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Research ArticleOriginal Research

Management of Type 2 Diabetes in the Primary Care Setting: A Practice-Based Research Network Study

Stephen J. Spann, Paul A. Nutting, James M. Galliher, Kevin A. Peterson, Valory N. Pavlik, L. Miriam Dickinson and Robert J. Volk
The Annals of Family Medicine January 2006, 4 (1) 23-31; DOI: https://doi.org/10.1370/afm.420
Stephen J. Spann
MD, MBA
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Paul A. Nutting
MD, MSPH
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James M. Galliher
PhD
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Kevin A. Peterson
MD, MPH
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Valory N. Pavlik
PhD
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L. Miriam Dickinson
PhD
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Robert J. Volk
PhD
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    Table 1.

    Characteristics of Study Patients (N = 822)

    Patient Sociodemographics Characteristics*No. (%)
    Note: Frequencies may be less than the total sample size because of missing data. Percentages are based on valid observations.
    * Data from patient survey.
    † Data from visit monitoring form.
    ‡ More than 1 reason could have been listed.
    Age, y
        Mean59.5
        Standard deviation13.1
    Ethnicity
        Non-Hispanic white575 (71.4)
        African American121 (15.0)
        Hispanic63 (7.8)
        Other and mixed46 (5.7)
    Sex, male358 (44.5)
    Highest level of education
        Did not graduate high school201 (25.4)
        High school graduate or general equivalency diploma343 (43.3)
        College or postgraduate training248 (31.3)
    Duration of diabetes, y
        Mean9.1
        Standard deviation8.7
            <5 y302 (39.9)
            5–10 y195 (25.8)
            11–20 y157 (20.7)
            >20 y103 (13.6)
    Body mass index†
        <18.5, underweight8 (1.1)
        18.5–24.9, normal81 (11.2)
        25.0–29.9, overweight194 (26.9)
        30.0–34.9, obese class I204 (28.3)
        35.0–39.9, obese class II117 (16.2)
        ≥ 40, obese class III118 (16.3)
    Reason for study office visit†‡
        Routine diabetes follow-up575 (70.8)
        Acute problem174 (21.4)
        Chronic problem, routine165 (20.3)
        Chronic problem, flare-up43 (5.3)
        Pre- or postsurgery follow-up23 (2.8)
        Nonillness care59 (7.3)
    • View popup
    Table 2.

    Diabetes-Related Complications and Other Comorbid Health Problems Experienced by Patients with Type 2 Diabetes (N = 822)

    Complications and Comorbidities*No. (%)
    * Percentages are based on patients with complete complications data; 33 patients had missing data on complications.
    † Complications are from visit monitoring form; comorbidities are from patient survey.
    Complications related to diabetes†
    Coronary artery disease147 (18.6)
    Neuropathy146 (18.5)
    Nephropathy125 (15.8)
    Retinopathy78 (9.9)
    Peripheral vascular disease78 (9.9)
    Foot ulcer/infection40 (5.1)
    Other infection33 (4.2)
    Gastroparesis29 (3.7)
    Other comorbid health problems†
    Hypertension457 (56.7)
    Osteoarthritis221 (27.6)
    Chronic low back pain188 (23.4)
    Asthma83 (10.3)
    Thyroid problems82 (10.2)
    Congestive heart failure52 (6.5)
    Chronic obstructive lung disease51 (6.4)
    • View popup
    Table 3.

    Patients Meeting Control Targets for Glycosylated Hemoglobin and Cardiovascular Risk Factors

    Control Target*FrequencyPercent of Total
    HbA1c = glycosylated hemoglobin; ADA = American Diabetes Association; JNC 7 = The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure; LDL-C = low-density lipoprotein cholesterol.
    Note: Percentage is based on cases where data were available and provided. Missing data rates are 6.1% for HbA1c, 1.7% for blood pressure, and 18.4% for LDL-C. Data are from visit monitoring forms.
    * Based on American Diabetes Association target for adults with type-2 diabetes.14
    † Based on the JNC 7 for blood pressure.16
    HbA1c
        <7.0%31340.5
        7.0% to 7.9%21728.1
        8.0% to 8.9%10914.1
        9.0% to 9.9%617.9
        ≥ 10.0%729.3
    Blood pressure: ADA target
        Systolic <130 mm Hg and diastolic <85 mm Hg28535.3
    Blood pressure: JNC 7 categories†
        Normal (systolic <120 mm Hg and diastolic <80 mm Hg)14618.1
        Prehypertension (systolic 120–139 mm Hg or diastolic 80–90 mm Hg)45255.9
        Stage 1 hypertension (systolic 140–159 mm Hg or diastolic 90–99 mm Hg)17621.8
        Stage 2 hypertension (systolic ≥ 160 mm Hg or diastolic ≥ 100 mm Hg)344.2
    LDL-C
        <100 mg/dL29443.8
        100–129 mg/dL19829.5
        130–159 mg/dL10515.7
        160–189 mg/dL527.8
        ≥ 190 mg/dL223.3
    Combined targets
        HbA1c (<7%) and LDL-C (<100 mg/dL)11116.7
        HbA1c (<7%) and blood pressure (<130/85 mm Hg)10413.7
        HbA1c (<7%) and blood pressure (<130/85 mm Hg) and LDL-C (<100 mg/dL)457.0
    • View popup
    Table 4.

    Diabetes and Cardiovascular Medications Used by Patients With Type 2 Diabetes (N = 822)

    Drug Class or DescriptionNo. (%)
    ACE = angiotensin-converting enzyme inhibitor; ARB = angiotensin receptor blocker.
    Note: Data are from visit monitoring form.
    Insulin187 (22.7)
    Oral diabetes medications
        Biguanide439 (54.1)
        Sulfonylurea440 (53.3)
        Alpha-glucosidase inhibitor14 (1.7)
        Thiazolidinedione225 (27.4)
    Antihypertensives613 (74.6)
    Aspirin289 (35.7)
    Any lipid-lowering drug481 (58.5)
    ACE Inhibitor or ARB469 (57.1)
    • View popup
    Table 5.

    Relation Between Treatment Modality and Control for Adult Primary Care Patients with Type 2 Diabetes as Measured by HbA1c Level

    Glycosylated Hemoblobin LevelDiet Only n (%)1 Oral Medication n (%)2 Oral Medications n (%)1 Oral Medication and Insulin n (%)Insulin n (%)Row Totals n (%)
    HbA1c = glycosylated hemoglobin.
    Note: The data are expressed as frequencies and percentages (in parentheses); percentages in “Row Totals” are row percentages and in “Column totals” are column percent-ages. Sample size is 772 and excludes 50 cases with missing HbA1c values. Data are from visit monitoring form.
    HbA1c <7%55 (17.6)118 (37.7)100 (31.9)26 (8.3)14 (4.5)313 (40.5)
    HbA1c 7%–8%26 (11.3)72 (31.2)78 (33.8)36 (15.6)19 (8.2)231 (29.9)
    HbA1c >8%6 (2.6)35 (15.4)109 (47.8)52 (22.8)26 (11.4)228 (29.5)
    Column totals87 (11.3)225 (29.1)287 (37.2)114 (14.8)59 (7.6)772
    • View popup
    Table 6.

    Relation Between Treatment and Control of Diabetes Cardiovascular Risk Factors for Adult Primary Care Patients With Type 2 Diabetes

    Cardiovascular Risk FactorsTaking Medication* n (%)Lifestyle Change or Not Treated n (%)Row Totals†n (%)
    LDL-C = low-density lipoprotein cholesterol
    Note: Data are expressed as frequencies and percentages (in parentheses); the percentages in the “Row Totals” are row percentages and those in the “Column totals” are column percentages. Data from visit monitoring form.
    * Antihypertensive medications for blood pressure control, and lipid-lowering medications for low-density lipoprotein cholesterol control.
    † Totals vary because of missing data.
    Blood pressure
    <130/85 mm Hg197 (69.1)88 (30.9)285 (35.3)
    ≥ 130/85 mm Hg406 (77.6)117 (22.4)523 (64.7)
    Column totals603 (74.6)205 (25.4)808
    LDL-C
    <100 mg/dL200 (68.3)93 (31.7)293 (43.7)
    ≥ 100 mg/dL212 (56.1)166 (43.9)378 (56.3)
    Column totals412 (61.4)259 (38.6)671
    • View popup
    Table 7.

    Patient, Clinician, Practice Design, and Treatment Predictors of HbA1cFrom Multilevel Regression Analyses

    Domain/VariableModel Predicting HbA1c as Continuous Variable (n = 666) β (95% CI)Model Predicting HbA1c >7% (Poor Control) (n = 666) OR (95% CI)
    HbA1c = glycosylated hemoglobin; OR = odds ratio; CI = confidence interval; GED = general equivalency diploma.
    Note. Results from 2 models presented. For the model predicting values of HbA1c as a continuous variable to regression coefficients represent either (1) the change in HbA1c associated with 1 unit change in the predictor variable (for continuous predictors) to or (2) the difference in HbA1c for the predictor variable compared with the reference group (for categorical predictors). In the continuous HbA1c model, if a CI that does not include 0, the regression coefficient is significant at P <.05. In the model predicting poor control; a OR that does not include 1.0 is significant at P <.05.
    * Estimate significant at P <.05.
    † Clinician characteristics and practice design features were entered one at a time after all patient characteristics and treatment are in the model.
    Patient Characteristics
    Age−0.01 (−0.02 to 0.00)0.99 (0.98 to 1.00)
    Ethnicity (white is reference group)
        African American0.47 (0.12 to 0.82)*1.31 (0.77 to 2.23)
        Hispanic0.55 (0.10 to 0.99)*1.25 (0.66 to 2.40)
        Other0.74 (0.18 to 1.30)*4.33 (1.63 to 11.47)*
    Sex, male0.18 (−0.06 to 0.42)1.26 (0.89 to 1.78)
    Education (college graduate is reference group)
        Not a high school graduate−0.02 (−0.36 to 0.32)0.87 (0.53 to 1.41)
        High school graduate or GED−0.15 (−0.43 to 0.13)0.89 (0.60 to 1.32)
    Duration of diabetes−0.00 (−0.02 to 0.02)1.01 (0.99 to 1.03)
    Provider characteristics†
    Years in practice−0.01 (−0.02 to 0.01)0.99 (0.98 to 1.01)
    Sex, male−0.15 (−0.43 to 0.13)0.71 (0.44 to 1.37)
    No. of patients with diabetes seen in typical month−0.00 (−0.00 to 0.00)1.00 (0.99 to 1.01)
    Practice type (single specialty is reference group)
        Academic setting0.61 (0.25 to 0.97)*2.90 (1.56 to 5.38)*
        Solo practice0.40 (0.03 to 0.77)*1.88 (1.01 to 3.50)*
        Multispecialty group0.39 (0.03 to 0.75)*1.59 (0.88 to 2.88)
        Combination of settings0.21 (−0.16 to 0.58)1.27 (0.69 to 2.36)
    Practice design features†
    Flow sheets−0.09 (−0.37 to 0.19)0.81 (0.50 to 1.30)
    Electronic medical record−0.22 (−0.49 to 0.05)0.75 (0.47 to 1.19)
    Involvement of nurse-practitioners or physician’s assistants−0.37 (−0.67 to −0.08)*0.67 (0.41 to 1.11)
    Patient registries0.06 (−0.38 to 0.49)1.24 (0.57 to 2.70)
    Dietician0.28 (−0.09 to 0.64)1.45 (0.77 to 2.70)
    Diabetes educators0.05 (−0.29 to 039)0.88 (0.49 to 1.56)
    Endocrinologists−0.03 (−0.28 to 0.21)1.09 (0.71 to 1.67)
    Treatment (diet only is reference group)
    1 oral medication0.48 (0.06 to 0.90)*1.48 (0.84 to 2.62)
    ≥ 2 oral medications1.10 (0.68 to 1.51)*2.97 (1.68 to 5.24)*
    ≥ 1 oral medication and insulin1.54 (1.03 to 2.04)*5.72 (2.74 to 11.93)*
    Insulin1.62 (1.00 to 2.23)*5.06 (2.06 to 12.43)*
    • View popup
    Table 8.

    Patient, Clinician, Practice Design, and Treatment Predictors of Cardiovascular Risk Factor Control from Multilevel Regression Analyses

    Domain/VariableModel Predicting Blood Pressure >130/85 mm Hg (n = 699) OR (95% CI)Model Predicting LDL-C >100 mg/dL (n = 582) OR (95% CI)
    CI = confidence interval; LDL-C = low-density lipoprotein cholesterol; GED = general equivalency diploma.
    Note: In models predicting poor control, an odds ratio that does not include 1.0 is significant at P <.05.
    * Estimate significant at P <.05.
    † Clinician characteristics and practice design features were entered one at a time after all patient characteristics and treatment are in the model.
    Patient characteristics
    Age1.03 (1.02–1.05)*0.99 (0.98–1.01)
    Ethnicity (white is reference group)
        African American1.62 (0.96–2.76)1.86 (1.08–3.20)*
        Hispanic0.72 (0.39–1.32)1.31 (0.69–2.49)
        Other0.57 (0.27–1.20)1.16 (0.50–2.69)
    Sex, male0.79 (0.57–1.12)0.81 (0.57–1.16)
    Education (college graduate is reference group)
        Not a high school graduate1.63 (1.02–2.63)*0.83 (0.51–1.36)
        High school graduate or GED1.44 (0.98–2.10)0.90 (0.60–1.36)
    Duration of diabetes0.99 (0.97–1.01)0.99 (0.97–1.01)
    Provider characteristics†
    Years in practice1.02 (1.00–1.05)0.99 (0.96–1.01)
    Sex, male1.55 (1.00–2.40)0.86 (0.53–1.39)
    No.of patients with diabetes seen in typical month1.01 (1.00–1.01)1.00 (0.99–1.01)
    Practice type (single specialty is reference group)
        Academic setting0.90 (0.51–1.59)0.75 (0.41–1.36)
        Solo practice2.12 (1.14–3.94)*0.57 (0.30–1.06)
        Multispecialty group1.13 (0.63–2.00)1.33 (0.71–2.49)
        Combination of settings0.81 (0.45–1.46)1.12 (0.58–2.16)
    Practice design features†
    Flow sheets0.70 (0.44–1.12)1.45 (0.91–2.33)
    Electronic medical record0.91 (0.59–1.39)1.09 (0.68–1.72)
    Involvement of nurse-practitioners or physician’s assistants1.35 (0.83–2.22)1.15 (0.69–1.92)
    Patient registries0.94 (0.47–1.89)1.37 (0.62–3.03)
    Dietician0.85 (0.46–1.56)0.61 (0.32–1.19)
    Diabetes educators0.93 (0.53–1.61)1.18 (0.66–2.08)
    Endocrinologists1.16 (0.78–1.72)1.00 (0.66–1.52)
    Treatment
    Any antihypertensive or lipid-lowering medication1.37 (0.93–2.00)0.71 (0.49–1.03)

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  • The Article in Brief

    Management of Type 2 Diabetes in the Primary Care Setting: A Practice-Based Research Network Study

    Stephen J. Spann, MD, MBA , and colleagues

    Background Primary care clinicians treat many patients with diabetes. This study describes the care provided by primary care clinicians to their patients with type 2 diabetes.

    What This Study Found Primary care clinicians provide intense diabetes care, including use of medications to lower glucose and cholesterol levels, and control blood pressure. Only a modest number of the 822 patients in this study (40.5%), however, actually achieved the established targets for diabetes control. More than one third were at or below the target blood pressure recommended by the American Diabetes Association.

    Implications

    • Patients with type 2 diabetes are commonly treated in primary care settings and have other conditions related to diabetes.
    • Although treatment of hyperglycemia (high blood glucose levels) is somewhat successful, control of cardiovascular risk factors is poor and remains a serious challenge.
    • These challenges reinforce the need to reorganize primary care practices and improve the systems that support the care of patients with chronic diseases, including diabetes.
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The Annals of Family Medicine: 4 (1)
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Management of Type 2 Diabetes in the Primary Care Setting: A Practice-Based Research Network Study
Stephen J. Spann, Paul A. Nutting, James M. Galliher, Kevin A. Peterson, Valory N. Pavlik, L. Miriam Dickinson, Robert J. Volk
The Annals of Family Medicine Jan 2006, 4 (1) 23-31; DOI: 10.1370/afm.420

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Management of Type 2 Diabetes in the Primary Care Setting: A Practice-Based Research Network Study
Stephen J. Spann, Paul A. Nutting, James M. Galliher, Kevin A. Peterson, Valory N. Pavlik, L. Miriam Dickinson, Robert J. Volk
The Annals of Family Medicine Jan 2006, 4 (1) 23-31; DOI: 10.1370/afm.420
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