scholarly journals Underinsurance Among Children in the United States

PEDIATRICS ◽  
2021 ◽  
Author(s):  
Justin Yu ◽  
James M. Perrin ◽  
Thomas Hagerman ◽  
Amy J. Houtrow

OBJECTIVES: We describe the change in the percentage of children lacking continuous and adequate health insurance (underinsurance) from 2016 to 2019. We also examine the relationships between child health complexity and insurance type with underinsurance. METHODS: Secondary analysis of US children in the National Survey of Children’s Health combined 2016–2019 dataset who had continuous and adequate health insurance. We calculated differences in point estimates, with 95% confidence intervals (CIs), to describe changes in our outcomes over the study period. We used multivariable logistic regression adjusted for sociodemographic characteristics and examined relationships between child health complexity and insurance type with underinsurance. RESULTS: From 2016 to 2019, the proportion of US children experiencing underinsurance rose from 30.6% to 34.0% (+3.4%; 95% CI, +1.9% to +4.9%), an additional 2.4 million children. This trend was driven by rising insurance inadequacy (24.8% to 27.9% [+3.1%; 95% CI, +1.7% to +4.5%]), which was mainly experienced as unreasonable out-of-pocket medical expenses. Although the estimate of children lacking continuous insurance coverage rose from 8.1% to 8.7% (+0.6%), it was not significant at the 95% CI (−0.5% to +1.7%). We observed significant growth in underinsurance among White and multiracial children, children living in households with income ≥200% of the federal poverty limit, and those with private health insurance. Increased child health complexity and private insurance were significantly associated with experiencing underinsurance (adjusted odds ratio, 1.9 and 3.5, respectively). CONCLUSIONS: Underinsurance is increasing among US children because of rising inadequacy. Reforms to the child health insurance system are necessary to curb this problem.

2009 ◽  
Vol 23 (4) ◽  
pp. 25-48 ◽  
Author(s):  
Jonathan Gruber ◽  
Helen Levy

How has the economic risk of health spending changed over time for U.S. households? We describe trends in aggregate health spending in the United States and how private insurance markets and public insurance programs have changed over time. We then present evidence from Consumer Expenditure Survey microdata on how the distribution of household spending on health—that is, out-of-pocket payments for medical care plus the household's share of health insurance premiums—has changed over time. This distribution has shifted up over time—households spend more on medical care and insurance than they used to—but for the purposes of measuring change in risk, it is not the mean but the dispersion of this distribution that is of interest. We consider two measures of dispersion that serve as proxies for household risk: the standard deviation of the distribution of household health spending and the ratio of the 90th percentile of spending to the median (the so-called “90/50 gap”). We find, surprisingly, that neither has increased despite the rapid rise in aggregate health spending. This conclusion holds true for broad subgroups of the population (for example, the nonelderly as a group) but not for some narrowly-defined subgroups (for example, low-income families with children). We next consider how much risk households should face, from the perspective of economic efficiency. Household risk may not have changed much over the past several decades, but do we have any evidence that this level represents either too much or too little risk? Finally, we discuss implications for public policy—in particular, for current debates over expanding health insurance coverage to the uninsured.


1992 ◽  
Vol 8 (3) ◽  
pp. 270-286
Author(s):  
E. Richard Brown

A nearly universal consensus has developed in the United States that the current health care financing system is a failure. The system has been unable to control the continuing rapid rise in health care costs (by far, the highest in the world), and it has been unable to stem the growing population that has no health insurance coverage (at least 36 million people). There is nearly universal political agreement that government must provide health insurance to a far greater share of the population than ever before. The political debate now focuses on whether this expanded government role should supplement the private insurance system with an enlarged public program covering those left out of private insurance coverage, or replace private insurance with a universal government health insurance program covering the entire population.


PEDIATRICS ◽  
1985 ◽  
Vol 76 (4) ◽  
pp. 495-507 ◽  
Author(s):  
John A. Butler ◽  
William D. Winter ◽  
Judith D. Singer ◽  
Martha Wenger

Good access to health care for all US children and youth remains an important social policy goal. Recent patterns of access as reflected in the presence of regular care sources, health care use, health insurance coverage, and expenditures for medical care are described and analyzed using the subsample of all children 0 to 18 years of age from the 1980 National Medical Care Utilization and Expenditure Survey. Data from the survey indicate that in 1980, 92% of US children and youth had a regular care source and the same percentage were covered for the full year or part of the year by some form of public or private health insurance. However, use rates and patterns of expenditure continued to differ dramatically according to family background factors, particularly race, ethnicity, poverty status, and location of residence. These differences are analyzed and comparative data are presented for groups of children from various sociodemographic groups. Minority-group and near-poor children were found to be at highest risk for limited utilization of services and inadequate insurance coverage.


2018 ◽  
Vol 6 (4) ◽  
pp. 232596711876335 ◽  
Author(s):  
Miranda J. Rogers ◽  
Ian Penvose ◽  
Emily J. Curry ◽  
Anthony DeGiacomo ◽  
Xinning Li

Background: In the senior author’s (X.L.) orthopaedic sports medicine clinic in the United States (US), patients appear to have difficulty finding physical therapy (PT) practices that accept Medicaid insurance for postoperative rehabilitation. Purpose: To determine access to PT services for privately insured patients versus those with Medicaid who underwent anterior cruciate ligament (ACL) reconstruction in the largest metropolitan area in the state of Massachusetts, which underwent Medicaid expansion as part of the Affordable Care Act. Study Design: Cross-sectional study. Methods: Locations offering PT services were identified through Google, Yelp, and Yellow Pages internet searches. Each practice was contacted and queried about health insurance type accepted (Medicaid [public] vs Blue Cross Blue Shield [private]) for postoperative ACL reconstruction rehabilitation. Additional data collection points included time to first appointment, reason for not accepting insurance, and ability to refer to a location accepting insurance type. Median income and percentage of households living in poverty were also noted through US Census data for the town in which the practice was located. Results: Of the 157 PT locations identified, contact was made with 139 to achieve a response rate of 88.5%. Overall, 96.4% of practices took private insurance, while 51.8% accepted Medicaid. Among those locations that did not accept Medicaid, only 29% were able to refer to a clinic that would accept it. “No contract” was the most common reason why Medicaid was not accepted (39.4%). Average time to first appointment was 5.8 days for privately insured patients versus 8.4 days for Medicaid patients ( P = .0001). There was no significant difference between clinic location (town median income or poverty level) and insurance type accepted. Conclusion: The study results reveal that 43% fewer PT clinics accept Medicaid as compared with private insurance for postoperative ACL reconstruction rehabilitation in a large metropolitan area. Furthermore, Medicaid patients must wait significantly longer for an initial appointment. Access to PT care is still limited despite the expansion of Medicaid insurance coverage to all patients in the state.


2013 ◽  
Vol 97 ◽  
pp. 15-19 ◽  
Author(s):  
Juyang Xiong ◽  
David Hipgrave ◽  
Karoline Myklebust ◽  
Sufang Guo ◽  
Robert W. Scherpbier ◽  
...  

Author(s):  
Sean Mahoney ◽  
Adam Bradley ◽  
Logan Pitts ◽  
Stephanie Waletzko ◽  
Sheria G. Robinson-Lane ◽  
...  

Over a third of adults in the United States have prediabetes, and many of those with prediabetes will progress to type 2 diabetes within 3–5 years. Health insurance status may factor into a proper diagnosis of prediabetes and diabetes. This study sought to determine the associations between health insurance and undiagnosed prediabetes and diabetes in a national sample of American adults. Publicly available data from 13,029 adults aged 18–64 years from the 2005–2016 waves of the National Health and Nutrition Examination Survey were analyzed. Health insurance type (Medicaid, Private, Other, None) was self-reported. Prediabetes and diabetes status were assessed with measures of self-report, glycohemoglobin, fasting plasma glucose, and two-hour glucose. Covariate-adjusted logistic models were used for the analyses. Overall, 5976 (45.8%) participants had undiagnosed prediabetes, while 897 (6.8%) had undiagnosed diabetes. Having health insurance was associated with decreased odds ratios for undiagnosed prediabetes: 0.87 (95% confidence interval (CI: 0.79, 0.95)) for private insurance, 0.84 (CI: 0.73, 0.95) for other insurance, and 0.78 (CI: 0.67, 0.90) for Medicaid. Moreover, having private health insurance was associated with 0.82 (CI: 0.67, 0.99) decreased odds for undiagnosed diabetes. Health insurance coverage and screening opportunities for uninsured individuals may reduce prediabetes and diabetes misclassifications.


2020 ◽  
Vol 42 (5_suppl) ◽  
pp. 92S-97S
Author(s):  
P Lakshmi Nirisha ◽  
Srinagesh Mannekote Thippaiah ◽  
Rachel E. Fargason ◽  
Barikar C Malathesh ◽  
Narayana Manjunatha ◽  
...  

Telepsychiatry is a cost-effective alternative to in-person psychiatric consultations. The COVID-19 pandemic brought about a sharp spike in the utilization of telepsychiatry due to ongoing restrictions on gatherings and traveling. In recognition of the importance of telemedicine in general, and telepsychiatry specifically, telemedicine practice guidelines and telepsychiatry operational guidelines have been released. Due to the rising trend in telemedicine, the Insurance Regulatory and Development Authority of India (IRDIA) incorporated teleconsultation health insurance coverage at a level on par with regular in-person consultations. In contrast, in the United States of America, private insurance coverage for telepsychiatry has been in vogue for some time. In this paper we draw comparisons between India and the United States on telepsychiatry and health insurance. We compare the evolving regulatory policies of these two countries in relation to existing insurances plans that are available, the challenges in implementation of new regulations and the possible ways to overcome the challenges to make telepsychiatry affordable to all.


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