scholarly journals How Do Legislators Value Constituent’s (Statistical) Lives? COVID-19, Partisanship, and Value of a Statistical Life Analysis

2020 ◽  
Author(s):  
Michelangelo Geovanny Landgrave

Value of statistical life (VSL) analysis is common place in policy circles to evaluate the effectiveness of policy. As I show using a novel survey experiment with United States' state legislators, actual use of VSL analysis faces several problems. Firstly, policy preferences are inelastic, unchanging, regardless of the cost. Secondly, policy preferences are determined in large by actors' party ID. This means that VSL analysis, in practice, will either encourage policies that are too risky to too risk adverse.

Author(s):  
Maria Abascal ◽  
Tiffany J. Huang ◽  
Van C. Tran

If preferences on immigration policy respond to facts, widespread misinformation poses an obstacle to consensus. Does factual information about immigration indeed affect policy preferences? Are beliefs about immigration’s societal impact the mechanism through which factual information affects support for increased immigration? To address these questions, we conducted an original survey experiment, in which we presented a nationally representative sample of 2,049 Americans living in the United States with facts about immigrants’ English acquisition and immigrants’ impact on crime, jobs, and taxes—four domains with common misperceptions. Three of these factual domains (immigration’s impact on crime, jobs, and taxes) raise overall support for increased immigration. These facts also affect beliefs that are directly relevant to that information. Moreover, those beliefs mediate the effect of factual information on support for increased immigration. By contrast, information about English acquisition affects neither policy preferences nor beliefs about immigration’s impact. Facts can leverage social cognitions to change policy preferences.


Author(s):  
Patricia Cerrito ◽  
John Cerrito

Now that the data are more readily available for outcomes research and the techniques to analyze that data are available, we need to use the tools to investigate the total complexity of patient care. We should no longer rely upon basic tools while ignoring sequential treatments for patients with chronic diseases or the issue of patient compliance, and we can start investigating treatments from birth to death. It is no longer possible, with these large datasets, to rely on t-tests, chi-square statistics and simple linear regression. Without the luxury of clinical trials and randomizing patients into treatment versus control, there will always be confounding factors that should be considered in the data. In addition, large datasets almost guarantee that the p-value in a standard regression is statistically significant, so other methods of model adequacy must be used. If we do not start using outcomes data, we are missing crucial knowledge that can be used to improve patient outcomes while simultaneously reducing the cost of care. If we continue to use inferential statistical methods that were not designed to work with large datasets, we will not extract the information that is readily available in the outcomes datasets.


2018 ◽  
Vol 10 (04) ◽  
pp. 363-369 ◽  
Author(s):  
Serife Solmaz ◽  
Ozcan Uzun ◽  
Celal Acar ◽  
Omur Gokmen Sevindik ◽  
Ozden Piskin ◽  
...  

ABSTRACT BACKGROUND: Recent reports showed neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR), as a predictor of progression-free survival (PFS) and overall survival (OS) in various malignancies. MATERIALS AND METHODS: We retrospectively examined the PLR, NLR, and MLR in a cohort of 186 newly diagnosed multiple myeloma (MM) patients. This study investigated the prognostic relevance of NLR, PLR, and MLR in MM patients. NLR, PLR, and MLR were calculated from whole blood counts before therapy. The Kaplan–Meier curves and multivariate Cox models were used for the evaluation of survival. RESULTS: Applying cutoff of 1.9 (NLR), 120.00 (PLR), and 0.27 (MLR), decreased PLR showed a negative impact on the outcome. Decreased PLR is an independent predictor for PFS and OS. There were no significant differences in median survival between the high and low NLR (P = 0.80) and MLR (P = 0.87) groups. CONCLUSIONS: In this study, thrombocytopenia and low PLR are associated with poor survival in MM patients does this P value apply to thrombocytopenia or low PLR and may serve as the cost-effective prognostic biomarker.


2020 ◽  
Author(s):  
Henrik Serup Christensen ◽  
Lauri Rapeli

Abstract Previous scholarship has focused primarily on how citizens’ form policy preferences and how those preferences are taken into account in democratic decision-making. However, the temporal aspect of policy preferences has received little attention, although many significant societal problems have consequences that extend far into the future. To fill the gap, we examine to what extent citizens are willing to support policies, when rewards can only be expected after several electoral cycles. Using a conjoint survey experiment, we demonstrate that while a slight tendency towards more immediate policy rewards is discernible, citizens are not as impatient as has been widely assumed. In contrast with previous research, political trust does not affect the impact of the time horizon of policy choice. Instead, we find that people with higher education are more likely to choose policies the benefits of which materialize in the distant future. These findings add to the growing evidence which suggests that citizens’ short-sightedness is not a very strong driver of democratic myopia.


2011 ◽  
Vol 29 (4_suppl) ◽  
pp. 405-405
Author(s):  
D. Lakdawalla ◽  
J. Penrod ◽  
R. Maclean ◽  
J. S. Humphrey ◽  
S. Seabury

405 Background: Traditional CE approaches often produce results that appear to be at odds with patients' (pts) behavior. Patients with terminal disease often value gains in survival much more highly than is suggested by standard CE estimates. In the context of metastatic cancer, CE classifies as cost-ineffective many therapies that pts appear to value highly. This study assesses whether CE analyses conflict with estimates of pt value for mCRC therapy. We infer pt value from the willingness to pay (WTP) of cancer pts for therapy out-of-pocket (OOP), and compare these estimates to the value implied by traditional CE. In contrast to traditional CE approaches, this study uses real-world data on pts' own WTP for therapy OOP. Methods: Revealed preference analysis is performed on retrospective claims data, including the pt OOP spending component, to infer the value metastatic cancer pts (N=13,938) place on 29 different therapies for CRC, breast, lung or head and neck cancer. The primary outcome measure is the average value placed by pts on therapy. Secondary outcomes are: utilization of therapy, total expenditures on cancer drugs, and the price elasticity of demand for therapy. Results: Utilization of therapy displays a negative but inelastic relationship with OOP spending on drugs (the estimated price elasticity is -0.007, with p<0.01). The estimated annual WTP OOP for treatment of mCRC specifically was $207,555, approximately 19 times the average annual cost of therapy ($10,775). Approximately 99% of mCRC pts value the therapy more than the cost. The analysis implies that the average mCRC pt values a statistical life year at approximately $282,000. In comparison, traditional CE analyses employed by regulators assign much lower values for a statistical life-year; for example, the UK's NICE uses a threshold of <$50,000 per year. Conclusions: Traditional economic valuations of medical treatment perform poorly in the terminal care setting, because they fail to recognize that pts place higher value on care provided at the end of life. As a result, these methods vastly understate the CE of treatment for mCRC and other terminal diseases. Use of pts' own OOP spending behavior appears to produce different conclusions for the value of therapy. [Table: see text]


2007 ◽  
Vol 189 ◽  
pp. 100-121 ◽  
Author(s):  
Yanqi Tong

A survey of local government officials and enterprise managers in six Chinese cities demonstrates relatively high environmental awareness. However, this awareness remains primarily an abstraction and does not always shape specific policy preferences. This article shows that the development-driven model works well overall, indicating the reluctance of policy makers to implement environmental protection policies at the cost of sacrificing the rate of economic growth. The pollution-driven model applies only to more developed areas, in which elites in more polluted cities are more concerned about environmental protection than those in less polluted cities. A non-linear model that takes into account the interaction between pollution and development works the best in explaining elites' policy preferences. It suggests that pollution becomes a significant factor affecting policy preferences only when a certain development level is reached.


2020 ◽  
Vol 17 (2) ◽  
pp. 49-71
Author(s):  
Seth Koli ◽  
Conrad-J. Wuleka Kuuder ◽  
Getrude Poku

The study assessed the relationship between fee and liability waivers introduced at Rattray Park vis-a-vis its patronage by low income earners within the Kumasi Metropolis. Barriers to park use as well as safety awareness were also analysed. The research design adopted as a guide was the survey study method. In all, 141 revellers were contacted through questionnaire administration within a 3-day period during the programme. Indepth Interview (IDI) schedules were also conducted with key stakeholders who were incharge of organising the waiver programmes. Quantitative data were analyzed using SPSS while qualitative data were manually transcribed. The study revealed that low income earners took advantage of the waiver programmes (attested by 44% of respondents) with p-value of 0.034 to make use of the park. Similarly, about 70% of respondents consideredinability to afford the cost of entry tickets a factor which hindered their recreational use of the park. The fee waiver concept was noted in the study as well-intended and a strategic recommendation suggested by park-goers signaled the need for boosting recreational activities in the park to engage visitors all day long for a richer experience. Keywords: Fee Waivers, Liability Waivers, Revellers, Rattray Park, Low Income Earners


Author(s):  
Fatimah Baqer Alqubbanchi ◽  
Fadya Yaqoob Al-Hamadani

Abstract Background: The novel coronavirus 2 (SARS?CoV?2) pandemic is a pulmonary disease, which leads to cardiac, hematologic, and renal complications. Anticoagulants are used for COVID-19 infected patients because the infection increases the risk of thrombosis. The world health organization (WHO), recommend prophylaxis dose of anticoagulants: (Enoxaparin or unfractionated Heparin for hospitalized patients with COVID-19 disease. This has created an urgent need to identify effective medications for COVID-19 prevention and treatment. The value of COVID-19 treatments is affected by cost-effectiveness analysis (CEA) to inform relative value and how to best maximize social welfare through evidence-based pricing decisions. Objective: compare the clinical outcome and the costs of two anticoagulants (heparin and (enoxaparin)) used to treat hospitalized patients with COVID-19 infection. Patients and method: The study was a retrospective review of medical records of adult, non-pregnant, COVID-19 infected hospitalized patients who had baseline and last outcome measurements at Alamal Epidemiology Center, Al-Najaf city from (Augast 2020 to June 2021). The outcome measures included D-dimer, length of stay (LOS), and mortality rate. Only the cost of the medical treatment was considered in the analysis. The pharmacoeconomics analysis was done in three different cost-effectiveness analysis methods. Microsoft Excel spreadsheet and Statistical Package for the Social Sciences software (SPSS), was used to conduct statistical analysis. Kaplan Meier test was used to compare the mortality rate. T-TEST was used to compare the outcomes of the two groups. Results and discussion: two groups were compared, the first group consists of 72 patients who received heparin, and the second group consists of 72 patients who received enoxaparin. COVID-19 infected patients had a higher abnormal average D-dimer (2534.675 ng/dl). No significant differences between both genders with regards to the basal average D-dimer (males= 2649.95 ng/dl, females= 2374.1mg/dl, P-value>0.05). There was a significant difference between patient's ages 60 years and patients <60. (3177.33 ng/dl, 1763.06 ng/dl, P-value <0.05). It seems that, higher D-dimer levels were associated with a higher mortality rate (died=3166.263 ng/dl, survived= 1729.94 ng/dl, P-value <0.05). Heparin was more effective in decreasing D-dimer levels than enoxaparin which inversely increased the D-dimer levels (-24.4 ng/dl/day, +154.701 ng/dl/day, P-value <0.05). Additionally, heparin was more effective in increasing the survival rate compared to enoxaparin (55% vs, 35%, P-value<0.05). Heparin was associated with a longer duration of stay in hospital than enoxaparin but with no significant difference (13.7 days, 12.3 days, P-value >0.05). Concerning the cost, treatment with heparin cost less than enoxaparin (2.08 U.S $, 9.44 U.S $)/per patient/per day. Conclusion: Originator heparin was a more cost-effective anticoagulant therapy compared to originator enoxaparin, it was associated with a lower cost and better effect, treatment with Heparin resulted in positive INB= 11.3, where a positive result means that heparin is more cost-effective than Enoxaparin. All three methods of pharmacoeconomic analysis decide that heparin was more cost-effective than enoxaparin in treating COVID-19 infected patients.


2018 ◽  
Vol 27 (2) ◽  
pp. 168-174
Author(s):  
Matheus De Andrade Bannach ◽  
Mariana Lima Caetano ◽  
Caio Átila Saloio ◽  
José Édison Da Silva Cavalcante ◽  
Helioenai De Sousa Alencar

Introduction: Intracerebral Aneurysms are important causes of morbidity and mortality, with mortality rate of up to 50%. Endovascular coiling was introduced as an alternative to surgical clipping, and has shown better results with a reduction in morbidity and mortality risk of 6-9%. Objective: To characterize the two types of treatment for intracerebral aneurysms within Brazilian scenario, and to compare the results with the international literature. Methods: An analytic observational study using data from the SIH / DATASUS (National Health Information System) in the period of 2010-2015. Results: The total number of hospitalizations decreased, with a 38.3% decrease in clipping and 18.4% in embolizations. The mean value of embolization was significantly higher, however, presenting a downward trend (R$ 22,011.37 in 2010 to R$ 15,607.18 in 2015), while the value of microsurgery increased (R$ 7,022.31 to R$ 8,645.28, respectively). Microsurgery was a risk factor for death (p-value <0.01). Conclusion: It has been shown that the international trend of transition from clipping to embolization did not occur in Brazil. The cost of embolization is much higher. For the authors, the death outcome contrasts with literature due to confounding factors that act within limitations of the study.


2020 ◽  
Vol 6 (6) ◽  
pp. 1064-1073 ◽  
Author(s):  
Chompoonut Puttawong ◽  
Preeda Chaturabong

The proven willingness-to-pay with contingent valuation (WTP-CV) method is an effective tool for evaluating the cost of road accidents in many countries. In Thailand, the most fatalities on Thailand’s roads involve the vulnerable road users (VRUs) including motorcycle users, bicyclists, and pedestrians. With the effectiveness of using WTP-CV in analyzing the accident cost of motorcycle users and lack of specific accident cost for pedestrians, this research focuses on evaluating the accident cost on the pedestrians which is the second most VRU fatality. In this research, the road accident cost of pedestrians aged 15-39 years in Bangkok by WTP-CV method was determined. The WTP-CV questionnaire was employed as a tool to measure the payment of which each pedestrian is willing to pay to reduce the fatality and injury risk from road accidents. One thousand and two hundred pedestrians in Bangkok were interviewed. With the results, the value of statistical life (VOSL) for pedestrians in Bangkok is valued at US$ 0.43 million, while the value of statistical injury (VOSI) is estimated at about US$ 0.014 million, respectively. In addition, it is found from the regression analysis that for the fatality risk reduction, higher educational levels and private business pedestrians are likely to pay more to save their lives. In order to reduce the risk of injury, respondents, who are single in marriage status, are likely to pay more to reduce the risk of pedestrian injury. However, a high perception of safety is less likely to pay for the reduction of injury risk.


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