scholarly journals Exploring Characteristics and Health Care Utilization Trends Among Individuals Who Fall in the Health Insurance Assistance Gap in a Medicaid Nonexpansion State

2017 ◽  
Vol 18 (4) ◽  
pp. 206-214 ◽  
Author(s):  
Jean Edward ◽  
Nageen Mir ◽  
Denise Monti ◽  
Enbal Shacham ◽  
Mary C. Politi

States that did not expand Medicaid under the Affordable Care Act (ACA) in the United States have seen a growth in the number of individuals who fall in the assistance gap, defined as having incomes above the Medicaid eligibility limit (≥44% of the federal poverty level) but below the lower limit (<100%) to be eligible for tax credits for premium subsidies or cost-sharing reductions in the marketplace. The purpose of this article is to present findings from a secondary data analysis examining the characteristics of those who fell in the assistance gap ( n = 166) in Missouri, a Medicaid nonexpansion state, by comparing them with those who did not fall in the assistance gap ( n = 157). Participants completed online demographic questionnaires and self-reported measures of health and insurance status, health literacy, numeracy, and health insurance literacy. A select group completed a 1-year follow-up survey about health insurance enrollment and health care utilization. Compared with the nonassistance gap group, individuals in the assistance gap were more likely to have lower levels of education, have at least one chronic condition, be uninsured at baseline, and be seeking health care coverage for additional dependents. Individuals in the assistance gap had significantly lower annual incomes and higher annual premiums when compared with the nonassistance gap group and were less likely to be insured through the marketplace or other private insurance at the 1-year follow-up. Findings provide several practice and policy implications for expanding health insurance coverage, reducing costs, and improving access to care for underserved populations.

Author(s):  
Krista M. Perreira ◽  
Chenoa D. Allen ◽  
Jonathan Oberlander

Health insurance gives families access to medical services and protects them against the costs of illness and medical treatment. Insured children are more likely than their uninsured peers to use medical services, preventive health services, have a usual source of care, and have fewer unmet medical needs. In this article, we review trends in health insurance coverage for Hispanic children and the factors that influence their coverage. We then discuss health care utilization among Hispanic children and barriers to health care utilization. We conclude with a discussion of strategies to improve Hispanic children’s health care access in the age of COVID-19.


2020 ◽  
Vol 75 (1) ◽  
pp. 148-150 ◽  
Author(s):  
Andrea L. Oliverio ◽  
Lindsay K. Admon ◽  
Laura H. Mariani ◽  
Tyler N.A. Winkelman ◽  
Vanessa K. Dalton

2021 ◽  
pp. 108482232110013
Author(s):  
Tami M. Videon ◽  
Robert J. Rosati ◽  
Steven H. Landers

COVID-19 patients represent a new and distinct population in home health care. Little is known about health care utilization and incremental improvements in health for recovering COVID-19 patients after admission to home health care. Using a retrospective observational cohort study of 5452 episodes of home health care admitted to a New Jersey Home Health Agency between March 15 and May 31, 2020, this study describes COVID-19 Home Health Care (HHC) patients ( n = 842) and compare them to the general HHC population ( n = 4610). COVID HHC patients differ in significant ways from the typical HHC population. COVID patients were more likely to be 65 years of age and younger (41% vs 26%), be from a racial/ethnic minority (60% vs 31%), live with another person (85% vs 76%), have private insurance (28% vs 16%), and began HHC with greater independence in activities-of-daily-living (ADL/IADLs). COVID patients received fewer overall visits than their non-COVID counterparts (11.7 vs 16.3), although they had significantly more remote visits (1.7 vs 0.3). Multivariate analyses show that COVID patients early in the pandemic were 34% (CI, 28%-40%) less likely to be hospitalized and demonstrated significantly greater improvement in all the outcome measures examined compared to the general home health population.


Respirology ◽  
2014 ◽  
Vol 20 (2) ◽  
pp. 279-285 ◽  
Author(s):  
Farida F. Berkhof ◽  
Jan W.K. van den Berg ◽  
Steven M. Uil ◽  
Huib A.M. Kerstjens

2018 ◽  
Vol 3 (1) ◽  
pp. 238146831878109 ◽  
Author(s):  
Mary C. Politi ◽  
Enbal Shacham ◽  
Abigail R. Barker ◽  
Nerissa George ◽  
Nageen Mir ◽  
...  

Objective. Numerous electronic tools help consumers select health insurance plans based on their estimated health care utilization. However, the best way to personalize these tools is unknown. The purpose of this study was to compare two common methods of personalizing health insurance plan displays: 1) quantitative healthcare utilization predictions using nationally representative Medical Expenditure Panel Survey (MEPS) data and 2) subjective-health status predictions. We also explored their relations to self-reported health care utilization. Methods. Secondary data analysis was conducted with responses from 327 adults under age 65 considering health insurance enrollment in the Affordable Care Act (ACA) marketplace. Participants were asked to report their subjective health, health conditions, and demographic information. MEPS data were used to estimate predicted annual expenditures based on age, gender, and reported health conditions. Self-reported health care utilization was obtained for 120 participants at a 1-year follow-up. Results. MEPS-based predictions and subjective-health status were related ( P < 0.0001). However, MEPS-predicted ranges within subjective-health categories were large. Subjective health was a less reliable predictor of expenses among older adults (age × subjective health, P = 0.04). Neither significantly related to subsequent self-reported health care utilization ( P = 0.18, P = 0.92, respectively). Conclusions. Because MEPS data are nationally representative, they may approximate utilization better than subjective health, particularly among older adults. However, approximating health care utilization is difficult, especially among newly insured. Findings have implications for health insurance decision support tools that personalize plan displays based on cost estimates.


2003 ◽  
Vol 93 (10) ◽  
pp. 1740-1747 ◽  
Author(s):  
Jacqueline W. Lucas ◽  
Daheia J. Barr-Anderson ◽  
Raynard S. Kington

2014 ◽  
Vol 28 (1) ◽  
pp. 71-79 ◽  
Author(s):  
Jongwha Chang ◽  
Gary L. Freed ◽  
Lisa A. Prosser ◽  
Isha Patel ◽  
Steven R. Erickson ◽  
...  

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