scholarly journals Is the self-reported private health insurance status in the National Health Survey representative of private health insurance coverage in Australia?

2010 ◽  
Vol 34 (6) ◽  
pp. 572-577
Author(s):  
Geetha Ranmuthugala ◽  
Laurie Brown ◽  
Linc Thurecht ◽  
Sharyn Lymer
Keyword(s):  
Health Insurance ◽  
National Health ◽  
Health Survey ◽  
Private Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
National Health Survey ◽  
The Self ◽  
Insurance Status ◽  
Health Insurance Status

scholarly journals Association Between Health Insurance and Race With Mortality From Trauma: a Retrospective Study

2021 ◽  
Author(s):  
Ibrahim Gwarzo ◽  
Maria Perez-Patron ◽  
Xiaohui Xu ◽  
Tiffany Radcliff ◽  
Jennifer Horney
Keyword(s):  
Health Insurance ◽  
Trauma Registry ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Registry Data ◽  
Insurance Status ◽  
Health Insurance Status ◽  
Trauma Mortality ◽  
Race Ethnicity ◽  
Related Mortality

Abstract Background: The population health implications of the growing burden of trauma-related mortality may be influenced by access to health insurance coverage, and demographic characteristics such as race and ethnicity. We investigated the effects of health insurance status and race/ethnicity on the risk of mortality among trauma victims in Texas.Methods: Using Texas trauma registry data from 2014 - 2016, we categorized health insurance coverage into private, public, and uninsured, and categorized patients with serious injuries into Non-Hispanic Whites, Non-Hispanic Blacks, Hispanics Any-Race, and Others. Multivariate logistic regression was used to estimate the effects of health insurance status and race/ethnicity on mortality, controlling for age, gender, severity of the trauma, cause of trauma, presence of comorbid conditions, trauma center designation, presence of a traumatic brain injury (TBI), and severity of a TBI. Results: From January 1, 2014, to December 31, 2016, there were 415,159 trauma cases in Texas; 8,827 (2.1%) were fatal. Among patients with at least a moderate injury, 24, 606 (17.4%) were uninsured, and 98, 237 (69.4%) identified as Non-Hispanic White. In the multivariate analysis, Hispanics of any race and Non-Hispanic Blacks had higher adjusted odds of trauma mortality compared to Non-Hispanic Whites [ORHispanics= 1.25: 95% CI (1.16 – 1.36)] [ORBlacks= 2.11: 95% CI (1.87 – 2.37)]. Similarly, compared to privately insured, uninsured patients had 86% higher odds of trauma-related death [OR= 1.86: 95% CI (1.66 – 2.05)]. The effects of lack of health insurance on trauma mortality varied across race/ethnicity of the victims; uninsured Non-Hispanic Blacks had disproportionately higher adjusted odds of trauma mortality than uninsured Whites. Conclusion: Using Texas trauma registry data, we found significant disparities in trauma-related mortality risk based on race/ethnicity and health insurance coverage. The identification of trauma mortality inequalities could inform the design and implementation of future public health interventions.

scholarly journals Early detection of breast cancer in Brazil: data from the National Health Survey, 2013

2017 ◽  
Vol 51 (suppl 1) ◽  
Author(s):  
Gulnar Azevedo e Silva ◽  
Paulo Roberto Borges de Souza-Júnior ◽  
Giseli Nogueira Damacena ◽  
Célia Landmann Szwarcwald
Keyword(s):  
Breast Cancer ◽  
Health Insurance ◽  
Early Detection ◽  
National Health ◽  
Health Survey ◽  
Private Health Insurance ◽  
Mammographic Screening ◽  
National Health Survey ◽  
Unified Health System ◽  
Barriers To Access

ABSTRACT OBJECTIVE To analyze whether the actions of early detection of breast cancer, initiated with the medical request for mammography, differ between users of the Brazilian Unified Health System (SUS) and those who have private health insurance. METHODS From the data collected in the National Health Survey, we estimated the proportions of women who had medical request for mammography according to presence or absence of private health insurance. For assessing the factors related to having mammography medical request, we estimated crude and adjusted odds ratios and respective 95%CI by logistic regression. We also analyzed the main reasons reported for not having performed mammography after medical request, as well as the time between examination and result. RESULTS Of the women interviewed, 66.7% had a medical request for mammography (59.4% among SUS users and 83.9% among those with private health insurance). Having private health insurance, higher education level, and being white were positively associated with having the medical request. Only 5.4% (95%CI 4.8–6.0) of women who received medical request failed to perform mammography – 7.6% were SUS users and 1.7% had health insurance. The most reported reasons for not being able to perform the examination were: not thinking it was necessary; having the test scheduled, but not yet performed; and not being able to schedule it. More than 70% of women received the result with less than one month from its execution. CONCLUSIONS The barriers to access a medical request for mammographic screening for breast cancer are higher among women who depend exclusively on SUS.

Health Insurance Coverage of Adolescents: A Current Profile and Assessment of Trends

PEDIATRICS ◽  
1992 ◽  
Vol 90 (4) ◽  
pp. 589-596
Author(s):  
Paul W. Newacheck ◽  
Margaret A. McManus ◽  
Joann Gephart
Keyword(s):  
Health Insurance ◽  
National Health ◽  
National Health Interview Survey ◽  
Private Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Health Interview Survey ◽  
Health Interview ◽  
Interview Survey ◽  
Publicly Insured

Data from the National Health Interview Survey reveal that 4.7 million or 15% of US adolescents aged 10 through 18 were uninsured in 1989. Among adolescents, 73% were privately insured, 10% were publicly insured, and 2% were both privately and publicly insured. Poor, near-poor, and minority adolescents were at the greatest risk for lack of health insurance coverage. Among adolescents without insurance, cost continued to be cited as the leading barrier to obtaining coverage. A comparison of 1989 National Health Interview Survey data with a previous analysis, in which 1984 data were used, revealed a 10% increase in the proportion of adolescents without insurance coverage. The increase in the proportion of uninsured adolescents was entirely attributable to an erosion of private health insurance coverage. No significant change occurred in the proportion of adolescents with coverage under public programs. Planned expansions of the federally and state-financed Medicaid programs will help to stem further increases in the size of the uninsured adolescent population. However, unless marked improvements occur in the private health insurance sector, progress will be limited.

scholarly journals Health Insurance Coverage before and after the Affordable Care Act in the USA

Sci ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 25
Author(s):  
Jesse Patrick ◽  
Philip Q. Yang
Keyword(s):  
Health Insurance ◽  
National Health ◽  
Affordable Care Act ◽  
The United States ◽  
Insurance Status ◽  
Health Insurance Status ◽  
Full Implementation ◽  
Before And After ◽  
The Affordable Care Act ◽  
Partial Implementation

The Affordable Care Act (ACA) is at the crossroads. It is important to evaluate the effectiveness of the ACA in order to make rational decisions about the ongoing healthcare reform, but existing research into its effect on health insurance status in the United States is insufficient and descriptive. Using data from the National Health Interview Surveys from 2009 to 2015, this study examines changes in health insurance status and its determinants before the ACA in 2009, during its partial implementation in 2010–2013, and after its full implementation in 2014 and 2015. The results of trend analysis indicate a significant increase in national health insurance rate from 82.2% in 2009 to 89.4% in 2015. Logistic regression analyses confirm the similar impact of age, gender, race, marital status, nativity, citizenship, education, and poverty on health insurance status before and after the ACA. Despite similar effects across years, controlling for other variables, youth aged 26 or below, the foreign-born, Asians, and other races had a greater probability of gaining health insurance after the ACA than before the ACA; however, the odds of obtaining health insurance for Hispanics and the impoverished rose slightly during the partial implementation of the ACA, but somewhat declined after the full implementation of the ACA starting in 2014. These findings should be taken into account by the U.S. Government in deciding the fate of the ACA.

scholarly journals Private Health Insurance in Malaysia: Who Is Left Behind?

2021 ◽  
pp. 101053952110009
Author(s):  
Nur Zahirah Balqis-Ali ◽  
Jailani Anis-Syakira ◽  
Weng Hong Fun ◽  
Sondi Sararaks
Keyword(s):  
Health Insurance ◽  
Private Health Insurance ◽  
Home Ownership ◽  
Insurance Coverage ◽  
Binary Logistic Regression ◽  
Health Insurance Coverage ◽  
Rural Government ◽  
Lower Education Level ◽  
Current Drinker ◽  
Study Population

Despite various efforts introduced, private health insurance coverage is still low in Malaysia. The objective of this article is to find the factors associated with not having a private health insurance in Malaysia. We analyze data involving 19 959 respondents from the 2015 National Health Morbidity Survey. In this article, we describe the prevalence of not having health insurance and conducted binary logistic regression to identify determinants of uninsured status. A total of 56.6% of the study population was uninsured. After adjusting for other variables, the likelihood of being uninsured was higher among those aged 50 years and above, females, Malay/other Bumiputra ethnicities, rural, government/semigovernment, self-employed, unpaid workers and retirees, unemployed, lower education level, without home ownership and single/widowed/divorced, daily smoker, underweight body mass index, and current drinker. The likelihood of being uninsured also increased with increasing household size while the inversed trend was seen for household income. A substantial proportion of population in Malaysia did not have private health insurance, and these subgroups have limited preferential choices for provider, facility, and care.

scholarly journals Noncommunicable diseases and the use of health services: analysis of the National Health Survey in Brazil

2017 ◽  
Vol 51 (suppl 1) ◽  
Author(s):  
Deborah Carvalho Malta ◽  
Regina Tomie Ivata Bernal ◽  
Margareth Guimarães Lima ◽  
Silvânia Suely Caribé de Araújo ◽  
Marta Maria Alves da Silva ◽  
...  
Keyword(s):  
Higher Education ◽  
Health Insurance ◽  
Health Services ◽  
Sex Education ◽  
National Health ◽  
Health Survey ◽  
National Health Survey ◽  
Education Level ◽  
Noncommunicable Diseases ◽  
Use Of Health Services

ABSTRACT OBJECTIVE To assess whether sex, education level, and health insurance affect the use of health services among the adult Brazilian population with chronic noncommunicable diseases (NCD). METHODS Data from a cross-sectional survey were analyzed, the National Health Survey (PNS). Frequency of use of services in the population that referred at least one NCD were compared with the frequency from a population that did not report NCD, according to sex, education level, health insurance, and NCD number (1, 2, 3, 4, or more). The prevalence and prevalence ratios were calculated crude and adjusted for sex, age, region, and 95% confidence intervals. RESULTS The presence of a noncommunicable disease was associated with increase in hospitalizations in the last 12 months, in 1.7 times (95%CI 1.53–1.9). Failing to perform usual activities in the last two weeks for health reasons was 3.1 times higher in NCD carriers (95%CI 2.78–3.46); while the prevalence of medical consultation in the last 12 months was 1.26 times higher (95%CI 1.24–1.28). NCD carriers make more use of health services, as well as women, people with higher number of comorbidities, with health insurance, and higher education level. CONCLUSIONS NCD carriers make more use of health services, as well as women, people with higher number of comorbidities, with health insurance, and higher education level.

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