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Research ArticleOriginal Research

Learning from Primary Care Meaningful Use Exemplars

Steven M. Ornstein, Lynne S. Nemeth, Paul J. Nietert, Ruth G. Jenkins, Andrea M. Wessell and Cara B. Litvin
The Journal of the American Board of Family Medicine May 2015, 28 (3) 360-370; DOI: https://doi.org/10.3122/jabfm.2015.03.140219
Steven M. Ornstein
the College of Nursing (SMO, LSN); the Department of Public Health Sciences (PJN); the Department of Family Medicine (RGJ, AMW); and the Division of General Internal Medicine and Geriatrics, Department of Medicine (CBL), Medical University of South Carolina, Charleston.
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Lynne S. Nemeth
the College of Nursing (SMO, LSN); the Department of Public Health Sciences (PJN); the Department of Family Medicine (RGJ, AMW); and the Division of General Internal Medicine and Geriatrics, Department of Medicine (CBL), Medical University of South Carolina, Charleston.
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Paul J. Nietert
the College of Nursing (SMO, LSN); the Department of Public Health Sciences (PJN); the Department of Family Medicine (RGJ, AMW); and the Division of General Internal Medicine and Geriatrics, Department of Medicine (CBL), Medical University of South Carolina, Charleston.
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Ruth G. Jenkins
the College of Nursing (SMO, LSN); the Department of Public Health Sciences (PJN); the Department of Family Medicine (RGJ, AMW); and the Division of General Internal Medicine and Geriatrics, Department of Medicine (CBL), Medical University of South Carolina, Charleston.
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Andrea M. Wessell
the College of Nursing (SMO, LSN); the Department of Public Health Sciences (PJN); the Department of Family Medicine (RGJ, AMW); and the Division of General Internal Medicine and Geriatrics, Department of Medicine (CBL), Medical University of South Carolina, Charleston.
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Cara B. Litvin
the College of Nursing (SMO, LSN); the Department of Public Health Sciences (PJN); the Department of Family Medicine (RGJ, AMW); and the Division of General Internal Medicine and Geriatrics, Department of Medicine (CBL), Medical University of South Carolina, Charleston.
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Article Figures & Data

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    Table 1. 2014 Centers for Medicare and Medicaid Services Clinical Quality Measures Relevant to Primary Care and Included in Performance Assessment
    Measure TitleMeasure DescriptionUsed among Practices (Mean %)Standard Deviation
    Clinical process/effectiveness
        Antidepressant medication managementPercentage of patients ≥18 years old who were diagnosed with major depression and treated with antidepressant medication and who remained on antidepressant medication treatment59.98.7
        Asthma: use of appropriate medicationsPercentage of patients 5–64 years old who were identified as having persistent asthma and were appropriately prescribed controller medication48.09.8
        BP controlPercentage of patients 18–85 years old with a diagnosis of hypertension and whose BP was <140/90 mm Hg69.910.7
        Cancer screening
            BreastPercentage of women 50–75 years old who had a mammogram to screen for breast cancer60.215.6
            CervicalPercentage of women 21–64 years old who received one or more Papanicolaou tests to screen for cervical cancer48.516.3
            ColorectalPercentage of adults 50–75 years old who had appropriate screening for colorectal cancer54.216.7
        Diabetes
            Poor control of hemoglobin A1CPercentage of patients 18–75 years old with diabetes without a recent hemoglobin A1C or hemoglobin A1C >9.0%40.712.9
            LDL-C managementPercentage of patients 18–75 years old with diabetes whose LDL-C was <100 mg/dL62.110.2
            Urine protein screeningPercentage of patients 18–75 years old with diabetes who had a nephropathy screening test or evidence of nephropathy78.411.0
        Heart failure
            ACE inhibitor or ARB therapyPercentage of patients aged ≥18 years with a diagnosis of heart failure who were prescribed an ACE inhibitor or ARB therapy55.411.9
            β-Blocker therapyPercentage of patients aged ≥18 years with a diagnosis of heart failure who were prescribed β-blocker therapy57.914.0
        Ischemic vascular disease
            Use of aspirin or another antithromboticPercentage of patients 20–79 years old or older with a diagnosis of ischemic vascular disease who had documentation of use of aspirin or another antithrombotic50.119.5
            LDL controlPercentage of patients 20–79 years old or older with a diagnosis of ischemic vascular disease whose LDL-C was <100 mg/dL65.48.5
    Efficient use of health care resources
        Appropriate Treatment for Children with Upper Respiratory Infection (URI)Percentage of children 3 months to 18 years old who were diagnosed with upper respiratory infection and were not dispensed an antibiotic prescription on the day of or 3 days after the episode62.526.0
    Patient safety
        Use of high-risk medications in the elderlyPercentage of patients ≥66 years old who were not ordered high-risk medications80.16.6
        Warfarin time in therapeutic rangeAverage percentage of time in which patients aged ≥18 years with atrial fibrillation on warfarin therapy have an INR within the therapeutic range in the past 45 days38.817.7
    Population/public health
        Chlamydia screening for womenPercentage of women 16–24 years old who were identified as sexually active and who had at least one test for chlamydia12.915.0
        Depression screeningPercentage of patients aged ≥18 years who were screened for clinical depression36.327.1
        Influenza immunizationPercentage of patients aged ≥6 months seen for a visit in the past year who received an influenza immunization or who reported previous receipt of an influenza immunization29.512.3
        Pneumococcal immunization for older adultsPercentage of patients ≥65 years old who have ever received a pneumococcal vaccine63.020.9
        Tobacco use screening and cessation interventionPercentage of patients aged ≥18 years who were screened for tobacco use within 24 months and who received cessation counseling intervention if identified as a tobacco user89.88.7
    • ACE, angiotensin-converting enzyme; ARB, angiotensin receptor blocker; BP, blood pressure; LDL-C, low-density lipoprotein cholesterol.

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    Table 2. Mean Practice Clinician Survey Scores for General Questions and Associations with Summary Quality Index Clinical Quality Measure Performance
    Questionnaire ItemItem Score Across Practices, Mean (SD)Adjusted Correlation with SQUID-CQM*
    Use of EHR functionality
        EHR-based update form for patients to review their status on CQMs49.8 (28.2)0.20
        Registries for population management60.1 (24.6)0.32†
        Web portal for patients to reinforce their clinical quality goals44.8 (32.1)−0.11
        After-visit summary to educate patients about their progress on CQM goals69.4 (21.7)0.19
        Maintain up-to-date problem lists82.9 (13.6)0.14
    Clinical QI strategies
        Medication reconciliation at each patient visit88.3 (12.8)0.13
        Medication refill protocol77.6 (20.1)−0.04
        Point-of-care laboratory tests74.5 (20.7)−0.05
        Request patients have laboratory tests before visits66.6 (18.9)0.14
        Follow up with patients who do not complete recommended services64.9 (16.8)0.21
    Beliefs about EHR and QI activities
        EHR is helpful in achieving high-quality clinical care72.7 (14.1)0.29†
        EHR is customized in practice to facilitate high-quality clinical care71.4 (14.9)0.34†
        EHR is difficult for you to use to achieve high-quality clinical care58.6 (15.5)−0.25†
        Practice has financial burdens using EHR to achieve high-quality clinical care47.1 (18.2)0.07
        Participation in PPRNet motivating to achieve high-quality clinical care63.6 (22.1)0.26†
        Assistance from REC helpful to achieve high-quality clinical care36.5 (18.5)0.12
    Practice administrative QI strategies
        Members review CQM performance reports71.2 (19.2)0.17
        Members know the practice's improvement priorities74.7 (16.3)0.30†
        Members work consistently to achieve improvement77.3 (14.6)0.16
        Members evaluate progress together70.5 (17.7)0.28†
        Leaders seek team members' assistance and input regarding decisions63.5 (21.2)0.29†
        Staff incentivized toward higher performance52.4 (22.7)0.14
        Providers incentivized with rewards for achieving high performance39.0 (24.3)0.07
        Regular staff meetings with entire team to discuss rationale for decisions72.1 (21.1)0.34†
        Leadership shows commitment to improving meaningful use of EHR77.2 (18.4)0.33†
        Test a variety of approaches using EHR to achieve high-quality clinical care58.5 (16.0)0.07
    • ↵* The correlations presented are partial correlations between practices' mean survey item responses and their Summary Quality Index (SQUID) clinical quality measures (CQM) scores. The correlations are adjusted for the mean number of chronic conditions among the practices' patients.

    • ↵† P < .05.

    • EHR, electronic health record; PPRNet, Practice Partners Research Network; QI, quality improvement; REC, regional extension center; SD, standard deviation.

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    Table 3. Practice Clinician Survey Scores for Specific Questions and Associations with Clinical Quality Measure Performance
    MeasureAgreementStaff EducationEHR RemindersStanding OrdersEHR Patient Education
    Clinical process/effectiveness
        Antidepressant medication management90.9 (18.3)63.1 (23.8)50.8 (26.8)N/A46.1 (23.5)
        Asthma: use of appropriate medications97.0 (8.9)59.0 (22.6)53.1 (26.2)N/A50.0 (23.8)
        Blood pressure control96.5 (13.8)79.0 (20.3)74.6 (22.6)N/A59.5 (23.4)
        Cancer screening
            Breast97.2 (10.1)89.2*† (15.6)88.0*† (14.8)69.7* (36.9)61.0 (24.3)
            Cervical98.0 (7.8)83.4* (19.2)83.6*† (19.4)39.7* (38.6)56.4† (25.7)
            Colorectal99.8*† (1.1)85.9* (17.1)88.2*† (14.5)51.0* (40.6)60.2 (24.5)
        Diabetes
            Poor control of hemoglobin A1C90.4 (16.2)78.2 (22.8)74.2 (25.9)63.7 (40.5)64.2*† (22.3)
            LDL-C management91.6 (16.6)63.4 (24.2)68.0 (23.6)55.5 (41.1)64.2 (22.3)
            Urine protein screening92.8 (20.2)74.9*† (22.0)80.2*† (23.2)64.6* (39.8)64.2* (22.3)
        Heart failure
            ACE inhibitor or ARB therapy96.0 (14.5)54.7 (22.1)59.0*† (27.0)N/A48.0 (24.8)
            β-Blocker therapy96.5 (13.9)54.7 (22.1)56.2*† (27.2)N/A48.0† (24.8)
        Ischemic vascular disease
            Use of aspirin or another antithrombotic98.2 (7.5)64.4*† (23.9)75.8*† (23.8)N/A54.4 (23.3)
            LDL control94.0 (11.7)62.4 (24.6)64.0 (23.2)48.3 (41.2)54.5 (23.3)
    Efficient resource use
        Appropriate treatment for children with upper respiratory infection89.8 (21.6)63.2* (27.1)36.5* (27.9)N/A38.6* (26.5)
    Patient safety
        Use of high-risk medications in the elderly91.7*† (18.9)56.8 (22.0)69.2 (20.8)N/A43.5 (24.9)
        Warfarin time in therapeutic range97.3 (13.7)76.8* (23.0)43.2 (29.2)N/A49.3 (27.5)
    Population/public health
        Chlamydia screening for women89.3* (25.1)65.7* (24.6)64.0*† (29.8)30.7* (35.7)45.4 (26.8)
        Depression screening88.5 (23.2)69.1*† (26.6)67.7*† (29.5)41.2* (42.2)50.2* (29.7)
        Influenza immunization97.9 (7.1)90.6* (14.5)88.2*† (14.7)82.0 (29.2)62.7 (25.1)
        Pneumococcal immunization for older adults100.0 (0.0)88.0* (17.2)87.0*† (16.0)72.0* (35.0)62.3 (24.5)
        Tobacco use screening and cessation intervention98.3 (8.5)86.2 (16.7)83.5 (17.7)N/A62.6 (25.4)
    • ↵* Significantly (P < .05) correlated with corresponding quality measure in bivariate (unadjusted) analysis.

    • ↵† Significantly (P < .05) correlated with corresponding quality measure in multivariate (adjusted) analysis.

    • ACE, angiotensin-converting enzyme; ARB, angiotensin receptor blocker; EHR, electronic health record; LDL-C, low-density lipoprotein cholesterol; N/A, not applicable; SD, standard deviation.

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The Journal of the American Board of Family     Medicine: 28 (3)
The Journal of the American Board of Family Medicine
Vol. 28, Issue 3
May-June 2015
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Learning from Primary Care Meaningful Use Exemplars
Steven M. Ornstein, Lynne S. Nemeth, Paul J. Nietert, Ruth G. Jenkins, Andrea M. Wessell, Cara B. Litvin
The Journal of the American Board of Family Medicine May 2015, 28 (3) 360-370; DOI: 10.3122/jabfm.2015.03.140219

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Learning from Primary Care Meaningful Use Exemplars
Steven M. Ornstein, Lynne S. Nemeth, Paul J. Nietert, Ruth G. Jenkins, Andrea M. Wessell, Cara B. Litvin
The Journal of the American Board of Family Medicine May 2015, 28 (3) 360-370; DOI: 10.3122/jabfm.2015.03.140219
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