Tilburg University
  • Tilburg, Netherlands
Recent publications
Patients with chronic painful chemotherapy-induced peripheral neuropathy (CIPN) may experience a negative impact of CIPN on daily life. They can use various coping (i.e., dealing with symptoms and resulting impairments in general) and self-management (i.e., practical actions to reduce symptoms) strategies to live with their limitations. This paper aimed to examine experienced helpful coping and self-management strategies of patients with chronic painful CIPN. Semi-structured interviews were conducted with twelve patients with chronic painful CIPN. We applied a hybrid deductive-inductive coding approach. ATLAS.ti was used for coding. Generated from the data were two themes and nine codes for coping and four themes and 31 codes for self-management strategies. Coping of patients often included active strategies like planning, seeking social support, and acceptance. Additionally, patients often used passive strategies such as focusing on and venting emotions and suppressing competing activities. The most common self-management strategies were mostly passive (i.e., medication, deliberate choice of shoes, resting, sitting, and consulting healthcare professionals) but also active (i.e., exercising) strategies. Patients exhibit a great variety of coping and self-management strategies that they perceive as helpful to deal with chronic painful CIPN. However, research has shown that certain strategies are not that helpful or even come with aversive effects. More research into the effectiveness and implementation of psychosocial interventions is needed since it may help patients adopting helping strategies. In addition, healthcare professionals need to refer patients with CIPN in a timely manner to physical therapists, occupational therapists, or rehabilitation teams to reduce or prevent (further) impairments. Patients can consult one of their healthcare providers in case of problems in dealing with their symptoms, to get proper guidance and possible referral.
Abstract This paper presents a generalized registration form for systematic reviews that can be used when currently available forms are not adequate. The form is designed to be applicable across disciplines (i.e., psychology, economics, law, physics, or any other field) and across review types (i.e., scoping review, review of qualitative studies, meta-analysis, or any other type of review). That means that the reviewed records may include research reports as well as archive documents, case law, books, poems, etc. Items were selected and formulated to optimize broad applicability instead of specificity, forgoing some benefits afforded by a tighter focus. This PRISMA 2020 compliant form is a fallback for more specialized forms and can be used if no specialized form or registration platform is available. When accessing this form on the Open Science Framework website, users will therefore first be guided to specialized forms when they exist. In addition to this use case, the form can also serve as a starting point for creating registration forms that cater to specific fields or review types.
The posterior superior temporal sulcus (pSTS) is a critical node in a network specialized for perceiving emotional facial expressions that is reciprocally connected with early visual cortices (V1/V2). Current models of perceptual decision-making increasingly assign relevance to recursive processing for visual recognition. However, it is unknown whether inducing plasticity into reentrant connections from pSTS to V1/V2 impacts emotion perception. Using a combination of electrophysiological and neurostimulation methods, we demonstrate that strengthening the connectivity from pSTS to V1/V2 selectively increases the ability to perceive facial expressions associated with emotions. This behavior is associated with increased electrophysiological activity in both these brain regions, particularly in V1/V2, and depends on specific temporal parameters of stimulation that follow Hebbian principles. Therefore, we provide evidence that pSTS-to-V1/V2 back-projections are instrumental to perception of emotion from facial stimuli and functionally malleable via manipulation of associative plasticity.
Objective This study proposes to identify and validate weighted sensor stream signatures that predict near-term risk of a major depressive episode and future mood among healthcare workers in Kenya. Approach The study will deploy a mobile application (app) platform and use novel data science analytic approaches (Artificial Intelligence and Machine Learning) to identifying predictors of mental health disorders among 500 randomly sampled healthcare workers from five healthcare facilities in Nairobi, Kenya. Expectation This study will lay the basis for creating agile and scalable systems for rapid diagnostics that could inform precise interventions for mitigating depression and ensure a healthy, resilient healthcare workforce to develop sustainable economic growth in Kenya, East Africa, and ultimately neighboring countries in sub-Saharan Africa. This protocol paper provides an opportunity to share the planned study implementation methods and approaches. Conclusion A mobile technology platform that is scalable and can be used to understand and improve mental health outcomes is of critical importance.
The HOLLYWOOD sign is arguably the world's most famous language object. Emblematic of prestige and cultural capital, the sign can be found not just in Los Angeles, but in citations all over the world. Beginning with the history of its valorization, HOLLYWOOD is shown to emanate symbolic value through a set of enregistered semiotic features. Drawing upon a set of globally sourced citations of HOLLYWOOD, the circulation and stratified bundling of size, emplacement, alignment, typeface, and color indicates how the citation of language objects is mediated by political economy. A process of diffuse citation is further observed, in which the quotation of language features is not overt, but the source of emanation is still tangible, revealing HOLLYWOOD as the source of a global linguistic-semiotic register. As this register circulates in citations overt and diffuse, language objects are revealed as key sites for the reproduction of commodity values.
In this study, we assessed the extent of selective hypothesis reporting in psychological research by comparing the hypotheses found in a set of 459 preregistrations with the hypotheses found in the corresponding articles. We found that more than half of the preregistered studies we assessed contained omitted hypotheses ( N = 224; 52%) or added hypotheses ( N = 227; 57%), and about one-fifth of studies contained hypotheses with a direction change ( N = 79; 18%). We found only a small number of studies with hypotheses that were demoted from primary to secondary importance ( N = 2; 1%) and no studies with hypotheses that were promoted from secondary to primary importance. In all, 60% of studies included at least one hypothesis in one or more of these categories, indicating a substantial bias in presenting and selecting hypotheses by researchers and/or reviewers/editors. Contrary to our expectations, we did not find sufficient evidence that added hypotheses and changed hypotheses were more likely to be statistically significant than nonselectively reported hypotheses. For the other types of selective hypothesis reporting, we likely did not have sufficient statistical power to test for a relationship with statistical significance. Finally, we found that replication studies were less likely to include selectively reported hypotheses than original studies. In all, selective hypothesis reporting is problematically common in psychological research. We urge researchers, reviewers, and editors to ensure that hypotheses outlined in preregistrations are clearly formulated and accurately presented in the corresponding articles.
Although citizenship behaviours can vary for each individual over the course of months, weeks, or even days, research has predominantly looked at this concept through a static lens. In this paper, we combine a between- and within-person level approach in examining the circumstances under which people engage in organizational citizenship behaviours towards the organization (OCBO). Drawing from conservation of resources theory, we tested how fluctuations in resources, represented by need satisfaction, relate to fluctuations in OCBO at three different levels: between individuals, within individuals, as well as over time. Seventy-three volunteers working in holiday camps filled out a daily diary study for eight consecutive working days, measuring OCBO and need satisfaction (N = 439). Multilevel regression analyses revealed that individuals who were on average higher in need satisfaction performed on average more OCBOs. At the within-person level, higher momentary levels of need satisfaction related to higher levels of OCBO, whereas over time, changes in need satisfaction were positively associated to changes in OCBO. Our focus on the evolvement of OCBOs over individuals and over time gives us a more complete account of not only who engages in OCBO but also under which circumstances, an understanding that comes with important implications both for theory and practice.
Including a large number of predictors in the imputation model underlying a multiple imputation (MI) procedure is one of the most challenging tasks imputers face. A variety of high-dimensional MI techniques can help, but there has been limited research on their relative performance. In this study, we investigated a wide range of extant high-dimensional MI techniques that can handle a large number of predictors in the imputation models and general missing data patterns. We assessed the relative performance of seven high-dimensional MI methods with a Monte Carlo simulation study and a resampling study based on real survey data. The performance of the methods was defined by the degree to which they facilitate unbiased and confidence-valid estimates of the parameters of complete data analysis models. We found that using lasso penalty or forward selection to select the predictors used in the MI model and using principal component analysis to reduce the dimensionality of auxiliary data produce the best results.
Single-cell RNA sequencing data is among the most interesting and impactful data of today and the sizes of the available datasets are increasing drastically. There is a substantial need for learning from large datasets, causing nontrivial challenges, especially in hardware. Loading even a single dataset into the memory of an ordinary, off-the-shelf computer can be infeasible, and using computing servers might not always be an option. This paper presents continual learning as a solution to such hardware bottlenecks. The findings of cell-type classification demonstrate that XGBoost and Catboost algorithms, when implemented in a continual learning framework, exhibit superior performance compared to the best-performing static classifier. We achieved up to 10% higher median F1 scores than the state-of-the-art on the most challenging datasets. On the other hand, these algorithms can suffer from variations in data characteristics across diverse datasets, pointing out indications of the catastrophic forgetting problem.
Blockchain is employed as a technology holding a solutionist promise, while at the same time, it is hard for the promissory blockchain applications to become realized. Not only is the blockchain protocol itself not foolproof, but when we move from “blockchain in general” to “blockchain in particular,” we see that new governance structures and ways of collaborating need to be developed to make blockchain applications work /become real . The qualities ascribed to (blockchain) technology in abstracto are not to be taken for granted in blockchain applications in concreto . The problem of trust, therefore, does not become redundant simply through the employment of “trustless” blockchain technology. Rather, on different levels, new trust relations have to be constituted. In this article, we argue that blockchain is a productive force, even if it does not solve the problem of trust, and sometimes regardless of blockchain technology not implemented after all. The values that underpin this seemingly “trustless technology” such as control , efficiency , and privacy and the story that is told about these values co‐shape the actions of stakeholders and, to a certain extent, pre‐sort the path of application development. We will illustrate this by presenting a case study on the Red Button ( De Rode Knop ), a Dutch pilot to develop a blockchain‐based solution that enables people who are in debt to communicate to their creditors that they are, together with the municipality, working on improving their situation, thereby requesting a temporary suspension from debt collection.
Background This study aimed to explore the experiences and needs of (ex-)welfare benefit recipients from a large urban municipality in the Netherlands regarding their welfare-to-work services and their case workers. Methods Quantitative data from a client satisfaction survey that was filled out by 213 people (response rate 11%) who received welfare-to-work services was combined with results from four group interviews with a total of 15 people receiving welfare-to-work services. Verbatim transcripts from the interviews were analysed using inductive thematic analysis. Results The survey results showed that most clients were reasonably satisfied with the welfare-to-work services they received. Four main themes emerged from the interviews: (1) experiences and needs related to the interactions between case workers and benefit recipients; (2) the need for tailored services; (3) the complicating role of the system the case workers operate within; and (4) the existence of differences between case workers regarding how strict they followed the rules and to what extent they connected with their clients on a personal level. Conclusions Our findings show that clients were reasonably satisfied with the welfare-to-work services provided by their municipality but that there is still room for improvement. Case workers should have good social skills to build a trusting relationship with the client, welfare-to-work services should be tailored to the individual, and clear concise information should be given to welfare benefit recipients, especially with regard to what benefit recipients can expect of the municipality and the case workers, given their dual role in supporting (re-)integration to work and monitoring benefit eligibility.
This study presents unique empirical evidence on the importance of moral support for performance. We take advantage of an unusual change in Argentinean football legislation. In August 2013, as a matter of national security, the Argentinean government forced all teams in the first division to play their games with only home team supporters. Supporters of visiting teams were not allowed to be in stadiums during league games. We estimate the effect of this exogenous variation of supporters on team performance and find that visiting teams are on average about 20% more likely to lose without the presence of their supporters. As a counterfactual experiment, we run the analysis using contemporaneous cup games, where the visiting team supporters were allowed to attend, and find no effect of the ban on those games. Moreover, the ban does not seem to bias the decisions of referees, the lineups, or the market value of the teams, suggesting that the effect on team performance is due to the loss of moral support rather than other factors. Finally, we find that moral support is more relevant when there is equal power between the two teams, suggesting that moral support compensates the power of monetary resources. This paper provides a proof of concept of moral support as an important nonmonetary resource, even in settings with high monetary incentives. This paper was accepted by Yan Chen, behavioral economics and decision analysis. Supplemental Material: The e-companion and data are available at https://doi.org/10.1287/mnsc.2021.02906 .
Background Although family photos are often used in the psychosocial care for people with dementia, little is known about the use and effectiveness of generic photos. This systematic literature review explored psychosocial interventions using generic photos for people with dementia, and the effects they have on their social interaction and/or mood and/or quality of life. In addition, it was investigated whether these interventions made use of technology in its implementation. Methods A systematic search on the following databases was performed: PubMed, Embase, APA PsychInfo, Cinahl, Web of Science, Scopus and Cochrane Central. Inclusion and exclusion criteria were based on the PICO model (Population, Intervention, Comparison, Outcome), and quality assessment was undertaken using the Weight of Evidence Framework. Narrative synthesis was undertaken to summarize study characteristics- settings and designs, type of psychosocial interventions identified, type of photos and technology used, outcome measures, and results. Results A total of 2,035 results were found, however after title, abstract and full-text screening, a total of 8 studies were included. The most common psychosocial intervention using generic photos was found to be reminiscence therapy, followed by art-viewing activities. In studies that used technology, it was reported that viewing digitalized photos were either similar or better to conventional printed photos. Despite photos being generic, it was found that generic photos could still hold personal significance to the person with dementia. Some positive and significant effects were found for the outcomes social interaction, mood and quality of life, though no study evaluated all three outcomes. Two studies were rated as having high overall quality, 4 were rated as fair, and 2 studies had a low quality assessment rating. Conclusion Studies found using generic photos were limited, showing varying outcomes and methodological quality. Firm conclusions on the effectiveness of interventions using generic photos are not possible. However, the use of generic photos in psychosocial interventions is a promising area for future research. Researchers should consider studies with better methodological quality and larger samples; and qualitative studies where the intention is to get better insight into successful implementation and impact mechanisms of such psychosocial interventions. Trial registration n/a.
Introduction Throughout the COVID-19 pandemic, two ICU triage guidelines were developed in the Netherlands—the Pandemic Guideline and the Guideline Code Black—ostensibly to tackle the threat of absolute care scarcity. Healthcare guidelines are generally based on evidence and prescribe what healthcare professionals should do in certain situations. We used the institutional work perspective, focusing on the human agency to create, maintain, and/or disrupt institutional structures, to study the development of these guidelines and observed that they did a lot more than just offering guidance to healthcare professionals. By including the Actor Network Theory (ANT) perspective on materiality’s agency in our theoretical lens, we show how guidelines, as a materiality—a non-human artefact—interact with human actors and as such shape and are shaped by the social context. Methods 17 online documents were analyzed. This analysis resulted in a timeline of events, which was used to identify key actors in the guideline development process. We included 12 purposely sampled respondents for semi-structured interviews. Interview transcripts were thematically coded. Results During their development, the guidelines played a role in diverse forms of institutional work performed by a variety of stakeholders to: 1) strengthen the medical profession of intensivists; 2) control the medical profession; 3) gain support for the actions needed; and 4) protect the medical profession. In turn, institutional work performed by these stakeholders also shaped the guidelines, indicating the two-sidedness of the interaction between human actors and materiality in the healthcare context. Conclusions This case study shows how guidelines as a materiality and human actors interact and influence each other in multiple ways, resulting in institutional work and thus shaping two institutions: the guidelines and healthcare professions. We found that a materiality does not stand on its own but influences and shapes institutional work in relation to human actors. By studying the development, implementation, and use of the guidelines, we gained more empirical insights into the impact materiality can have on the social context of healthcare and how this can influence existing institutional environments.
The potential impacts that video games might have on players’ well-being are under increased scrutiny but poorly understood empirically. Although extensively studied, a level of understanding required to address concerns and advise policy is lacking, at least partly because much of this science has relied on artificial settings and limited self-report data. We describe a large and detailed dataset that addresses these issues by pairing video game play behaviors and events with in-game well-being and motivation reports. 11,080 players (from 39 countries) of the first person PC game PowerWash Simulator volunteered for a research version of the game that logged their play across 10 in-game behaviors and events (e.g. task completion) and 21 variables (e.g. current position), and responses to 6 psychological survey instruments via in-game pop-ups. The data consists of 15,772,514 gameplay events, 726,316 survey item responses, and 21,202,667 additional gameplay status records, and spans 222 days. The data and codebook are publicly available with a permissive CC0 license.
The debate over John Rawls's two principles of justice is ongoing. Among the many controversies, there is a hierarchal relationship within the second principle of justice. Scholars have long discussed the meaning and desirability of the lexical priority of the principle of fair equality of opportunity over the difference principle. The present article explores this topic from an unusual and underdeveloped angle. The controversy will be analyzed through the theological categories developed by the young Rawls in his work A Brief Inquiry into the Meaning of Sin and Faith . There, Rawls rejected the Pelagian heresy, according to which human beings can merit their salvation in a contractual relationship with God. Conversely, they can perform actions and deeds with implications for their eternal life by virtue of the gratuitous and undeserved intervention of God. I will show how this theological understanding became a political idea expressed precisely in the content and structure of the second principle of justice. As final remarks, I will argue that the appeal to the young Rawls's idea can be a suitable, yet unexpected, way in which the comprehensive doctrine of Christianity can support the political conception of justice expressed in Rawls's second major work, Political Liberalism.
Is the trust that participants have in their pension fund affected by its funding ratio (i.e., asset/liabilities ratio)? Based on survey, carried out in October 2021, among Dutch pension fund participants we link our survey data to the funding ratio of their pension fund as registered by the pension regulator. First, we show that the level of the funding ratio of their pension fund is positively associated with the trust level of participants. Pension funds with large buffers are associated with a high level of trust. Second, sub-group analyses show that the trust of younger participants is weakly related to the level of the funding ratio and this association is strong and positive for older (55+)/retired participants. It suggests that an interest in or awareness about the financial health of one's pension fund is associated with a higher responsiveness of participants in terms of trust. And third, firm-based pension funds enjoy a higher level of trust compared to sector-based pension funds.
Existing literature shows the importance of maternity leave as a strategy for women to balance work and family responsibilities. However, only a few studies focused on the long-run impact of maternity leave length on maternal health. Therefore, how exactly they are related remains unclear. We examine women’s selection into different lengths of maternity leave as a potential explanation for the inconclusive findings in the literature on the association between maternity leave and maternal health. This study aims to unravel the association between maternity leave length and mothers’ long-term health in Germany. Drawing on detailed data from the German Statutory Pension Fund (DRV), we estimated the association between maternity leave length and sick leave from 3 years following their child’s birth for 4,243 women living in Germany in 2015 by applying discrete-time logistic regression. Our results show a negative relationship between maternity-leave length and long-term maternal health, likely driven by negative health selection. Long maternity leaves of more than 24 months were associated with worse maternal health in the long run, while a positive association emerged for vulnerable women with pre-existing health problems.
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13,052 members
Wouter De Baene
  • Department of Cognitive Neuropsychology
Marieke Kroezen
  • "Tranzo" Scientific Center for Care and Welfare
Christof Van Mol
  • Department of Sociology
Karim Schelkens
  • Cardinal Willebrands Research Center "CWRC"
Stefaan Blancke
  • Department of Philosophy
Tilburg, Netherlands