946 resultados para private health insurance


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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do Grau de mestre em Matemática e Aplicações

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The 1998 Spanish reform of the Personal Income Tax eliminated the 15% deduction for private medical expenditures including payments on private health insurance (PHI) policies. To avoid an undesirable increase in the demand for publicly funded health care, tax incentives to buy PHI were not completely removed but basically shifted from individual to group employer-paid policies. In a unique fiscal experiment, at the same time that the tax relief for individually purchased policies was abolished, the government provided for tax allowances on policies taken out through employment. Using a bivariate probit model on data from National Health Surveys, we estimate the impact of said reform on the demand for PHI and the changes occurred within it. Our findings suggest that the total probability of buying PHI was not significantly affected. Indeed, the fall in the demand for individual policies (by 10% between 1997 and 2001) was offset by an increase in the demand for group employer-paid ones, so that the overall size of the market remained virtually unchanged. We also briefly discuss the welfare effects on the state budget, the industry and society at large.

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This paper analyses whether or not tax subsidies to private medicalinsurance are self-financing by means of a structural approach. Weconstruct a simulation routine based on a microeconometric discretechoice model that allows us to evaluate the impact of premium changeson the utilisation of outpatient and inpatient health care services. Wesimulate the 1999 Spanish tax reform that abolished the tax deductionfor expenditures on private health insurance using a representativesample of the Catalan population. Prior to this reform, foregone taxrevenue arising from deductions after the purchase of private insuranceamounted to 69.2 M. per year. In contrast, the elimination of thesubsidies to private policies is estimated to generate an extra costfor the public sector of about 8.9 M. per year.

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This research work was to study the level of awareness of consumers about health insurance concept and market, consumer perceptions about health insurance providers, schemes and various factors that influence buying decision of health insurance. There is need to bring entire age group – high risk and low risk under health insurance cover. Widening the cover of health insurance calls for indepth understanding of consumer thinking and extensive marketing efforts based on that. Hence the study of consumer perceptions and the impact of different contributing factors on consumer purchase decision assume significance to the marketer. Understanding the consumer thinking on health insurance will also be of relevance to governmental/non governmental agencies, as affordable health care to all is a policy objective of the government and new schemes are being launched in this area.

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Includes bibliography

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We present an overlapping generations model that explains price dispersion among Catalonian healthcare insurance firms. The model shows that firms with different premium policies can coexist. Furthermore, if interest rates are low, firms that apply equal premium to all insureds can charge higher average prices than insurers that set premiums according to the risk of insured. Economic theory, health insurance, health economics.

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Private Medical Insurance in Ireland On 17 January 2007 The Minister for Health and Children announced that she had appointed a three person group comprising Colm Barrington (chair), Seamus Creedon and Dorothea Dowling (the Group) to carry out a business appraisal of the private medical insurance (PMI) market in Ireland and to report back to her on the subject by 31 March 2007. The Ministerâ?Ts announcement included the following terms of reference for the Group: Click here to download PDF 351kb

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  The Government is committed to ending the unfair, unequal and inefficient two-tier health system and to introducing a single-tier system, supported by universal health insurance The Government will achieve a single-tier system via a multi-payer model of universal health insurance (UHI), in line with the Programme for Government (PfG), involving competing private health insurers and a State-owned VHI. UHI will be gradually rolled out over several years, with full implementation by 2019 at the latest. Click here to download the White Paper (PDF, 1.5mb) Read the UHI Explained document (PDF, 200kb). See the stakeholder briefing (PDF, 400kb)

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COBRA stands for Consolidated Omnibus Budget Reconciliation Act *COBRA is not insurance; it is the law, since 1985. COBRA allows employees and their dependents to continue employer group health insurance for several months when that insurance would usually end. *Insurance plans under COBRA are private health plans, not plans sold by the government. *The U.S. Departments of Labor and Treasury enforce COBRA.

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This work analyses the mental health policy-making activity of the Brazilian National Health Agency (ANS), responsible for controlling health insurance companies. Three points are discussed: a) the framework of an economic and private health assistance regulatory activity, b) the ANS and its regulation activity and c) the rules produced by ANS in the mental health care field. It was concluded that, despite advances like the legal obligation to ensure medical treatment to all the diseases listed in ICD-10, the inclusion of suicidal patient damage and self-inflicted damage care, care provided by a multiprofessional team, the increase in the number of sessions with a psychologist, with an occupational therapist and of psychotherapy sessions, and mental health day hospitals included as part of the services offered, the authors identified specific regulatory gaps in this area. Some issues that ANS has to solve so that it can really play its institutional role of defending the public interest in the private health system are: the regulation of co-participation and franchise mechanisms, the increasing co-participation as a limitation of psychiatric hospitalization, and the limited number of crisis intervention psychotherapy sessions.

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This study was a further investigation of the 1996 Texas Immunization Survey conducted by the Associateship for Disease Control and Prevention of the Texas Department of Health. The 1996 survey was conducted through 4,599 completed telephone interviews of families with a child between the ages of 3–35 months concerning the immunization status of Texas children. The present study determined differences in immunization rates for children aged 3–35 months for the last shot in the immunization series that should be completed before 2 years of age, a total of four shots, both overall and for different health insurance groups. Life tables were used to determine the percentage and distribution over time of completed vaccination rates for each shot. Emphasis was placed on the proportion of children that were immunized at the end of the recommended range of the immunization schedule, and at 2 years of age. Univariate and multivariate analysis was also performed in order to ascertain which risk factors predict whether or not a child will be immunized. RESULTS: Between 80–90% were immunized for the last shot of Hepatitis B; Measles, Mumps, and Rubella; and Polio at 2 years of age. Approximately 2/3 of the sample was immunized for Diphtheria, Pertussis, and Tetanus. Most of the children were immunized by the end of the recommended range of the immunization schedule except for Measles, Mumps, and Rubella. Children of parents with private indemnity insurance were significantly more likely to have received two of the four shots; children of uninsured parents were significantly less likely to have received three of the four shots. In multivariate analysis, maternal education was the only variable that consistently predicted immunization status for the different shots. Results indicate that a substantial gap exists for immunization rates between children with private insurance and uninsured children, despite recent policy changes to provide immunizations free of charge. Health care providers should pay extra attention to the poor and uninsured to make sure that all children receive timely immunizations. ^

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Providing health insurance coverage for vulnerable populations such as low-income high-risk children with limited access to health care is a challenge for many states. Over the past decade, higher private insurance premiums and unpredictable labor markets have increased the number of uninsured and underinsured children nationwide. Due to recent economic downfalls, many states such as Texas, have expressed interest in using premium assistance programs to increase enrollment of low income children and families in private coverage through employer sponsored health insurance. Massachusetts has been especially successful in reducing the number of uninsured children through the implementation of MassHealth Family Assistance Program (MHFAP), an employer based premium assistance program. The purpose of this study is to identify key implementation factors of a fully established premium assistance program which may provide lessons and facilitate implementation of emerging premium assistance programs. ^ The case study of the fully established MassHealth Family Assistance Program (MHFAP) has illustrated the ability of states to expand their Medicaid and SCHIP programs in order to provide affordable health coverage to uninsured and underinsured low income children and their families. As demonstrated by MHFAP, the success of a premium assistance program depends on four key factors: (1) determination of participant and employer eligibility; (2) determination of employer benefits meeting benchmark equivalency (Medicaid or State Children's Health Insurance Program); (3) the use of appropriate marketing and outreach strategies; and (4) establishment of adequate monitoring and reporting techniques. Successful implementation strategies, revealed by the case study of the Massachusetts MassHealth Family Assistance Program, may be used by emerging premium assistance programs, such as Texas Children's Health Insurance Premium Assistance Program (CHIP-PA) toward establishment of an effective, efficient, and equitable employer sponsored health program.^

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In the last few decades, private health insurance rates have declined in many countries. In countries and states with community rating, a major cause is adverse selection. In order to address age-based adverse selection, Australia has recently begun a novel approach which imposes stiff penalties for buying private insurance later in life, when expected costs are higher. In this paper, we analyze Australiarsquos Lifetime Cover in the context of a modified version of the Rothschild-Stiglitz insurance model (Rothschild and Stiglitz, 1976). We allow empirically-based probabilities to increase by age for low-risk types. The model highlights the shortcomings of the Australian plan. Based on empirically-based probabilities of illness, we predict that Lifetime Cover will not arrest adverse selection. The model has many policy implications for government regulation encouraging long-term health coverage.

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Objective: To determine which sociodemographic factors. health-related behaviours and physical health conditions are associated with non-drinking, binge drinking and hazardous/harmful drinking in young Australian women. Methods: Cross-sectional data were obtained from the baseline survey of 14,762 young women (aged 18-23 years) enrolled in the Women's Health Australia study in 1996. Associations between a range of drinking patterns and sociodemographic factors, health-related behaviours and health conditions were examined. Results: Half the women were 'low intake' drinkers, a third 'rarely drank' and 9% were non-drinkers; however, 70% reported binge drinking with one-quarter of the binge drinkers doing so at least weekly. Nondrinkers were more likely than drinkers to be married, pregnant, non-smokers, born in non-English speaking countries, to live in the Northern Territory, and to have lower levels of education, employment, and private health insurance. Low intake/binge weekly' drinkers (12%) and 'hazardous/ harmful' drinkers (5%) were more likely than 'low risk' drinkers to be unmarried; to live in shared accommodation, alone or with their parents; to live in rural or remote areas; to have ever had any sexually transmitted infection; to be current smokers or ex-smokers and to have used unhealthy weight-control practices. Conclusions: The results confirm findings from other countries about the importance of social conditions as determinants of alcohol consumption by young women. Implications: Health promotion to reduce young women's alcohol consumption needs to be carefully targeted to take account of their demographies, living environments and beliefs.