jan 2019, 32 (1) 37-49; DOI: 10.3122/jabfm.2019.01.180155

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Colorado Asthma Toolkit Implementation Improves Some Process Measures of Asthma Care
Kathryn L. Colborn, Laura Helmkamp, Bruce G. Bender, Bethany M. Kwan, Lisa M. Schilling, Marion R. Sills
The Journal of the American Board of Family Medicine Jan 2019, 32 (1) 37-49; DOI: 10.3122/jabfm.2019.01.180155
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