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Research ArticleOriginal Research

Quality of Preventive Care for Diabetes: Effects of Visit Frequency and Competing Demands

Joshua J. Fenton, Michael Von Korff, Elizabeth H.B. Lin, Paul Ciechanowski and Bessie A. Young
The Annals of Family Medicine January 2006, 4 (1) 32-39; DOI: https://doi.org/10.1370/afm.421
Joshua J. Fenton
MD, MPH
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Michael Von Korff
ScD
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Elizabeth H.B. Lin
MD, MPH
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Paul Ciechanowski
MD, MPH
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Bessie A. Young
MD, MPH
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    Figure 1.

    Receipt of diabetes preventive services by patterns of use.

    HbA1C = hemoblogin A1C.

    Note: Values are rates of receipt of services over a 2-year period. Microalbuminuria screening was assessed only in patients who did not have a prescription for an angiotension-converting enzyme inhibitor at baseline. Comparison of outcomes across use patterns are statistically significant (P <.001), except for the comparison of microalbuminuria screening (P = .05).

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    Table 1.

    Social, Demographic, and Clinical Characteristics of Patients by Pattern of Use of Outpatient Services

    Pattern of Use*
    Characteristic†Total Sample (N = 4,463)Infrequent (n = 1,576)Lower-Priority (n = 542)Higher-Priority (n = 2,345)
    HbA1c = hemoglobin A1c; BMI = body mass index.
    * Infrequent users were 35.3% of the total sample; lower-priority users, 12.1%; and higher-priority users, 52.5%.
    † Sample size may vary because of missing data. All comparisons across use patterns are statistically significant (P <.001), except for the comparison for race (P = .28).
    Women, No. (%)2,175 (48.7)663 (42.1)321 (59.2)1,191 (50.1)
    High school education or less, No. (%)1,088 (24.7)345 (22.1)115 (21.4)628 (27.1)
    Marital status, No. (%)
        Single431 (10.0)177 (11.3)48 (8.9)206 (8.9)
        Married/living as2,925 (66.0)1,077 (68.8)348 (64.6)1,500 (64.5)
        Widowed547 (12.4)132 (8.4)72 (13.4)343 (14.8)
        Divorced or separated526 (11.8)179 (11.4)71 (13.2)276 (11.9)
    Nonwhite race, No. (%)892 (20.4)334 (37.4)111 (12.4)447 (50.1)
    Age, y, mean (SD)64.9 (12.6)60.1 (12.7)61.5 (13.7)65.8 (13.2)
    RxRisk comorbidity score, No. (%)
        <1,300915 (20.5)527 (33.4)118 (21.8)270 (11.5)
        1,300–2,5991,147 (25.7)506 (32.1)145 (26.8)496 (21.2)
        2,600–4,3991,178 (26.4)387 (24.6)157 (29.0)634 (27.0)
        ≥ 4,4001,223 (27.4)156 (9.9)122 (22.5)945 (40.3)
    Diabetes complications, No. (%)
        01,404 (31.4)774 (49.1)183 (33.8)447 (19.1)
        11,405 (31.5)549 (34.8)199 (36.7)657 (28.0)
        2853 (19.1)187 (11.9)112 (20.7)554 (23.6)
        ≥ 3801 (17.9)66 (4.2)48 (8.9)687 (29.3)
    HbA1C ≥ 8.0%, No. (%)1,982 (46.3)682 (46.5)197 (38.0)1,103 (48.2)
    Treatment intensity, No. (%)
        None or diet1,134 (25.4)462 (29.3)188 (34.7)484 (20.6)
        Oral hypoglycemic agent1,986 (44.5)790 (50.1)252 (46.5)944 (40.3)
        Insulin ± oral hypoglycemic1,343 (30.1)324 (20.6)102 (18.8)917 (39.1)
    BMI ≥ 30 kg/m2, No. (%)2,147 (48.8)727 (46.8)308 (58.0)1,112 (48.2)
    Smoking currently, No. (%)381 (8.6)184 (11.8)44 (8.3)153 (6.7)
    Depression status, No. (%)
        Not depressed3,552 (79.5)1,344 (85.3)410 (75.7)1,798 (76.7)
        Minor depression375 (8.4)108 (6.9)47 (8.7)220 (9.4)
        Major depression536 (12.0)124 (7.9)85 (15.7)327 (13.9)
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    Table 2.

    Outpatient Visits During the 2-Year Study Period by Pattern of Use

    Pattern of Use
    Type of Visit*Total Sample (N = 4,463)Infrequent (n = 1,576)Lower-Priority (n = 542)Higher-Priority (n = 2,345)
    * Values are mean (SD) numbers of visits. Excludes visits for dermatologic diagnoses, vision and hearing, mental health illness, and preventive and pregnancy-related services. All comparisons across use patterns are statistically significant (P <.001).
    Acute disease—higher priority1.9 (2.7)0.5 (0.8)1.9 (1.9)2.8 (3.2)
    Acute disease—lower priority1.3 (1.8)0.5 (0.8)3.2 (2.7)1.4 (1.6)
    Chronic disease—higher priority7.5 (7.4)3.0 (1.6)4.8 (3.1)11.2 (8.4)
    Chronic disease—lower priority1.3 (1.9)0.3 (0.6)3.1 (2.8)1.5 (1.9)
    Symptoms and ill-defined conditions1.6 (2.4)0.4 (0.7)4.2 (4.2)1.8 (2.0)
    Total13.6 (11.2)4.8 (2.0)17.3 (9.4)18.7 (11.5)
    • View popup
    Table 3.

    Adjusted Odds of Timely Receipt of Diabetes-Related Preventive Services by Pattern of Use

    Pattern of Use*
    Diabetes-Related Preventive ServiceInfrequent OR (95% CI)†Lower-Priority OR (95% CI)†Higher-Priority OR (95% CI)†
    OR = odds ratio; CI = confidence interval; HbA1C = hemoglobin A1C; ref = reference group.
    * Includes fewer patients than bivariate analyses because of missing data.
    † Odds ratios adjusted for age, sex, marital status, ethnicity, education, comorbidity (RxRisk score), number of diabetes complications, treatment intensity, depression status, and clinic site.
    ‡ Among patients not prescribed an angiotensin-converting enzyme inhibitor.
    ≥ 1 HbA1C test in previous year (n = 4,347)0.35 (0.24–0.51)0.59 (0.35–1.01)ref
    ≥ 3 HbA1C tests in previous year if HbA1C ≥ 8% (n = 1,837)0.44 (0.35–0.56)0.80 (0.57–1.12)ref
    ≥ 1 retinal examinations in previous year (n = 4,347)0.74 (0.63–0.86)0.68 (0.56–0.84)ref
    ≥ 2 retinal examinations in 2 previous years if known retinopathy (n = 1,179)0.57 (0.40–0.81)0.55 (0.34–0.89)ref
    ≥ 1 microalbuminuria screenings in previous year (n = 1,831)‡0.75 (0.58–0.96)0.79 (0.57–1.09)ref

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  • The Article in Brief

    Quality of preventive care for diabetes: effects of visit frequency and competing demands

    Joshua J. Fenton, MD, MPH , and colleagues

    Background Regular medical care can prevent many common diabetes complications. Despite the effectiveness of preventive care for diabetes, however, many patients do not receive recommended diabetes services. This study examined how often a group of diabetes patients visited the doctor, and for what reasons, in order to shed light on why some patients do not receive sufficient diabetes care.

    What This Study Found Diabetes patients who do not visit the doctor often are less likely to receive timely diabetes-related preventive care. Patients who make frequent doctor visits but for lower-priority health conditions are more likely to have a delay in their diabetes-related preventive services.

    Implications

    • Office systems and other innovations may help primary care offices increase the delivery of diabetes services to patients who don�t visit the doctor often, and to those who visit for conditions that a
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The Annals of Family Medicine: 4 (1)
The Annals of Family Medicine: 4 (1)
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Quality of Preventive Care for Diabetes: Effects of Visit Frequency and Competing Demands
Joshua J. Fenton, Michael Von Korff, Elizabeth H.B. Lin, Paul Ciechanowski, Bessie A. Young
The Annals of Family Medicine Jan 2006, 4 (1) 32-39; DOI: 10.1370/afm.421

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Quality of Preventive Care for Diabetes: Effects of Visit Frequency and Competing Demands
Joshua J. Fenton, Michael Von Korff, Elizabeth H.B. Lin, Paul Ciechanowski, Bessie A. Young
The Annals of Family Medicine Jan 2006, 4 (1) 32-39; DOI: 10.1370/afm.421
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