Project description:ImportanceCOVID-19 relief legislation created a temporary moratorium on Medicaid disenrollment, but when the public health emergency ends, states will begin to "unwind" Medicaid enrollment. Prepandemic data shed light on factors that can affect Medicaid coverage stability.ObjectiveTo assess factors associated with the duration and continuity of Medicaid enrollment.Design, setting, and participantsIn this cross-sectional analyses of a Medicaid data set for 2016 that was released by the Agency for Healthcare Research and Quality in June of 2022, we analyze a nationally representative data set of 5.7 million persons, weighted to represent 70 million Medicaid beneficiaries in 2016. We focus on 22 million nondisabled, nonelderly adults for this analysis. The data were analyzed between July and September of 2022.Main outcomes and measuresThe main outcomes were the average months of Medicaid enrollment in 2016 and the probability of churning, defined as a break in coverage between 2 periods of enrollment during the calendar year. We compared these outcomes by eligibility category, state, demographic characteristics, and key Medicaid policies, including whether the state expanded Medicaid and whether it used ex parte reviews (automated reviews of other administrative data to reduce renewal paperwork burdens).ResultsIn this cross-sectional analysis, we analyze a nationally representative Medicaid data set of 5.7 million persons, weighted to represent 70 million Medicaid beneficiaries in 2016, released by the Agency for Healthcare Research and Quality in June of 2022. The analysis focused on nonelderly, nondisabled adults (aged 18-64 years) with a weighted population size of 22.7 million, of which 18.4% were Black, 19.2% were Latino, 39.5% were White, 7.3% were other/Asian/Native American, and 15.5% had unknown race. Multivariable regression analysis indicated that those living in states that expanded Medicaid but did not use ex parte reviews had longer average duration (0.31 months longer; 95% CI, 0.03-0.59) and lower risk of churning(odds ratio [OR], .40; 95% CI, 0.39-0.40), whereas those living in nonexpansion states that used ex parte reviews had lower odds of churning (OR, .68; 95% CI, 0.66-0.70) but also had shorter average duration (3.1 months shorter; 95% CI, -3.4 to -2.8). Those living in expansion states that used ex parte reviews also had reduced churning (OR, .83; 95% CI, 0.82-0.85). The average duration varied widely by state, even after adjustments for demographic and state policy factors.Conclusions and relevanceIf state Medicaid programs revert to prepandemic policies after the temporary moratorium ends, Medicaid coverage, particularly for nondisabled, nonelderly adults, is likely to become less stable again. Medicaid expansions are associated with improved continuity, but ex parte review may have a more complex role.
Project description:IntroductionTrauma patients are twice as likely to be uninsured as the general population, which can lead to limited access to postinjury resources and higher mortality. The Hospital Presumptive Eligibility (HPE) program offers emergency Medicaid for eligible patients at presentation. The HPE program underwent several changes during the COVID-19 pandemic; we quantify the program's success during this time and seek to understand features associated with HPE approval.MethodsA mixed methods study at a Level I trauma center using explanatory sequential design, including: 1) a retrospective cohort analysis (2015-2021) comparing HPE approval before and after COVID-19 policy changes; and 2) semistructured interviews with key stakeholders.Results589 patients listed as self-pay or Medicaid presented after March 16, 2020, when COVID-19 policies were first implemented. Of these, 409 (69%) patients were already enrolled in Medicaid at hospitalization. Among those uninsured at arrival, 160 (89%) were screened and 98 (61%) were approved for HPE. This marks a significant improvement in the prepandemic HPE approval rate (48%). In adjusted logistic regression analyses, the COVID-19 period was associated with an increased likelihood of HPE approval (versus prepandemic: aOR, 1.64; P = 0.005). Qualitative interviews suggest that mechanisms include state-based expansion in HPE eligibility and improvements in remote approval such as telephone/video conferencing.ConclusionsThe HPE program experienced an overall increased approval rate and adapted to policy changes during the pandemic, enabling more patients' access to health insurance. Ensuring that these beneficial changes remain a part of our health policy is an important aspect of improving access to health insurance for our patients.
Project description:ImportanceAfter the federal public health emergency was declared in March 2020, states could qualify for increased federal Medicaid funding if they agreed to maintenance of eligibility (MOE) provisions, including a continuous coverage provision. The implications of MOE provisions for total Medicaid enrollment are unknown.ObjectiveTo examine observed increases in Medicaid enrollment and identify the underlying roots of that growth during the first 7 months of the COVID-19 public health emergency in Wisconsin.Design setting and participantsThis population-based cohort study compared changes in Wisconsin Medicaid enrollment from March through September 2020 with predicted changes based on previous enrollment patterns (January 2015-September 2019) and early pandemic employment shocks. The participants included enrollees in full-benefit Medicaid programs for nonelderly, nondisabled beneficiaries in Wisconsin from March through September 2020. Individuals were followed up monthly as they enrolled in, continued in, and disenrolled from Medicaid. Participants were considered to be newly enrolled if they enrolled in the program after being not enrolled for at least 1 month, and they were considered disenrolled if they left and were not reenrolled within the next month.ExposuresContinuous coverage provision beginning in March 2020; economic disruption from pandemic between first and second quarters of 2020.Main outcomes and measuresActual vs predicted Medicaid enrollment, new enrollment, disenrollment, and reenrollment. Three models were created (Medicaid enrollment with no pandemic, Medicaid enrollment with pandemic economic circumstances, and longer Medicaid enrollment with a pandemic-induced recession), and a 95% prediction interval was used to express uncertainty in enrollment predictions.ResultsThe study estimated ongoing Medicaid enrollment in March 2020 for 792 777 enrollees (mean [SD] age, 20.6 [16.5] years; 431 054 [54.4%] women; 213 904 [27.0%] experiencing an employment shock) and compared that estimate with actual enrollment totals. Compared with a model of enrollment based on past data and incorporating the role of recent employment shocks, most ongoing excess enrollment was associated with MOE provisions rather than enrollment of newly eligible beneficiaries owing to employment shocks. After 7 months, overall enrollment had increased to 894 619, 11.1% higher than predicted (predicted enrollment 805 130; 95% prediction interval 767 991-843 086). Decomposing higher-than-predicted retention, most enrollment was among beneficiaries who, before the pandemic, likely would have disenrolled within 6 months, although a substantial fraction (30.4%) was from reduced short-term disenrollment.Conclusions and relevanceIn this cohort study, observed increases in Medicaid enrollment were largely associated with MOE rather than new enrollment after employment shocks. Expiration of MOE may leave many beneficiaries without insurance coverage.
Project description:Research objectiveTo explore whether expanded Medicaid helps mitigate the relationship between unemployment due to COVID and being uninsured. Unanticipated unemployment spells are generally associated with disruptions in health insurance coverage, which could also be the case for job losses during the COVID-19 pandemic. Expanded access to Medicaid may insulate some households from long uninsurance gaps due to job loss.Data sourcePhase 1 of the Census Bureau's Experimental Household Pulse Survey covering April 23, 2020-July 21, 2020.Study designWe compare differences in health insurance coverage source and status linked to recent lob losses attributable to the COVID-19 pandemic in states that expanded Medicaid against states that did not expand Medicaid.Data collection/extraction methodsOur analytical dataset was limited to 733,181 non-elderly adults aged 20-64.Principal findingsTwenty-six percent of our study sample experienced an income loss between March 13, 2020, and the time leading up to the survey-16% experienced job losses (e.g., layoff, furlough) due to the COVID-19 crisis, and 11% had other reasons they were not working. COVID-linked job losses were associated with a 20 (p < 0.01) percentage-point (PPT) lower likelihood of having employer-sponsored health insurance (ESI). Relative to persons in states that did not expand Medicaid, persons in Medicaid expansion states experiencing COVID-linked job losses were 9 PPT (p < 0.01) more likely to report having Medicaid and 7 PPT (p < 0.01) less likely to be uninsured. The largest increases in Medicaid enrollment were among people who, based on their 2019 incomes, would not have qualified for Medicaid previously.ConclusionsOur findings suggest that expanded Medicaid eligibility may allow households to stabilize health care needs and they should become detached from private health coverage due to job loss during the pandemic. Households negatively affected by the pandemic are using Medicaid to insure themselves against the potential health risks they would incur while being unemployed.
Project description:BackgroundThe intersecting crises of the COVID-19 pandemic, job losses, and concomitant loss of employer-sponsored health insurance may have disproportionately affected health care access within minorized and lower-socioeconomic status communities.ObjectiveTo describe changes in access to care during the COVID-19 pandemic, stratified by race/ethnicity, household income, and state Medicaid expansion status.Research designWe used interrupted time series and difference-in-differences regression models, controlling for respondent characteristics and preexisting trends.SubjectsData were extracted for all adults aged 18-64 surveyed in the 2015-2020 Behavioral Risk Factor Surveillance System (N=1,731,699) from all 50 states and the District of Columbia.MeasuresOur outcomes included indicators for whether respondents had any health insurance coverage or avoided seeking care because of cost within the prior year. The primary exposure was the onset of the COVID-19 pandemic in the United States in March 2020.ResultsThe pandemic was associated with a 1.2 percentage point (pp) decline in uninsurance for Medicaid expansion states (95% CI, -1.8, -0.6); these reductions were concentrated among respondents who were Black, multiracial, or low income. The rates of uninsurance were generally stable in nonexpansion states. The rates of avoided care because of cost fell by 3.5 pp in Medicaid expansion states (95% CI, -3.9, -3.1), and by 3.6 pp (95% CI, 4.3-2.9) in nonexpansion states. These declines were concentrated among respondents who were Hispanic, Other Race, or low income.ConclusionsOur findings reinforce the value of Medicaid expansion as one tool to improve access to health insurance and care for marginalized and vulnerable populations.
Project description:The COVID-19 pandemic has caused tremendous disruptions to non-COVID-19 clinical research. However, there has been little investigation on how patients themselves have responded to clinical trial recruitment during the COVID-19 pandemic. To investigate the effect of the COVID-19 pandemic on rates of patient consent to enrollment into non-COVID-19 clinical trials, we carried out a cross-sectional study using data from the Nitric Oxide/Acute Kidney Injury (NO/AKI) and Minimizing ICU Neurological Dysfunction with Dexmedetomidine-Induced Sleep (MINDDS) trials. All patients eligible for the NO/AKI or MINDDS trials who came to the hospital for cardiac surgery and were approached to gain consent to enrollment were included in the current study. We defined "Before COVID-19" as the time between the start of the relevant clinical trial and the date when efforts toward that clinical trial were deescalated by the hospital due to COVID-19. We defined "During COVID-19" as the time between trial de-escalation and trial completion. 5,015 patients were screened for eligibility. 3,851 were excluded, and 1,434 were approached to gain consent to enrollment. The rate of consent to enrollment was 64% in the "Before COVID-19" group and 45% in the "During COVID-19" group (n = 1,334, P<0.001) (RR = 0.70, 95% CI 0.62 to 0.80, P<0.001). Thus, we found that rates of consent to enrollment into the NO/AKI and MINDDS trials dropped significantly with the onset of the COVID-19 pandemic. Patient demographic and socioeconomic status data collected from electronic medical records and patient survey data did not shed light on possible explanations for this observed drop, indicating that there were likely other factors at play that were not directly measured in the current study. Increased patient hesitancy to enroll in clinical trials can have detrimental effects on clinical science, patient health, and patient healthcare experience, so understanding and addressing this issue during the COVID-19 pandemic is crucial.
Project description:IntroductionControlled clinical trials (CCTs) have traditionally been limited to urban academic clinical centers. Implementation of CCTs in rural setting is challenged by lack of resources, the inexperience of patient care team members in CCT conductance and workflow interruption, and global inexperience with remote data monitoring.MethodsWe report our experience during the coronavirus disease 2019 (COVID-19) pandemic in activating through remote monitoring a multicenter clinical trial (the Study of Efficacy and Safety of Canakinumab Treatment for cytokine release syndrome (CRS) in Participants with COVID-19-induced Pneumonia [CAN-COVID] trial, ClinicalTrials.gov Identifier: NCT04362813) at a rural satellite hospital, the VCU Health Community Memorial Hospital (VCU-CMH) in South Hill, VA, that is part of the larger VCU Health network, with the lead institution being VCU Health Medical College of Virginia Hospital (VCU-MCV), Richmond, VA. We used the local resources at the facility and remote guidance and oversight from the VCU-MCV resources using a closed-loop communication network. Investigational pharmacy, pathology, and nursing were essential to operate the work in coordination with the lead institution.ResultsFifty-one patients with COVID-19 were enrolled from May to August 2020, 35 (69%) at VCU-MCV, and 16 (31%) at VCU-CMH. Among the patients enrolled at VCU-CMH, 37.5% were female, 62.5% Black, and had a median age of 60 (interquartile range 56-68) years.ConclusionLocal decentralization of this trial in our experience gave rural patients access to a novel treatment and also accelerated enrollment and more diverse participants' representative of the target population.
Project description:To understand and analyse the global impact of COVID-19 on outpatient services, inpatient care, elective surgery, and perioperative colorectal cancer care, a DElayed COloRectal cancer surgery (DECOR-19) survey was conducted in collaboration with numerous international colorectal societies with the objective of obtaining several learning points from the impact of the COVID-19 outbreak on our colorectal cancer patients which will assist us in the ongoing management of our colorectal cancer patients and to provide us safe oncological pathways for future outbreaks.