What Happens to Children Who Lose Public Health Insurance Coverage?

2006 ◽  
Vol 63 (5) ◽  
pp. 623-635 ◽  
Author(s):  
Janet B. Mitchell ◽  
Susan G. Haber ◽  
Sonja Hoover
Keyword(s):  
Public Health ◽  
Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Public Health Insurance

scholarly journals Geographic variation in health insurance coverage : United States, 2019

2021 ◽  
Author(s):  
Robin A. Cohen ◽  
◽  
Emily P. Terlizzi ◽  
Amy E. Cha ◽  
Michael E. Martinez ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Health Insurance ◽  
Geographic Variation ◽  
Private Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Public Health Insurance ◽  
National Estimates ◽  
State Regional

This report presents state, regional, and national estimates of the percentage of persons who were uninsured, had private health insurance coverage, and had public health insurance coverage in 2019.

scholarly journals The Public Health Insurance Coverage of Novel Targeted Anticancer Medicines in China—In Favor of Whom? A Retrospective Analysis of the Insurance Claim Data

2021 ◽  
Vol 12 ◽  
Author(s):  
Mingshuang Li ◽  
Yifan Diao ◽  
Jianchun Ye ◽  
Jing Sun ◽  
Yu Jiang
Keyword(s):  
Public Health ◽  
Lung Cancer ◽  
Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Claim Data ◽  
Public Health Insurance ◽  
The Public ◽  
Supplementary Health Insurance ◽  
Insurance Claim Data

Objectives: This study took Fuzhou city as a case, described how the public health insurance coverage policy in 2016 of novel anti-lung cancer medicines benefited patients, and who benefited the most from the policy in China.Methods: This was a retrospective study based on health insurance claim data with a longitudinal analysis of the level and trend changes of the monthly number of patients to initiate treatment with the novel targeted anti-lung cancer medicines gefitinib and icotinib before and after health insurance coverage. The study also conducted a multivariate linear regression analysis to predict the potential determinants of the share of patient out-of-pocket (OOP) expenditure for lung cancer treatment with the study medicines.Results: The monthly number of the insured patients in Fuzhou who initiated the treatment with the studied novel targeted anti-lung cancer medication abruptly increased by 26 in the month of the health insurance coverage (95% CI: 14–37, p < 0.01) and kept at an increasing level afterward (p < 0.01). By controlling the other factors, the shares of OOP expenditure for lung cancer treatment of the patients who were formal employee program enrollees not entitled to government-funded supplementary health insurance coverage and resident program enrollees were 18.3% (95% CI: 14.1–22.6) and 26.7% (95% CI: 21.0–32.4) higher than that of the patients who were formal employee program enrollees with government-funded supplementary health insurance coverage.Conclusion: The public health insurance coverage of novel anti-lung cancer medicines benefited patients generally. To enable that patients benefit from this policy more equally and thoroughly, in order to achieve the policy goal of not to leave anyone behind, it is necessary to strengthen the benefits package of the resident program and to optimize the current financing mechanism of the public health insurance system.

scholarly journals Geographic Variation in Health Insurance Coverage: United States, 2020

2022 ◽  
Author(s):  
Emily Terlizzi ◽  
Robin Cohen
Keyword(s):  
Public Health ◽  
United States ◽  
Health Insurance ◽  
Geographic Variation ◽  
Private Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Public Health Insurance ◽  
National Estimates ◽  
State Regional

This report presents state, regional, and national estimates of the percentage of people who were uninsured, had private health insurance coverage, and had public health insurance coverage at the time of the interview.

scholarly journals Estimating Premium Sensitivity for Children's Public Health Insurance Coverage: Selection but No Death Spiral

2014 ◽  
Vol 50 (2) ◽  
pp. 579-598 ◽  
Author(s):  
James Marton ◽  
Patricia G. Ketsche ◽  
Angela Snyder ◽  
E. Kathleen Adams ◽  
Mei Zhou
Keyword(s):  
Public Health ◽  
Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Public Health Insurance ◽  
Death Spiral

Public Health Insurance, Labor Supply, and Employment Lock *

2014 ◽  
Vol 129 (2) ◽  
pp. 653-696 ◽  
Author(s):  
Craig Garthwaite ◽  
Tal Gross ◽  
Matthew J. Notowidigdo
Keyword(s):  
Public Health ◽  
Health Insurance ◽  
Labor Supply ◽  
Job Search ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Significant Degree ◽  
Public Health Insurance ◽  
Private Employer ◽  
State Variation

Abstract We study the effect of public health insurance on labor supply by exploiting a large public health insurance disenrollment. In 2005, approximately 170,000 Tennessee residents abruptly lost Medicaid coverage. Using both across- and within-state variation in exposure to the disenrollment, we estimate large increases in labor supply, primarily along the extensive margin. The increased employment is concentrated among individuals working at least 20 hours a week and receiving private, employer-provided health insurance. We explore the dynamic effects of the disenrollment and find an immediate increase in job search behavior and a steady rise in both employment and health insurance coverage following the disenrollment. Our results are consistent with a significant degree of “employment lock”—workers who are employed primarily to secure private health insurance coverage.

scholarly journals Effect of Health Insurance Program for the Poor on Out-Of-Pocket Inpatient Care Cost in India

2020 ◽  
Author(s):  
Shyamkumar Sri ◽  
Mahmud Khan
Keyword(s):  
Public Health ◽  
Health Insurance ◽  
Regression Model ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Public Health Insurance ◽  
The Poor ◽  
Insurance Program ◽  
Health Insurance Program ◽  
Duration Of Hospitalization

Abstract Background In India, Out-of-pocket expenses accounts for about 62.6% of total health expenditure - one of the highest in the world. Lack of health insurance coverage and inadequate coverage are important reasons for high out-of-pocket health expenditures. There are many Public Health Insurance Programs offered by the Government that cover the cost of hospitalization for the people below poverty line (BPL), but their coverage is still not complete. The objective of this research is to examine the effect of Public Health Insurance Programs for the Poor on hospitalizations and inpatient Out-of-Pocket costs. Methods Data from the recent national survey by the National Sample Survey Organization, Social Consumption in Health 2014 are used. Propensity score matching was used to identify comparable non-enrolled individuals for individuals enrolled in health insurance programs. Binary logistic regression model, Tobit model, and a Two-part model were used to study the effects of enrolment under Public Health Insurance Programs for the Poor on the incidence of hospitalizations. duration of hospitalization, and Out-of-Pocket payments for inpatient care respectively.Results There were 64,270 BPL people in the sample. Individuals enrolled in poor people health insurance program have 1.21 higher odds of incidence of hospitalization compared to matched poor individuals not having health insurance coverage. Enrollment under the poor people health insurance program did not have any effect on duration of hospitalization and inpatient Out-of-Pocket health expenditures. Logistic regression model showed that chronic illness, household size, and age of the individual had significant effects on hospitalization incidence. Tobit model results showed that individuals who had chronic illnesses and belonging to other backward social group had significant effects on duration of hospitalization. Two-part regression model showed that days of hospital stay, graduate level education, specific age groups, using a private hospital for treatment, admission in a paying ward, and having some specific ailments had significant positive effect on out-of-pocket costs. Conclusions Enrolment in the public health insurance programs for the poor increased the utilization of inpatient health care facilities. Health insurance coverage must be expanded to cover outpatient services, and the coverage must not be limited by the number of family members.

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