Unemployment Insurance, Health-Related Social Needs, Health Care Access, and Mental Health During the COVID-19 Pandemic.
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ABSTRACT:
SUBMITTER: Berkowitz SA
PROVIDER: S-EPMC8094006 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ImportanceMany US children and adolescents with mental and behavioral health (MBH) conditions do not access MBH services. One contributing factor is limited insurance coverage, which is influenced by state MBH insurance parity legislation.ObjectiveTo investigate the association of patient-level factors and the comprehensiveness of state MBH insurance legislation with perceived poor access to MBH care and perceived inadequate MBH insurance coverage for US children and adolescents.Design, setting, and participantsThis retrospective cross-sectional study was conducted using responses by caregivers of children and adolescents aged 6 to 17 years with MBH conditions in the National Survey of Children's Health and State Mental Health Insurance Laws Dataset from 2016 to 2019. Data analyses were conducted from May 2022 to January 2024.ExposureMBH insurance legislation comprehensiveness defined by State Mental Health Insurance Laws Dataset (SMHILD) scores (range, 0-7).Main outcomes and measuresPerceived poor access to MBH care and perceived inadequacy of MBH insurance were assessed. Multivariable regression models adjusted for individual-level characteristics.ResultsThere were 29 876 caregivers of children and adolescents with MBH conditions during the study period representing 14 292 300 youths nationally (7 816 727 aged 12-17 years [54.7%]; 8 455 171 male [59.2%]; 292 543 Asian [2.0%], 2 076 442 Black [14.5%], and 9 942 088 White [69.6%%]; 3 202 525 Hispanic [22.4%]). A total of 3193 caregivers representing 1 770 492 children and adolescents (12.4%) perceived poor access to MBH care, and 3517 caregivers representing 1 643 260 of 13 175 295 children and adolescents (12.5%) perceived inadequate MBH insurance coverage. In multivariable models, there were higher odds of perceived poor access to MBH care among caregivers of Black (adjusted odds ratio [aOR], 1.35; 95% CI, 1.04-1.75) and Asian (aOR, 1.69; 95% CI, 1.01-2.84) compared with White children and adolescents. As exposures to adverse childhood experiences (ACEs) increased, the odds of perceived poor access to MBH care increased (aORs ranged from 1.68; 95%, CI 1.32-2.13 for 1 ACE to 4.28; 95% CI, 3.17-5.77 for ≥4 ACEs compared with no ACEs). Compared with living in states with the least comprehensive MBH insurance legislation (SMHILD score, 0-2), living in states with the most comprehensive legislation (SMHILD score, 5-7) was associated with lower odds of perceived poor access to MBH care (aOR, 0.79; 95% CI, 0.63-0.99), while living in states with moderately comprehensive legislation (score, 4) was associated with higher odds of perceived inadequate MBH insurance coverage (aOR, 1.23; 95% CI, 1.01-1.49).Conclusions and relevanceIn this study, living in states with the most comprehensive MBH insurance legislation was associated with lower odds of perceived poor access to MBH care among caregivers for children and adolescents with MBH conditions. This finding suggests that advocacy for comprehensive mental health parity legislation may promote improved child and adolescent access to MBH services.
| S-EPMC11320173 | biostudies-literature
Project description:The cost of mental health services has always been a great barrier to accessing care for people with mental health problems. This article documents changes in insurance coverage and cost for mental health services for people with public insurance, private insurance, and no coverage. In 2009-10 people with mental health problems were more likely to have public insurance and less likely to have private insurance than in 1999-2000. Although access to specialty care remained relatively stable for people with mental illnesses, cost barriers to care increased among the uninsured and the privately insured who had serious mental illnesses. The rise in cost barriers among those with private insurance suggests that the current financing of care in the private insurance market is insufficient to alleviate cost burdens and has implications for reforms under the Affordable Care Act. People with mental health problems who are newly eligible to purchase private insurance under the act might still encounter high cost barriers to accessing care.
| S-EPMC4236908 | biostudies-literature
Project description:We use micro data on earnings together with the details of each state's unemployment insurance (UI) system to compute the distribution of UI benefits after the uniform $600 Federal Pandemic Unemployment Compensation (FPUC) supplement implemented by the CARES Act. We find that between April and July 2020, 76% of workers eligible for regular Unemployment Compensation have statutory replacement rates above 100%, meaning that they are eligible for benefits which exceed lost wages. The median statutory replacement rate is 145%. We also compute comprehensive replacement rates, which account for employer provided non-wage compensation and differential tax treatment of labor income and UI. 69% of UI-eligible unemployed have comprehensive replacement rates above 100% and the median comprehensive replacement rate is 134%. The presence of the FPUC has important implications for the incidence of the recession and reverses income patterns which would have otherwise arisen across income levels, occupations, and industries.
| S-EPMC7525248 | biostudies-literature
Project description:ImportanceThe COVID-19 pandemic has been associated with increased unemployment rates and long periods when individuals were without health insurance. Little is known about how Medicaid expansion facilitates Medicaid enrollment as a buffer to coverage loss owing to unemployment.ObjectiveTo compare changes in health insurance coverage status associated with pandemic-related unemployment among previously employed adults in states that have vs have not expanded Medicaid eligibility.Design setting and participantsThis cohort study included US adults aged 27 to 64 years who were employed at baseline in the 2020 to 2021 Current Population Survey's Annual Social and Economic Supplement, which included calendar years 2019 to 2020 (32 462 person-years). Data analyses were conducted between November 2021 and April 2022.ExposuresJob loss (ie, new unemployment) experienced during 2020.Main outcomes and measuresPrimary outcomes were coverage status (ie, uninsured status) and source of coverage (ie, employer sponsored, marketplace, and Medicaid). Using 2-way person-by-year fixed-effects regression models, changes in coverage status associated with unemployment in states that expanded Medicaid were compared with states that did not expand Medicaid. Additional analyses were performed based on prepandemic coverage status.ResultsThe cohort included 16 231 adults (mean age, 46.8 [95% CI, 46.6-47.0] years; 51.6% women). New unemployment was associated with an increase of 2.9 (95% CI, 1.1-4.6) percentage points (P = .002) in the proportion of uninsured adults in Medicaid expansion states and an increase of 10.7 (95% CI, 2.4-18.9) percentage points (P = .01) in nonexpansion states. Workers were 5.4 (95% CI, 1.9-8.9) percentage points (P = .003) more likely to enroll in Medicaid after a job loss if they lived in a Medicaid expansion state compared with workers experiencing job loss in nonexpansion states.Conclusions and relevanceIn this cohort study of US adults, unemployment-related Medicaid enrollment was more frequent in Medicaid expansion states during the COVID-19 pandemic. Medicaid expansion led to a smaller increase in uninsured adults because those who lost private insurance coverage (eg, employer sponsored) appeared more able to transition to Medicaid after job loss.
| S-EPMC9206185 | biostudies-literature
Project description:ObjectiveTo provide new evidence on the effects of large-scale public health insurance expansions, associated with the Affordable Care Act (ACA), on the availability of specialty mental health care treatment in the United States. We measure availability with the probability that a provider accepts Medicaid.Data source/study settingThe National Mental Health Services Survey (N-MHSS) 2010-2018.Study designA quasi-experimental differences-in-differences design using observational data.Data collectionThe N-MHSS provides administrative data on the universe of specialty mental health care providers in the United States. Response rates are above 90 percent in all years. Data cover 85 019 provider/year observations.Principal findingsACA-Medicaid expansion increases the probability that a provider accepts Medicaid by 1.69 percentage points, 95 percent confidence interval: [0.0017,0.0321], which corresponds to an increase from 87.27 percent pre-expansion to 90.27 percent postexpansion in expansion states or a 1.94 percent increase. We observe spillovers to Medicare, although this finding is sensitive to specification.ConclusionsThis study provides evidence on the impact of ACA-Medicaid expansion on accepted forms of payment for specialty mental health care treatment. Findings suggest that expansion increases availability of providers who deliver valuable care for enrollees with severe mental illness. These findings may help policy makers reflecting on the future directions of the US health care delivery system.
| S-EPMC7375998 | biostudies-literature
Project description: Not available
| S-EPMC9486636 | biostudies-literature
Project description:PurposeSubjective social status (SSS) reflects individuals' perceived position in a social hierarchy. Low SSS is associated with several mental health impairments. The aim of this cross-sectional study was to examine if unemployed individuals report lower SSS in Germany (national SSS) and lower SSS in their social community (local SSS) than employed individuals. Moreover, the relationship between unemployment, SSS, and mental health was examined.Patients and methods113 unemployed and 1117 employed individuals from a representative German panel provided information on their national and local SSS, their monthly income and their mental health. SSS was assessed with the German version of the MacArthur Scales. Mental health was measured using the mental component scale (MCS) of the SF-12.ResultsUnemployed individuals reported significantly lower national SSS, local SSS and mental health compared to employed participants. Mediational analyses suggest that the negative effect of employment status on mental health was explained via a reduction of national SSS. Local SSS did not mediate the association of employment status and mental health.ConclusionUnemployment is associated with lower SSS and reduced mental health. The perceived position relative to others in the country (ie, national SSS) mediates the association between employment status and mental health.
| S-EPMC6664150 | biostudies-literature
Project description:ObjectiveTo examine the relationship between Social Security Disability Insurance (SSDI) enrollment and health care employment.Data sourcesState-year level data from government and other publicly available sources for all states (2000-2014).Study designPopulation-weighted linear regression analyses model associations between each health care employment measure and each SSDI enrollment measure (i.e., SSDI overall, physical, or mental health enrollment rates), controlling for factors associated with health care employment, state fixed effects, and secular time trends.Data collectionData are gathered from publicly available sources.Principal findingsA one standard deviation increase in SSDI enrollment per 100,000 population is associated with a statistically significant 2.6 and 4.5 percent increase in the mean employment rate per 100,000 population for health care practitioner and technical occupations and health care support occupations, respectively. The size of this relationship varies by the type of disabling condition for SSDI enrollment (physical versus mental health).ConclusionsSocial Security Disability Insurance enrollment is significantly associated with health care employment at the state level. Quantifying the magnitude of this relationship is important given high SSDI enrollment rates as well as evolving policy and demographic shifts related to the SSDI program.
| S-EPMC6051978 | biostudies-literature
Project description:BackgroundThe association between unmet social needs (e.g., food insecurity) and adverse health outcomes is well-established, especially for patients with and at risk for cardiovascular disease (CVD). This has motivated healthcare systems to focus on unmet social needs. Yet, little is known about the mechanisms by which unmet social needs impact health, which limits healthcare-based intervention design and evaluation. One conceptual framework posits that unmet social needs may impact health by limiting care access, but this remains understudied.ObjectiveExamine the relationship between unmet social needs and care access.DesignCross-sectional study design using survey data on unmet needs merged with administrative data from the Veterans Health Administration (VA) Corporate Data Warehouse (September 2019-March 2021) and multivariable models to predict care access outcomes. Pooled and separate rural and urban logistic regression models were utilized with adjustments from sociodemographics, region, and comorbidity.SubjectsA national stratified random sample of VA-enrolled Veterans with and at risk for CVD who responded to the survey.Main measuresNo-show appointments were defined dichotomously as patients with one or more missed outpatient visits. Medication non-adherence was measured as proportion of days covered and defined dichotomously as adherence less than 80%.Key resultsGreater burden of unmet social needs was associated with significantly higher odds of no-show appointments (OR = 3.27, 95% CI = 2.43, 4.39) and medication non-adherence (OR = 1.59, 95% CI = 1.19, 2.13), with similar associations observed for rural and urban Veterans. Social disconnection and legal needs were especially strong predictors of care access measures.ConclusionsFindings suggest that unmet social needs may adversely impact care access. Findings also point to specific unmet social needs that may be especially impactful and thus might be prioritized for interventions, in particular social disconnection and legal needs.
| S-EPMC10356706 | biostudies-literature
Project description:ObjectiveTo describe social needs among low-income adults and estimate the relationship between level of unmet social needs and key indicators of health care access and quality.Data sourceNational survey data from 12 states from the 2017 Behavioral Risk Factor Surveillance System, which added a "Social Determinants of Health" Module in 2017.Study designWe examined differences in eight measures of health care access and quality (eg, check-up in last 12 months, inability to see doctor due to cost, receipt of eye examination for diabetics) for low-income adults with 0, 1, 2-3, and 4+ unmet social needs based on 7 social needs measures. We used adjusted logistic regression models to estimate the association between level of unmet need and each outcome.Principal findingsMost common unmet social needs included not having enough money for balanced meals (33 percent) or food (32 percent). After adjusting for observable characteristics, higher levels of unmet social need were associated with poorer access and quality. Compared to those with no reported unmet needs, having 4+ unmet needs was significantly associated with reduced probability of having a yearly check-up (65 percent vs 78 percent, adjusted difference = -7.1 percentage points (PP)), receiving a flu vaccine (33 percent vs 42 percent, adjusted difference = -5.4 PP), having a personal doctor (74 percent vs 80 percent, adjusted difference = -3.1 PP), and having a foot (63 percent vs 80 percent, adjusted difference = -12.8 PP) or eye examination (61 percent vs 73 percent, adjusted difference = -12.6 PP) for diabetic patients, and increased probability of being unable to see a doctor due to cost (44 percent vs 9 percent, adjusted difference = 27.9 PP) and having diabetes affect the eyes (22 percent vs 19 percent, adjusted difference = 8.0 PP) at α = 0.05.ConclusionsHigher levels of unmet social needs were associated with poorer access to and quality of care among low-income adults. Addressing social needs both inside and outside of health care settings may help mitigate these negative effects. Additional research on if and how to effectively do so is critical.
| S-EPMC7518813 | biostudies-literature