Risk of bias in trial-based economic evaluations: Identification of sources and bias-reducing strategies

Objective: The objectives of this article are first to give an overview of the risks of bias in trial-based economic evaluations and, second, to identify how key sources for bias can be revealed and overcome (i.e. what bias-reducing strategies might be employed) in future trial-based economic evaluations in the field of health psychology.

Design: Narrative review discussing sources of bias in trial-based economic evaluations and bias-reducing strategies.

Results: We identified 11 biases and assigned them to a particular trial phase. A distinction is made between pre-trial biases, biases during the trial and biases that are relevant after the actual trial. All potential forms of bias are discussed in detail and strategies are shown to detect and overcome these biases.

Conclusion: In order to avoid bias in trial-based economic evaluations, one has to be aware of all the possible forms of bias. All stakeholders have to examine trial-based economic evaluations in a rigorous and stringent manner. This article can be helpful in this examination as it gives an overview of the possible biases which researchers should take into account.     

What Can Political Psychology Learn from Implicit Measures? Empirical Evidence and New Directions

Implicit measures have become very popular in virtually all areas of basic and applied psychology. However, there are empirical and theoretical arguments that might raise doubts about their usefulness in research on political attitudes. Based on a review of relevant evidence, we argue that implicit measures can be useful to identify distal sources of political preferences in domains where self‐presentation may bias self‐reports (e.g., influence of racial attitudes on voting decisions). In addition, implicit measures of proximal political attitudes can contribute to the prediction of future political decisions by virtue of their capability to predict biases in the processing of decision‐relevant information (e.g., prediction of voting behavior of undecided voters). These conclusions are supported by research showing that implicit measures predict real‐world political behavior over and above explicit measures. The reviewed findings suggest that implicit measures may serve as a useful supplement to improve the prediction of election outcomes. Open questions and potential directions for future research are discussed.     

Work Context Support and Portuguese Soldiers’ Well-Being: The Mediating Role of Autonomous Motivation

Using self-determination theory ( Deci & Ryan, 2008 Deci, E. L., & Ryan, R. M. (2008). Self-determination theory: A macrotheory of human motivation, development, and health. Canadian Psychology, 49, 182–185. 10.1037/a0012801[Crossref], [Web of Science ®] , [Google Scholar]) as the theoretical framework, we tested a model for this study that considers soldiers’ perceptions of organizational support and leader–member exchange (LMX), work motivation, and well-being at work. The hypothesized model was tested using a representative sample of 1,045 Portuguese soldiers. Results revealed that autonomous work motivation was significantly related to both contextual factors (organizational support and LMX). In addition, autonomous work motivation was positively related to work engagement and negatively related to burnout, and controlled motivation showed the opposite pattern. More interesting, the results showed that autonomous work motivation as a mechanism that helped to explain the relationship between both contextual factors and workplace well-being. The present results underscore the importance of understanding the mechanisms through which higher work engagement and lower burnout take place, eventually leading to appropriate interventions.     

Effect of the 5-HTTLPR polymorphism on posttraumatic stress disorder,depression, anxiety,and quality of life among Iraq and Afghanistan veterans

Background and Objectives: Posttraumatic stress disorder (PTSD), depression, anxiety, and stress are significant problems among returning veterans and are associated with reduced quality of life. Design: A correlational design was used to examine the impact of a polymorphism (5-HTTLPR) in the serotonin transporter promoter gene on post-deployment adjustment among returning veterans. Methods: A total of 186 returning Iraq and Afghanistan veterans were genotyped for the 5-HTTLPR polymorphism. Symptoms of PTSD, depression, general stress, and anxiety were assessed along with quality of life. Results: After controlling for combat exposure, age, sex of the participant, and race, 5-HTTLPR had a significant multivariate effect on post-deployment adjustment, such that S′ carriers reported more post-deployment adjustment problems and worse quality of life than veterans homozygous for the L′ allele. This effect was larger when the analyses were restricted to veterans of European ancestry. Conclusions: Our findings suggest that veterans who carry the S′ allele of the 5-HTTLPR polymorphism may be at increased risk for adjustment problems and reduced quality of life following deployments to war zones.     

Daily fluctuations in teachers' well-being: a diary study using the Job Demands–Resources model

Abstract

The study tests the dynamic nature of the Job Demands–Resources model with regard to both motivational and health impairment processes. It does so by examining whether daily fluctuations in co-workers' support (i.e., a typical job resource) and daily fluctuations in work/family conflict (i.e., a typical job demand) predict day-levels of job satisfaction and mental health through work engagement and exhaustion, respectively. A total of 61 schoolteachers completed a general questionnaire and a daily survey over a period of five consecutive work days. Multilevel analyses provided evidence for both the above processes. Consistently with the hypotheses, our results showed that day-level work engagement mediated the impact of day-level co-workers' support on day-level job satisfaction and day-level mental health, after general levels of work engagement and outcome variables had been controlled for. Moreover, day-level exhaustion mediated the relationship between day-level work/family conflict and day-level job satisfaction and day-level mental health after general levels of exhaustion and outcome variables had been controlled for. These findings provide new insights into the dynamic psychological processes that determine daily fluctuations in employee well-being. Such insights may be transformed into job redesign strategies and other interventions designed to enhance work-related psychological well-being on a daily level.     

Visual symmetry perception in early onset monocular blindness

Symmetry detection is impaired by abnormal binocular vision development such as in amblyopia. However, the detection of symmetry has never been investigated in cases where input from one eye is profoundly compromised. Testing monocularly blind (MB) individuals represents a unique opportunity to investigate whether symmetry salience relies on a normally developed binocular visual system. In a visual symmetry detection task using dot patterns, congenitally MB showed comparable accuracy to normally sighted individuals viewing monocularly. This included better detection of vertically than horizontally symmetric patterns. However, the MB were slower than controls in detecting a symmetrical pattern. In a control target-detection task, no significant differences in performance were observed between these groups. Overall, normal developing binocular vision does not appear necessary for the visual system to detect the presence of visual symmetry. However, optimal detection mechanisms may be dependent on binocular summation or other processes dependent on input from both eyes.     

Nonlinear and Quasi-Simplex Patterns in Latent Growth Models

In the SEM literature, simplex and latent growth models have always been considered competing approaches for the analysis of longitudinal data, even if they are strongly connected and both of specific importance. General dynamic models, which simultaneously estimate autoregressive structures and latent curves, have been recently proposed in the literature. We discuss the properties of Autoregressive Latent Trajectories (ALT) with the aim of deriving their relationship with nonlinear growth models. We show how the quasi-simplex part of the ALT admits an equivalent nonlinear growth representation. A simulation study is performed to examine how the relationship holds in the presence of polynomial and bounded growths over time, whereas an empirical application on student achievement highlights the usefulness of the equivalence. The evaluation of the formative process in the European University system has been assuming an ever increasing importance since the beginning of the Bologna process. In this context, the analysis of student performances and capabilities using different approaches plays a fundamental role.     

Alarm Signals and Prompts to Eliminate Large Urinary Accidents in a Woman with Multiple Disabilities

Urine-triggered alarm signals and prompts were used to help a woman with multiple disabilities halt wetting episodes and walk to the toilet (thus avoiding large urinary accidents). Data indicated that the woman had a mean frequency of 1 large accident nearly every 2 days during the baseline phases and every 20 days during the intervention phases. During the latter phases, large accidents were replaced by small accidents (i.e. only a disposable tissue inside the underwear was wet), which did not cause environmental disruptions and did not require changes of clothes. Implications of the findings are discussed.