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81.
We conducted an extensive literature search of both published and unpublished sources to assess the use and effectiveness
of worksite interventions that offer financial and other incentives. Many companies are using financial incentives, either
alone or in combination with other interventions, to motivate employees to adopt and maintain healthier lifestyles. These
incentives include cash bonuses, paid vacation days, and health insurance rebates. Although more research is needed, the literature
suggests that financial incentives, if properly implemented, may successfully promote behavioral change among employees.
Eric A. Finkelstein Ph.D., M.H.A. currently conducts economic and health policy research at RTI International, teaches an undergraduate Health Economics course
at Duke University, and is a member of RTI-UNC Center of Excellence in Health promotion Economics. He focuses on the economic
causes and consequences of health behaviors, with a primary emphasis on behaviors related to obesity. He has published several
peer-reviewed papers in this area. A recent publication entitled “National Medical Expenditures Attributable to Overweight
and Obesity,” was published in Health Affairs and garnered national media attention, including a front-page story in USA Today, coverage in Time magazine and the Washington Post, and was reported in other radio, television, newspaper, and Internet outlets across the country. That paper is now routinely
cited as a driving motivation to reduce obesity rates. Dr. Finkelstein currently leads several projects concerning the causes
and consequences of health behaviors for the CDC and other public and private sector agencies, and frequently speaks at conferences
concerning the economic impact of obesity and strategies for reducing this burden.
Katherine M. Kosa, M.S. conducts economic and food and nutrition policy research at RTI International with a primary focus on consumer behavior research.
She recently completed a study to examine the general public's attitude and support for obesity interventions recently introduced
at the state and federal level. To inform labeling policy decisions for USDA and FDA, Ms. Kosa conducts focus groups and surveys
to understand consumer attitudes, knowledge, and practices. 相似文献
82.
Eric Neumayer 《Population and development review》2004,30(4):727-742
This article analyzes the effect of HIV/AIDS on the cross-national convergence in life expectancy as well as infant and child survival rates by comparing three scenarios. One is based on historical and future best-guess estimated values given the existence of the epidemic. The second scenario assumes that the effect of the epidemic is much worse than expected. The final scenario is based on hypothetical values derived from estimations where the mortality caused by the epidemic is removed. For life expectancy, convergence becomes stalled in the late 1980s (without weighting by country population size) or 1990s (with weighting). Convergence in infant and child survival rates does not become stalled, but slows down. These results are mainly attributable to the epidemic since all signs of stalled convergence or even divergence disappear in the “No AIDS scenario.” Given the existence of the epidemic, however, the reduced degree of inequality in life expectancy attained by 1985 is only expected to be achieved again by 2015 at the earliest. If the epidemic turns out much worse than expected, divergence could continue to 2050. No divergence is to be expected in infant and child survival rates in any of the scenarios. 相似文献
83.
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85.
Paul S. F. Yip K. F. Lam Eric H. Y. Lau Pui-Hing Chau Kenneth W. Tsang Anne Chao 《Journal of the Royal Statistical Society. Series A, (Statistics in Society)》2005,168(1):233-243
Summary. In an outbreak of a completely new infectious disease like severe acute respiratory syndrome (SARS), estimation of the fatality rate over the course of the epidemic is of clinical and epidemiological importance. In contrast with the constant case fatality rate, a new measure, termed the 'realtime' fatality rate, is proposed for monitoring the new emerging epidemic at a population level. A competing risk model implemented via a counting process is used to estimate the realtime fatality rate in an epidemic of SARS. It can capture and reflect the time-varying nature of the fatality rate over the course of the outbreak in a timely and accurate manner. More importantly, it can provide information on the efficacy of a certain treatment and management policy for the disease. The method has been applied to the SARS data from the regions affected, namely Hong Kong, Singapore, Toronto, Taiwan and Beijing. The magnitudes and patterns of the estimated fatalities are virtually the same except in Beijing, which has a lower rate. It is speculated that the effect is linked to the different treatment protocols that were used. The standard estimate of the case fatality rate that was used by the World Health Organization has been shown to be unable to provide useful information to monitor the time-varying fatalities that are caused by the epidemic. 相似文献
86.
87.
By displaying a risk reduction of 50% graphically rather than numerically, Stone, Yates, and Parker significantly increased professed risk-avoidant behavior. The current experiments replicated this effect at various risk ratios. Specifically, participants were willing to spend more money to reduce a risk when the risk information was displayed by asterisks rather than by numbers for risk-reduction ratios ranging from 3% to 97%. Transforming the amount participants were willing to spend to logarithms significantly improved a linear fit to the data, suggesting that participants convert this variable within the decision-making process. Moreover, a log-linear model affords an exceptional fit to both the graphical and numerical data, suggesting that a graphical presentation elicits the same decision-making mechanism as does the numerical display. In addition, the data also suggest that each person removed from harm is weighted more by some additional factor in the graphical compared to the numerical presentations. 相似文献
88.
When testing of a biomarker is costly, pooling of samples becomes a useful and efficient alternative (Faraggi et al., 2003). In this paper, we develop procedures for sample size and power calculations for planning a study comparing the accuracy of biomarkers in diagnosis of diseases with pooled samples. Explicit formulas are derived for several important pooling strategies. The effects of pooling samples on sample size and power of the test are also discussed. 相似文献
89.
John Eric Baugher 《Sociological inquiry》2007,77(2):136-165
Unions are facing a crisis of legitimacy resulting in part from employer‐initiated workplace participation programs that seek to undermine labor militancy and attachment to unions. The overall trend among union leaders, however, is support for the team concept when implemented in unionized settings. This study examines the effect of union involvement in the team concept on pragmatic and moral union legitimacy at the first unionized team concept assembly plant in the automobile industry—the General Motors’ truck plant in Shreveport, Louisiana. The unique contribution of the study is that it systematically examines how workers who began their careers in the industry under different production regimes view the team concept and union legitimacy. The analysis is based on a random sample survey of workers and employs an original approach of comparing work attitudes and union legitimacy among different “political cohorts.” The results indicate that the team concept threatens pragmatic union legitimacy for veteran workers because it undermines seniority rights. Significant time working under the team concept may also weaken moral union legitimacy, even among workers socialized initially in nonteam concept environments. 相似文献
90.
Bayesian model selection for join point regression with application to age-adjusted cancer rates 总被引:3,自引:0,他引:3
Ram C. Tiwari Kathleen A. Cronin William Davis Eric J. Feuer Binbing Yu Siddhartha Chib 《Journal of the Royal Statistical Society. Series C, Applied statistics》2005,54(5):919-939
Summary. The method of Bayesian model selection for join point regression models is developed. Given a set of K +1 join point models M 0 , M 1 , …, M K with 0, 1, …, K join points respec-tively, the posterior distributions of the parameters and competing models M k are computed by Markov chain Monte Carlo simulations. The Bayes information criterion BIC is used to select the model M k with the smallest value of BIC as the best model. Another approach based on the Bayes factor selects the model M k with the largest posterior probability as the best model when the prior distribution of M k is discrete uniform. Both methods are applied to analyse the observed US cancer incidence rates for some selected cancer sites. The graphs of the join point models fitted to the data are produced by using the methods proposed and compared with the method of Kim and co-workers that is based on a series of permutation tests. The analyses show that the Bayes factor is sensitive to the prior specification of the variance σ 2 , and that the model which is selected by BIC fits the data as well as the model that is selected by the permutation test and has the advantage of producing the posterior distribution for the join points. The Bayesian join point model and model selection method that are presented here will be integrated in the National Cancer Institute's join point software ( http://www.srab.cancer.gov/joinpoint/ ) and will be available to the public. 相似文献