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Research ArticleOriginal Research

The Role of Gender in Cost-Related Medication Nonadherence Among Patients with Diabetes

Soumitra S. Bhuyan, Olayinka Shiyanbola, Pallav Deka, Oluwaseyi O. Isehunwa, Aastha Chandak, Sean Huang, Yang Wang, Jay Bhatt, Lu Ning, Wang Jun Lin, David Wyant, Satish Kedia and Cyril F. Chang
The Journal of the American Board of Family Medicine September 2018, 31 (5) 743-751; DOI: https://doi.org/10.3122/jabfm.2018.05.180039
Soumitra S. Bhuyan
From School of Public Health, The University of Memphis, Memphis, TN (SSB, OOI, SK); School of Pharmacy, University of Wisconsin, Madison, WI (OS); Department of Nursing, University of South Dakota, Sioux Falls, SD (PD); Analytica Laser, New York, NY (AC); Department of Health Systems Administration, Georgetown University, Washington D.C. (SH); Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, WI (YW); Health Research and Educational Trust, Chicago, IL (JB); Department of Health Administration, Governor State University, IL (LN); Department of Clinical Pharmacy, University of Tennessee Health Sciences Center, TN (WJL); Jack C. Massey College of Business, Belmont University, TN (DW); Fogelman College of Business and Economics, The University of Memphis, Memphis, TN (CFC).
PhD, MPH
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Olayinka Shiyanbola
From School of Public Health, The University of Memphis, Memphis, TN (SSB, OOI, SK); School of Pharmacy, University of Wisconsin, Madison, WI (OS); Department of Nursing, University of South Dakota, Sioux Falls, SD (PD); Analytica Laser, New York, NY (AC); Department of Health Systems Administration, Georgetown University, Washington D.C. (SH); Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, WI (YW); Health Research and Educational Trust, Chicago, IL (JB); Department of Health Administration, Governor State University, IL (LN); Department of Clinical Pharmacy, University of Tennessee Health Sciences Center, TN (WJL); Jack C. Massey College of Business, Belmont University, TN (DW); Fogelman College of Business and Economics, The University of Memphis, Memphis, TN (CFC).
PhD, BPharm
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Pallav Deka
From School of Public Health, The University of Memphis, Memphis, TN (SSB, OOI, SK); School of Pharmacy, University of Wisconsin, Madison, WI (OS); Department of Nursing, University of South Dakota, Sioux Falls, SD (PD); Analytica Laser, New York, NY (AC); Department of Health Systems Administration, Georgetown University, Washington D.C. (SH); Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, WI (YW); Health Research and Educational Trust, Chicago, IL (JB); Department of Health Administration, Governor State University, IL (LN); Department of Clinical Pharmacy, University of Tennessee Health Sciences Center, TN (WJL); Jack C. Massey College of Business, Belmont University, TN (DW); Fogelman College of Business and Economics, The University of Memphis, Memphis, TN (CFC).
MS, PhD, AGACNP-BC
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Oluwaseyi O. Isehunwa
From School of Public Health, The University of Memphis, Memphis, TN (SSB, OOI, SK); School of Pharmacy, University of Wisconsin, Madison, WI (OS); Department of Nursing, University of South Dakota, Sioux Falls, SD (PD); Analytica Laser, New York, NY (AC); Department of Health Systems Administration, Georgetown University, Washington D.C. (SH); Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, WI (YW); Health Research and Educational Trust, Chicago, IL (JB); Department of Health Administration, Governor State University, IL (LN); Department of Clinical Pharmacy, University of Tennessee Health Sciences Center, TN (WJL); Jack C. Massey College of Business, Belmont University, TN (DW); Fogelman College of Business and Economics, The University of Memphis, Memphis, TN (CFC).
PhD, MPH
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Aastha Chandak
From School of Public Health, The University of Memphis, Memphis, TN (SSB, OOI, SK); School of Pharmacy, University of Wisconsin, Madison, WI (OS); Department of Nursing, University of South Dakota, Sioux Falls, SD (PD); Analytica Laser, New York, NY (AC); Department of Health Systems Administration, Georgetown University, Washington D.C. (SH); Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, WI (YW); Health Research and Educational Trust, Chicago, IL (JB); Department of Health Administration, Governor State University, IL (LN); Department of Clinical Pharmacy, University of Tennessee Health Sciences Center, TN (WJL); Jack C. Massey College of Business, Belmont University, TN (DW); Fogelman College of Business and Economics, The University of Memphis, Memphis, TN (CFC).
PhD
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Sean Huang
From School of Public Health, The University of Memphis, Memphis, TN (SSB, OOI, SK); School of Pharmacy, University of Wisconsin, Madison, WI (OS); Department of Nursing, University of South Dakota, Sioux Falls, SD (PD); Analytica Laser, New York, NY (AC); Department of Health Systems Administration, Georgetown University, Washington D.C. (SH); Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, WI (YW); Health Research and Educational Trust, Chicago, IL (JB); Department of Health Administration, Governor State University, IL (LN); Department of Clinical Pharmacy, University of Tennessee Health Sciences Center, TN (WJL); Jack C. Massey College of Business, Belmont University, TN (DW); Fogelman College of Business and Economics, The University of Memphis, Memphis, TN (CFC).
PhD
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Yang Wang
From School of Public Health, The University of Memphis, Memphis, TN (SSB, OOI, SK); School of Pharmacy, University of Wisconsin, Madison, WI (OS); Department of Nursing, University of South Dakota, Sioux Falls, SD (PD); Analytica Laser, New York, NY (AC); Department of Health Systems Administration, Georgetown University, Washington D.C. (SH); Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, WI (YW); Health Research and Educational Trust, Chicago, IL (JB); Department of Health Administration, Governor State University, IL (LN); Department of Clinical Pharmacy, University of Tennessee Health Sciences Center, TN (WJL); Jack C. Massey College of Business, Belmont University, TN (DW); Fogelman College of Business and Economics, The University of Memphis, Memphis, TN (CFC).
PhD
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Jay Bhatt
From School of Public Health, The University of Memphis, Memphis, TN (SSB, OOI, SK); School of Pharmacy, University of Wisconsin, Madison, WI (OS); Department of Nursing, University of South Dakota, Sioux Falls, SD (PD); Analytica Laser, New York, NY (AC); Department of Health Systems Administration, Georgetown University, Washington D.C. (SH); Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, WI (YW); Health Research and Educational Trust, Chicago, IL (JB); Department of Health Administration, Governor State University, IL (LN); Department of Clinical Pharmacy, University of Tennessee Health Sciences Center, TN (WJL); Jack C. Massey College of Business, Belmont University, TN (DW); Fogelman College of Business and Economics, The University of Memphis, Memphis, TN (CFC).
DO, MPH, MPA
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Lu Ning
From School of Public Health, The University of Memphis, Memphis, TN (SSB, OOI, SK); School of Pharmacy, University of Wisconsin, Madison, WI (OS); Department of Nursing, University of South Dakota, Sioux Falls, SD (PD); Analytica Laser, New York, NY (AC); Department of Health Systems Administration, Georgetown University, Washington D.C. (SH); Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, WI (YW); Health Research and Educational Trust, Chicago, IL (JB); Department of Health Administration, Governor State University, IL (LN); Department of Clinical Pharmacy, University of Tennessee Health Sciences Center, TN (WJL); Jack C. Massey College of Business, Belmont University, TN (DW); Fogelman College of Business and Economics, The University of Memphis, Memphis, TN (CFC).
PhD
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Wang Jun Lin
From School of Public Health, The University of Memphis, Memphis, TN (SSB, OOI, SK); School of Pharmacy, University of Wisconsin, Madison, WI (OS); Department of Nursing, University of South Dakota, Sioux Falls, SD (PD); Analytica Laser, New York, NY (AC); Department of Health Systems Administration, Georgetown University, Washington D.C. (SH); Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, WI (YW); Health Research and Educational Trust, Chicago, IL (JB); Department of Health Administration, Governor State University, IL (LN); Department of Clinical Pharmacy, University of Tennessee Health Sciences Center, TN (WJL); Jack C. Massey College of Business, Belmont University, TN (DW); Fogelman College of Business and Economics, The University of Memphis, Memphis, TN (CFC).
PhD
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David Wyant
From School of Public Health, The University of Memphis, Memphis, TN (SSB, OOI, SK); School of Pharmacy, University of Wisconsin, Madison, WI (OS); Department of Nursing, University of South Dakota, Sioux Falls, SD (PD); Analytica Laser, New York, NY (AC); Department of Health Systems Administration, Georgetown University, Washington D.C. (SH); Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, WI (YW); Health Research and Educational Trust, Chicago, IL (JB); Department of Health Administration, Governor State University, IL (LN); Department of Clinical Pharmacy, University of Tennessee Health Sciences Center, TN (WJL); Jack C. Massey College of Business, Belmont University, TN (DW); Fogelman College of Business and Economics, The University of Memphis, Memphis, TN (CFC).
PhD
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Satish Kedia
From School of Public Health, The University of Memphis, Memphis, TN (SSB, OOI, SK); School of Pharmacy, University of Wisconsin, Madison, WI (OS); Department of Nursing, University of South Dakota, Sioux Falls, SD (PD); Analytica Laser, New York, NY (AC); Department of Health Systems Administration, Georgetown University, Washington D.C. (SH); Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, WI (YW); Health Research and Educational Trust, Chicago, IL (JB); Department of Health Administration, Governor State University, IL (LN); Department of Clinical Pharmacy, University of Tennessee Health Sciences Center, TN (WJL); Jack C. Massey College of Business, Belmont University, TN (DW); Fogelman College of Business and Economics, The University of Memphis, Memphis, TN (CFC).
PhD
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Cyril F. Chang
From School of Public Health, The University of Memphis, Memphis, TN (SSB, OOI, SK); School of Pharmacy, University of Wisconsin, Madison, WI (OS); Department of Nursing, University of South Dakota, Sioux Falls, SD (PD); Analytica Laser, New York, NY (AC); Department of Health Systems Administration, Georgetown University, Washington D.C. (SH); Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, WI (YW); Health Research and Educational Trust, Chicago, IL (JB); Department of Health Administration, Governor State University, IL (LN); Department of Clinical Pharmacy, University of Tennessee Health Sciences Center, TN (WJL); Jack C. Massey College of Business, Belmont University, TN (DW); Fogelman College of Business and Economics, The University of Memphis, Memphis, TN (CFC).
PhD
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Article Figures & Data

Tables

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    Table 1.

    Analytical Sample Description in Percentages (Unweighted Sample N = 11,448)

    VariablesNo.All ParticipantsMalesFemalesP Values
    Skipped medication1,34911.8 (11.1–12.6)10.2 (9.2–11.3)13.5 (12.4–14.7)<.001
    Took less medication1,41312.2 (11.5–13.0)10.5 (9.5–11.6)13.9 (12.8–15.1)<.001
    Delayed filling prescription1,67114.6 (13.8–15.5)12.5 (11.4–13.6)16.8 (15.6–18.1)<.001
    Lower-cost medication3,28129.9 (28.8–31.0)28.0 (26.4. 29.6)31.8 (30.2–33.4)<.001
    Usual source of care
        Yes10,94095.8 (95.4–96.3)95.5 (94.8–96.1)96.2 (95.6–96.7).135
        No5084.2 (3.7–4.6)4.5 (3.9–5.2)3.8 (3.3–4.4)
    Age-y
        18 to 292322.5 (2.1–2.9)2.0 (1.6–2.6)2.9 (2.4–3.6).006
        30 to 441,09810.2 (9.5–10.9)9.9 (8.9–10.9)10.5 (9.5–11.5)
        45 to 644,98847.3 (46.0–48.5)49.3 (47.4–51.1)45.3 (43.5–47.1)
        65 and above5,13040.1 (38.8–41.3)38.8 (37.1–40.6)41.3 (39.6–43.0)
    Race/ethnicity
        Non-Hispanic white6,35162.9 (61.6–64.2)64.8 (63.0–66.6)60.9 (59.3–62.6)<.001
        Non-Hispanic black2,26215.1 (14.2–16.1)13.3 (12.2–14.5)17.0 (15.8–18.2)
        Hispanic1,98215.1 (14.1–16.2)15.0 (13.6–16.6)15.1 (14.0–16.3)
        Non-Hispanic other8536.9 (6.3–7.6)6.8 (6.0–7.7)7.0 (6.1–7.9)
    Education attainment
        Less than high school1,2409.1 (8.4–9.8)8.1 (7.2–9.1)10.0 (9.1–10.9)<.001
        High school4,86342.3 (41.0–43.5)41.2 (39.4–43.1)43.3 (41.7–44.9)
        Some college and above5,34548.7 (47.3–50.0)50.6 (48.7–52.5)46.7 (45.1–48.3)
    Marital status
        Married4,98457.3 (56.1–58.6)67.3 (65.7–68.8)47.3 (45.4–49.2)<.001
        Nonmarried6,46442.7 (41.4–43.9)32.7 (31.2–34.3)52.7 (50.8–54.6)
    Health insurance
        Private5,33351.6 (50.2–53.0)53.8 (52.0–55.6)49.4 (47.5–51.3).001
        Public5,14939.9 (38.6–41.2)37.9 (36.3–39.5)41.9 (40.1–4.37)
        No coverage9668.5 (7.9–9.2)8.3 (7.4–9.3)8.7 (7.9–9.6)
    Poverty ratio
        Less than 12,48216.4 (15.5–17.3)13.1 (12.0–14.2)19.7 (18.4–21.0)<.001
        1 to 22,86922.8 (21.7–23.9)20.1 (18.8–21.5)25.4 (24.0–27.0)
        Greater than 26,09760.9 (59.5–62.2)66.8 (65.1–68.5)54.9 (53.1–56.7)
    Self-reported health
        Good and above6,69960.4 (59.2–61.6)62.4 (60.7–64.2)58.4 (56.8–60.1).001
        Fair and below4,74939.6 (38.4–40.8)37.6 (35.8–39.3)41.6 (39.9–43.2)
    Current smoker
        Yes1,80915.2 (14.3–16.1)16.4 (15.1–17.7)14.0 (13.0–15.2).004
        No9,63984.8 (83.9–85.7)83.6 (82.3–84.9)86.0 (84.8–87.0)
    Alcohol use
        Heavy & medium1,07810.1 (9.4–10.9)15.5 (14.3–16.8)4.8 (4.1–5.6)<.001
        Light & no use10,37089.9 (89.1–90.6)84.5 (83.2–85.7)95.2 (94.4–95.9)
    Functional limitation
        Not limited in any way3,38232.2 (31.1–33.3)38.6 (36.8–40.3)25.8 (24.4–27.2)<.001
        Has a functional limitation8,06667.8 (66.7–68.9)61.4 (59.7–63.2)74.2 (72.8–75.6)
    • All values are in percentages. Values within parenthesis indicate 95% Confidence Intervals.

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    Table 2.

    Multivariate Logistic Regression Models for Association between Gender and Cost-Related Medication Nonadherence among Diabetes Patients (N = 11,448)

    Skipped Medication OR (95% CI)Took Less Medication OR (95% CI)Delayed Filling Prescription OR (95% CI)Lower-Cost Medication OR (95% CI)
    Gender
        Male (Ref)1.001.001.001.00
        Female1.30** (1.09–1.55)1.26* (1.06–1.50)1.29*** (1.11–1.50)1.17** (1.04–1.32)
    Usual Source of Care
        Yes0.59*** (0.44–0.79)0.56*** (0.42–0.74)0.60*** (0.45–0.79)1.09 (0.84–1.42)
        No (Ref)1.001.001.001.00
    Age
        18 to 29 (Ref)1.001.001.001.00
        30 to 440.99 (0.63–1.54)1.05 (0.68–1.63)1.13 (0.72–1.76)1.28 (0.88–1.87)
        45 to 640.73 (0.48–1.12)0.80 (0.53–1.21)0.75 (0.48–1.16)1.06 (0.74–1.50)
        65 and above0.24*** (0.15–0.38)0.29*** (0.19–0.46)0.28*** (0.18–0.44)0.69* (0.48–0.99)
    Race/Ethncity
        Non-Hispanic White (Ref)1.001.001.001.00
        Non-Hispanic Black1.12 (0.92–1.37)1.20 (0.99–1.46)1.09 (0.91–1.30)0.80** (0.69–0.92)
        Hispanic1.02 (0.81–1.28)0.99 (0.78–1.24)0.85 (0.68–1.06)0.72*** (0.60–0.85)
        Non-Hispanic Other0.61** (0.42–0.89)0.63* (0.43–0.92)0.50*** (0.35–0.71)0.64*** (0.50–0.81)
    Education Attainment
        Less than High School (Ref)1.001.001.001.00
        High School1.18 (0.88–1.58)1.25 (0.93–1.68)1.06 (0.81–1.39)1.12 (0.90–1.39)
        Some College and Above1.36 (0.99–1.86)1.53** (1.12–2.09)1.17 (0.87–1.58)1.21 (0.96–1.53)
    Marital Status
        Married1.09 (0.93–1.28)1.08 (0.92–1.26)1.07 (0.92–1.24)1.11 (0.99–1.25)
        Non-married (Ref)1.001.001.001.00
    Health Insurance
        Private (Ref)1.001.001.001.00
        Public0.74** (0.61–0.91)0.68*** (0.55–0.83)0.69*** (0.57–0.82)0.79*** (0.69–0.89)
        No Coverage2.72*** (2.10–3.53)2.46*** (1.91–3.17)2.26*** (1.79–2.83)2.11*** (1.73–2.58)
    Poverty Ratio
        Less than 1 (Ref)1.001.001.001.00
        1 to 21.24 (0.98–1.56)1.14 (0.91–1.43)1.14 (0.91–1.43)1.61*** (1.35–1.92)
        Greater than 20.62*** (0.46–0.82)0.55*** (0.42–0.71)0.59*** (0.46–0.76)1.30** (1.08–1.56)
    Self-reported Health
        Good and above0.55*** (0.46–0.65)0.53*** (0.44–0.63)0.57*** (0.48–0.67)0.73*** (0.65–0.83)
        Fair and below (Ref)1.001.001.001.00
    Current Smoker
        Yes1.39** (1.14–1.70)1.36** (1.12–1.64)1.28* (1.06–1.54)1.12 (0.97–1.30)
        No (Ref)1.001.001.001.00
    Alcohol Use
        Heavy & Medium1.05 (0.80–1.37)0.94 (0.72–1.22)0.83 (0.64–1.09)0.86 (0.71–1.05)
        Light & No use (Ref)1.001.001.001.00
    Functional Limitation
        Not limited in any way (Ref)1.001.001.001.00
        Has a functional limitation1.90*** (1.55–2.33)2.01*** (1.65–2.46)1.98*** (1.65–2.38)1.67*** (1.46–1.92)
    • CI, confidential interval; OR, odd ratio.

    • ↵* P < .05.

    • ↵** P < .01.

    • ↵*** P < .001.

    • Regression adjusted for survey year.

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The Journal of the American Board of Family     Medicine: 31 (5)
The Journal of the American Board of Family Medicine
Vol. 31, Issue 5
September-October 2018
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The Role of Gender in Cost-Related Medication Nonadherence Among Patients with Diabetes
Soumitra S. Bhuyan, Olayinka Shiyanbola, Pallav Deka, Oluwaseyi O. Isehunwa, Aastha Chandak, Sean Huang, Yang Wang, Jay Bhatt, Lu Ning, Wang Jun Lin, David Wyant, Satish Kedia, Cyril F. Chang
The Journal of the American Board of Family Medicine Sep 2018, 31 (5) 743-751; DOI: 10.3122/jabfm.2018.05.180039

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The Role of Gender in Cost-Related Medication Nonadherence Among Patients with Diabetes
Soumitra S. Bhuyan, Olayinka Shiyanbola, Pallav Deka, Oluwaseyi O. Isehunwa, Aastha Chandak, Sean Huang, Yang Wang, Jay Bhatt, Lu Ning, Wang Jun Lin, David Wyant, Satish Kedia, Cyril F. Chang
The Journal of the American Board of Family Medicine Sep 2018, 31 (5) 743-751; DOI: 10.3122/jabfm.2018.05.180039
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