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Research ArticleOriginal Research

Community-Based Health Care Navigation's Impact on Access to Primary Care for Low-Income Latinos

Sonali Saluja, Michael Hochman, Rachel Dokko, Janina Lord Morrison, Celia Valdez, Steven Baldwin, Megha D. Tandel and Michael Cousineau
The Journal of the American Board of Family Medicine January 2022, 35 (1) 44-54; DOI: https://doi.org/10.3122/jabfm.2022.01.210253
Sonali Saluja
From The Gehr Family Center for Health Systems Science and Innovation, Keck School of Medicine of USC, Los Angeles, CA (SS, MH, MC); Keck School of Medicine, University of Southern California, Los Angeles, CA (RD, MDT); Division of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, CA (JLM); Maternal and Child Health Access, Los Angeles County, Los Angeles, CA (CV); Division of Maternal, Child, and Adolescent Health, Los Angeles County Department of Public Health, Los Angeles, CA (SB); Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA (MC).
MD, MPH
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Michael Hochman
From The Gehr Family Center for Health Systems Science and Innovation, Keck School of Medicine of USC, Los Angeles, CA (SS, MH, MC); Keck School of Medicine, University of Southern California, Los Angeles, CA (RD, MDT); Division of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, CA (JLM); Maternal and Child Health Access, Los Angeles County, Los Angeles, CA (CV); Division of Maternal, Child, and Adolescent Health, Los Angeles County Department of Public Health, Los Angeles, CA (SB); Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA (MC).
MD, MPH
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Rachel Dokko
From The Gehr Family Center for Health Systems Science and Innovation, Keck School of Medicine of USC, Los Angeles, CA (SS, MH, MC); Keck School of Medicine, University of Southern California, Los Angeles, CA (RD, MDT); Division of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, CA (JLM); Maternal and Child Health Access, Los Angeles County, Los Angeles, CA (CV); Division of Maternal, Child, and Adolescent Health, Los Angeles County Department of Public Health, Los Angeles, CA (SB); Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA (MC).
BA
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Janina Lord Morrison
From The Gehr Family Center for Health Systems Science and Innovation, Keck School of Medicine of USC, Los Angeles, CA (SS, MH, MC); Keck School of Medicine, University of Southern California, Los Angeles, CA (RD, MDT); Division of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, CA (JLM); Maternal and Child Health Access, Los Angeles County, Los Angeles, CA (CV); Division of Maternal, Child, and Adolescent Health, Los Angeles County Department of Public Health, Los Angeles, CA (SB); Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA (MC).
MD, MPH
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Celia Valdez
From The Gehr Family Center for Health Systems Science and Innovation, Keck School of Medicine of USC, Los Angeles, CA (SS, MH, MC); Keck School of Medicine, University of Southern California, Los Angeles, CA (RD, MDT); Division of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, CA (JLM); Maternal and Child Health Access, Los Angeles County, Los Angeles, CA (CV); Division of Maternal, Child, and Adolescent Health, Los Angeles County Department of Public Health, Los Angeles, CA (SB); Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA (MC).
BA
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Steven Baldwin
From The Gehr Family Center for Health Systems Science and Innovation, Keck School of Medicine of USC, Los Angeles, CA (SS, MH, MC); Keck School of Medicine, University of Southern California, Los Angeles, CA (RD, MDT); Division of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, CA (JLM); Maternal and Child Health Access, Los Angeles County, Los Angeles, CA (CV); Division of Maternal, Child, and Adolescent Health, Los Angeles County Department of Public Health, Los Angeles, CA (SB); Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA (MC).
MS, RD
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Megha D. Tandel
From The Gehr Family Center for Health Systems Science and Innovation, Keck School of Medicine of USC, Los Angeles, CA (SS, MH, MC); Keck School of Medicine, University of Southern California, Los Angeles, CA (RD, MDT); Division of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, CA (JLM); Maternal and Child Health Access, Los Angeles County, Los Angeles, CA (CV); Division of Maternal, Child, and Adolescent Health, Los Angeles County Department of Public Health, Los Angeles, CA (SB); Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA (MC).
MPH
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Michael Cousineau
From The Gehr Family Center for Health Systems Science and Innovation, Keck School of Medicine of USC, Los Angeles, CA (SS, MH, MC); Keck School of Medicine, University of Southern California, Los Angeles, CA (RD, MDT); Division of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, CA (JLM); Maternal and Child Health Access, Los Angeles County, Los Angeles, CA (CV); Division of Maternal, Child, and Adolescent Health, Los Angeles County Department of Public Health, Los Angeles, CA (SB); Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA (MC).
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    Figure 1.

    Study design.

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    Table 1.

    Characteristics of Study Participants

    Comparison GroupIntervention GroupP Value
    n = 182% (n)n = 124% (n)
    Age<0.001
        18 to 3454 (99)26 (33)
        35 to 4424 (44)39 (48)
        45 to 5416 (29)25 (31)
        55 to 646 (10)10 (12)
    Sex0.384
        Male22 (40)18 (22)
        Female78 (142)82 (101)
    Race/Ethnicity0.183
        Latino90 (164)94 (117)
        Non-Latino10 (18)6 (7)
    Employment status0.179
        Full time17 (31)23 (28)
        Part time25 (45)27 (33)
        Unemployed55 (101)45 (56)
        Don't know or refused3 (5)6 (7)
    Income as a percentage of federal poverty level0.065*
        <100%65 (110)70 (86)
        100 to 199%19 (33)24 (29)
        200 to 299%11 (18)3 (4)
        300 to 399%4 (6)1 (1)
        >399%1 (2)2 (2)
    Level of education0.004
        8th grade or less25 (45)27 (34)
        Grades 9 to 1224 (44)43 (54)
        Completed high school16 (29)10 (12)
        Some college or beyond22 (40)14 (17)
        Don't know or refused13 (24)6 (7)
    Primary language<0.001
        English32 (59)14 (17)
        Spanish68 (123)86 (107)
    Self-rated health0.061
        Excellent/very good/good60 (110)50 (61)
        Fair/poor40 (72)50 (62)
    Referral source to CHOI†0.683
        Health system28 (50)30 (36)
        Community67 (120)64 (78)
    • Abbreviation: CHOI, Children's Health Outreach Initiative.

    • ↵* Fisher's exact.

    • ↵† Health system referral sources included emergency room, hospital, clinic, health plan, or online insurance enrollment (such as Covered California); community referral sources included friend or family member, school, Women, Infants, and Children program, other community agencies, brochure or advertisement, Department of Public Social Services, or 211 (Los Angeles County information hotline).

    • View popup
    Table 2.

    Differences in Access to Primary Care and Health Care Use Among Children's Health Outreach Initiative (CHOI) Clients

    Unadjusted % (n)Adjusted*
    OutcomeComparison (n = 182)Intervention (n = 123)Odds Ratio (95% CI)
    Has a primary care clinic47.3 (86)74.8 (92)3.0 (1.7-5.4)‡
    Has a primary care provider34.6 (63)59.0 (72)2.6 (1.5-4.4)‡
    Has difficulty accessing care63.5 (113)47.2 (58)0.4 (0.2-0.6)‡
    Had a checkup in the past year (n = 144)†73.1 (49)83.1 (64)1.9 (0.7-4.9)
    Any emergency room visits that did not result in a hospitalization in the past 12 months91.2 (166)90.3 (112)1.0 (0.4-2.4)
    • Abbreviation: CI, confidence interval.

    • ↵* Models are adjusted for age, race/ethnicity, sex, education, language, federal poverty level, employment, self-reported health status, and referral source.

    • ↵† Only 144 participants who had a primary care clinic were asked if they had a checkup in the past year.

    • ↵‡ P < 0.01.

    • View popup
    Table 3.

    Differences in Barriers to Medical Care Among Children's Health Outreach Initiative (CHOI) Clients

    Unadjusted % (n)Adjusted*
    Have You Been Delaying or Avoiding Care Due to…Comparison (n = 182)Intervention (n = 123)Odds Ratio (95% CI)
    Insurance and cost barriers
        Lack of health insurance61.5 (112)36.6 (45)0.3 (0.2-0.5)3
        Insurance/health plan that did not approve or pay for the visit28.0 (51)21.1 (26)0.7 (0.4-1.2)
        Could not afford to pay for the visit53.0 (96)35.8 (44)0.4 (0.3-0.7)†
    Knowledge barriers
        No usual place of care48.9 (89)33.3 (41)0.4 (0.2-0.7)†
        Did not know how or where to get care47.2 (85)28.7 (35)0.4 (0.2-0.7)†
    Clinic barriers
        Did not like clinic or provider11.7 (21)13.9 (17)1.4 (0.6-3.0)
        Could not get an appointment in a timely manner26.4 (48)27.6 (34)1.4 (0.8-2.4)
        Could not contact the clinic over the phone18.1 (33)19.5 (24)1.1 (0.6-2.2)
        Long wait times to see the doctor22.1 (40)23.6 (29)1.1 (0.6-2.0)
        Clinic was closed when they could go20.3 (37)14.6 (18)0.8 (0.4-1.5)
    Other barriers
        Lack of transportation19.8 (36)9.7 (12)0.4 (0.2-0.9)†
        Could not take time off work or leave children/family30.2 (55)20.3 (25)0.6 (0.4-1.2)
        Fear of getting medical care18.7 (34)17.1 (21)0.7 (0.4-1.5)
        Language, communication, cultural problems12.6 (23)12.2 (15)0.6 (0.3-1.3)
    • Abbreviation: CI, confidence interval.

    • ↵* Models are adjusted for age, race/ethnicity, sex, education, language, federal poverty level, employment, self-reported health status, and referral source.

    • ↵† P < .01.

    • View popup
    Table A1.

    Subgroup Analysis on Children's Health Outreach Initiative (CHOI) Clients with Emergency Medicaid

    Comparison Groupn = 46% (n)Intervention Groupn = 50% (n)P Value
    Primary care clinic
    Yes37 (17)68 (34)0.002
    No63 (29)32 (16)
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The Journal of the American Board of Family     Medicine: 35 (1)
The Journal of the American Board of Family Medicine
Vol. 35, Issue 1
January/February 2022
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Community-Based Health Care Navigation's Impact on Access to Primary Care for Low-Income Latinos
Sonali Saluja, Michael Hochman, Rachel Dokko, Janina Lord Morrison, Celia Valdez, Steven Baldwin, Megha D. Tandel, Michael Cousineau
The Journal of the American Board of Family Medicine Jan 2022, 35 (1) 44-54; DOI: 10.3122/jabfm.2022.01.210253

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Community-Based Health Care Navigation's Impact on Access to Primary Care for Low-Income Latinos
Sonali Saluja, Michael Hochman, Rachel Dokko, Janina Lord Morrison, Celia Valdez, Steven Baldwin, Megha D. Tandel, Michael Cousineau
The Journal of the American Board of Family Medicine Jan 2022, 35 (1) 44-54; DOI: 10.3122/jabfm.2022.01.210253
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