Reading between the lines: Infertility and current health insurance policies in the US

2014 ◽  
Vol 9 (4) ◽  
pp. 127-134 ◽  
Author(s):  
Cristina Richie

Medical coverage is budgetary instrument with which individuals are shielded against catastrophic financial weight emerging from unforeseen disease or damage. Having a well working protection system ensures pooling of assets to cover dangers. The medical coverage segment in India is in a beginning stage and a mere 9% of the complete populace is secured under any plan of medical coverage since Health Insurance policies are administrations and henceforth elusive in nature. So there is no prompt shot of acknowledging the services whether fortunate or unfortunate. Indian Insurance Industry has encountered a swelling impact after globalization and the progression of the economy. After the financial advancement, the paradigm changed from focal arranging, direction and control to showcase driven improvement. The level of buying of medical coverage shifts from individual to individual. It relies on numerous variables. The elements can be classified into individual, social, financial, mental and friends related factors. On the off chance that the health insurance business wishes to pull its weight in forming this immense market, it needs to examine the major factors impacting the buy of medical coverage arrangements, With rivalry developing perpetually, insurers need to be in the nonstop procedure of item advancement concoct inventive approaches to contribute toward actualizing the administration's need of offering medical coverage to poor. The current health insurance projects required considerable changes to make them increasingly effective and socially helpful.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
De-Chih Lee ◽  
Hailun Liang ◽  
Leiyu Shi

Abstract Objective This study applied the vulnerability framework and examined the combined effect of race and income on health insurance coverage in the US. Data source The household component of the US Medical Expenditure Panel Survey (MEPS-HC) of 2017 was used for the study. Study design Logistic regression models were used to estimate the associations between insurance coverage status and vulnerability measure, comparing insured with uninsured or insured for part of the year, insured for part of the year only, and uninsured only, respectively. Data collection/extraction methods We constructed a vulnerability measure that reflects the convergence of predisposing (race/ethnicity), enabling (income), and need (self-perceived health status) attributes of risk. Principal findings While income was a significant predictor of health insurance coverage (a difference of 6.1–7.2% between high- and low-income Americans), race/ethnicity was independently associated with lack of insurance. The combined effect of income and race on insurance coverage was devastating as low-income minorities with bad health had 68% less odds of being insured than high-income Whites with good health. Conclusion Results of the study could assist policymakers in targeting limited resources on subpopulations likely most in need of assistance for insurance coverage. Policymakers should target insurance coverage for the most vulnerable subpopulation, i.e., those who have low income and poor health as well as are racial/ethnic minorities.


2021 ◽  
pp. 103985622110300
Author(s):  
Jeffrey CL Looi ◽  
Stephen R Kisely ◽  
Tarun Bastiampillai ◽  
William Pring ◽  
Stephen Allison

Objective: To provide a clinical update on private health insurance in Australia and outline developments in US-style managed care that are likely to affect psychiatric and other specialist healthcare. We explain aspects of the US health system, which has resulted in a powerful and profitable private health insurance sector, and one of the most expensive and inefficient health systems in the world, with limited patient choice in psychiatric treatment. Conclusions: Australian psychiatrists should be aware of changes to private health insurance that emphasise aspects of managed care such as selective contracting, cost-cutting or capitation of services. These approaches may limit access to private hospital care and diminish the autonomy of patients and practitioners in choosing the most appropriate treatment. Australian patients, carers and practitioners need to be informed about the potential impact of private managed care on patient-centred evidence-based treatment.


2016 ◽  
Vol 4 (1) ◽  
pp. 83 ◽  
Author(s):  
Jiang Li ◽  
Annette E. Maxwell ◽  
Beth A. Glenn ◽  
Alison K. Herrmann ◽  
L Cindy Chang ◽  
...  

The literature suggests that Korean Americans underutilize health services. Cultural factors and language barriers appear to influence this pattern of low utilization but studies on the relationships among length of stay in the US, English use and proficiency, and utilization of health services among Korean Americans have yielded inconsistent results. This study examines whether English language use and proficiency plays a mediating role in the relationships between length of stay in the US and health insurance coverage, access to and use of care. Structural equation modeling was used for mediation analysis with multiple dependent variables among Korean Americans (N= 555) using baseline data from a large trial designed to increase Hepatitis B testing. The results show 36% of the total effect of proportion of lifetime in the US on having health insurance was significantly mediated by English use and proficiency (indirect effect =0.166, SE= 0.07, p<.05; direct effect=0.296, SE= 0.13, p<.05). Proportion of lifetime in the US was not associated with usual source of care and health service utilization. Instead, health care utilization was primarily driven by having health insurance and a usual source of care, further underscoring the importance of these factors. A focus on increasing English use and proficiency and insurance coverage among older, female, less educated Korean Americans has the potential to mitigate health disparities associated with reduced access to health services in this population.


2016 ◽  
Vol 4 (2) ◽  
pp. 282-287 ◽  
Author(s):  
Lisa M. Lapeyrouse ◽  
Patricia Y. Miranda ◽  
Osvaldo F. Morera ◽  
Josiah McC. Heyman ◽  
Hector G. Balcazar

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Bethany Doran ◽  
Yu Guo ◽  
Jinfeng Xu ◽  
Sripal Bangalore

Introduction: Under the provisions of the Affordable Care Act, insurance coverage will markedly increase with the Congressional Budgetary Office estimating the number of insured to increase by approximately 13 million in 2014 and 25 million in 2016. However, approximately 31 million non-elderly US citizens are expected to remain without health insurance in 2016. Acute myocardial infarction (AMI) remains a source of significant morbidity and mortality, as well as cost to society. No prior studies have examined temporal rates of uninsured among patients presenting with an AMI using a nationally representative database. Hypothesis: We tested the hypothesis that the proportion of uninsured individuals with AMI and cost of uninsured to society will vary by year. Methods: We used the Nationwide Inpatient Sample (NIS), which contains estimates from approximately 8 million hospital visits and information related to number of discharges, aggregate charges, and principal diagnoses of all patients discharged in the US. We calculated the percentage of acute myocardial infarction by insurance status, and the sum of all charges of hospital stays in the US adjusted for inflation. Results: The cost to society due to acute myocardial infarction in the uninsured increased substantially from 1997 to 2012, with total cost in 1997 of $852,596,272 and $3,446,893,954 in 2012 after adjustment for inflation. In addition, although rates of AMI decreased in the general population (from 268.6/100,000 individuals in 1997 to 193.8/100,000 individuals in 2012), the proportion of individuals with AMI who were uninsured increased (from 3.83% in 1997 to 7.37% in 2012). Conclusions: The proportion of those experiencing AMI who are uninsured is rising, as is cost to society. It remains to be seen what the effects of expanding health insurance will have on the rate of AMI as well as proportion of AMI represented by the uninsured.


Author(s):  
Amavey Tamunobarafiri ◽  
Shaun Aghili ◽  
Sergey Butakov

Cloud computing has been massively adopted in healthcare, where it attracts economic, operational, and functional advantages beneficial to insurance providers. However, according to Identity Theft Resource Centre, over twenty-five percent of data breaches in the US targeted healthcare. The HIPAA Journal reported an increase in healthcare data breaches in the US in 2016, exposing over 16 million health records. The growing incidents of cyberattacks in healthcare are compelling insurance providers to implement mitigating controls. Addressing data security and privacy issues before cloud adoption protects from monetary and reputation losses. This article provides an assessment tool for health insurance providers when adopting cloud vendor solutions. The final deliverable is a proposed framework derived from prominent cloud computing and governance sources, such as the Cloud Security Alliance, Cloud Control Matrix (CSA, CCM) v 3.0.1 and COBIT 5 Cloud Assurance.


BMJ ◽  
2020 ◽  
pp. m3781
Author(s):  
Joanne Silberner
Keyword(s):  

2020 ◽  
Vol 4 (s1) ◽  
pp. 31-32
Author(s):  
Alexander J Layden ◽  
Janet Catov

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.


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