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      Association of Medicaid Expansion With 5-Year Changes in Hypertension and Diabetes Outcomes at Federally Qualified Health Centers

      research-article
      , PhD, MPH 1 , , , MD, MPH 2 , 3 , , MPH 1 , , MD, MPH 4 , 5
      JAMA Health Forum
      American Medical Association

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          Key Points

          Question

          What has been the 5-year association of Medicaid expansion with uninsurance rates, hypertension and diabetes outcomes, and racial and ethnic differences in outcomes in a national sample of federally qualified health centers (FQHCs)?

          Findings

          In this cohort study using a difference-in-differences analysis of 946 FQHCs that serve 18.9 million patients per year, Medicaid expansion-state FQHCs experienced improved blood pressure and glucose control measures over 5 years overall and for Black and Hispanic patients compared with FQHCs in nonexpansion states. Expansion was also associated with sustained reductions in uninsurance at FQHCs.

          Meaning

          The findings of this cohort study suggest that Medicaid expansion was associated with better 5-year health performance outcomes for FQHCs, which may be important for states that are considering Medicaid expansion.

          Abstract

          Importance

          State decisions to expand Medicaid eligibility were particularly consequential for federally qualified health centers (FQHCs), which serve 30 million low-income patients across the US. The longer-term association of Medicaid expansion with health outcomes at FQHCs is unknown.

          Objective

          To assess the 5-year association of Medicaid expansion with uninsurance rates and hypertension and diabetes outcome measures by race and ethnicity in a nationally representative population of FQHCs.

          Design, Setting, and Participants

          Using a difference-in-differences analysis of a retrospective cohort from the universe of US FQHCs, changes in uninsurance rates and intermediate health outcomes for hypertension and diabetes by race and ethnicity were compared between Medicaid expansion and nonexpansion states before (2012-2013) vs after (2014-2018) expansion. Data were analyzed from September 2020 to March 2021.

          Exposures

          Location in a state that expanded Medicaid eligibility as of 2014.

          Main Outcomes and Measures

          Rates of uninsurance, the proportion of patients with hypertension with a blood pressure less than 140/90 mm Hg, and the proportion of patients with diabetes with glycosylated hemoglobin levels of 9% or less, as stratified by race and ethnicity.

          Results

          Of the patients at 578 expansion-state FQHCs (serving 13.0 million patients per year) and 368 nonexpansion-state FQHCs (serving 6.0 million patients per year) in our study sample, 64.4% were age 18 to 64 years, 57.4% were women, 18.9% were non-Hispanic Black, and 27.3% were Hispanic. Following expansion, FQHCs in Medicaid expansion states experienced a 9.24 percentage point (PP) (95% CI, 7.94-10.54) decline in rates of uninsurance over the pooled 5-year expansion period compared with nonexpansion-state FQHCs. Across this 5-year period, expansion was associated with a 1.61-PP (95% CI, 0.58-2.64) comparative improvement in hypertension control and a 1.84-PP (95% CI, 0.71-2.98) comparative improvement in glucose control. Stratified results suggest that improvements were consistently observed in Black and Hispanic populations. The magnitude of change tended to increase with implementation time. For instance, by year 5, expansion was associated with a 3.38-PP (95% CI, 0.80-5.96) comparative improvement in hypertension control and a 3.88-PP (95% CI, 0.86-6.90) comparative improvement in glucose control among Black populations.

          Conclusions and Relevance

          In this nationally representative cohort study, Medicaid expansion was associated with sustained increases in insurance coverage and improvements in chronic disease outcome measures at FQHCs after 5 years overall and among Black and Hispanic populations. States considering Medicaid expansion may benefit from improved longer-run health measures for underserved patients with chronic conditions.

          Abstract

          This cohort study examines the 5-year association of Medicaid expansion with uninsurance rates and hypertension and diabetes outcome measures by race and ethnicity in federally qualified health centers.

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          Most cited references51

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          Social Determinants of Health and Diabetes: A Scientific Review

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            Prevalence of Diabetes by Race and Ethnicity in the United States, 2011-2016

            During 2011-2016, how prevalent was diabetes among major race/ethnicity groups and subgroups of Hispanic and non-Hispanic Asian adults in the United States? In this cross-sectional study that included 7575 adults, the age- and sex-adjusted diabetes prevalence was 12.1% for non-Hispanic white, 20.4% for non-Hispanic black, 22.1% for Hispanic, and 19.1% for non-Hispanic Asian groups. The diabetes prevalence also differed significantly among Hispanic or non-Hispanic Asian subgroups. In the United States in 2011-2016, the prevalence of diabetes varied across racial/ethnic groups. The prevalence of diabetes among Hispanic and Asian American subpopulations in the United States is unknown. To estimate racial/ethnic differences in the prevalence of diabetes among US adults 20 years or older by major race/ethnicity groups and selected Hispanic and non-Hispanic Asian subpopulations. National Health and Nutrition Examination Surveys, 2011-2016, cross-sectional samples representing the noninstitutionalized, civilian, US population. The sample included adults 20 years or older who had self-reported diagnosed diabetes during the interview or measurements of hemoglobin A 1c (HbA 1c ), fasting plasma glucose (FPG), and 2-hour plasma glucose (2hPG). Race/ethnicity groups: non-Hispanic white, non-Hispanic black, Hispanic and Hispanic subgroups (Mexican, Puerto Rican, Cuban/Dominican, Central American, and South American), non-Hispanic Asian and non-Hispanic Asian subgroups (East, South, and Southeast Asian), and non-Hispanic other. Diagnosed diabetes was based on self-reported prior diagnosis. Undiagnosed diabetes was defined as HbA 1c 6.5% or greater, FPG 126 mg/dL or greater, or 2hPG 200 mg/dL or greater in participants without diagnosed diabetes. Total diabetes was defined as diagnosed or undiagnosed diabetes. The study sample included 7575 US adults (mean age, 47.5 years; 52% women; 2866 [65%] non-Hispanic white, 1636 [11%] non-Hispanic black, 1952 [15%] Hispanic, 909 [6%] non-Hispanic Asian, and 212 [3%] non-Hispanic other). A total of 2266 individuals had diagnosed diabetes; 377 had undiagnosed diabetes. Weighted age- and sex-adjusted prevalence of total diabetes was 12.1% (95% CI, 11.0%-13.4%) for non-Hispanic white, 20.4% (95% CI, 18.8%-22.1%) for non-Hispanic black, 22.1% (95% CI, 19.6%-24.7%) for Hispanic, and 19.1% (95% CI, 16.0%-22.1%) for non-Hispanic Asian adults (overall P  < .001). Among Hispanic adults, the prevalence of total diabetes was 24.6% (95% CI, 21.6%-27.6%) for Mexican, 21.7% (95% CI, 14.6%-28.8%) for Puerto Rican, 20.5% (95% CI, 13.7%-27.3%) for Cuban/Dominican, 19.3% (95% CI, 12.4%-26.1%) for Central American, and 12.3% (95% CI, 8.5%-16.2%) for South American subgroups (overall P  < .001). Among non-Hispanic Asian adults, the prevalence of total diabetes was 14.0% (95% CI, 9.5%-18.4%) for East Asian, 23.3% (95% CI, 15.6%-30.9%) for South Asian, and 22.4% (95% CI, 15.9%-28.9%) for Southeast Asian subgroups (overall P  = .02). The prevalence of undiagnosed diabetes was 3.9% (95% CI, 3.0%-4.8%) for non-Hispanic white, 5.2% (95% CI, 3.9%-6.4%) for non-Hispanic black, 7.5% (95% CI, 5.9%-9.1%) for Hispanic, and 7.5% (95% CI, 4.9%-10.0%) for non-Hispanic Asian adults (overall P  < .001). In this nationally representative survey of US adults from 2011 to 2016, the prevalence of diabetes and undiagnosed diabetes varied by race/ethnicity and among subgroups identified within the Hispanic and non-Hispanic Asian populations. This national survey study uses National Health and Nutrition Examination Survey (NHANES) 2011-2016 data to estimate differences in the prevalence of diagnosed and undiagnosed diabetes among US adults 20 years or older by major race/ethnicity groups and selected Hispanic and non-Hispanic Asian subpopulations.
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              The Oregon experiment--effects of Medicaid on clinical outcomes.

              Despite the imminent expansion of Medicaid coverage for low-income adults, the effects of expanding coverage are unclear. The 2008 Medicaid expansion in Oregon based on lottery drawings from a waiting list provided an opportunity to evaluate these effects. Approximately 2 years after the lottery, we obtained data from 6387 adults who were randomly selected to be able to apply for Medicaid coverage and 5842 adults who were not selected. Measures included blood-pressure, cholesterol, and glycated hemoglobin levels; screening for depression; medication inventories; and self-reported diagnoses, health status, health care utilization, and out-of-pocket spending for such services. We used the random assignment in the lottery to calculate the effect of Medicaid coverage. We found no significant effect of Medicaid coverage on the prevalence or diagnosis of hypertension or high cholesterol levels or on the use of medication for these conditions. Medicaid coverage significantly increased the probability of a diagnosis of diabetes and the use of diabetes medication, but we observed no significant effect on average glycated hemoglobin levels or on the percentage of participants with levels of 6.5% or higher. Medicaid coverage decreased the probability of a positive screening for depression (-9.15 percentage points; 95% confidence interval, -16.70 to -1.60; P=0.02), increased the use of many preventive services, and nearly eliminated catastrophic out-of-pocket medical expenditures. This randomized, controlled study showed that Medicaid coverage generated no significant improvements in measured physical health outcomes in the first 2 years, but it did increase use of health care services, raise rates of diabetes detection and management, lower rates of depression, and reduce financial strain.
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                Author and article information

                Journal
                JAMA Health Forum
                JAMA Health Forum
                JAMA Health Forum
                American Medical Association
                2689-0186
                10 September 2021
                September 2021
                10 September 2021
                : 2
                : 9
                : e212375
                Affiliations
                [1 ]Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, Massachusetts
                [2 ]Ariadne Labs, Brigham and Women’s Hospital, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
                [3 ]Division of General Internal Medicine & Primary Care, Brigham and Women’s Hospital, Boston, Massachusetts
                [4 ]Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island
                [5 ]Center of Innovation for Long-term Services and Supports, Providence VA Medical Center, Providence, Rhode Island
                Author notes
                Article Information
                Accepted for Publication: July 2, 2021.
                Published: September 10, 2021. doi:10.1001/jamahealthforum.2021.2375
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Cole MB et al. JAMA Health Forum.
                Corresponding Author: Megan B. Cole, PhD, MPH, Boston University School of Public Health, 715 Albany St, Talbot Bldg 240W, Boston, MA 02118 ( mbcole@ 123456bu.edu ).
                Author Contributions: Dr Cole 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: Cole, Trivedi.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Cole.
                Critical revision of the manuscript for important intellectual content: All authors.
                Statistical analysis: Cole.
                Obtained funding: Cole.
                Administrative, technical, or material support: Cole.
                Supervision: Cole.
                Conflict of Interest Disclosures: Dr Trivedi reported grants from National Institutes of Health, US Department of Defense, US Department of Veterans Affairs, and Australian American Fulbright Commission and consulting fees from RAND Corporation outside the submitted work. No other disclosures were reported.
                Funding/Support: Dr Cole acknowledges support from the National Center for Advancing Translational Sciences of National Institutes of Health through grant KL2TR001411. Mr Levengood acknowledges support from the National Institute on Drug Abuse of the National Institutes of Health grant T32DA04189803.
                Role of the Funder/Sponsor: The funding organizations 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.
                Disclaimer: The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the US Department of Veterans Affairs or the US government.
                Article
                aoi210040
                10.1001/jamahealthforum.2021.2375
                8796924
                35977186
                abf51289-b7b2-479c-bcd3-be5aafe693a4
                Copyright 2021 Cole MB et al. JAMA Health Forum.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 12 May 2021
                : 2 July 2021
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