Health, Mental Health and Labor Productivity: The Role of Self-Reporting Bias

This paper relates physical and mental health status to labor force participation and compares these relationships among self-report and proxy respondents. Previous research has conjectured that self-reports of health status may lead to an upward bias in the estimated effect of health on labor productivity because subjects who are out of the labor force may be more likely to understate their health status so as to justify their lack of employment. Also, we integrate mental health into our study by using two alternative approaches-logistic regression analysis and propensity scoring methods. We find that among the cohort of self-reporters, physical health has a substantially stronger impact on labor productivity than mental health; precisely the opposite patterns were obtained when physical and mental health status were reported by proxy respondents. These results suggest the self-reports may lead to a bias in estimating labor productivity costs of physical versus mental health on labor force participation by overestimating the importance of good physical health and underestimating the role of good mental health. This in turn suggests that the benefits of more generous mental health insurance benefits may have been underappreciated in the medical policy debates.

Dilating and contracting arbitrarily

Standard accuracy-based approaches to imprecise credences have the consequence that it is rational to move between precise and imprecise credences arbitrarily, without gaining any new evidence. Building on the Educated Guessing Framework of Horowitz (2019), we develop an alternative accuracy-based approach to imprecise credences that does not have this shortcoming. We argue that it is always irrational to move from a precise state to an imprecise state arbitrarily, however it can be rational to move from an imprecise state to a precise state arbitrarily

Adaptation of WASH Services Delivery to Climate Change and Other Sources of Risk and Uncertainty

This report urges WASH sector practitioners to take more seriously the threat of climate change and the consequences it could have on their work. By considering climate change within a risk and uncertainty framework, the field can use the multitude of approaches laid out here to adequately protect itself against a range of direct and indirect impacts. Eleven methods and tools for this specific type of risk management are described, including practical advice on how to implement them successfully

How can we know if EU cohesion policy is successful? Integrating micro and macro approaches to the evaluation of Structural Funds

In this paper we describe an integrated approach for assessing the general economic effectiveness, efficiency and impact of public policy actions for large investment programs of the kind implemented over the past fifteen years in EU-aided Structural Fund programmes. Far from being rigid, our modelling philosophy includes both formal tools designed to assess all relevant effects, as well as informal (intuitive) elements to allow for flexible policy design and evaluation. When setting up an integrated micro-macro (IMM) model we are trying to over-come two major shortcomings in actual policy design and analysis: Firstly, to bridge the gap between the scientific requirements of model-based decision making and evaluation and the practical requirement for flexible and easy to use decision support tools that are well suited for day-to-day application. Secondly, to address the observed discrepancy in policy analysis between programme monitoring and evaluation realized at a highly aggregate level using quantitative macromodels (the so called “top down” approach) and the highly disaggregated approach to project evaluation, marked as micro- or “bottom up”-approaches.

Factors Influencing Uptake of Risk-Reducing Salpingo-Oophorectomy by BRCA1 and BRCA2 Mutation Carriers

Germline mutations in the BRCA1 and BRCA2 genes are associated with significantly increased risks for ovarian cancer. The National Comprehensive Cancer Network (NCCN) currently recommends that female BRCA mutation carriers undergo risk-reducing salpingo-oophorectomy (RRSO) after age 35; however, not all women elect this option. The purpose of this study was to prospectively survey women with BRCA mutations currently undergoing ovarian cancer screening about their intention to have an RRSO and the various factors influencing their decision. Of the 26 women who completed our survey, 26 (100%, CI: 86.8-100) plan to undergo an RRSO in their lifetime. The average woman reported 6.7 motivations and 2.9 barriers to RRSO, indicating that in our population women tend to have more reasons for electing, rather than avoiding, this surgery. We further found that while most women appeared to share the same motivations for surgery, they often had unique barriers that were not common to others. The most important reasons in favor of surgery included a desire to reduce one’s risk for ovarian cancer and live longer for family members. The most important barrier to RRSO was fear of the symptoms related to menopause. We believe these results will assist healthcare providers when discussing the option of RRSO with BRCA mutation carriers undergoing ovarian cancer screening

Renormalization of radiobiological response functions by energy loss fluctuations and complexities in chromosome aberration induction: deactivation theory for proton therapy from cells to tumor control

We employ a multi-scale mechanistic approach to investigate radiation induced cell toxicities and deactivation mechanisms as a function of linear energy transfer in hadron therapy. Our theoretical model consists of a system of Markov chains in microscopic and macroscopic spatio-temporal landscapes, i.e., stochastic birth-death processes of cells in millimeter-scale colonies that incorporates a coarse-grained driving force to account for microscopic radiation induced damage. The coupling, hence the driving force in this process, stems from a nano-meter scale radiation induced DNA damage that incorporates the enzymatic end-joining repair and mis-repair mechanisms. We use this model for global fitting of the high-throughput and high accuracy clonogenic cell-survival data acquired under exposure of the therapeutic scanned proton beams, the experimental design that considers $\gamma$-H2AX as the biological endpoint and exhibits maximum observed achievable dose and LET, beyond which the majority of the cells undergo collective biological deactivation processes. An estimate to optimal dose and LET calculated from tumor control probability by extension to $~ 10^6$ cells per $mm$-size voxels is presented. We attribute the increase in degree of complexity in chromosome aberration to variabilities in the observed biological responses as the beam linear energy transfer (LET) increases, and verify consistency of the predicted cell death probability with the in-vitro cell survival assay of approximately 100 non-small cell lung cancer (NSCLC) cells