Health Insurance Coverage Questions, Public Health Surveys, and Drug Abuse

1991 ◽  
Author(s):  
William S. Cartwright ◽  
Albert M. Woodward
Keyword(s):  
Public Health ◽  
Health Insurance ◽  
Drug Abuse ◽  
Health Surveys ◽  
Insurance Coverage ◽  
Health Insurance Coverage

scholarly journals 4536 Identification of the most salient risk factors of preterm birth in the US using geospatial mapping

2020 ◽  
Vol 4 (s1) ◽  
pp. 31-32
Author(s):  
Alexander J Layden ◽  
Janet Catov
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Health Insurance ◽  
Preterm Birth ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
County Level ◽  
Obesity Prevalence ◽  
The Us ◽  
Geospatial Mapping

OBJECTIVES/GOALS: Preterm birth is the most common birth complication in the United States. To date, there are no effective public health strategies to reduce the burden of prematurity. Using geospatial information system (GIS) mapping, we identified the most salient risk factors of preterm birth across US counties targetable for future interventions. METHODS/STUDY POPULATION: Risk factors of preterm birth were identified from the perinatal health nonprofit organization, March of Dimes, and included factors such as obesity, smoking, insurance coverage and poverty. US 2013 county-level data on sociodemographic characteristics, behavioral risk factors and preterm birth were extracted and combined from the American Census, Center for Disease Control, and US Health Resources and Services Administration. Spatial autocorrelation and multivariate spatial regression were used to determine the risk factors most strongly associated with preterm birth. These models were adjusted for race, given well-documented race disparities for preterm birth. As a case-study comparison, we mapped risk factors in the two states with the highest and lowest proportion of preterm births in 2013. RESULTS/ANTICIPATED RESULTS: In our preliminary analysis, obesity was the factor most strongly associated with preterm birth (ß = 7.32, SE: 1.13, p<0.001) at the US county-level. Surprisingly, smoking was not found to be significantly associated with preterm birth. In 2013, Vermont had the lowest prevalence of preterm birth at 7.6% and Mississippi had the highest prevalence of preterm birth at 13.1%. Health insurance coverage and obesity were the two risk factors that differed between Vermont and Mississippi. The median proportion of uninsured individuals in Mississippi counties was four times higher than that of Vermont counties (26.3% vs 10.9%, p<0.01). Similarly, the median obesity prevalence in Mississippi counties was significantly higher than the median obesity prevalence in Vermont counties (38.8% vs. 25.2%). DISCUSSION/SIGNIFICANCE OF IMPACT: Public health efforts aimed at reducing obesity and increasing health insurance coverage may have the greatest impact at addressing the US burden of preterm birth. Further, geospatial mapping is a powerful analytic tool to identify regions in the US where preterm birth interventions would be most beneficial.

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 &lt; 0.01) and kept at an increasing level afterward (p &lt; 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 Understanding variations in health insurance coverage in Ghana, Kenya, Nigeria, and Tanzania: Evidence from demographic and health surveys

PLoS ONE ◽  
2018 ◽  
Vol 13 (8) ◽  
pp. e0201833 ◽  
Author(s):  
Hubert Amu ◽  
Kwamena Sekyi Dickson ◽  
Akwasi Kumi-Kyereme ◽  
Eugene Kofuor Maafo Darteh
Keyword(s):  
Health Insurance ◽  
Health Surveys ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Demographic And Health Surveys
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