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802 results on '"van Exel, Job"'

64. What are the motivating and hindering factors for health professionals to undertake new roles in hospitals? A study among physicians, nurses and managers looking at breast cancer and acute myocardial infarction care in nine countries

Author

Bond, Christine, MUNROS CO-PI, Elliott, Robert, Bruhn, Hanne, Mclaggan, Debbie, Zvonickova, Marie, Hodyc, Daniel, Svobodová, Hana, Sutton, Matthew, Gibson, Jonathan, McBride, Anne, Zander, Britta, Coretti, Silvia, Ruggeri, Matteo, van Exel, Job, de Bont, Antoinette, Luyendjk, Marianne, Askildsen, Jan Erik, Islam, Muhammad Kamrul, Opsahl, Jon, Sobczak, Alicja, Dykowska, Grazyna, Winter, Małgorzata, Ostrowska, Sabina, Mijal, Michal, Basihos, Seda, Dogan, Meryem, Güldem Ökem, Z., Köppen, Julia, Maier, Claudia B., and Busse, Reinhard

Published
2018
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67. Patterns in Clinical Students' Self-Regulated Learning Behavior: A Q-Methodology Study

Author

Berkhout, Joris J., Teunissen, Pim W., Helmich, Esther, van Exel, Job, van der Vleuten, Cees P., and Jaarsma, Debbie A.

Abstract

Students feel insufficiently supported in clinical environments to engage in active learning and achieve a high level of self-regulation. As a result clinical learning is highly demanding for students. Because of large differences between students, supervisors may not know how to support them in their learning process. We explored patterns in undergraduate students' self-regulated learning behavior in the clinical environment, to improve tailored supervision, using Q-methodology. Q-methodology uses features of both qualitative and quantitative methods for the systematic investigation of subjective issues by having participants sort statements along a continuum to represent their opinion. We enrolled 74 students between December 2014 and April 2015 and had them characterize their learning behavior by sorting 52 statements about self-regulated learning behavior and explaining their response. The statements used for the sorting were extracted from a previous study. The data was analyzed using by-person factor analysis to identify clusters of individuals with similar sorts of the statements. The resulting factors and qualitative data were used to interpret and describe the patterns that emerged. Five resulting patterns were identified in students' self-regulated learning behavior in the clinical environment, which we labelled: Engaged, Critically opportunistic, Uncertain, Restrained and Effortful. The five patterns varied mostly regarding goals, metacognition, communication, effort, and dependence on external regulation for learning. These discrete patterns in students' self-regulated learning behavior in the clinical environment are part of a complex interaction between student and learning context. The results suggest that developing self-regulated learning behavior might best be supported regarding individual students' needs.

Published
2017
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79. From representing views to representativeness of views: Illustrating a new (Q2S) approach in the context of health care priority setting in nine European countries

Author

Donaldson, Cam, Baker, Rachel, Mason, Helen, Pennington, Mark, Bell, Sue, Jones-Lee, Michael, Wildman, John, Lancsar, Emily, Robinson, Angela, Bacon, Philomena, Olsen, Jan Abel, Gyrd-Hansen, Dorte, Kjaer, Trine, Beck, Mickael, Nielsen, Jytte Seested, Persson, Ulf, Bergman, Annika, Protière, Christel, Moatti, Jean Paul, Luchini, Stephane, Pinto Prades, Jose Luis, Mataria, Awad, Khatib, Rana, Jaralla, Yara, Brouwer, Werner, van Exel, Job, Topór-Madry, Roman, Kozierkiewicz, Adam, Poznanski, Darek, Kocot, Ewa, Gulácsi, László, Péntek, Márta, Kharroubi, Samer, Manca, Andrea, and Shackley, Phil

Published
2016
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84. Spanningen in de samenwerking tussen cliënt, mantelzorger en zorgverlener

Author

Steeghs, Violet, Gräler, Leonoor, De Cuba, Stefanie, Wachter, Marte, van Muijden, Teyler, van Exel, Job, van de Bovenkamp, Hester, Health Care Governance (HCG), and Health Economics (HE)

Abstract

In toenemende mate wordt verwacht dat mantelzorgers een actieve rol spelen in de zorg, ook als hun familielid verhuist naar een zorginstelling. Dit vraagt om samenwerking tussen mantelzorgers, cliënten en professionals. Deze samenwerking gaat niet vanzelf goed. Wat is belangrijk bij het verbeteren van de samenwerking? Dat laten we in dit artikel zien

Published
2023

90. In Absence of Absenteeism: Some Thoughts on Productivity Costs in Economic Evaluations in a Post-corona Era

Author

Brouwer, Werner, Huls, Samare, Sajjad, Ayesha, Kanters, Tim, Roijen, Leona Hakkaart-van, van Exel, Job, Erasmus School of Health Policy & Management, Health Technology Assessment (HTA), Applied Economics, and Health Economics (HE)

Subjects
Pharmacology, Editorial, Cost of Illness, SDG 3 - Good Health and Well-being, Cost-Benefit Analysis, Health Policy, Absenteeism, Public Health, Environmental and Occupational Health, Humans, Efficiency
Published
2021

91. Caring for a Child with Autism Spectrum Disorder and Parents' Quality of Life: Application of the CarerQol

Author

Hoefman, Renske, Payakachat, Nalin, and van Exel, Job

Abstract

This study describes the impact of caregiving on parents of children with autism spectrum disorders (ASDs). Secondly, we investigate construct validation of the care-related quality of life instrument (CarerQol) measuring impact of caregiving. Primary caregivers of children with ASDs were included. Many parents experienced considerable problems combining daily activities with care, had financial problems or suffered from depressive mood. Validity tests showed that a higher impact of caring on the CarerQol was positively associated with higher subjective burden and lower family quality of life. Most of the associations between CarerQol scores and background characteristics confirmed previous research. The CarerQol validly measures the impact of caregiving for children with ASDs on caregivers in our sample. The CarerQol may therefore be useful for including parent outcomes in research on ASDs.

Published
2014
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92. Psychometric evaluation of the Mental Health Quality of Life (MHQoL) instrument in seven European countries

Author

Enzing, Joost J., van Krugten, Frédérique C. W., Sabat, Iryna, Neumann-Bohme, Sebastian, Boer, Bert, Saskia, Knies., Brouwer, Werner B. F., Barros, Pedro P., van Exel, Job, Schreyogg, Jonas, Stargardt, Tom, Torbica, Aleksandra, Health Economics (HE), Health Technology Assessment (HTA), Health Care Governance (HCG), and Erasmus MC other

Subjects
Psychometrics, PREFERENCE BASED MEASURES, Public Health, Environmental and Occupational Health, MHQOL, MENTAL HEALTH, MHQOL, PREFERENCE BASED MEASURES, PSYCHOMETRIC EVALUATION, QUALITY OF LIFE, Reproducibility of Results, General Medicine, Cross-Sectional Studies, Mental Health, SDG 3 - Good Health and Well-being, Surveys and Questionnaires, Quality of Life, Humans, PSYCHOMETRIC EVALUATION
Abstract

Introduction To make efficient use of available resources, decision-makers in healthcare may assess the costs and (health) benefits of health interventions. For interventions aimed at improving mental health capturing the full health benefits is an important challenge. The Mental Health Quality of Life (MHQoL) instrument was recently developed to meet this challenge. Evaluating the pyschometric properties of this instrument in different contexts remains important. Methods A psychometric evaluation of the MHQoL was performed using existing international, cross-sectional data with 7155 respondents from seven European countries (Denmark, France, Germany, Italy, Portugal, The Netherlands, Portugal and the United Kingdom). Reliability was examined by calculating Cronbach’s alpha, a measure of internal consistency of the seven MHQoL dimensions, and by examining the association of the MHQoL sum scores with the MHQoL-VAS scores. Construct validity was examined by calculating Spearman’s rank correlation coefficients between the MHQoL sum scores and EQ-5D index scores, EQ-VAS scores, EQ-5D anxiety/depression dimension scores, ICECAP-A index scores and PHQ-4 sum scores. Results The MHQoL was found to have good internal consistency for all seven countries. The MHQoL sum score and the MHQoL-VAS had a high correlation. Spearman’s rank correlation coefficients were moderate to very high for all outcomes. Conclusion Our results, based on data gathered in seven European countries, suggest that the MHQoL shows favourable psychometrical characteristics. While further validation remains important, the MHQoL may be a useful instrument in measuring mental health-related quality of life in the Western European context.

Published
2022

93. The Value of Health - Empirical Issues when Estimating the Monetary Value of a QALY Based on Well-Being Data

Author

Stöckel, Jannis, Himmler, Sebastian, van Exel, Job, and Brouwer, Werner

Abstract

The economic evaluation of new healthcare technologies or broader policy interventions impacting population health using cost-benefit or cost-utility analyses requires valid estimates of the monetary equivalent of health gains, measured for example as € per quality-adjusted-life-years (QALYs). One promising approach is the well-being valuation method that utilizes large-scale survey data to calculate the monetary value of non-market goods using a compensating income variation approach. The aim of this study was to use data from the German Socio-Economic Panel (SOEP) to perform such a well-being valuation for QALYs. To address endogeneity concerns with respect to the impact of income on life satisfaction we use an instrumental variable based approach exploiting exogenous variation of predicted incomes across time and industry/occupation groups. The file repository contains the initial working paper resulting from this project as well as an updated version of the Stata code that can be used to replicate our findings. This project was accepted for publication in the journal Health Economics. The open access journal publication can be found here: https://onlinelibrary.wiley.com/doi/10.1002/hec.4279 All analyses were conducted using Stata 16.

Published
2022
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98. Q methodology and Questionnaires – from small ‘p’ to big ‘N’

Author

Baker, Rachel, van Exel, Job, and Health Economics (HE)

Abstract

Q methodology combines quantitative and qualitative research methods to explore questions that are qualitative in nature. Q studies produce rich insights into the views, values or beliefs that exist in relation to a topic. Q is not designed for questions of measurement and distribution, but Q analysis generates some numeric information that can be used to inform surveys. In this chapter, we describe the possibilities (and our experiences) of exploring the distribution of Q factors in larger populations using survey research (Q to survey or Q2S for short).

Published
2022

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