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Research ArticleOriginal Research

Characteristics of Frequent Attenders At a Community Health Center

Judith A. Savageau, Martha McLoughlin, Alina Ursan, Yan Bai, Matthew Collins and Suzanne B. Cashman
The Journal of the American Board of Family Medicine May 2006, 19 (3) 265-275; DOI: https://doi.org/10.3122/jabfm.19.3.265
Judith A. Savageau
MPH
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Martha McLoughlin
MD
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Alina Ursan
MS
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Yan Bai
MS
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Matthew Collins
MD
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Suzanne B. Cashman
ScD
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  • Article
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Article Figures & Data

Tables

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    Table 1.

    Frequency and Percentage of Distributions of Study Sample, Study Pool, and Health Center Population Overall

    Study Pool (N = 465)* n (%)Study Sample (N = 382)† n (%)CHC Patient Population Overall (Data Obtained from UDS Reports)‡ %
    Gender
        Male136 (29.5)108 (28.3)42
        Female329 (70.5)273 (71.7)58
    Insurance
        Medicaid258 (56.1)217 (57.4)47
        Medicare68 (14.8)62 (16.4)9
        Private43 (9.3)34 (9.0)10
        None/self-pay91 (19.8)65 (17.2)31
    Race§
        American Indian4 (0.9)3 (0.8)0
        Asian28 (6.0)27 (7.1)7
        Black45 (9.7)37 (9.7)12
        White159 (34.2)136 (35.6)33
    Ethnicity‖
        Hispanic188 (40.4)151 (39.5)43
    • * Includes those patients for whom chart abstractions were completed during the 30-month study period (variable levels may not total 465 because of sporadic missing data).

    • † Excludes those patients for whom there was only one visit that represented the patient’s first visit to the health center (variable levels may not total 382 because of sporadic missing data).

    • ‡ Federal Government Uniform Data System Report for the reporting period January 1998 to December 1998; reflects the population at the time the study commenced.

    • § Data on race were missing from a significant number of the medical records abstracted (49.2% of the data on race were missing from the medical records of the study pool and from 46.9% of the study sample’s charts). Data in the table represent percentages from those charts where race was abstracted.

    • ‖ Data on ethnicity was missing from a significant number of the medical records abstracted (40.2% of the data on ethnicity was missing from the medical records of the sample pool and from 40.3% of the study sample’s charts).

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    Table 2.

    Frequency and Percentage of Distributions of Demographic, Health Status, and Utilization Characteristics Comparing Frequent and Non-frequent Attenders (N = 381)*

    Frequent Attenders (N = 79)Non-frequent Attenders (N = 302)Statistic†P Value
    Sociodemographic factors
        Age group
            18 to 44 years30 (37.9%)195 (64.6%)χ2 = 18.521<.001
            45 to 64 years39 (49.4%)88 (29.1%)
            65+ years10 (12.7%)19 (6.3%)
            Mean age (SD)48.65 (14.15)40.46 (14.89)t test = 4.395<.001
        Gender
            Male18 (22.8%)90 (29.8%)χ2 = 1.518NS
            Female61 (77.2%)212 (70.2%)
        ZIP code of residence
            Within the CHC catchment area20 (25.6%)85 (28.2%)χ2 = 4.823.090
            Within the city, but outside the catchment area48 (61.5%)199 (66.1%)
            Outside of the city limits10 (12.8%)17 (5.6%)
        Marital Status
            Not currently married45 (73.8%)182 (69.7%)χ2 = 0.388NS
            Married16 (26.2%)79 (30.3%)
        Insurance Status
            Medicaid53 (67.1%)163 (54.7%)χ2 = 16.754.001
            Medicare19 (24.1%)43 (14.4%)
            Private2 (2.5%)32 (10.7%)
            None/self-pay/Free Care5 (6.3%)60 (20.1%)
        Provider type
            MD/attending39 (49.4%)143 (47.4%)χ2 = 0.165NS
            NP or PA22 (27.8%)91 (30.1%)
            Resident18 (22.8%)68 (22.5%)
    Health indicators
        Smoking status
            Not currently smoking45 (60.0%)167 (60.3%)χ2 = 0.002NS
            Currently smoking30 (40.0%)110 (39.7%)
        Hypertension
            No53 (67.1%)232 (76.8%)χ2 = 3.147.076
            Yes26 (32.9%)70 (23.2%)
        Diabetes
            No55 (69.6%)274 (90.7%)χ2 = 23.674<.001
            Yes24 (30.4%)28 (9.3%)
        Obesity‡
            No33 (41.8%)155 (51.3%)χ2 = 2.286NS
            Yes46 (58.2%)147 (48.7%)
        Depression
            No42 (53.2%)221 (73.2%)χ2 = 11.733.001
            Yes37 (46.8%)81 (26.8%)
        Number of chronic physical conditions
            None8 (10.1%)116 (38.4%)χ2 = 22.818<.001
            One or more71 (89.9%)186 (61.8%)
            Mean number of chronic problems (SD)2.27 (1.28)1.10 (1.16)t test = 7.803<.001
        Number of chronic psychological conditions
            None34 (43.0%)193 (63.9%)χ2 = 11.325.001
            One or more45 (57.0%)109 (36.1%)
            Mean number of chronic problems (SD)0.75 (0.78)0.50 (0.75)t test = 2.619.009
    Utilization Factors
        Number of ER visits
            None/One51 (66.2%)268 (90.5%)χ2 = 29.158<.001
            2+26 (33.8%)28 (9.5%)
            Mean number of ER visits (SD)1.35 (1.72)0.50 (1.32)t test = 4.019<.001
        Proportion of missed appointments based on number of scheduled appointments
            <50%77 (100.0%)241 (81.7%)χ2 = 16.488<.001
            ≥50%0 (0.0%)54 (18.3%)
            Mean proportion (SD)0.1294 (0.1012)0.2730 (0.2141)t test = 8.459<.001
    • NS, not significant.

    • * Some numbers may not add up to N = 381 because of sporadic missing data.

    • † χ2 tests were used for categorical independent variables; t tests were used for continuous independent variables; all t tests were recomputed using Mann-Whitney U nonparametric tests because of skewness in the numbers of ED visits, missed appointments, and chronic problems (no differences in interpretation of the relationship between these variables and the outcome were found).

    • ‡ Patients were categorized as being obese or not based on the notation of this diagnosis on the chronic problem list as well as through the calculation of their body mass index using height and weight data indicated in their medical record.

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    Table 3.

    Multivariate Analyses of Factors Related to Frequent Attendance (N = 381)

    Independent FactorsNumber (and Percentage of Distribution) of Frequent Attenders (N = 79)Frequent Attenders OR (95% CI) Model % Predicted Correctly = 84.4
    Age
        18 to 44 years30 (37.9%)1.0
        45 to 64 years39 (49.4%)1.849 (0.924, 3.701)
        65+ years10 (12.7%)2.199 (0.667, 7.248)
    Gender
        Male18 (22.8%)1.0
        Female61 (77.2%)1.271 (0.618, 2.616)
    ZIP code of residence
        Inside CHC catchment area21 (25.7%)1.0
        Inside city/outside CHC catchment area48 (61.5%)0.730 (0.355, 1.503)
        Outside city limits10 (12.8%)3.676 (1.215, 11.125)
    Medicaid insurance coverage
        No26 (32.9%)1.0
        Yes53 (67.1%)3.221 (1.543, 6.721)
    Diabetes
        No55 (69.6%)1.0
        Yes24 (30.4%)5.034 (2.165, 11.704)
    Depression
        No42 (53.2%)1.0
        Yes37 (46.8%)1.847 (0.960, 3.557)
    Number of ER visits (continuous variable)Mean: 1.35 (SD: 1.72)1.535 (1.232, 1.914)
    Number of missed appointments (as a proportion of scheduled appointments) (continuous variable)Mean: 0.1294 (SD: 0.1012)0.487 (0.362, 0.656)
    Intercept0.177
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The Journal of the American Board of Family Medicine: 19 (3)
The Journal of the American Board of Family Medicine
Vol. 19, Issue 3
May-June 2006
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Characteristics of Frequent Attenders At a Community Health Center
Judith A. Savageau, Martha McLoughlin, Alina Ursan, Yan Bai, Matthew Collins, Suzanne B. Cashman
The Journal of the American Board of Family Medicine May 2006, 19 (3) 265-275; DOI: 10.3122/jabfm.19.3.265

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Characteristics of Frequent Attenders At a Community Health Center
Judith A. Savageau, Martha McLoughlin, Alina Ursan, Yan Bai, Matthew Collins, Suzanne B. Cashman
The Journal of the American Board of Family Medicine May 2006, 19 (3) 265-275; DOI: 10.3122/jabfm.19.3.265
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