Disruptions In Coverage Research Articles

Association of health insurance coverage disruptions and breast and colorectal cancer screening.

Health insurance coverage is critical for ensuring access to recommended health care in the United States. This study investigated the associations of health insurance coverage disruptions, also known as coverage churn, and receipt of breast and colorectal cancer screening. Adults who were age-eligible and younger than 65 years (range, 50-64 years) for breast (n=17,128 women) and colorectal (n=32,562 individuals) cancer screening were identified from 5 years of the National Health Interview Survey. Adults were categorized into five groups based on insurance type at survey (private, public, none) and prior coverage disruptions within the past year. Screening outcomes included: (1) ever-screened, (2) past-year screening, and (3) guideline-concordant screening. Separate multivariate logistic regression models were used to evaluate the associations between insurance coverage disruptions and cancer screening. Among adults who had coverage at the time of the survey, 3.1% with private insurance and 6.5% with public insurance reported prior coverage disruptions. Individuals without health insurance coverage had the lowest level of screening. Among individuals who had private coverage, prior disruptions were associated with lower guideline-concordant screening in adjusted analyses (breast cancer screening: adjusted prevalence ratio [aPR], 0.82; 95% confidence interval [CI], 0.75-0.89; colorectal cancer screening: aPR, 0.78; 95% CI, 0.72-0.86); among those who had public coverage, prior disruptions were also associated with lower guideline-concordant breast cancer screening (aPR, 0.73; 95% CI, 0.60-0.89) and colorectal cancer screening (aPR, 0.84; 95% CI, 0.72-0.99). Health insurance coverage disruptions were associated with lower past-year and guideline-concordant breast and colorectal cancer screening. The current findings underscore the importance of stable health insurance coverage to improve cancer screening and early detection when treatment is most effective.

Assessing the resilience of child immunisation programmes using geospatial modelling and interrupted time series analysis in Ethiopia and Kenya amidst the COVID-19 pandemic: tracking coverage and identifying key challenges

IntroductionThe COVID-19 pandemic disrupted healthcare provision and access in sub-Saharan Africa. Lockdowns and travel restrictions, coupled with fear of contracting the virus, disrupted services, especially for women’s and children’s health,...

Medicaid Eligibility Loss Among Dual-Eligible Beneficiaries Before and During COVID-19 Public Health Emergency

Medicaid coverage loss can substantially compromise access to and affordability of health care for dual-eligible beneficiaries. The extent to which this population lost Medicaid coverage before and during the COVID-19 public health emergency (PHE) and the characteristics of beneficiaries more at risk for coverage loss are currently not well known. To assess the loss of Medicaid coverage among dual-eligible beneficiaries before and during the first year of the PHE, and to examine beneficiary-level and plan-level factors associated with heightened likelihood of losing Medicaid. This repeated cross-sectional study used national Medicare data to estimate annual rates of Medicaid loss among dual-eligible beneficiaries before (2015 to 2019) and during the PHE (2020). Individuals who were dual eligible for Medicare and Medicaid at the beginning of a given year and who continuously received low-income subsidies for Medicare Part D prescription drug coverage were included in the sample. Multivariable regression models were used to examine beneficiary-level and plan-level factors associated with Medicaid loss. Data analyses were conducted between March 2023 and October 2023. Onset of PHE. Loss of Medicaid for at least 1 month within a year. Sample included 56 172 736 dual-eligible beneficiary-years between 2015 and 2020. In 2020, most dual-eligible beneficiaries were aged over 65 years (5 984 420 [61.1%]), female (5 868 866 [59.9%]), non-Hispanic White (4 928 035 [50.3%]), full-benefit eligible (6 837 815 [69.8%]), and enrolled in traditional Medicare (5 343 537 [54.6%]). The adjusted proportion of dual-eligible beneficiaries losing Medicaid for at least 1 month increased from 6.6% in 2015 to 7.3% in 2019 and then dropped to 2.3% in 2020. Between 2015 and 2019, dual-eligible beneficiaries who were older (ages 55-64 years: -1.4%; 95% CI, -1.8% to -1.0%; ages 65-74 years: -2.0%; 95% CI, -2.5% to -1.5%; ages 75 and older: -4.5%; 95% CI, -5.0% to -4.0%), disabled (-0.8%; 95% CI, -1.1% to -0.6%), and in integrated care programs were less likely to lose Medicaid. In 2020, the disparities within each of these demographic groups narrowed significantly. Notably, while Black (0.6%; 95% CI, 0.2% to 0.9%) and Hispanic (0.7%; 95% CI, 0.3% to 1.2%) dual-eligible beneficiaries were more likely to lose Medicaid than their non-Hispanic White counterparts between 2015 and 2019, such gap was eliminated for Black beneficiaries and narrowed for Hispanic beneficiaries in 2020. During the PHE, Medicaid coverage loss declined significantly among dual-eligible beneficiaries, and disparities were mitigated across subgroups. As the PHE unwinds, it is crucial for policymakers to implement strategies to minimize Medicaid coverage disruptions and racial and ethnic disparities, especially given that loss of Medicaid was slightly increasing over time before the PHE.

Estimating the health effects of COVID-19-related immunisation disruptions in 112 countries during 2020–30: a modelling study

There have been declines in global immunisation coverage due to the COVID-19 pandemic. Recovery has begun but is geographically variable. This disruption has led to under-immunised cohorts and interrupted progress in reducing vaccine-preventable disease burden. There have, so far, been few studies of the effects of coverage disruption on vaccine effects. We aimed to quantify the effects of vaccine-coverage disruption on routine and campaign immunisation services, identify cohorts and regions that could particularly benefit from catch-up activities, and establish if losses in effect could be recovered. For this modelling study, we used modelling groups from the Vaccine Impact Modelling Consortium from 112 low-income and middle-income countries to estimate vaccine effect for 14 pathogens. One set of modelling estimates used vaccine-coverage data from 1937 to 2021 for a subset of vaccine-preventable, outbreak-prone or priority diseases (ie, measles, rubella, hepatitis B, human papillomavirus [HPV], meningitis A, and yellow fever) to examine mitigation measures, hereafter referred to as recovery runs. The second set of estimates were conducted with vaccine-coverage data from 1937 to 2020, used to calculate effect ratios (ie, the burden averted per dose) for all 14 included vaccines and diseases, hereafter referred to as full runs. Both runs were modelled from Jan 1, 2000, to Dec 31, 2100. Countries were included if they were in the Gavi, the Vaccine Alliance portfolio; had notable burden; or had notable strategic vaccination activities. These countries represented the majority of global vaccine-preventable disease burden. Vaccine coverage was informed by historical estimates from WHO-UNICEF Estimates of National Immunization Coverage and the immunisation repository of WHO for data up to and including 2021. From 2022 onwards, we estimated coverage on the basis of guidance about campaign frequency, non-linear assumptions about the recovery of routine immunisation to pre-disruption magnitude, and 2030 endpoints informed by the WHO Immunization Agenda 2030 aims and expert consultation. We examined three main scenarios: no disruption, baseline recovery, and baseline recovery and catch-up. We estimated that disruption to measles, rubella, HPV, hepatitis B, meningitis A, and yellow fever vaccination could lead to 49 119 additional deaths (95% credible interval [CrI] 17 248-134 941) during calendar years 2020-30, largely due to measles. For years of vaccination 2020-30 for all 14 pathogens, disruption could lead to a 2·66% (95% CrI 2·52-2·81) reduction in long-term effect from 37 378 194 deaths averted (34 450 249-40 241 202) to 36 410 559 deaths averted (33 515 397-39 241 799). We estimated that catch-up activities could avert 78·9% (40·4-151·4) of excess deaths between calendar years 2023 and 2030 (ie, 18 900 [7037-60 223] of 25 356 [9859-75 073]). Our results highlight the importance of the timing of catch-up activities, considering estimated burden to improve vaccine coverage in affected cohorts. We estimated that mitigation measures for measles and yellow fever were particularly effective at reducing excess burden in the short term. Additionally, the high long-term effect of HPV vaccine as an important cervical-cancer prevention tool warrants continued immunisation efforts after disruption. The Vaccine Impact Modelling Consortium, funded by Gavi, the Vaccine Alliance and the Bill & Melinda Gates Foundation. For the Arabic, Chinese, French, Portguese and Spanish translations of the abstract see Supplementary Materials section.

Association of health insurance coverage disruptions and breast, colorectal, and cervical cancer screening.

116 Background: Health insurance coverage is critical for ensuring access to recommended health care in the United States. This study investigates the effects of insurance coverage disruptions on receipt of breast, colorectal, and cervical cancer screenings. Methods: We identified adults <65 years eligible for breast, cervical and/or colorectal cancer screening from the 2015, 2019, and 2021 National Health Interview Survey (years cancer control supplements fielded). Adults were categorized into 5 groups based on insurance type at survey and prior coverage disruptions (lack of insurance during prior 12 months): private, with and without disruption; public, with and without disruption; and uninsured. Screening outcomes included: 1) past-year screening and 2) guideline-concordant screening, defined from the US Preventive Services Task Force guidelines available at the time of each survey. Separate multivariate logistic regression models were used to evaluate the associations of insurance coverage disruptions and cancer screening. Results: We identified 12,121 women aged 50-64 years eligible for breast cancer screening, 23,490 people aged 50-64 years eligible for colorectal cancer screening, and 33,391 women aged 21-64 years eligible for cervical cancer screening. Compared to people with continuous private or public coverage, people with coverage disruptions were less likely to receive past-year or guideline-concordant cancer screening (Table). People without health insurance coverage had the lowest level of screening. Among people with private coverage, disruptions were associated with lower guideline-concordant screening across all three cancer types in adjusted analyses (breast: AOR: 0.45, 95% confidence interval (CI): (0.32, 0.63); colorectal: 0.49 (0.39, 0.62); cervical: 0.70 (0.58,0.84)); among people with public coverage, disruptions were associated with lower guideline-concordant breast cancer screening (AOR: 0.39 (0.23, 0.65)). Conclusions: Health insurance coverage disruptions were associated with lower past-year and guideline-concordant breast, colorectal, and cervical cancer screening. Findings underscore the importance of stable health insurance coverage as part of a comprehensive approach to improve cancer screening rates and early detection of cancers when treatment is most effective.[Table: see text]

Continuous Medicaid coverage during the COVID-19 public health emergency reduced churning, but did not eliminate it.

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.

Early changes in health coverage and access to dental care associated with Medicaid expansion under the COVID-19 pandemic.

The extent to which the COVID-19 pandemic has affected early changes in health coverage and access to dental care services in states that expanded Medicaid versus those that did not is currently not well known. Using data from the National Health Interview Survey, we found that, during the first year of the COVID-19 pandemic, states that had previously expanded their Medicaid programs under the Affordable Care Act had lower uninsurance rates for White low-income adults (-8.8 percentage points; 95% CI: -16.6, -1.0) and lower dental uninsurance rates for all low-income adults (-5.4 percentage points; 95% CI: -10.4, -0.5). Our findings also suggest that the combination of Medicaid expansion with coverage of adult dental benefits in Medicaid was associated with improved dental coverage and access to dental care during the pandemic. With the expiration of the public health emergency declaration, states are considering strategies to prevent disruptions in Medicaid coverage. Our study adds to the evidence of the importance of Medicaid expansion in stabilizing health coverage during a public health crisis.

Short report on navigating access to care for Medicaid-enrolled autistic youth and young adults: Examining accrual of intellectual disability diagnoses in adolescence.

What is known? In most states, Medicaid waivers provide individuals with an intellectual disability diagnosis generous healthcare coverage throughout adulthood. By comparison, fewer Medicaid programs are available for autistic individuals, and they are more likely to experience disruptions, or gaps, in Medicaid coverage and subsequently not re-enroll.What this paper adds? One in five autistic individuals with Medicaid coverage between ages 8 and 25 accrued a new intellectual disability diagnosis. The probability of a new intellectual disability diagnosis was higher among those who had previous disruptions in Medicaid coverage.Implications for research and policy. Expanding Medicaid to cover autistic people of all ages could decrease the need for intellectual disability diagnosis accrual. Input from autistic individuals and their families regarding their health insurance access and healthcare experiences is critically important to understanding next steps for research.

Analysis of sarcoma outcomes at a metropolitan area safety net hospital.

e18688 Background: Sarcomas are a group of heterogenous tumors with diverse histopathological types. They account for less than 1% of adult solid tumors (1). The estimated new cases were 13,190 with 5,130 estimated deaths in 2022(2). Survival is largely determined by presence of metastasis on diagnosis, grade, site, and size of the tumor(3). Data over 19 years in our safety net hospital were analyzed including demographic data, disease characteristics and treatment modalities in association with overall survival. Methods: All patients diagnosed with sarcoma from 1998 to 2017 were included in the analysis. Patients were categorized by insurance status, stage, site, grade, pain on presentation, and treatment modalities. Survival analysis and Kaplan-Meier curves were conducted to examine the relation between patient demographics and survival. Results: Of 163 patients included in the analysis, 54% were insured and 46% were uninsured. Uninsured patients had a higher overall survival rate compared to insured patients (HR = 0.49, CI 0.38-0.90, p = 0.014). Regarding race, 55% of patients were white, 35.6% were black and 9.2% patients were identified as other races. There was no difference in overall survival between different ethnicities. Regarding gender, 61.3% were males and 38.7% were females with no statistically significant difference in survival. Compared to stage I, stage III were 2.28 times (CI 1.27-4.08, p = 0.005) and stage IV were 5.76 times (CI 3.16-10.05, p < 0.001) more likely to die. There was no statistically significant improvement in overall survival in patients who underwent chemotherapy or radiotherapy. However, surgical intervention was associated with improved survival and patients were three times more likely to survive (0.3, CI 0.18-0.5, p < 0.001). Analysis also showed no statistically significant difference in survival in patients presenting with pain. Conclusions: Insured patients have better outcomes overall than uninsured patients in sarcomas(4). Nevertheless, within safety-net-hospitals, all patients receive necessary treatment regardless of insurance status. We found that in our institution, insurance may factor in delaying treatment due to hurdles such as prior authorizations, co-pays and coverage disruptions(5). Conversely, uninsured patients can begin appropriate treatment without such delays which could explain difference in survival rates. Additional studies are needed to identify the possible effects of insurance and pinpoint its burden on survivorship. [Table: see text]

Assessing the hidden burden and costs of COVID-19 pandemic in South Asia: Implications for health and well-being of women, children and adolescents.

The COVID-19 pandemic has disproportionately affected vulnerable populations. With its intensity expected to be cyclical over the foreseeable future, and much of the impact estimates still modeled, it is imperative that we accurately assess the impact to date, to help with the process of targeted rebuilding of services. We collected data from administrative health information systems in six South Asian countries (Afghanistan, Bangladesh, Nepal, India, Pakistan and Sri Lanka), to determine essential health services coverage disruptions between January-December 2020, and January-June 2021, compared to the same calendar months in 2019, and estimated the impact of this disruption on maternal and child mortality using the Lives Saved Tool. We also modelled impact of prolonged school closures on continued enrollment, as well as potential sequelae for the cohort of girls who have likely dropped out. Coverage of key maternal and child health interventions, including antenatal care and immunizations, decreased by up to 60%, with the largest disruptions observed between April and June 2020. This was followed by a period of recovery from July 2020 to March 2021, but a reversal of most of these gains in April/May 2021, likely due to the delta variant-fueled surge in South Asia at the same time. We estimated that disruption of essential health services between January 2020 and June 2021 potentially resulted in an additional 19,000 maternal and 317,000 child deaths, an increase of 19% and 13% respectively, compared to 2019. Extended school closures likely resulted in 9 million adolescents dropping out permanently, with 40% likely being from poorest households, resulting in decreased lifetime earnings. A projected increase in early marriages for girls who dropped out could result in an additional 500,000 adolescent pregnancies, 153,000 low birthweight births, and 27,000 additional children becoming stunted by age two years. To date, the increase in maternal and child mortality due to health services disruption has likely exceeded the overall number of COVID-19 deaths in South Asia. The indirect effects of the pandemic were disproportionately borne by the most vulnerable populations, and effects are likely to be long-lasting, permanent and in some cases inter-generational, unless policies aimed at alleviating these impacts are instituted at scale and targeted to reach the poorest of the poor. There are also implications for future pandemic preparedness.

Does candidates’ media exposure affect vote shares? Evidence from Pope breaking news

I study the impact of politicians’ media exposure in campaign on their vote share, exploiting an exogenous change in coverage during the Italian 2013 electoral race. Right before the election, the Pope Benedict XVI suddenly resigned and broadcast coverage of politics markedly dropped. Only five days of lower visibility of the right-wing leader and TV tycoon Berlusconi (-26 percentage points) caused a 2 percentage points dip in his vote share, and lead to his defeat by 0.4 percentage points. Following the TV coverage disruption, a part of Berlusconi’s electorate resorted to Internet for political news, and later favored a new party with Internet-centred propaganda.

Is There Investment Value in the Soft-Dollar Arrangement? Evidence from Mutual Funds

Abstract Combining novel data on analyst employment history and mutual fund commission payments, we show that client funds generate higher returns on stocks for which they have access to research by industry expert analysts. The outperformance is greater when funds are more important clients and cannot be attributed to tipping. Client funds place modestly higher weights on stocks covered by industry expert analysts and allocate more commissions to brokers providing such coverage. For identification, we exploit exogenous analyst coverage disruptions. Our findings contribute to the debate on whether mutual funds obtain any investment value from access to analysts through the soft-dollar arrangement. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Past Disruptions in Health Insurance Coverage and Access to Care Among Insured Adults

Although the association between health insurance coverage and access to care is well documented, it is unclear whether the deleterious effects of being uninsured are strictly contemporaneous or whether previous disruptions in coverage have persistent effects. This study addresses this issue using nationally representative data covering 2011-2019 to estimate the extent to which disruptions in health insurance coverage continued to be associated with poor access even after coverage was regained. Analysis was conducted in 2022. Using a nationally representative cohort of insured adults aged 18-64 years (N=39,904) and multivariable logistic regression models, the authors estimated the association between past disruptions in coverage (occurring at least 1 year before) and the risks of lacking a usual source of care provider and having unmet medical need. Among insured nonelderly adults, the risk of being without a usual source of care provider was between 18% (risk ratio=1.18; 95% CI=1.00, 1.38) and 75% higher (risk ratio=1.75; 95% CI=1.56, 1.93) than for those with continuous coverage; the risk of having unmet medical needs was between 41% (risk ratio=1.41; 95% CI=1.00, 1.83) and 66% (risk ratio=1.66; 95% CI=1.26, 2.06) higher. Longer insurance disruptions were associated with a higher risk of lacking a usual source of care provider. Previous disruptions in health insurance coverage continued to be negatively associated with access to care for more than a year after coverage was regained. Improving access to care in the U.S. may require investing in policies and programs that help to strengthen coverage continuity among individuals with insurance coverage rather than focusing exclusively on helping uninsured individuals to gain coverage.

Assessment of Churn in Coverage Among California’s Health Insurance Marketplace Enrollees

Individual health insurance marketplaces established through the Affordable Care Act of 2010 (ACA) fill a critical gap for those who lack other coverage options. The high degree of coverage turnover, or churn, has raised concerns about affordability and strategic behavior on the part of individuals to sign up only when they need care. To assess the role of California's ACA marketplaces in the broader health care landscape by understanding enrollment tenure and churn. This cross-sectional study analyzed survey data from a representative, probability-based sample of enrollees in California's ACA marketplace, Covered California, collected immediately after the open enrollment periods in 2018, 2019, and 2021. Administrative data from Covered California from January 1, 2014, to December 31, 2021, were used to analyze marketplace tenure. Survey data included 9571 heads of households aged 18 to 64 years who were newly enrolled or had recently terminated their plan, directly drawn from Covered California's administrative records. Administrative data included individuals up to age 65 years who enrolled in the marketplace during 2014 to 2021. New enrollment in or termination from health care coverage through California's ACA marketplace. Enrollment tenure in California's ACA marketplace, sources of coverage prior to enrolling and after terminating coverage, and demographic or plan characteristics associated with the decision to go uninsured. Median (IQR) length of coverage among 5.4 million enrollees (mean [SD] age, 38 [16] years; 17% Asian American/Native Hawaiian or other Pacific Islander, 2.5% Black or African American, 23% Latino [response options were Hispanic, Spanish, or Latino origin], 29% White, 7.5% categorized as other [including American Indian/Alaskan Native, multiple races, and other], and 21% of unknown race or ethnicity) was 14 (6-35) months, and 41% to 46% of enrollees disenrolled within 1 year, with substantial variation by subgroups. Despite this churn, only 14% (95% CI, 12%-15%) of 6474 terminating members surveyed across 3 years (2018, 2019, and 2021) reported being uninsured after leaving the marketplace, with the rest moving to job-based coverage or Medicaid. Most of those surveyed (mean [SE] percentage, 56% [0.016] individuals) reported having had employer-sponsored insurance or Medicaid prior to enrolling in the marketplace. Among subsidized renewal candidates, Latino candidates were 1.5 percentage points (95% CI, 0.8-2.3 percentage points) more likely to go uninsured compared with White candidates, and those with no expected physician visits in the coming year were 4.8 percentage points (95% CI, 2.4-7.2 percentage points) more likely to go uninsured vs those who expected physician visits. The results of this cross-sectional study of coverage churn found that ACA marketplaces served 2 distinct types of individuals, long-term enrollees but, more often, individuals with short-term-coverage needs due to a change in eligibility for other insurance. These results suggest that marketplaces are smoothing coverage disruptions and that policies to reduce gaps in coverage should be designed with this in mind.

Association of Health Insurance Coverage Disruptions With Mortality Risk Among US Working-Age Adults

This cohort study assesses associations of a prior coverage disruption with mortality risk among large, nationally representative cohorts of working-age adults with public or private health insurance coverage.

Coverage Disruptions and Transitions Across the ACA's Medicaid/Marketplace Income Cutoff.

The Affordable Care Act takes a "patchwork" approach to expanding coverage: Medicaid covers individuals with incomes 138% of the federal poverty level (FPL) in expansion states, while subsidized Marketplace insurance is available to those above this income cutoff. To characterize the magnitude of churning between Medicaid and Marketplace coverage and to examine the impact of the 138% FPL income cutoff on stability of coverage. We measured the incidence of transitions between Medicaid and Marketplace coverage. Then, we used a differences-in-differences framework to compare insurance churning in Medicaid expansion and non-expansion states, before and after the ACA, among adults with incomes 100-200% of poverty. Non-elderly adult respondents of the Medical Expenditure Panel Survey 2010-2018 MAIN MEASURES: The annual proportion of adults who (1) transitioned between Medicaid and Marketplace coverage; (2) experienced any coverage disruption. One million U.S. adults transitioned between Medicaid and Marketplace coverage annually. The 138% FPL cutoff in expansion states was not associated with an increase in insurance churning among individuals with incomes close to the cutoff. Transitions between Medicaid and Marketplace insurance are uncommon-far lower than pre-ACA analyses predicted. The 138% income cutoff does not to contribute significantly to insurance disruptions.

Medicaid Coverage Disruptions Among Children Enrolled in North Carolina Medicaid From 2016 to 2018

Brief disruptions in insurance coverage among eligible participants are associated with poorer health outcomes for children. To describe factors associated with coverage disruptions among children enrolled in North Carolina Medicaid from 2016 to 2018 and estimate the outcome of preventing such disruptions on medical expenditures. This was a retrospective cohort study using North Carolina Medicaid claims data. All enrolled individuals were aged 1 to 20 years on January 1, 2016, and with 30 days of prior continuous enrollment. Children were observed from January 1, 2016, until December 31, 2018. Analyses were conducted from June 2020 through December 2020. Risk of Medicaid coverage disruptions of 1 to less than 12 months was assessed. Among children who disenrolled from Medicaid for 30 or more days, the risk of reenrollment within 1 to 6 months and 7 to 11 months was assessed. An inverse probability of censoring weights method was then used to estimate the outcome of an intervention to reduce coverage disruptions through preventing disenrollment on per member per month (PMPM) cost. The study population included 831 173 Medicaid beneficiaries aged 1 to 5 years (23%), 6 to 17 years (68%), and 18 to 20 years (9%); 35% were Black, 44% were White, and 14% were Hispanic/Latinx. Among those with a first disenrollment (n = 214 401, 26%), the risk of reenrollment within 6 months and 7 to 11 months was 19% and 7%, respectively. Risk of coverage disruption was higher for Black children (hazard ratio [HR], 1.21; 95% CI, 1.18-1.24), children of other races (Asian, American Indian, Hawaiian or Pacific Islander, multiple races, or unreported; HR, 1.37; 95% CI, 1.33-1.40), and Latinx children (HR, 1.65; 95% CI, 1.60-1.70) compared with White children. Risk of coverage disruption was also higher for children with higher medical complexity (HR, 1.15; 95% CI, 1.12-1.19). The risk of coverage disruption was lower for children living in counties with the highest unemployment rates (HR, 0.89; 95% CI, 0.85-0.94), and comparisons between county-level measures of child poverty and graduation rates showed little or no difference. The estimated PMPM cost for the full population under a scenario in which all medical costs were included was $125.73. Estimated PMPM cost for the full cohort in a counterfactual scenario in which disenrollment was prevented was slightly lower ($122.14). Across all subgroups, estimated PMPM costs were modestly lower ($2-$8) in the scenario in which disenrollment was prevented. In this cohort study, the risk of Medicaid coverage disruption was high, with many eligible children in historically marginalized communities continuing to experience unstable enrollment. In addition to improving health outcomes, preventing coverage gaps through policies that decrease disenrollment may also reduce Medicaid costs.

Patterns in Medicaid Coverage and Service Utilization Among People with Serious Mental Illnesses.

Disruptions in Medicaid adversely affect service use and outcomes among individuals with serious mental illnesses (SMI). A retrospective longitudinal study examined Medicaid coverage and service utilization patterns among individuals with SMI (N = 8358) from 2007 to 2010. Only 36% of participants were continuously enrolled in Medicaid and 20% experienced multiple enrollment disruptions. Mental health diagnosis did not predict continuous coverage; however, individuals with schizophrenia were 19% more likely to have multiple coverage disruptions than those with depression (b = -0.21; p < 0.01). Single and multiple coverage disruptions were associated with decreased rates of outpatient service days utilized (IRR = 0.77 and 0.65, respectively, p < 0.001) and decreased odds of not using acute care services (OR 0.26 and 0.19, respectively, p < 0.001). Future research should explore mechanisms underlying Medicaid stability and develop interventions that facilitate insurance stability and service utilization.

Estimating global and regional disruptions to routine childhood vaccine coverage during the COVID-19 pandemic in 2020: a modelling study

SummaryBackgroundThe COVID-19 pandemic and efforts to reduce SARS-CoV-2 transmission substantially affected health services worldwide. To better understand the impact of the pandemic on childhood routine immunisation, we estimated disruptions in vaccine coverage associated with the pandemic in 2020, globally and by Global Burden of Disease (GBD) super-region.MethodsFor this analysis we used a two-step hierarchical random spline modelling approach to estimate global and regional disruptions to routine immunisation using administrative data and reports from electronic immunisation systems, with mobility data as a model input. Paired with estimates of vaccine coverage expected in the absence of COVID-19, which were derived from vaccine coverage models from GBD 2020, Release 1 (GBD 2020 R1), we estimated the number of children who missed routinely delivered doses of the third-dose diphtheria-tetanus-pertussis (DTP3) vaccine and first-dose measles-containing vaccine (MCV1) in 2020.FindingsGlobally, in 2020, estimated vaccine coverage was 76·7% (95% uncertainty interval 74·3–78·6) for DTP3 and 78·9% (74·8–81·9) for MCV1, representing relative reductions of 7·7% (6·0–10·1) for DTP3 and 7·9% (5·2–11·7) for MCV1, compared to expected doses delivered in the absence of the COVID-19 pandemic. From January to December, 2020, we estimated that 30·0 million (27·6–33·1) children missed doses of DTP3 and 27·2 million (23·4–32·5) children missed MCV1 doses. Compared to expected gaps in coverage for eligible children in 2020, these estimates represented an additional 8·5 million (6·5–11·6) children not routinely vaccinated with DTP3 and an additional 8·9 million (5·7–13·7) children not routinely vaccinated with MCV1 attributable to the COVID-19 pandemic. Globally, monthly disruptions were highest in April, 2020, across all GBD super-regions, with 4·6 million (4·0–5·4) children missing doses of DTP3 and 4·4 million (3·7–5·2) children missing doses of MCV1. Every GBD super-region saw reductions in vaccine coverage in March and April, with the most severe annual impacts in north Africa and the Middle East, south Asia, and Latin America and the Caribbean. We estimated the lowest annual reductions in vaccine delivery in sub-Saharan Africa, where disruptions remained minimal throughout the year. For some super-regions, including southeast Asia, east Asia, and Oceania for both DTP3 and MCV1, the high-income super-region for DTP3, and south Asia for MCV1, estimates suggest that monthly doses were delivered at or above expected levels during the second half of 2020.InterpretationRoutine immunisation services faced stark challenges in 2020, with the COVID-19 pandemic causing the most widespread and largest global disruption in recent history. Although the latest coverage trajectories point towards recovery in some regions, a combination of lagging catch-up immunisation services, continued SARS-CoV-2 transmission, and persistent gaps in vaccine coverage before the pandemic still left millions of children under-vaccinated or unvaccinated against preventable diseases at the end of 2020, and these gaps are likely to extend throughout 2021. Strengthening routine immunisation data systems and efforts to target resources and outreach will be essential to minimise the risk of vaccine-preventable disease outbreaks, reach children who missed routine vaccine doses during the pandemic, and accelerate progress towards higher and more equitable vaccination coverage over the next decade.FundingBill & Melinda Gates Foundation.

Physicians' perspectives on continuity of care for patients involved in the criminal justice system: A qualitative study.

In 2016, over 11 million individuals were admitted to prisons and jails in the United States. Because the majority of these individuals will return to the community, addressing their health needs requires coordination between community and correctional health care providers. However, few systems exist to facilitate this process and little is known about how physicians perceive and manage these transitions. The goal of this study was to characterize physicians' views on transitions both into and out of incarceration and describe how knowledge of a patient's criminal justice involvement impacts patient care plans. Semi-structured interviews were conducted between October 2018 and May 2019 with physicians from three community clinics in Hennepin County, Minnesota. Team members used a hybrid approach of deductive and inductive coding, in which a priori codes were defined based on the interview guide while also allowing for data-driven codes to emerge. Four themes emerged related to physicians' perceptions on continuity of care for patients with criminal justice involvement. Physicians identified disruptions in patient-physician relationships, barriers to accessing prescription medications, disruptions in insurance coverage, and problems with sharing medical records, as factors contributing to discontinuity of care for patients entering and exiting incarceration. These factors impacted patients differently depending on the direction of the transition. Our findings identified four disruptions to continuity of care that physicians viewed as key barriers to successful transitions into and out of incarceration. These disruptions are unlikely to be effectively addressed at the provider level and will require system-level changes, which Medicaid and managed care organizations could play a leading role in developing.