Unwinding of Continuous Medicaid Coverage Among Patients at Community Health Centers.
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ABSTRACT:
SUBMITTER: Bensken WP
PROVIDER: S-EPMC10770764 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature
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Unwinding of Continuous Medicaid Coverage Among Patients at Community Health Centers.
Bensken Wyatt P WP Koroukian Siran M SM McGrath Brenda M BM Alberti Philip M PM Cottrell Erika K EK Sills Marion R MR
JAMA health forum 20240105 1
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Project description:ImportanceDuring the COVID-19 pandemic public health emergency, states provided continuous Medicaid coverage to enrollees. In April 2023, states began to unwind this continuous coverage, prompting concern about the impact of this on pediatric patients.ObjectiveTo examine loss of coverage during the unwinding of continuous Medicaid coverage among pediatric patients seen at community-based health care organizations.Design, setting, and participantsThis cohort study with statistical analysis in November 2024 included pediatric patients from a multistate network of community-based health care organizations. Participants were aged up to 17 years at both their last Medicaid-insured visit during the continuous coverage period and at their first visit during the unwinding period (April 1, 2023, to March 31, 2024).ExposuresAge, sex, race and ethnicity, language, and medical complexity.Main outcome and measuresThe main outcome was Medicaid disenrollment to uninsured status during the unwinding period. Logistic regression was used to estimate the odds of ever being uninsured during unwinding, and Cox proportional hazards regression models were used to examine the time to uninsured status from the start of unwinding in each patient's state of residence through the end of March 2024. Associations between age, sex, race and ethnicity, language, and medical complexity and the outcome were assessed.ResultsAmong 450 146 pediatric patients, mean (SD) patient age was 8.11 (5.07) years and 50.1% were male. Overall, 8.7% were disenrolled from Medicaid to uninsured status. Patients aged 12 to 17 years had the highest estimated disenrollment among age groups (10.5%), but after adjustment, all other age groups had lower odds of disenrollment compared with those younger than 1 year. Females had higher odds of disenrollment (adjusted odds ratio [AOR], 1.15 [95% CI, 1.13-1.18]; adjusted hazard ratio [AHR], 1.14 [95% CI, 1.12-1.17]) than males. American Indian or Alaska Native patients had higher odds of disenrollment (AOR, 1.95 [95% CI, 1.81-2.09]; AHR, 1.81 [95% CI, 1.05-3.13]) than White patients, with estimated disenrollment of 17.1% vs 9.4%. Compared with patients with low medical complexity, those with either chronic but noncomplex (AOR, 1.83 [95% CI, 1.79-1.88]; AHR, 1.80 [95% CI, 1.44-2.27]) or complex chronic (AOR, 1.95 95% CI, 1.89-2.00]; AHR, 1.92 [95% CI, 1.67-2.21]) medical complexity had higher odds of disenrollment.Conclusions and relevanceIn this cohort study of previously Medicaid-insured pediatric patients seen at community-based health care organizations, a meaningful proportion of patients were disenrolled to uninsured status during the unwinding of continuous Medicaid coverage, with associated differences by demographic and clinical characteristics. This could impact access to care and health outcomes for the patients.
| S-EPMC11803474 | biostudies-literature
Project description:ImportancePolicy changes and the COVID-19 pandemic affected health coverage rates, and the "unwinding" of Medicaid's continuous coverage provision in 2023 and 2024 may cause widespread coverage loss. Recent coverage patterns in national survey and administrative data can inform these issues.ObjectiveTo assess national and state changes in survey-based Medicaid, private insurance, and uninsured rates between 2019 and 2022, as well as how these changes compare with administrative Medicaid enrollment totals.Design, setting, and participantsThis cross-sectional study analyzes nationally representative survey data for all US residents in the American Community Survey (ACS) from 2019 to 2022 compared with administrative data on Medicaid and the Children's Health Insurance Program from the Centers for Medicare & Medicaid Services (CMS). Data analysis was conducted between June 2023 and January 2024.ExposuresThe COVID-19 pandemic, the Medicaid continuous coverage provision, and policy efforts to increase Marketplace coverage.Main outcomes and measuresMedicaid coverage (self-reported [ACS] and administratively recorded [CMS]), survey-reported uninsured, Medicare, and private insurance status.ResultsA nationally representative sample consisted of 12 506 584 US residents of all ages (survey-weighted 59.7% aged 19-64 years and 50.6% female). CMS statistics showed an increase in Medicaid coverage of 5.2 percentage points as a share of the population from 2019 to 2022. However, changes in the uninsured rate and survey-reported Medicaid were smaller: -1.2 (95% CI, -1.3 to -1.2) percentage points and 1.3 (95% CI, 1.2-1.4) percentage points, respectively. There was a 3.9 percentage point increase in the ACS's "undercount" of Medicaid enrollment, compared with CMS data, from 2019 to 2022. This undercount was larger among children than adults but smaller in states that recently expanded Medicaid. Rates of additional forms of coverage (such as private insurance) among those in Medicaid also grew during this time.Conclusion and relevanceIn this cross-sectional study, the uninsured rate declined considerably from 2019 to 2022 but was just one-fourth as large as the growth in administrative Medicaid enrollment under the pandemic continuous coverage provision. Survey-based Medicaid growth was far smaller than administrative growth. This suggests that many people who remained enrolled in Medicaid during the pandemic did not realize that their coverage had continued. These findings have implications for projecting uninsured changes during unwinding, as well as the effect of continuous coverage policies on continuity of care.
| S-EPMC10998158 | biostudies-literature
Project description:The Affordable Care Act (ACA) Medicaid expansion created new financial opportunities for community health centers (CHCs) providing primary care in medically-underserved communities. However, beyond evidence of initial policy effects, little is understood in the scholarly literature about whether the ACA Medicaid expansion affected longer-lasting changes in CHC patient insurance mix. This study's objective was to examine whether the ACA Medicaid expansion was associated with lasting increases in the annual percentage of adult CHC patients covered by Medicaid and decreases in the annual percentage of uninsured adult CHC patients at expansion-state CHCs, compared to non-expansion-state CHCs. This observational study examined 5353 CHC-year observations from 2012 to 2018 using Uniform Data System data and other national data sources. Using a 2-way fixed-effects multivariable regression approach and marginal analysis, intermediate-term policy effects of the Medicaid expansion on annual CHC patient coverage outcomes were estimated. By 5-years post-expansion, the Medicaid expansion was associated with an overall average increase of 11.7 percentage points in the percentage of adult patients with Medicaid coverage at expansion-state CHCs, compared to non-expansion-state CHCs. Among expansion-state CHCs, 39.8% of adult patients were predicted to have Medicaid coverage 5-years post-expansion, compared to 19.0% of non-expansion-state adult CHC patients. A state's decision to expand Medicaid was similarly associated with decreases in the annual percentage of uninsured adult CHC patients. Primary care operations at CHCs critically depend on patient Medicaid revenue. These findings suggest the ACA Medicaid expansion may provide longer-term financial security for expansion-state CHCs, which maintain increases in Medicaid-covered adult patients even 5-years post-expansion. However, these financial securities may be jeopardized should the ACA be ruled unconstitutional in 2021, a year after CHCs experienced new uncertainties caused by COVID-19.
| S-EPMC8182175 | biostudies-literature
Project description:ObjectiveTo determine the impacts of the Medicaid expansion on revenues, costs, assets, and liabilities of federally funded community health centers.Data sourcesWe combined data from the Uniform Data System, Internal Revenue Service nonprofit tax returns, and county-level characteristics from the Census Bureau. Our final dataset included 5841 center-year observations.Study designWe used difference-in-differences model to estimate the fiscal impacts of the Medicaid expansion on community health centers. We employed event study models, state-specific trend models, and placebo law tests as robustness checks.Data collection methodsNot applicable.Principal findingsOn the revenue side, we found a $2.08 million relative increase (p = 0.002) in Medicaid revenues, offset by a $0.44 million decrease (p = 0.015) in total grants among community health centers in expansion states compared with centers in non-expansion states. On the expenditure side, we found a large but not statistically significant $0.98 million relative increase (p = 0.201) in total expenditures among centers in expansion states. Uncompensated care for health centers in expansion states decreased by $1.19 million (p < 0.001) relative to their counterparts in non-expansion states.ConclusionsCommunity health centers in expansion states benefited from the increased, stable revenue stream from Medicaid expansions. While Medicaid revenue increased as a result of the policy, we find no major evidence of substitution away from other revenue lines, with one notable exception (i.e., substitution away from state and local government grants). From a policy perspective, these results are encouraging as the Biden Administration starts to implement the safety-net enhancements from the American Rescue Plan Act of 2021 and as more non-expansion states are considering opting into Medicaid expansions. It is anticipated that these added revenue streams will help to sustain health centers in the delivery of health care services to the underserved population.
| S-EPMC9108051 | biostudies-literature
Project description:Medicaid expansion had great potential to affect community health centers (CHCs), particularly in rural areas, because their patients are predominantly low income and disproportionately uninsured. Using data for 2011-15 on all CHCs, we found that after two years Medicaid expansion was associated with an 11.44-percentage-point decline in the share of CHC patients who were uninsured and a 13.15-percentage-point increase in the share with Medicaid. Changes in quality and volume were consistently observed in rural CHCs in expansion states, which had relative improvements in asthma treatment, body mass index screening and follow-up, and hypertension control, along with substantial increases in volumes for eighteen of twenty-one types of visits-particularly those for mammograms, abnormal breast findings, alcohol-related disorder, and other substance abuse disorder. Similar relative gains were not observed in urban CHCs in expansion states. Repealing or phasing out Medicaid expansion could reverse observed gains in quality and service use and could be particularly detrimental to low-income rural populations.
| S-EPMC6286055 | biostudies-literature
Project description:We examined children's Medicaid participation during 2019-21 and found that as of March 2021, states newly adopting continuous Medicaid coverage for children during the COVID-19 pandemic experienced a 4.62 percent relative increase in children's Medicaid participation compared to states with previous continuous eligibility policies.
| S-EPMC11299770 | biostudies-literature
Project description:Using electronic health record data, we examined longitudinal changes in community health center (CHC) visit rates from 2013 through 2014 in Medicaid expansion versus nonexpansion states. Visits from 219 CHCs in 5 expansion states and 4 nonexpansion states were included. Rates were computed using generalized estimating equation Poisson models. Rates increased in expansion state CHCs for new patient, preventive, and limited-service visits (14%, 41%, and 23%, respectively, P < .01 for all), whereas these rates remained unchanged in nonexpansion states. One year after ACA Medicaid expansions, CHCs in expansion states saw an influx of new patients and provided increased preventive services.
| S-EPMC4942402 | biostudies-literature
Project description:Preserving insurance coverage in the wake of pandemic-related job loss was a priority in early 2020. To this end, the Families First Coronavirus Response Act implemented a continuous coverage policy in Medicaid to shore up access to health insurance. Prior to the pandemic, Medicaid enrollees experienced frequent coverage disruptions, known as "churning." The effect of the continuous coverage policy on churning during the COVID-19 public health emergency (PHE) is unknown. We performed a difference-in-differences analysis of nonelderly Medicaid enrollees using longitudinal national survey data to compare a 2019-2020 cohort exposed to the policy with a control cohort in 2018-2019. We found that the policy led to reduced transitions to uninsurance among adults, although not among children. The policy prevented over 300 000 transitions to uninsurance each month. However, disenrollment from Medicaid persisted at a low rate, despite the continuous coverage policy. As the PHE unwinds, policymakers should consider long-term continuous coverage policies to minimize churning in Medicaid.
| S-EPMC10786332 | biostudies-literature
Project description:Health insurance coverage facilitates access to preventive screenings and other essential health care services, and is linked to improved health outcomes; therefore, it is critical to understand how well coverage information is documented in the electronic health record (EHR) and which characteristics are associated with accurate documentation. Our objective was to evaluate the validity of EHR data for monitoring longitudinal Medicaid coverage and assess variation by patient demographics, visit types, and clinic characteristics. We conducted a retrospective, observational study comparing Medicaid status agreement between Oregon community health center EHR data linked at the patient-level to Medicaid enrollment data (gold standard). We included adult patients with a Medicaid identification number and ≥1 clinic visit between 1/1/2013-12/31/2014 [>1 million visits (n = 135,514 patients)]. We estimated statistical correspondence between EHR and Medicaid data at each visit (visit-level) and for different insurance cohorts over time (patient-level). Data were collected in 2016 and analyzed 2017-2018. We observed excellent agreement between EHR and Medicaid data for health insurance information: kappa (>0.80), sensitivity (>0.80), and specificity (>0.85). Several characteristics were associated with agreement; at the visit-level, agreement was lower for patients who preferred a non-English language and for visits missing income information. At the patient-level, agreement was lower for black patients and higher for older patients seen in primary care community health centers. Community health center EHR data are a valid source of Medicaid coverage information. Agreement varied with several characteristics, something researchers and clinic staff should consider when using health insurance information from EHR data.
| S-EPMC6082971 | biostudies-literature
Project description:BackgroundCommunity health center (CHC) patients have high rates of smoking. Insurance coverage for smoking cessation assistance, such as that mandated by the Affordable Care Act, may aid in smoking cessation in this vulnerable population.ObjectiveWe aimed to determine if uninsured CHC patients who gain Medicaid coverage experience greater primary care utilization, receive more cessation medication orders, and achieve higher quit rates, compared to continuously uninsured smokers.DesignLongitudinal observational cohort study using electronic health record data from a network of Oregon CHCs linked to Oregon Medicaid enrollment data.PatientsCohort of patients who smoke and who gained Medicaid coverage in 2008-2011 after ≥ 6 months of being uninsured and with ≥ 1 smoking assessment in the 24-month follow-up period from the baseline smoking status date. This group was propensity score matched to a cohort of continuously uninsured CHC patients who smoke (n = 4140 matched pairs; 8280 patients).InterventionGaining Medicaid after being uninsured for ≥ 6 months.Main measures'Quit' smoking status (baseline smoking status was 'current every day' or 'some day' and status change to 'former smoker' at a subsequent visit), smoking cessation medication order, and ≥ 6 documented visits (yes/no variables) at ≥ 1 smoking status assessment within the 24-month follow-up period.Key resultsThe newly insured had 40 % increased odds of quitting smoking (aOR = 1.40, 95 % CI:1.24, 1.58), nearly triple the odds of having a medication ordered (aOR = 2.94, 95 % CI:2.61, 3.32), and over twice the odds of having ≥ 6 follow-up visits (aOR = 2.12, 95 % CI:1.94, 2.32) compared to their uninsured counterparts.ConclusionsNewly insured patients had increased odds of quit smoking status over 24 months of follow-up than those who remained uninsured. Providing insurance coverage to vulnerable populations may have a significant impact on smoking cessation.
| S-EPMC5023615 | biostudies-literature