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Research ArticleOriginal Research

Underinsurance in Primary Care: A Report from the State Networks of Colorado Ambulatory Practices and Partners (SNOCAP)

Kenton Voorhees, Douglas H. Fernald, Caroline Emsermann, Linda Zittleman, Peter C. Smith, Bennett Parnes, Kathy Winkelman and John M. Westfall
The Journal of the American Board of Family Medicine July 2008, 21 (4) 309-316; DOI: https://doi.org/10.3122/jabfm.2008.04.080001
Kenton Voorhees
MD
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Douglas H. Fernald
MA
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Caroline Emsermann
MS
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Linda Zittleman
MSPH
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Peter C. Smith
MD
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Bennett Parnes
MD
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Kathy Winkelman
BS
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John M. Westfall
MD, MPH
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    Figure 1.

    Survey response diagram and underinsured sample. *Total number of patients seen on the study day was recorded by each practice except one small practice which provided an average daily patient count (40 patients per day).

Tables

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    Table 1.

    Definitions of Insurance Strata

    StratumDefinition
    UninsuredPatient marked “no insurance” during the past 12 months
    Partially insuredPatient marked “no insurance” and at least one other type of insurance during the past 12 months
    Adequately insuredPatient marked at least one type of insurance during the past 12 months and marked “no” or “don't know” for all indicators of underinsurance
    UnderinsuredPatient marked at least one type of insurance during the past 12 months and marked “yes” for at least one indicator of underinsurance
    • View popup
    Table 2.

    Types of Clinics that Participated in this Study (n = 37)

    CharacteristicN (%)*
    Family medicine30 (81.1)
    Internal medicine4 (10.8)
    Pediatrics2 (5.4)
    Geriatrics1 (2.7)
    Urban/suburban21 (56.8)
    Rural16 (43.2)
    Community health center11 (29.7)
    Private practice11 (29.7)
    Hospital affiliate10 (27.0)
    Residency practice5 (13.5)
    • * Totals may not equal 100% because of rounding.

    • View popup
    Table 3.

    Demographic and Other Characteristics of Survey Respondents (n = 1133)

    CharacteristicN (%)
    Age (years)
        ≤17113 (10.0)
        8–39424 (37.4)
        40–64390 (34.4)
        ≥65206 (18.2)
    Sex
        Male285 (25.2)
        Female615 (54.3)
        Unknown233 (20.6)
    Race/ethnicity
        White (non-Hispanic)672 (59.3)
        African-American (non-Hispanic)60 (5.3)
        Other (non-Hispanic)48 (4.2)
        Hispanic317 (28.0)
        Unknown36 (3.2)
    Income
        <$25,000522 (46.1)
        $25,000–$49,999220 (19.4)
        ≥$50,000239 (21.1)
        Unknown152 (13.4)
    General health status
        Good, very good, or excellent734 (64.8)
        Fair or poor342 (30.2)
        Unknown57 (5.0)
    Insurance Type
        Medicare only86 (7.6)
        Medicaid only193 (17.0)
        Private only213 (18.8)
        All others480 (42.4)
        No insurance112 (9.9)
        Missing49 (4.3)
    • View popup
    Table 4.

    Demographic Characteristics of Underinsured Patients Compared with Those of Adequately Insured Patients*

    CharacteristicInsuredUninsured (n = 112)
    Underinsured (n = 344)Adequately insured (n = 604)
    Age†
        ≤1722 (6.4)57 (9.4)7 (6.3)
        18–39166 (48.3)176 (29.1)57 (50.9)
        40–64130 (37.8)197 (32.6)45 (40.2)
        ≥6526 (7.6)174 (28.8)3 (2.7)
    Insured Patients344 (36.3)604 (63.7)
    Sex†
        Male66 (19.2)158 (26.2)63 (56.3)
        Female228 (66.3)296 (49.0)25 (22.3)
        Unknown50 (14.5)150 (24.8)24 (21.4)
    Race/ethnicity†
        White (non-Hispanic)189 (54.9)411 (68.1)46 (41.1)
        African-American (non-Hispanic)27 (7.9)22 (3.6)7 (6.3)
        Other (non-Hispanic)12 (3.5)31 (5.1)4 (3.6)
        Hispanic112 (32.6)134 (22.2)55 (49.1)
        Unknown4 (1.2)6 (1.0)0 (0)
    Income†
        <$25,000184 (53.5)230 (38.1)79 (70.5)
        $25,000–$49,99987 (25.3)111 (18.4)12 (10.7)
        ≥$50,00051 (14.8)179 (29.6)5 (4.5)
        Unknown22 (6.4)84 (13.9)16 (14.3)
    Health suffered from inability to get care because of cost†
        Yes173 (50.3)8 (1.3)52 (46.4)
        No/don't know156 (45.3)577 (95.5)52 (46.4)
        Unknown15 (4.4)19 (3.2)8 (7.1)
    General health status†
        Good, very good, or excellent202 (58.7)445 (73.7)54 (48.2)
        Fair or poor134 (39.0)136 (22.5)53 (47.3)
        Unknown8 (2.3)23 (3.8)5 (4.5)
    Insurance Type
        Medicare only28 (8.1)58 (9.6)
        Medicaid only83 (24.1)110 (18.2)
        Private only73 (21.2)140 (23.2)
        All others160 (46.5)296 (49.0)
    • All values shown as n (%).

    • * Does not include the partially insured (those who had insurance but not for the entire year, which was an additional 73 patients).

    • † P < .01 for unadjusted χ2 test. Analysis for this table did not adjust for practice as a random effect.

    • View popup
    Table 5.

    Underinsured Versus Adequately Insured: Odds Ratios of Being Underinsured by Patient Demographic and Insurance Characteristics

    Demographic VariableUnderinsured Versus Adequately Insured (n = 948)
    Odds Ratio (95% CI)P
    Sex
        Female2.25 (1.56–3.24)
        Unknown1.28 (0.80–2.05)<.001
        Male1.00 (1.00–1.00)
    Age
        ≤172.51 (1.31–4.81)
        18–396.18 (3.86–9.92)<.001
        40–644.39 (2.74–7.04)
         ≥651.00 (1.00–1.00)
    Race/ethnicity*
        African-American (non-Hispanic)2.63 (1.44–4.83)
        Hispanic1.76 (1.26–2.45).001
        Other (non-Hispanic)0.84 (0.42–1.69)
        White (non-Hispanic)1.00 (1.00–1.00)
    Rural
        Yes0.85 (0.56–1.29).462
        No1.00 (1.00–1.00)
    Annual income
        <$25,0002.70 (1.85–3.94)
        $25,000–$49,9992.69 (1.76–4.10)<.001
        Missing0.92 (0.52–1.62)
        ≥$50,0001.00 (1.00–1.00)
    General health status
        Poor/fair2.15 (1.59–2.89)
        Missing0.85 (0.37–1.94)<.001
        Good/excellent1.00 (1.00–1.00)
    I pay or a family member pays for my insurance
        Yes1.01 (0.76–1.34).967
        No1.00 (1.00–1.00)
    My employer or a family member's employer pays for my insurance
        Yes0.65 (0.46–0.90).010
        No1.00 (1.00–1.00)
    Government pays for my insurance
        Yes0.95 (0.72–1.26).722
        No1.00 (1.00–1.00)
    Health suffered from inability to get care because of cost*
        Yes79.21 (38.34–163.64)<.001
        No/don't know1.00 (1.00–1.00)
    Medicaid
        Yes1.21 (0.89–1.64).219
        No1.00 (1.00–1.00)
    Medicare
        Yes0.47 (0.34–0.64)<.001
        No1.00 (1.00–1.00)
    • * Bolded values indicate statistical association at α = 0.01.

    • Note: Estimated odds ratio and 95% CI are large when underinsured versus insured respondents are compared. This is because of the small number of insured respondents (n = 8) who reported that their health suffered because of high costs.

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The Journal of the American Board of Family Medicine: 21 (4)
The Journal of the American Board of Family Medicine
Vol. 21, Issue 4
July-August 2008
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Underinsurance in Primary Care: A Report from the State Networks of Colorado Ambulatory Practices and Partners (SNOCAP)
Kenton Voorhees, Douglas H. Fernald, Caroline Emsermann, Linda Zittleman, Peter C. Smith, Bennett Parnes, Kathy Winkelman, John M. Westfall
The Journal of the American Board of Family Medicine Jul 2008, 21 (4) 309-316; DOI: 10.3122/jabfm.2008.04.080001

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Underinsurance in Primary Care: A Report from the State Networks of Colorado Ambulatory Practices and Partners (SNOCAP)
Kenton Voorhees, Douglas H. Fernald, Caroline Emsermann, Linda Zittleman, Peter C. Smith, Bennett Parnes, Kathy Winkelman, John M. Westfall
The Journal of the American Board of Family Medicine Jul 2008, 21 (4) 309-316; DOI: 10.3122/jabfm.2008.04.080001
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