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Rebeiro PF, Thome JC, Gange SJ, Althoff KN, Berry SA, Horberg MA, Moore RD, Silverberg MJ, Sack DE, Sterling TR, Sant’Anna P, Shepherd BE. The impact of Medicaid expansion under the Affordable Care Act on HIV care continuum outcomes across the United States. HEALTH AFFAIRS SCHOLAR 2024; 2:qxae128. [PMID: 39445109 PMCID: PMC11498052 DOI: 10.1093/haschl/qxae128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Revised: 09/09/2024] [Accepted: 10/03/2024] [Indexed: 10/25/2024]
Abstract
HIV care continuum outcome disparities by health insurance status have been noted among people with HIV (PWH). We therefore examined associations between state Medicaid expansion and HIV outcomes in the United States. Adults (≥18 years) with ≥1 visit in NA-ACCORD clinical cohorts from 2012-2017 contributed person-time annually between first and final visit or death; in each calendar year, clinical retention was ≥2 completed visits > 90 days apart, antiretroviral therapy (ART) receipt was receipt of ≥3 antiretroviral agents, and viral suppression was last measured HIV-1 RNA < 200 copies/mL. CD4 at enrollment was obtained within 6 months of enrollment in cohort. Difference-in-difference (DID) models quantified associations between Medicaid expansion changes (by state of residence) and HIV outcomes. Across 50 states, 87 290 PWH contributed 325 113 person-years of follow-up. Medicaid expansion had a substantial positive effect on CD4 at enrollment (DID = 93.5, 95% CI: 52.9, 134 cells/mm3), a small negative effect on proportions clinically retained (DID = -0.19, 95% CI: -0.037, -0.01), and no effects on ART receipt (DID = 0.001, 95% CI: -0.003, 0.005) or viral suppression (DID = -0.14, 95% CI: -0.34, 0.07). Medicaid expansion had a positive effect on CD4 at entry, suggesting more timely HIV testing and care linkage, but generally null effects on downstream HIV care continuum measures.
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Affiliation(s)
- Peter F Rebeiro
- Department of Medicine, Division of Infectious Diseases, Vanderbilt University School of Medicine, Nashville, TN 37203, United States
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN 37203, United States
- Department of Medicine, Division of Epidemiology, Vanderbilt University, School of Medicine, Nashville, TN 37203, United States
| | - Julia C Thome
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN 37203, United States
| | - Stephen J Gange
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States
| | - Keri N Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States
| | - Stephen A Berry
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
| | - Michael A Horberg
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, MD 20852, United States
| | - Richard D Moore
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
| | - Michael J Silverberg
- Kaiser Permanente Northern California, Division of Research, Oakland, CA 94612, United States
| | - Daniel E Sack
- Department of Medicine, Division of Epidemiology, Vanderbilt University, School of Medicine, Nashville, TN 37203, United States
| | - Timothy R Sterling
- Department of Medicine, Division of Infectious Diseases, Vanderbilt University School of Medicine, Nashville, TN 37203, United States
| | - Pedro Sant’Anna
- Department of Economics, Vanderbilt University, Nashville, TN 37203, United States
| | - Bryan E Shepherd
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN 37203, United States
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Millett GA, Honermann B, Jones A, Lankiewicz E, Sherwood J, Blumenthal S, Sayas A. White Counties Stand Apart: The Primacy of Residential Segregation in COVID-19 and HIV Diagnoses. AIDS Patient Care STDS 2020; 34:417-424. [PMID: 32833494 PMCID: PMC7585613 DOI: 10.1089/apc.2020.0155] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Emerging epidemiological data suggest that white Americans have a lower risk of acquiring COVID-19. Although many studies have pointed to the role of systemic racism in COVID-19 racial/ethnic disparities, few studies have examined the contribution of racial segregation. Residential segregation is associated with differing health outcomes by race/ethnicity for various diseases, including HIV. This commentary documents differing HIV and COVID-19 outcomes and service delivery by race/ethnicity and the crucial role of racial segregation. Using publicly available Census data, we divide US counties into quintiles by percentage of non-Hispanic white residents and examine HIV diagnoses and COVID-19 per 100,000 population. HIV diagnoses decrease as the proportion of white residents increase across US counties. COVID-19 diagnoses follow a similar pattern: Counties with the highest proportion of white residents have the fewest cases of COVID-19 irrespective of geographic region or state political party inclination (i.e., red or blue states). Moreover, comparatively fewer COVID-19 diagnoses have occurred in primarily white counties throughout the duration of the US COVID-19 pandemic. Systemic drivers place racial minorities at greater risk for COVID-19 and HIV. Individual-level characteristics (e.g., underlying health conditions for COVID-19 or risk behavior for HIV) do not fully explain excess disease burden in racial minority communities. Corresponding interventions must use structural- and policy-level solutions to address racial and ethnic health disparities.
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Affiliation(s)
| | - Brian Honermann
- amfAR, Foundation for AIDS Research, Washington, District of Columbia, USA
| | - Austin Jones
- amfAR, Foundation for AIDS Research, Washington, District of Columbia, USA
| | - Elise Lankiewicz
- amfAR, Foundation for AIDS Research, Washington, District of Columbia, USA
| | - Jennifer Sherwood
- amfAR, Foundation for AIDS Research, Washington, District of Columbia, USA
| | - Susan Blumenthal
- amfAR, Foundation for AIDS Research, Washington, District of Columbia, USA
| | - Asal Sayas
- amfAR, Foundation for AIDS Research, Washington, District of Columbia, USA
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Early Impact of the Patient Protection and Affordable Care Act on People Living With HIV: A Systematic Review. J Assoc Nurses AIDS Care 2020; 30:259-269. [PMID: 31021962 DOI: 10.1097/jnc.0000000000000079] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The US Patient Protection and Affordable Care Act (ACA) was the most influential policy-related change to the care of people living with HIV in decades. We systematically searched and analyzed peer-reviewed, empirical research reporting on ACA-related aspects of HIV care post-ACA full implementation, finding 12 articles that met search criteria. The results revealed largely positive evidence regarding the ACA impact on people living with HIV, particularly on their health care coverage in Medicaid expansion states. More recent reporting included improvement in virologic suppression. However, early evidence has been somewhat fragmented, and important questions concerning the impact of the ACA on HIV care quality, patients, and providers remain unanswered. As the political struggle over the ACA continues, future analyses should use national- and state-level data to examine ACA impact on HIV care quality and patient-centered health outcomes to provide in-depth, holistic understanding of HIV care in the wake of this policy change.
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Goldstein D, Hardy WD, Monroe A, Hou Q, Hart R, Terzian A. Despite early Medicaid expansion, decreased durable virologic suppression among publicly insured people with HIV in Washington, DC: a retrospective analysis. BMC Public Health 2020; 20:509. [PMID: 32299421 PMCID: PMC7164348 DOI: 10.1186/s12889-020-08631-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 04/01/2020] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Despite widely available access to HIV care in Washington, DC, inequities in HIV outcomes persist. We hypothesized that laboratory monitoring and virologic outcomes would not differ significantly based on insurance type. METHODS We compared HIV monitoring with outcomes among people with HIV (PWH) with private (commercial payer) versus public (Medicare, Medicaid) insurance receiving care at community and hospital clinics. The DC Cohort follows over 8000 PWH from 14 clinics. We included those ≥18 years old enrolled between 2011 and 2015 with stable insurance. Outcomes included frequency of CD4 count and HIV RNA monitoring (> 2 lab measures/year, > 30 days apart) and durable viral suppression (VS; HIV RNA < 50 copies/mL at last visit and receiving antiretroviral therapy (ART) for ≥12 months). Multivariable logistic regression models examined impact of demographic and clinical factors. RESULTS Among 3908 PWH, 67.9% were publicly-insured and 58.9% attended community clinics. Compared with privately insured participants, a higher proportion of publicly insured participants had the following characteristics: female sex, Black race, heterosexual, unemployed, and attending community clinics. Despite less lab monitoring, privately-insured PWH had greater durable VS than publicly-insured PWH (ART-naïve: private 70.0% vs public 53.1%, p = 0.03; ART-experienced: private 80.2% vs public 69.4%, p < 0.0001). Privately-insured PWH had greater durable VS than publicly-insured PWH at hospital clinics (AOR = 1.59, 95% CI: 1.20, 2.12; p = 0.001). CONCLUSIONS Paradoxical differences between HIV monitoring and durable VS exist among publicly and privately-insured PWH in Washington, DC. Programs serving PWH must improve efforts to address barriers creating inequity in HIV outcomes.
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Affiliation(s)
- Deborah Goldstein
- Whitman-Walker Institute, 1525 14th Street, NW, Washington, DC, 20005, USA.
- Division of Infectious Diseases, Department of Medicine, Georgetown University Medical Center, Washington, DC, USA.
| | - W David Hardy
- Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anne Monroe
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | | | | | - Arpi Terzian
- Patient-centered Outcomes Research Institute, Washington, DC, USA
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Gaffney A, McCormick D, Bor DH, Goldman A, Woolhandler S, Himmelstein DU. The Effects on Hospital Utilization of the 1966 and 2014 Health Insurance Coverage Expansions in the United States. Ann Intern Med 2019; 171:172-180. [PMID: 31330539 DOI: 10.7326/m18-2806] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Persons with comprehensive health insurance use more hospital care than those who are uninsured or have high-deductible plans. Consequently, analysts generally assume that expanding coverage will increase society-wide use of inpatient services. However, a limited supply of beds might constrain this growth. OBJECTIVE To determine how the implementations of Medicare and Medicaid (1966) and the Patient Protection and Affordable Care Act (ACA) (2014) affected hospital use. DESIGN Repeated cross-sectional study. SETTING Nationally representative surveys. PARTICIPANTS Respondents to the National Health Interview Survey (1962 to 1970) and Medical Expenditure Panel Survey (2008 to 2015). MEASUREMENTS Mean hospital discharges and days were measured, both society-wide and among subgroups defined by income, age, and health status. Changes between preexpansion and postexpansion periods were analyzed using multivariable negative binomial regression. RESULTS Overall hospital discharges averaged 12.8 per 100 persons in the 3 years before implementation of Medicare and Medicaid and 12.7 per 100 persons in the 4 years after (adjusted difference, 0.2 discharges [95% CI, -0.1 to 0.4 discharges] per 100 persons; P = 0.26). Hospital days did not change in the first 2 years after implementation but increased later. Effects differed by subpopulation: Adjusted discharges increased by 2.4 (CI, 1.7 to 3.1) per 100 persons among elderly compared with nonelderly persons (P < 0.001) and also increased among those with low incomes compared with high-income populations. For younger and higher-income persons, use decreased. Similarly, after the ACA's implementation, overall hospital use did not change: Society-wide rates of discharge were 9.4 per 100 persons before the ACA and 9.0 per 100 persons after the ACA (adjusted difference, -0.6 discharges [CI, -1.3 to 0.2 discharges] per 100 persons; P = 0.133), and hospital days were also stable. Trends differed for some subgroups, and rates decreased significantly in unadjusted (but not adjusted) analyses among persons reporting good or better health status and increased nonsignificantly among those in worse health. LIMITATION Data sources relied on participant recall, surveys excluded institutionalized persons, and follow-up after the ACA was limited. CONCLUSION Past coverage expansions were associated with little or no change in society-wide hospital use; increases in groups who gained coverage were offset by reductions among others, suggesting that bed supply limited increases in use. Reducing coverage may merely shift care toward wealthier and healthier persons. Conversely, universal coverage is unlikely to cause a surge in hospital use if growth in hospital capacity is carefully constrained. PRIMARY FUNDING SOURCE None.
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Affiliation(s)
- Adam Gaffney
- Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts (A.G., D.M., D.H.B.)
| | - Danny McCormick
- Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts (A.G., D.M., D.H.B.)
| | - David H Bor
- Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts (A.G., D.M., D.H.B.)
| | - Anna Goldman
- Harvard T.H. Chan School of Public Health, Boston, and Cambridge Health Alliance, Cambridge, Massachusetts (A.G.)
| | - Steffie Woolhandler
- Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts, and City University of New York at Hunter College, New York, New York (S.W., D.U.H.)
| | - David U Himmelstein
- Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts, and City University of New York at Hunter College, New York, New York (S.W., D.U.H.)
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Pickens G, Karaca Z, Gibson TB, Cutler E, Dworsky M, Moore B, Wong HS. Changes in hospital service demand, cost, and patient illness severity following health reform. Health Serv Res 2019; 54:739-751. [PMID: 31070263 DOI: 10.1111/1475-6773.13165] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
OBJECTIVE To estimate the effects of the health insurance exchange and Medicaid coverage expansions on hospital inpatient and emergency department (ED) utilization rates, cost, and patient illness severity, and also to test the association between changes in outcomes and the size of the uninsured population eligible for coverage in states. DATA SOURCES Healthcare Cost and Utilization Project State Inpatient and Emergency Department Databases, 2011-2015, Nielsen Demographic Data, and the American Community Survey. STUDY DESIGN Retrospective study using fixed-effects regression to estimate the effects in expansion and nonexpansion states by age/sex demographic groups. FINDINGS In Medicaid expansion states, rates of uninsured inpatient discharges and ED visits fell sharply in many demographic groups. For example, uninsured inpatient discharge rates across groups, except young females, decreased by ≥39 percent per capita on average in expansion states. In nonexpansion states, uninsured utilization rates remained unchanged or increased slightly (0-9.2 percent). Changes in all-payer and private insurance rates were more muted. Changes in inpatient costs per discharge were negative, and all-payer inpatient costs per discharge declined <6 percent in most age/sex groups. The size of the uninsured population eligible for coverage was strongly associated with changes in outcomes. For example, among males aged 35-54 years in expansion states, there was a 0.793 percent decrease in the uninsured discharge rate per unit increase in the coverage expansion ratio (the ratio of the size of the population eligible for coverage to the size of the previously covered population within an age/sex/payer/geographic group). CONCLUSIONS Significant shifts in cost per discharge and patient severity were consistent with selective take-up of insurance. The "treatment intensity" of expansions may be useful for anticipating future effects.
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Affiliation(s)
| | - Zeynal Karaca
- U.S. Department of Health and Human Services, Agency for Healthcare Research and Quality, Rockville, Maryland
| | | | - Eli Cutler
- Qventis (Formerly of IBM Watson Health), Mountain View, California
| | | | | | - Herbert S Wong
- U.S. Department of Health and Human Services, Agency for Healthcare Research and Quality, Rockville, Maryland
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Hoxha I, Braha M, Syrogiannouli L, Goodman DC, Jüni P. Caesarean section in uninsured women in the USA: systematic review and meta-analysis. BMJ Open 2019; 9:e025356. [PMID: 30833323 PMCID: PMC6443081 DOI: 10.1136/bmjopen-2018-025356] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 11/14/2018] [Accepted: 12/19/2018] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE The aim of this study is to assess the odds of caesarean section (CS) for uninsured women in the USA and understand the underlying mechanisms as well as consequences of lower use. STUDY DESIGN Systematic review and meta-analysis. DATA SOURCES PubMed, Embase, the Cochrane Library and CINAHL from the first year of records to April 2018. ELIGIBILITY CRITERIA We included studies that reported data to allow the calculation of ORs of CS of uninsured as compared with insured women. OUTCOMES The prespecified primary outcome was the adjusted OR of deliveries by CS of uninsured women as compared with privately or publicly insured women. The prespecified secondary outcome was the crude OR of deliveries by CS of uninsured women as compared with insured women. RESULTS 12 articles describing 16 separate studies involving more than 8.8 million women were included in this study. We found: 0.70 times lower odds of CS in uninsured as compared with privately insured women (95% CI 0.63 to 0.78), with no relevant heterogeneity between studies (τ2=0.01); and 0.92 times lower odds for CS in uninsured as compared with publicly insured women (95% CI 0.80 to 1.07), with no relevant heterogeneity between studies (τ2=0.02). We found 0.70 times lower odds in uninsured as compared with privately and publicly insured women (95% CI 0.69 to 0.72). CONCLUSIONS CSs are less likely to be performed in uninsured women as compared with insured women. While the higher rates for CS among privately insured women can be explained with financial incentives associated with private insurance, the lower odds among uninsured women draw attention at barriers to access for delivery care. In many regions, the rates for uninsured women are above, close or below the benchmarks for appropriate CS rates and could imply both, underuse and overuse.
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Affiliation(s)
- Ilir Hoxha
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Department of Community & Family Medicine, Geisel School of Medicine at Dartmouth Hanover, New Hampshire, USA
- Heimerer College, Prishtina, Kosovo
| | - Medina Braha
- International Business College Mitrovica, Mitrovica, Kosovo
| | | | - David C Goodman
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- The Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, USA
| | - Peter Jüni
- Applied Health Research Centre (AHRC), Li Ka Shing Knowledge Institute of St. Michael’s Hospital, Department of Medicine, and Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
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Geyer N, Margaritis V, Rea N. Characteristics of HIV screening among New Jersey adults aged 18 years or older post-Hurricane Sandy, 2014. Public Health 2018; 155:59-61. [DOI: 10.1016/j.puhe.2017.11.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Revised: 10/26/2017] [Accepted: 11/26/2017] [Indexed: 11/27/2022]
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