Three Principles for Managing Risk in the Public Interest

We propose three principles and a general framework of reasoning for managing risk in the public interest. Principle 1. Risks shall be managed to maximize the total expected net benefit to society— The principle that the net benefit is to be maximized across society as a whole is argued to be a sufficient and rational guide to assessing the effectiveness of efforts directed at reducing risk and thus improving health and safety. The net benefit of an activity is the excess of the totality of benefits over the totality of detriments. Principle 2. The safety benefit to be promoted is life-expectancy— The goal is to ensure that risk mitigation efforts maximize the net benefit to society in the specific terms of length of life for all individuals. The effect of an activity on life expectancy is proposed as the proper basic measure of its net safety impact. Life expectancy is a universal measure valid for comparisons both within and among countries and can be adjusted to include health expectancy and other factors such as income levels that affect the quality of life. The impact on life expectancy allows a dispassionate accounting of the good and the bad inherent in any proposal or activity that is in the public interest but has some impact on life and health. Principle 3. Decisions for the public in regard to health and safety must be open and apply across the complete range of hazards to life and health— Systematic efforts to evaluate all the important consequences, both direct and indirect, are required to improve the basis for risk management in society. Balancing of the detriments and the benefits of any given initiative is the key aspect of the undertaking. Safety may well be an important objective in society, but it is not the only one. Thus, allocation of society's resources devoted to safety must be openly and continually appraised in light of other competing social needs because there is a limit on the resources that can be expended to save lives. Maximization of healthful life for all is judged the proper basis for managing risk in the public interest, and that this is achieved when the net of the contribution to the total saving of life exceeds the loss of life.     

Data Available for Evaluating the Risks and Benefits of MTBE and Ethanol as Alternative Fuel Oxygenates

The wide-scale use of methyl tertiary butyl ether (MTBE) in gasoline has resulted in substantial public controversy and action to ban or control its use due to perceived impacts on water quality. Because oxygenates are still required under federal law, considerable research has focused on ethanol as a substitute for MTBE. In this article, we summarize the currently available literature on the air and water quality risks and benefits of MTBE versus ethanol as alternative fuel oxygenates. We find that MTBE-fuel blends are likely to have substantial air quality benefits; ethanol-fuel blends appear to offer similar benefits, but these may be at least partially negated because of ethanol's propensity to increase emissions and ambient concentrations of some air contaminants. Releases of gasoline containing either MTBE or ethanol could have an impact on some drinking water sources, although the impacts associated with MTBE tend to relate to aesthetics (i.e., taste and odor), whereas the impacts associated with ethanol generally relate to health risk (i.e., greater exposure to gasoline constituents such as benzene). It is likely that these water quality impacts will be outweighed by the air quality benefits associated with MTBE and perhaps ethanol use, which affect a much larger population. A lack of data on environmental exposures and associated health impacts hinders the completion of a comprehensive quantitative risk-benefit analysis, and the available air and water quality data should be evaluated in a broader risk-management context, which considers the potential life-cycle impacts, costs, and feasibility associated with alternative fuel oxygenates.     

Establishment of risk acceptance criteria using Life Quality Index: Application to the Indian context

The formulation of risk acceptance criteria may be coupled gainfully with a prediction of the of investment required to comply with it, an exercise which can benefit from the application of socioeconomic indicators. The Life Quality Index (LQI) is one such indicator which amalgamates human mortality and wealth creation and places an implicit economic value on reduction of life risk. While there have been a number of studies to demonstrate the application of LQI pertaining to various technological systems, the present work extends it to estimate the sectoral level investment needed to reduce public risks to within the As Low As Reasonably Predictable region for the chemical industry, with specific illustration of the methodology for India. The potential reduction in public individual risk is computed as a function of percentage increase in safety investment expressed as a fraction of the industry's contribution to the nation's GDP. In addition, using a new, more accurate expression, estimates of a related parameter, the implied cost of averting a fatality (ICAF), are obtained for a number of developed economies and India. The ICAF estimates show reasonable agreement with the value of statistical life (VSL), a parameter which is integral to cost-benefit analysis of safety and environmental regulations.     

A Benefit-Cost Analysis of Retrofitting Diesel Vehicles with Particulate Filters in the Mexico City Metropolitan Area

In the Mexico City metropolitan area, poor air quality is a public health concern. Diesel vehicles contribute significantly to the emissions that are most harmful to health. Harmful diesel emissions can be reduced by retrofitting vehicles with one of several technologies, including diesel particulate filters. We quantified the social costs and benefits, including health benefits, of retrofitting diesel vehicles in Mexico City with catalyzed diesel particulate filters, actively regenerating diesel particulate filters, or diesel oxidation catalysts, either immediately or in 2010, when capital costs are expected to be lower. Retrofit with either type of diesel particulate filter or an oxidation catalyst is expected to provide net benefits to society beginning immediately and in 2010. At current prices, retrofit with an oxidation catalyst provides greatest net benefits. However, as capital costs decrease, retrofit with diesel particulate filters is expected to provide greater net benefits. In both scenarios, retrofit of older, dirtier vehicles that circulate only within the city provides greatest benefits, and retrofit with oxidation catalysts provides greater health benefits per dollar spent than retrofit with particulate filters. Uncertainty about the magnitude of net benefits of a retrofit program is significant. Results are most sensitive to values used to calculate benefits, such as the concentration-response coefficient, intake fraction (a measure of exposure), and the monetary value of health benefits.     

Social support at work and its relationship to absenteeism

In this study, the impact of psychosocial work characteristics on illness and work absenteeism has been examined. The study group consisted of 133 civil servants (33 men and 100 women) with a mean age of 43 years (range 21-65 years). Psychosocial work characteristics, social support, quality of life, work absenteeism, psychosomatic and gastrointestinal symptoms were assessed by means of questionnaires. Five different work support or functions were identified by factor analysis: appraisal support, belonging support, instrumental support, emotional support and supportive atmosphere. The analysis showed that work absenteeism was associated with lower belonging support and a less supportive atmosphere. Furthermore, psychosomatic symptoms were associated with lack of support at work, measured as belonging support, instrumental support and supportive atmosphere. Gastrointestinal symptoms were associated with lack of belonging support and lack of social integration outside work. A bad general health status was associated with lack of insrumental support. The association between work absenteeism and social support at work was confirmed in multivariate analysis with control for confounding factors. In this analysis, high work strain and low social support were associated with a lower quality of life, which in turn was associated with increased absenteeism. Although there are well-known difficulties in drawing causal conclusions from cross-sectional studies, it seems reasonable to conclude that social support at work is an important factor to take into consideration when analysing illness and absenteeism from work.     

Risk: For Whom? Representations of Mining Activity by Different Social Actors in the Molango Manganese District of Hidalgo,Mexico

Previous studies have shown high levels of manganese exposure and neurocognitive damage in the population living in the mining zone in Molango, Mexico. One of the objectives of the Intersectoral Group on Environmental Management for the mining district has been to provide public participation in the risk management plan. To achieve this, it is important to know how the different social actors represent the mining activity. The objectives of this study were to characterize the social representations of the mining activity by different social actors. A qualitative design was used based on in‐depth interviews of residents, public officials, and a mining company representative. The analysis was conducted according to themes for each group of actors. Essentially, distinct social representations of the different mining activities were identified. Residents viewed mining activities as synonymous with contamination and, therefore, as having affected all areas of their environment, health, and daily life. These activities were seen as a collective risk. The public officials and the mining company held that there was no evidence of harm and saw mining activities as a generator of regional development. Harm to health and the environment were seen as a stance taken by the communities in order to obtain economic benefits from the company. These images of the “other” are shaped by social, political, and cultural factors. They make it difficult for the actors to reach cooperative agreements and thereby affect progress on the risk management plan. Decisionmakers need to take these differences into account when promoting social participation.     

A New Air Quality Perception Scale for Global Assessment of Air Pollution Health Effects

Despite improvements in air quality in developed countries, air pollution remains a major public health issue. To fully assess the health impact, we must consider that air pollution exposure has both physical and psychological effects; this latter dimension, less documented, is more difficult to measure and subjective indicators constitute an appropriate alternative. In this context, this work presents the methodological development of a new scale to measure the perception of air quality, useful as an exposure or risk appraisal metric in public health contexts. On the basis of the responses from 2,522 subjects in eight French cities, psychometric methods are used to construct the scale from 22 items that assess risk perception (anxiety about health and quality of life) and the extent to which air pollution is a nuisance (sensorial perception and symptoms). The scale is robust, reproducible, and discriminates between subpopulations more susceptible to poor air pollution perception. The individual risk factors of poor air pollution perception are coherent with those findings in the risk perception literature. Perception of air pollution by the general public is a key issue in the development of comprehensive risk assessment studies as well as in air pollution risk management and policy. This study offers a useful new tool to measure such efforts and to help set priorities for air quality improvements in combination with air quality measurements.     

The American health system: a contentious environment in the 21st Century

In the 21st Century, the American public and its elected officials will be unable to reach any overall consensus on our nation's health policies and priorities. With greater demands for health services and fewer fiscal resources, a more contentious environment in the health industry will ensue. As the American health system in the next 100 years continues to behave with an amalgam of competitive and regulatory approaches, it will be difficult to ensure that all Americans will receive universal access, equity, comprehensive benefits, and a high quality of care. For these reasons, the health system is predicted later on to swing away from market-driven to more state-oriented regulatory strategies as the United States attempts to blend such concepts as pluralism, regionalization of resources, and enforcing cost containment.     

Social support at work and its relationship to absenteeism

Abstract

In this study, the impact of psychosocial work characteristics on illness and work absenteeism has been examined. The study group consisted of 133 civil servants (33 men and 100 women) with a mean age of 43 years (range 21-65 years). Psychosocial work characteristics, social support, quality of life, work absenteeism, psychosomatic and gastrointestinal symptoms were assessed by means of questionnaires. Five different work support or functions were identified by factor analysis: appraisal support, belonging support, instrumental support, emotional support and supportive atmosphere. The analysis showed that work absenteeism was associated with lower belonging support and a less supportive atmosphere. Furthermore, psychosomatic symptoms were associated with lack of support at work, measured as belonging support, instrumental support and supportive atmosphere. Gastrointestinal symptoms were associated with lack of belonging support and lack of social integration outside work. A bad general health status was associated with lack of insrumental support. The association between work absenteeism and social support at work was confirmed in multivariate analysis with control for confounding factors. In this analysis, high work strain and low social support were associated with a lower quality of life, which in turn was associated with increased absenteeism. Although there are well-known difficulties in drawing causal conclusions from cross-sectional studies, it seems reasonable to conclude that social support at work is an important factor to take into consideration when analysing illness and absenteeism from work.     

Examining Localized Patterns of Air Quality Perception in Texas: A Spatial and Statistical Analysis

Environmental and human health issues associated with outdoor air pollution, such as ozone, sulfur dioxide, and other pollutants in metropolitan regions, are an area of growing concern for both policy officials and the general public. Increasing attention from the news media, new health data, and public debate over the effectiveness of clean air regulations have raised the importance of air quality in the public consciousness. While public perceptions of air quality have been studied thoroughly dating back to the 1960s, little empirical research has been conducted to explain the spatial aspects of these perceptions, particularly at the local level. Although recent studies suggest characteristics of local setting are important in shaping perceptions of air quality, the roles of proximity, neighborhood characteristics, and location have not been clarified. This study seeks to improve understanding of the major factors shaping public perceptions of air quality by examining the spatial pattern of local risk perception, the role of socioeconomic characteristics in forming these perceptions, and the relationship between perceived and scientifically measured air pollution. First, we map the spatial pattern of local air quality perceptions using Geographic Information Systems (GIS) across the Dallas and Houston metropolitan areas. Next, we explain these perceptions through local contextual factors using both bivariate correlations and multivariate regression analysis. Results indicate that perceptions of air quality in the study areas are not significantly correlated with air quality based on readings of air monitoring stations. Instead, perceptions appear to be influenced by setting (urban vs. rural), state identification, access to information, and socioeconomic characteristics such as age, race, and political identification. We discuss the implications of the findings and provide direction on how further research can provide a deeper understanding of the local contextual factors influencing public perceptions.     

Reassessing the human health benefits from cleaner air

Recent proposals to further reduce permitted levels of air pollution emissions are supported by high projected values of resulting public health benefits. For example, the Environmental Protection Agency recently estimated that the 1990 Clean Air Act Amendment (CAAA) will produce human health benefits in 2020, from reduced mortality rates, valued at nearly $2 trillion per year, compared to compliance costs of $65 billion ($0.065 trillion). However, while compliance costs can be measured, health benefits are unproved: they depend on a series of uncertain assumptions. Among these are that additional life expectancy gained by a beneficiary (with median age of about 80 years) should be valued at about $80,000 per month; that there is a 100% probability that a positive, linear, no-threshold, causal relation exists between PM(2.5) concentration and mortality risk; and that progress in medicine and disease prevention will not greatly diminish this relationship. We present an alternative uncertainty analysis that assigns a positive probability of error to each assumption. This discrete uncertainty analysis suggests (with probability >90% under plausible alternative assumptions) that the costs of CAAA exceed its benefits. Thus, instead of suggesting to policymakers that CAAA benefits are almost certainly far larger than its costs, we believe that accuracy requires acknowledging that the costs purchase a relatively uncertain, possibly much smaller, benefit. The difference between these contrasting conclusions is driven by different approaches to uncertainty analysis, that is, excluding or including discrete uncertainties about the main assumptions required for nonzero health benefits to exist at all.     

Mandated benefits: a misguided effort

The U.S. Congress is toying with the creation of universally mandated benefits for health care, most specifically in the health care reform proposal offered by the Clinton Administration. The notion of mandated benefits has already become a part of the health care scene in insurance and managed care plans. Instead of benefiting U.S. citizens as a whole, however, mandated benefits are likely to result in a reduction in health care accessibility and quality. The reason is that mandated benefits consume a continuously growing portion of the health care pie. Deming demonstrated that quality brings lower costs, but to obtain quality we must commit adequate resources. The free allocation of resources is negated by mandated benefits.     

Maximizing Health Benefits and Minimizing Inequality: Incorporating Local‐Scale Data in the Design and Evaluation of Air Quality Policies

The U.S. Environmental Protection Agency undertook a case study in the Detroit metropolitan area to test the viability of a new multipollutant risk‐based (MP/RB) approach to air quality management, informed by spatially resolved air quality, population, and baseline health data. The case study demonstrated that the MP/RB approach approximately doubled the human health benefits achieved by the traditional approach while increasing cost less than 20%—moving closer to the objective of Executive Order 12866 to maximize net benefits. Less well understood is how the distribution of health benefits from the MP/RB and traditional strategies affect the existing inequalities in air‐pollution‐related risks in Detroit. In this article, we identify Detroit populations that may be both most susceptible to air pollution health impacts (based on local‐scale baseline health data) and most vulnerable to air pollution (based on fine‐scale PM_2.5 air quality modeling and socioeconomic characteristics). Using these susceptible/vulnerable subpopulation profiles, we assess the relative impacts of each control strategy on risk inequality, applying the Atkinson Index (AI) to quantify health risk inequality at baseline and with either risk management approach. We find that the MP/RB approach delivers greater air quality improvements among these subpopulations while also generating substantial benefits among lower‐risk populations. Applying the AI, we confirm that the MP/RB strategy yields less PM_2.5 mortality and asthma hospitalization risk inequality than the traditional approach. We demonstrate the value of this approach to policymakers as they develop cost‐effective air quality management plans that maximize risk reduction while minimizing health inequality.     

What Affects the Quality of Economic Analysis for Life‐Saving Investments?‡

Economic analysis of life-saving investments in both the public and private sectors has the potential to dramatically improve longevity and the quality of life, but only if the analyses on which decisions are based are done well. In this article, we analyze a data set that provides information on the content and quality of journal articles that measure the cost-effectiveness of life-saving investments. Our study is the first to provide a detailed multivariate analysis of factors affecting objective measures of quality. We also explore whether a series of recommendations by an expert panel convened by the U.S. Public Health Service affect the way analyses of specific life-saving investments are done. Our results suggest that four factors are positively correlated with an index we construct to measure analytical quality: (1) having at least one author affiliated with a university, (2) publication in a journal that has experience in publishing these analyses, (3) if the life-saving investment is located in the United States, and (4) if the analysis considers a measure of social costs or benefits. Somewhat surprisingly, a study's funding source and whether it is affiliated with industry are not significantly correlated with the quality index. Finally, neither time nor the panel guidelines had an impact on the index.     

Toward an Effective Design of Behavioral Health Care Delivery: An Empirical Analysis of Care for Depression

A criticism of behavioral health care delivery is that it has largely missed the social determinants of behavioral health disorders and their diagnosis. Toward addressing this criticism, this study evaluates the delivery of behavioral health care as a part of primary care operations. Focusing on the treatment of depression, the study results show that: (i) primary care clinics operating in communities with superior social environment characteristics are associated with improved depression outcomes in the short term, and (ii) psychosocial resources (social and emotional support) and the built environment (man‐made resources and infrastructure to support human activity) of primary care clinics are associated with sustaining the improvement in depression outcome in the long term. Centering our attention on IT‐enabled, evidence‐based, and affordable primary care as mechanisms that can enable the integration of behavioral and medical care delivery, the results suggest that IT‐enabled and evidence‐based primary care are associated with improvements in depression outcomes. We also find that the effect of improving the affordability of behavioral health care delivery depends on the community's socioeconomic status. Primary care clinics in socioeconomically disadvantaged communities practicing cost‐containment are associated with improvements in depression outcomes, and, therefore, can contribute toward reducing disparities in behavioral health care delivery. Counter to our original expectations, we find that the effect of evidence‐based care on improvements on depression outcomes increases as the availability of medically trained behavioral health care specialists practicing in a community increases lending support to concerns that primary care clinics in resource‐rich communities obtain greater benefit from quality improvement interventions.     

Use of Quality-Adjusted Life Year Weights with Dose-Response Models for Public Health Decisions: A Case Study of the Risks and Benefits of Fish Consumption

Risks associated with toxicants in food are often controlled by exposure reduction. When exposure recommendations are developed for foods with both harmful and beneficial qualities, however, they must balance the associated risks and benefits to maximize public health. Although quantitative methods are commonly used to evaluate health risks, such methods have not been generally applied to evaluating the health benefits associated with environmental exposures. A quantitative method for risk-benefit analysis is presented that allows for consideration of diverse health endpoints that differ in their impact (i.e., duration and severity) using dose-response modeling weighted by quality-adjusted life years saved. To demonstrate the usefulness of this method, the risks and benefits of fish consumption are evaluated using a single health risk and health benefit endpoint. Benefits are defined as the decrease in myocardial infarction mortality resulting from fish consumption, and risks are defined as the increase in neurodevelopmental delay (i.e., talking) resulting from prenatal methylmercury exposure. Fish consumption rates are based on information from Washington State. Using the proposed framework, the net health impact of eating fish is estimated in either a whole population or a population consisting of women of childbearing age and their children. It is demonstrated that across a range of fish methylmercury concentrations (0-1 ppm) and intake levels (0-25 g/day), individuals would have to weight the neurodevelopmental effects 6 times more (in the whole population) or 250 times less (among women of child-bearing age and their children) than the myocardial infarction benefits in order to be ambivalent about whether or not to consume fish. These methods can be generalized to evaluate the merits of other public health and risk management programs that involve trade-offs between risks and benefits.     

Public hospitals: an assessment and plan for the future.

We are currently living in very difficult times for most health care providers. Even though we have always known it, the fact that resources for health care are limited is now abundantly apparent to consumers, health care providers, fiscal intermediaries, government (local, state, and federal), health care planners, and policy makers. Hospitals, especially, are being severely pressured to reduce resource consumption and costs. Conditions that are difficult for nonpublic hospitals are critical for public hospitals in general and nearly fatal for rural public hospitals. Fortunately, nonpublic hospitals are beginning to realize for the first time that their future depends, to a significant degree, on a strong and financially healthy public hospital system. If the public hospital, the hospital of last resort, closes, medically indigent patients will have to be treated in nonpublic hospitals, with the resultant medical, financial, economic, political, and social consequences. Therefore, the importance of public hospitals has to be even better recognized and appreciated and these institutions actively supported in order for the private and total health care systems to be successful.     

Expert Elicitation of the Value per Statistical Life in an Air Pollution Context

The monetized value of avoided premature mortality typically dominates the calculated benefits of air pollution regulations; therefore, characterization of the uncertainty surrounding these estimates is key to good policymaking. Formal expert judgment elicitation methods are one means of characterizing this uncertainty. They have been applied to characterize uncertainty in the mortality concentration‐response function, but have yet to be used to characterize uncertainty in the economic values placed on avoided mortality. We report the findings of a pilot expert judgment study for Health Canada designed to elicit quantitative probabilistic judgments of uncertainties in Value‐per‐Statistical‐Life (VSL) estimates for use in an air pollution context. The two‐stage elicitation addressed uncertainties in both a base case VSL for a reduction in mortality risk from traumatic accidents and in benefits transfer‐related adjustments to the base case for an air quality application (e.g., adjustments for age, income, and health status). Results for each expert were integrated to develop example quantitative probabilistic uncertainty distributions for VSL that could be incorporated into air quality models.     

The Risk Screening for Indoor Air Pollution Chemicals in Japan

In recent years, public health problems caused by indoor air pollution have been drawing strong public concern in Japan. After conducting extensive exposure assessment, governmental agencies have taken effective measures to solve the problem; for instance, "Guidelines for indoor air quality (IAQ)" of 13 chemicals, for example, formaldehyde, toluene, and xylene, has been established. Thousands of chemicals have been identified in the indoor environment. Priority rating of those chemicals, however, was not based on the health risk level. We developed a risk-screening scheme for indoor air pollution chemicals and analyzed the current status of the risk levels of those chemicals in Japan. We researched scientific knowledge of health hazards and exposure surveys of indoor air pollution chemicals in Japan, and classified those chemicals based on the health risk level estimated from the scheme. The risk levels of 93 chemicals were characterized and six chemicals (formaldehyde, acrolein, 1,4-dichlorobenzene, benzene, tetrachloroethylene, and benzo(a)pyrene) were classified in the highest risk category.     

Stress, social support, and psychological and physical wellbeing in secondary school teachers

In order to evaluate the relationship between stress and social support, on the one hand, and indices of psychological and physical health, on the other, questionnaires were administered to 120 secondary school teachers. Full data were retrieved from 88 teachers, a response rate of 73%. Bivariate correlational analysis revealed associations between life stress and job stress and a variety of General Health Questionnaire measures of psychological wellbeing. Job stress was also correlated with self-reported short-term sickness absences from work. Social support measures were not. in the main, predictive of psychological health outcome measures. In contrast, neither stress nor social support measures were related to self-reported physical health problems or long-term sickness absences. It would appear that self-reported stress is largely associated with psychological wellbeing, and is not substantially related to indices of physical wellbeing. The former relationship does not appear to be substantially mediated by social support, and may be reflective of a general plaintive set.