Do Disruptions in Health Insurance Continue to Affect Access to Care Even After Coverage Is Regained?
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ABSTRACT:
SUBMITTER: Kirby JB
PROVIDER: S-EPMC9360292 | biostudies-literature | 2022 Aug
REPOSITORIES: biostudies-literature
Publications
Do Disruptions in Health Insurance Continue to Affect Access to Care Even After Coverage Is Regained?
Kirby James B JB Nogueira Leticia L Zhao Jingxuan J Yabroff K Robin KR
Journal of general internal medicine 20220106 10
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Project description:BackgroundLack of health insurance coverage is associated with poor access and receipt of cancer care and survival in the United States. Disruptions in coverage are common among low-income populations, but little is known about associations of disruptions with cancer care, including prevention, screening, and treatment, as well as outcomes of stage at diagnosis and survival.MethodsWe conducted a systematic review of studies of health insurance coverage disruptions and cancer care and outcomes published between 1980 and 2019. We used the PubMed, EMBASE, Scopus, and CINAHL databases and identified 29 observational studies. Study characteristics and key findings were abstracted and synthesized qualitatively.ResultsStudies evaluated associations between coverage disruptions and prevention or screening (31.0%), treatment (13.8%), end-of-life care (10.3%), stage at diagnosis (44.8%), and survival (20.7%). Coverage disruptions ranged from 4.3% to 32.8% of patients age-eligible for breast, cervical, or colorectal cancer screening. Between 22.1% and 59.5% of patients with Medicaid gained coverage only at or after cancer diagnosis. Coverage disruptions were consistently statistically significantly associated with lower receipt of prevention, screening, and treatment. Among patients with cancer, those with Medicaid disruptions were statistically significantly more likely to have advanced stage (odds ratios = 1.2-3.8) and worse survival (hazard ratios = 1.28-2.43) than patients without disruptions.ConclusionsHealth insurance coverage disruptions are common and adversely associated with receipt of cancer care and survival. Improved data infrastructure and quasi-experimental study designs will be important for evaluating the associations of federal and state policies on coverage disruptions and care and outcomes.
| S-EPMC7357319 | biostudies-literature
Project description:ObjectiveTo test the impact of the dependent coverage expansion (DCE) on insurance disparities across race/ethnic groups.Data sources/study settingSurvey data from the National Survey of Drug Use and Health (NSDUH).Study designTriple-difference (DDD) models were applied to repeated cross-sectional surveys of the U.S. adult population.Data collection/extraction methodsData from 6 years (2008-2013) of the NSDUH were combined.Principal findingsFollowing the DCE, the relative odds of insurance increased 1.5 times (95 percent CI 1.1, 1.9) among whites compared to blacks and 1.4 times (95 percent CI 1.1, 1.8) among whites compared to Hispanics.ConclusionsHealth reform efforts, such as the DCE, can have negative effects on race/ethnic disparities, despite positive impacts in the general population.
| S-EPMC5867154 | biostudies-literature
Project description:Virginia expanded Medicaid under the Affordable Care Act beginning in January 2019, which substantially increased income eligibility up to 138% of the federal poverty level (FPL) for both childless adults and parents. In this study, we examined the effects of Virginia's Medicaid expansion in 2019 on health insurance coverage, access to care, and health status by employing a difference-in-differences and a synthetic control design. The study included data on health insurance from the 2016-2020 American Community Survey (ACS) and data on access to care and health status come from the 2016-2020 Behavioral Risk Factors Surveillance System (BRFSS). The samples from ACS and BRFSS were limited to non-elderly adults with income below 138% of the FPL. Separate models were estimated for individuals below 100% of FPL, and those within 100-138% of FPL. The Virginia Medicaid expansion was associated with a 9-11 percentage-point increase in Medicaid coverage rate and a 7-8 percentage-point increase in the insured rate among individuals below 100% FPL, in the first two years of expansion. There was a larger increase in Medicaid coverage among individuals within 100-138% of FPL which also led to a larger increase in the insured rate in 2020. Both income groups showed no changes in private coverage after the expansion in Virginia. We also found a decline in delaying necessary medical visits due to cost for individuals below 100% FPL in 2019 and for individuals within 100-138% FPL in 2020. There was overall no discernable change in health status outcomes. Virginia's 2019 Medicaid expansion substantially increased insurance coverage among poor adults with suggestive early evidence for improved access. The findings highlight the missed opportunity for other states that have not yet decided to expand their Medicaid programs to improve coverage and access among their low-income individuals.
| S-EPMC9134455 | biostudies-literature
Project description:ImportanceAn increasing diversity of children's health coverage options under the US Patient Protection and Affordable Care Act, together with uncertainty regarding reauthorization of the Children's Health Insurance Program (CHIP) beyond 2017, merits renewed attention on the quality of these options for children.ObjectiveTo compare health care access, quality, and cost outcomes by insurance type (Medicaid, CHIP, private, and uninsured) for children in households with low to moderate incomes.Design, setting, and participantsA repeated cross-sectional analysis was conducted using data from the 2003, 2007, and 2011-2012 US National Surveys of Children's Health, comprising 80,655 children 17 years or younger, weighted to 67 million children nationally, with household incomes between 100% and 300% of the federal poverty level. Multivariable logistic regression models compared caregiver-reported outcomes across insurance types. Analysis was conducted between July 14, 2014, and May 6, 2015.ExposuresInsurance type was ascertained using a caregiver-reported measure of insurance status and each household's poverty status (percentage of the federal poverty level).Main outcomes and measuresCaregiver-reported outcomes related to access to primary and specialty care, unmet needs, out-of-pocket costs, care coordination, and satisfaction with care.ResultsAmong the 80,655 children, 51,123 (57.3%) had private insurance, 11,853 (13.6%) had Medicaid, 9554 (18.4%) had CHIP, and 8125 (10.8%) were uninsured. In a multivariable logistic regression model (with results reported as adjusted probabilities [95% CIs]), children insured by Medicaid and CHIP were significantly more likely to receive a preventive medical (Medicaid, 88% [86%-89%]; P < .01; CHIP, 88% [87%-89%]; P < .01) and dental (Medicaid, 80% [78%-81%]; P < .01; CHIP, 77% [76%-79%]; P < .01) visits than were privately insured children (medical, 83% [82%-84%]; dental, 73% [72%-74%]). Children with all insurance types experienced challenges in access to specialty care, with caregivers of children insured by CHIP reporting the highest rates of difficulty accessing specialty care (28% [24%-32%]), problems obtaining a referral (23% [18%-29%]), and frustration obtaining health care services (26% [23%-28%]). These challenges were also magnified for privately insured children with special health care needs, whose caregivers reported significantly greater problems accessing specialty care (29% [26%-33%]) and frustration obtaining health care services (36% [32%-41%]) than did caregivers of children insured by Medicaid, and a lower likelihood of insurance always meeting the child's needs (63% [60%-67%]) than children insured by Medicaid or CHIP. Caregivers of privately insured children were also significantly more likely to experience out-of-pocket costs (77% [75%-78%]) than were caregivers of children insured by Medicaid (26% [23%-28%]; P < .01) or CHIP (38% [35%-40%]; P < .01).Conclusions and relevanceThis examination of caregiver experiences across insurance types revealed important differences that can help guide future policymaking regarding coverage for families with low to moderate incomes.
| S-EPMC8011294 | biostudies-literature
Project description: Not available
| S-EPMC9685485 | biostudies-literature
Project description:ObjectiveMultiple studies have detailed the relationship between Medicaid expansion under the Affordable Care Act and various health and financial outcomes. However, fewer studies have examined Medicaid expansion's effects on individuals with psychiatric diagnoses. This study sought to determine the relationship between Medicaid expansion and various health and financial outcomes among low-income adults with depression.MethodsThis quasi-experimental study used a random-digit-dial survey of U.S. citizens ages 19-64 with incomes below 138% of the federal poverty level. Surveys were conducted in three southern states (two expansion states, Arkansas and Kentucky, and one nonexpansion state, Texas) between 2013 and 2016. The study sample consisted of those with a positive screen for depression-score of ≥2 on the two-item Patient Health Questionnaire (N=4,853). Survey-weighted difference-in-differences regressions were conducted with insurance status, health care access and utilization, and affordability of care as outcomes of interest. Subgroup analyses stratified the sample on the basis of the respondent's residence in a health professional shortage area (HPSA) in mental health and severity of depression.ResultsMedicaid expansion was associated with a significant reduction in the proportion of adults with depression who lacked health insurance (-23 percentage points, 95% confidence interval=-32 to -14, p<.001). Medicaid expansion was also associated with significant reductions in delaying care and medications because of cost. These changes were similar regardless of residence in a mental health HPSA and severity of depression.ConclusionsMedicaid expansion was associated with improved access to care and medication among persons with depression, even in areas with relative shortages of mental health professionals.
| S-EPMC6395562 | biostudies-literature
Project description:ImportanceBased on mortality estimates for 32 causes of death that are amenable to health care, the US health care system did not perform as well as other high-income countries, scoring 88.7 out of 100 on the 2016 age-standardized Healthcare Access and Quality (HAQ) index.ObjectiveTo compare US age-specific HAQ scores with those of high-income countries with universal health insurance coverage and compare scores among US states with varying insurance coverage.Design, setting, and participantsThis cross-sectional study used 2016 Global Burden of Diseases, Injuries, and Risk Factor study results for cause-specific mortality with adjustments for behavioral and environmental risks to estimate the age-specific HAQ indices. The US national age-specific HAQ scores were compared with high-income peers (Canada, western Europe, high-income Asia Pacific countries, and Australasia) in 1990, 2000, 2010, and 2016, and the 2016 scores among US states were also analyzed. The Public Use Microdata Sample of the American Community Survey was used to estimate insurance coverage and the median income per person by age and state. Age-specific HAQ scores for each state in 2010 and 2016 were regressed based on models with age fixed effects and age interaction with insurance coverage, median income, and year. Data were analyzed from April to July 2018 and July to September 2020.Main outcomes and measuresThe age-specific HAQ indices were the outcome measures.ResultsIn 1990, US age-specific HAQ scores were similar to peers but increased less from 1990 to 2016 than peer locations for ages 15 years or older. For example, for ages 50 to 54 years, US scores increased from 77.1 to 82.1 while high-income Asia Pacific scores increased from 71.6 to 88.2. In 2016, several states had scores comparable with peers, with large differences in performance across states. For ages 15 years or older, the age-specific HAQ scores were 85 or greater for all ages in 3 states (Connecticut, Massachusetts, and Minnesota) and 75 or less for at least 1 age category in 6 states. In regression analysis estimates with state-fixed effects, insurance coverage coefficients for ages 20 to 24 years were 0.059 (99% CI, 0.006-0.111); 45 to 49 years, 0.088 (99% CI, 0.009-0.167); and 50 to 54 years, 0.101 (99% CI, 0.013-0.189). A 10% increase in insurance coverage was associated with point increases in HAQ scores among the ages of 20 to 24 years (0.59 [99% CI, 0.06-1.11]), 45 to 49 years (0.88 [99% CI, 0.09-1.67]), and 50 to 54 years (1.01 [99% CI, 0.13-1.89]).Conclusions and relevanceIn this cross-sectional study, the US age-specific HAQ scores for ages 15 to 64 years were low relative to high-income peer locations with universal health insurance coverage. Among US states, insurance coverage was associated with higher HAQ scores for some ages. Further research with causal models and additional explanations is warranted.
| S-EPMC9434824 | biostudies-literature
Project description:The Affordable Care Act increased insurance coverage and access to care, according to numerous national studies. However, the administration of President Donald Trump implemented several policies that may have affected the act's effectiveness. It is unknown what effect these changes had on access to care. We used survey data for 2011-17 from the Behavioral Risk Factor Surveillance System to assess changes access to care among nonelderly adults from before to after the change in administration in 2017. We found that the proportion of adults who were uninsured or avoided care because of cost increased by 1.2 percentage points and 1.0 percentage points, respectively, during 2017. These changes were greater among respondents who had household incomes below 138 percent of the federal poverty level, resided in states that did not expand eligibility for Medicaid, or both. At the population level, our findings imply that approximately two million additional US adults experienced these outcomes at the end of 2017, compared to the end of 2016.
| S-EPMC8139823 | biostudies-literature
Project description:ObjectiveTo examine the effect of Medicaid expansions on health insurance coverage and access to care among low-income adults with behavioral health conditions.Data sources/study settingNine years (2004-2012) of individual-level cross-sectional data from a restricted-access version of National Survey on Drug Use and Health.Study designA quasi-experimental difference-in-differences design comparing outcomes among residents in 14 states that implemented Medicaid expansions for low-income adults under the Section §1115 waiver with those residing in the rest of the country.Data collection/extraction methodsThe analytic sample includes low-income adult respondents with household incomes below 200 percent of the federal poverty level who have a behavioral health condition: approximately 28,400 low-income adults have past-year serious psychological distress and 24,900 low-income adults have a past-year substance use disorder (SUD).Principal findingsAmong low-income adults with behavioral health conditions, Medicaid expansions were associated with a reduction in the rate of uninsurance (p < .05), a reduction in the probability of perceiving an unmet need for mental health (MH) treatment (p < .05) and for SUD treatment (p < .05), as well as an increase in the probability of receiving MH treatment (p < .01).ConclusionsThe ongoing implementation of Medicaid expansions has the potential to improve health insurance coverage and access to care for low-income adults with behavioral health conditions.
| S-EPMC4693853 | biostudies-literature
Project description:BackgroundIn the USA, people with limited English proficiency (LEP) disproportionately experience gaps in health insurance coverage and access to care. The Patient Protection and Affordable Care Act (ACA) of 2010 included reforms that could improve these outcomes.ObjectiveTo describe changes in insurance coverage and access to health care by English language proficiency over 2006-2016.DesignWe used regression models to estimate changes in coverage and access after 2010 for adults with high vs. limited English proficiency, adjusting for socio-economic status, demographic characteristics, and health care needs. We used difference-in-differences models to assess adjusted changes in disparities by English proficiency after 2010. Supplemental analyses used nearest-neighbor propensity score matching to balance the characteristics of respondents.ParticipantsRespondents aged 18-64 in the Medical Expenditure Panel Survey over 2006-2016, with high (n = 174,214) or limited (n = 16,484) English language proficiency.Main measuresInsurance coverage was a binary variable indicating any health insurance coverage during the past 12 months. Access to care was measured using binary variables indicating whether the respondent had a usual source of care and received necessary medical, dental, and preventive care.Key resultsGains in health insurance coverage after 2010 were significant for adults with high English proficiency (1.7 percentage points, p < 0.001) and adults with limited English proficiency (4.6 percentage points, p = 0.007); gains did not significantly vary by English proficiency. Adults with LEP showed larger improvements than adults with high English proficiency in having a usual source of care (5 percentage points, p = 0.007) and receiving needed medical care and dental care (1.4 percentage points, p = 0.013, and 2.8 percentage points, p = 0.009, respectively). Findings remained similar when matching was used to balance the measured characteristics of respondents with high vs. limited English proficiency.ConclusionsDisparities in health care access by English proficiency narrowed after 2010, the year of passage of the ACA.
| S-EPMC7210354 | biostudies-literature