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Table 1.  HMO Enrollment for US Children in 2018
HMO Enrollment for US Children in 2018
Table 2.  Adjusted Odds of HMO Enrollment in 2018 for US Children by Race and Ethnicitya
Adjusted Odds of HMO Enrollment in 2018 for US Children by Race and Ethnicitya
1.
Agency for Healthcare Research and Quality. 2019 National Healthcare Quality and Disparities Report. Agency for Healthcare Research and Quality. December 2020. Updated February 2021. Accessed February 24, 2021. https://www.ahrq.gov/research/findings/nhqrdr/nhqdr19/index.html
2.
Kreider  AR, French  B, Aysola  J, Saloner  B, Noonan  KG, Rubin  DM.  Quality of health insurance coverage and access to care for children in low-income families.   JAMA Pediatr. 2016;170(1):43-51. doi:10.1001/jamapediatrics.2015.3028PubMedGoogle ScholarCrossref
3.
Gilchrist-Scott  DH, Feinstein  JA, Agrawal  R.  Medicaid managed care structures and care coordination.   Pediatrics. 2017;140(3):e20163820. doi:10.1542/peds.2016-3820 PubMedGoogle Scholar
4.
Ndumele  CD, Staiger  B, Ross  JS, Schlesinger  MJ.  Network optimization and the continuity of physicians in Medicaid managed care.   Health Aff (Millwood). 2018;37(6):929-935. doi:10.1377/hlthaff.2017.1410 PubMedGoogle ScholarCrossref
5.
Herring  B, Adams  EK.  Using HMOs to serve the Medicaid population: what are the effects on utilization and does the type of HMO matter?   Health Econ. 2011;20(4):446-460. doi:10.1002/hec.1602 PubMedGoogle ScholarCrossref
6.
Zuvekas  S, Olin  G. Accuracy of household reports of Medicare managed care enrollment in the MEPS. Agency for Healthcare Research and Quality. Working Paper No. 08012. December 2008. Accessed December 17, 2020. https://www.meps.ahrq.gov/data_files/publications/workingpapers/wp_08012.pdf
Research Letter
Health Policy
April 2, 2021

Racial and Ethnic Differences in Managed Care Enrollment Among US Children

Author Affiliations
  • 1Department of Population Medicine, Harvard Medical School, Boston, Massachusetts
  • 2Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
  • 3Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
  • 4Stanley Manne Children’s Research Institute, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois
  • 5Department of Pediatrics, University of Massachusetts Medical School, Worcester
  • 6Harvard Kennedy School and Harvard Medical School, Boston, Massachusetts
JAMA Netw Open. 2021;4(4):e214162. doi:10.1001/jamanetworkopen.2021.4162
Introduction

Racial and ethnic inequities exist in child health care outcomes.1 In the United States, medical insurance coverage is an important determinant of timely and affordable health care services.2 One common form of coverage—the health maintenance organization (HMO)—is intended as a lower-cost, more efficient, and better-organized delivery model, focused on managing care within a closed network of hospitals and clinicians who are often paid a fixed fee to administer services. Despite their popularity, the evidence regarding the efficacy of HMOs is mixed when considering clinical outcomes.3 Other evidence raises concerns about high turnover among in-network health care professionals,4 restrictive networks, and reduced access to specialty care.5 Because coverage for children is contingent on parental income and employment, existing economic inequalities raise concerns about unexplored racial and ethnic differences in HMO enrollment. We used national survey data to compare rates of HMO enrollment, by race and ethnicity, for children with commercial and public coverage.

Methods

The 2018 Medical Expenditure Panel Survey Household Component (MEPS-HC) public use file, a nationally representative survey of US households, was used to identify children (from birth to 17 years) with public or commercial coverage for this survey study. The MEPS-HC data were collected by computer-assisted personal interviews using probability-based sampling methods consistent with the American Association for Public Opinion Research (AAPOR) reporting guideline. We defined HMO enrollment during the year using self-reported information. Prior work shows that MEPS respondents provide accurate information regarding HMO enrollment.6 We compared rates of HMO enrollment for 3 mutually exclusive racial/ethnic groups (non-Hispanic White, non-Hispanic Black, and Hispanic individuals) when the response exceeded the recommended sample size thresholds for reliable reporting. Data for race/ethnicity were self-reported, with imputation for missing or incomplete responses (14% for race; 10% for ethnicity) by MEPS based on immediate family members living in the household. To model HMO enrollment, we constructed logistic regression models with robust variance estimators for each coverage group, conditional on age, special health care needs, US Census region, household size, and household income (by percentage of federal poverty level). For commercial coverage, we included 2 additional variables: the purchase of medical insurance coverage on an exchange and whether the respondent’s employer offered more than 1 insurance plan. Statistical analyses were performed with Stata version 14 (StataCorp). Weighting, stratification, and clustering estimators were applied to account for the complex survey design, with significance set at P < .05 using a 2-sided test. The study was designated as non–human participant research by the Harvard Pilgrim Health Care Institutional Review Board.

Results

The cohort included 5543 HMO-enrolled and non–HMO-enrolled children, representing 57.4 million US children. When weighted to represent the national population, 3143 children (56.7%) were non-Hispanic White individuals, 1569 (28.3%) were Hispanic individuals, and 831 (15.0%) were non-Hispanic Black individuals. Approximately two-thirds of the children (3498 [63.1%]) had commercial coverage, and 2162 children (39%) were enrolled in an HMO. Table 1 reports the percentage of HMO enrollment across coverage groups. In unadjusted analysis, Hispanic children (overall, 52.5%; public coverage, 59.4%; and commercial coverage, 42.4%) were most often enrolled in HMOs, followed by non-Hispanic Black children (overall, 39.0%; public coverage, 35.4%; and commercial coverage, 43.2%), and non-Hispanic White children (overall, 31.4%; public coverage, 36.3%; and commercial coverage, 30.1%). Enrollment in HMOs also differed based on US Census region and income. When adjusted for sociodemographic characteristics, Hispanic children with public coverage (adjusted odds ratio [AOR], 2.6; 95% CI, 1.9-3.6); P < .001), non-Hispanic Black children with commercial coverage (AOR, 1.9; 95% CI, 1.2-3.1; P = .004), and Hispanic children with commercial coverage (AOR, 1.7; 95% CI, 1.2-2.5; P = .01) were more likely to be enrolled in HMOs than non-Hispanic White children (Table 2).

Discussion

Enrollment in HMOs is common among US children with both public and commercial medical insurance coverage. At the national level, non-Hispanic Black and Hispanic children are enrolled in HMOs at higher proportions than White children, although rates vary by coverage type. Differences in Medicaid policies regarding mandatory HMO enrollment and employer-sponsored coverage offerings in communities with racial and ethnic minority residents may contribute to our findings. Limitations of this study include the reliance on self-reported data for HMO enrollment and the inability to account for state identifiers that were absent from this data set. Our results call for future inquiry to examine the degree to which the observed national imbalance in HMO enrollment results from state-specific policies, family preferences, or coverage affordability. Absent the unequivocal benefit of HMOs, the observed national differences in enrollment raise concerns for structural racism with regard to children’s coverage, with potential implications for access to care.

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Article Information

Accepted for Publication: February 9, 2021.

Published: April 2, 2021. doi:10.1001/jamanetworkopen.2021.4162

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Peltz A et al. JAMA Network Open.

Corresponding Author: Alon Peltz, MD, MBA, MHS, Harvard Pilgrim Health Care Institute, 401 Park Dr, Ste 401 East, Boston, MA 02215 (alon_peltz@harvardpilgrim.org).

Author Contributions: Drs Peltz and Kan served as co–first authors and contributed equally to the work. Dr Peltz had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Peltz, Kan.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Peltz, Kan.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: Peltz.

Supervision: Davis.

Conflict of Interest Disclosures: Dr Peltz reported receiving funding from the Massachusetts Association of Health Plans for unrelated work and being employed by Harvard Pilgrim Health Care Institute, a wholly owned subsidiary of Harvard Pilgrim Health Care, Inc, a not-for-profit health insurance company, which was not directly involved in this study. Dr Garg reported receiving grants from the National Institutes of Health (NIH) outside the submitted work. Dr Bilaver reported receiving grants from NIH, Thermo Fisher, Genentech, National Confectioners Association, Before Brands, and Food Allergy Research & Education outside the submitted work. No other disclosures were reported.

Funding/Support: Dr Peltz’s work was supported by grant K23HL155425-01 from the National Heart, Lung, and Blood Institute. Dr Kan’s work was supported by grant K12 HS026385-01 from the Agency for Healthcare Research and Quality.

Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

References
1.
Agency for Healthcare Research and Quality. 2019 National Healthcare Quality and Disparities Report. Agency for Healthcare Research and Quality. December 2020. Updated February 2021. Accessed February 24, 2021. https://www.ahrq.gov/research/findings/nhqrdr/nhqdr19/index.html
2.
Kreider  AR, French  B, Aysola  J, Saloner  B, Noonan  KG, Rubin  DM.  Quality of health insurance coverage and access to care for children in low-income families.   JAMA Pediatr. 2016;170(1):43-51. doi:10.1001/jamapediatrics.2015.3028PubMedGoogle ScholarCrossref
3.
Gilchrist-Scott  DH, Feinstein  JA, Agrawal  R.  Medicaid managed care structures and care coordination.   Pediatrics. 2017;140(3):e20163820. doi:10.1542/peds.2016-3820 PubMedGoogle Scholar
4.
Ndumele  CD, Staiger  B, Ross  JS, Schlesinger  MJ.  Network optimization and the continuity of physicians in Medicaid managed care.   Health Aff (Millwood). 2018;37(6):929-935. doi:10.1377/hlthaff.2017.1410 PubMedGoogle ScholarCrossref
5.
Herring  B, Adams  EK.  Using HMOs to serve the Medicaid population: what are the effects on utilization and does the type of HMO matter?   Health Econ. 2011;20(4):446-460. doi:10.1002/hec.1602 PubMedGoogle ScholarCrossref
6.
Zuvekas  S, Olin  G. Accuracy of household reports of Medicare managed care enrollment in the MEPS. Agency for Healthcare Research and Quality. Working Paper No. 08012. December 2008. Accessed December 17, 2020. https://www.meps.ahrq.gov/data_files/publications/workingpapers/wp_08012.pdf
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