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1,248 results on '"Lesaffre, Emmanuel"'

104. Prevalence, patterns and predictors of nursing care left undone in European hospitals: results from the multicountry cross-sectional RN4CAST study

Author

Ausserhofer, Dietmar, Zander, Britta, Busse, Reinhard, Schubert, Maria, De Geest, Sabina, Rafferty, Anne Marie, Ball, Jane, Scott, Anne, Kinnunen, Juha, Heinen, Maud, Strømseng Sjetne, Ingeborg, Moreno-Casbas, Teresa, Kózka, Maria, Lindqvist, Rikard, Diomidous, Marianna, Bruyneel, Luk, Sermeus, Walter, Aiken, Linda H, Schwendimann, René, Sermeus, Walter, Van den Heede, Koen, Bruyneel, Luk, Lesaffre, Emmanuel, Diya, Luwis, Aiken, Linda, Smith, Herbert, Sloane, Douglas, Rafferty, Anne Marie, Ball, Jane, Jones, Simon, Griffiths, Peter, Kinnunen, Juha, Ensio, Anneli, Jylhä, Virpi, Busse, Reinhard, Zander, Britta, Blümel, Miriam, Mantas, John, Zikos, Dimitrios, Diomidous, Marianna, Scott, Anne, Matthews, Anne, Staines, Anthony, Sjetne, Ingeborg Strømseng, Brzostek, Tomasz, Kózka, Maria, Brzyski, Piotr, Moreno-Casbas, Teresa, Fuentelsaz-Gallego, Carmen, Gonzalez-María, Esther, Gomez-Garcia, Teresa, Tishelman, Carol, Lindqvist, Rikard, Smeds, Lisa, Geest, Sabina De, Schubert, Maria, Schwendimann, René, Ausserhofer, Dietmar, Heinen, Maud, Schoonhoven, Lisette, and van Achterberg, Theo

Published
2014
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106. Bayesian model selection for multilevel mediation models.

Author

Ariyo, Oludare, Lesaffre, Emmanuel, Verbeke, Geert, Huisman, Martijn, Heymans, Martijn, and Twisk, Jos

Subjects
*MULTILEVEL models, *MEDIATION (Statistics), *LONGITUDINAL method
Abstract

Mediation analysis is often used to explore the complex relationship between two variables through a third mediating variable. This paper aims to illustrate the performance of the deviance information criterion, the pseudo‐Bayes factor, and the Watanabe–Akaike information criterion in selecting the appropriate multilevel mediation model. Our focus will be on comparing the conditional criteria (given random effects) versus the marginal criteria (averaged over random effects) in this respect. Most of the previous work on the multilevel mediation models fails to report the poor behavior of the conditional criteria. We demonstrate here the superiority of the marginal version of the selection criteria over their conditional counterpart in the mediated longitudinal settings through simulation studies and via an application to data from the Longitudinal Aging Study of the Amsterdam study. In addition, we demonstrate the usefulness of our self‐written R function for multilevel mediation models. [ABSTRACT FROM AUTHOR]

Published
2022
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108. 12-hr shifts in nursing: Do they remove unproductive time and information loss or do they reduce education and discussion opportunities for nurses? A cross-sectional study in 12 European countries

Author

Dall'Ora, Chiara Griffiths, Peter Emmanuel, Talia Rafferty, Anne Marie Ewings, Sean Sermeus, Walter Van den Heede, Koen and Bruyneel, Luk Lesaffre, Emmanuel Aiken, Linda Smith, Herbert Sloane, Douglas Jones, Simon Ball, Jane and Kinnunen, Juha Ensio, Anneli Jylha, Virpi Busse, Reinhard and Zander, Britta Bluemel, Miriam Mantas, John Diomidous, Marianna Scott, Anne Matthews, Anne Staines, Anthony and Sjetne, Ingeborg Stromseng Holter, Inger Margrethe Brzostek, Tomasz Kozka, Maria Brzyski, Piotr Moreno-Casbas, Teresa and Fuentelsaz-Gallego, Carmen Gonzalez-Maria, Esther Gomez-Garcia, Teresa Tishelman, Carol Lindqvist, Rikard Smeds-Alenius, Lisa De Geest, Sabina Schubert, Maria Schwendimann, Rene and Ausserhofer, Dietmar van Achterberg, Theo Heinen, Maud and Schoonhoven, Lisette RN4CAST Consortium

Abstract

Aims and objectives To examine the association between registered nurses’ (referred to as “nurses” for brevity) shifts of 12 hr or more and presence of continuing educational programmes; ability to discuss patient care with other nurses; assignments that foster continuity of care; and patient care information being lost during handovers. Background The introduction of long shifts (i.e., shifts of 12 hr or more) remains controversial. While there are claims of efficiency, studies have shown long shifts to be associated with adverse effects on quality of care. Efficiency claims are predicated on the assumption that long shifts reduce overlaps between shifts; these overlaps are believed to be unproductive and dangerous. However, there are potentially valuable educational and communication activities that occur during these overlaps. Design Cross-sectional survey of 31,627 nurses within 487 hospitals in 12 European countries. Methods The associations were measured through generalised linear mixed models. The study methods were compliant with the STROBE checklist. Results When nurses worked shifts of 12 hr or more, they were less likely to report having continuing educational programmes; and time to discuss patient care with other nurses, compared to nurses working 8 hr or less. Nurses working shifts of 12 hr or more were less likely to report assignments that foster continuity of care, albeit the association was not significant. Similarly, working long shifts was associated with reports of patient care information being lost during handovers, although association was not significant. Conclusion Working shifts of 12 hr or more is associated with reduced educational activities and fewer opportunities to discuss patient care, with potential negative consequences for safe and effective care. Relevance to clinical practice Implementation of long shifts should be questioned, as reduced opportunity to discuss care or participate in educational activities may jeopardise the quality and safety of care for patients.

Published
2020

109. Appendix_r0-3_clean – Supplemental material for Summarising salient informationon historical controls: A structured assessment of validity and comparability across studies

Author

Hatswell, Anthony, Freemantle, Nick, Baio, Gianluca, Lesaffre, Emmanuel, and Rosmalen, Joost Van

Subjects
FOS: Clinical medicine, 160807 Sociological Methodology and Research Methods, 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified, FOS: Sociology
Abstract

Supplemental material, Appendix_r0-3_clean for Summarising salient informationon historical controls: A structured assessment of validity and comparability across studies by Anthony Hatswell, Nick Freemantle, Gianluca Baio, Emmanuel Lesaffre and Joost van Rosmalen in Clinical Trials

Published
2020
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115. Assessment of oral health in older adults by non-dental professional caregivers—development and validation of a photograph-supported oral health–related section for the interRAI suite of instruments

Author

Krausch-Hofmann, Stefanie, primary, Tran, Trung Dung, additional, Janssens, Barbara, additional, Declerck, Dominique, additional, Lesaffre, Emmanuel, additional, de Almeida Mello, Johanna, additional, Declercq, Anja, additional, De Lepeleire, Jan, additional, and Duyck, Joke, additional

Published
2020
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118. Model selection for Bayesian linear mixed models with longitudinal data: Sensitivity to the choice of priors.

Author

Ariyo, Oludare, Lesaffre, Emmanuel, Verbeke, Geert, and Quintero, Adrian

Subjects
*PANEL analysis, *RANDOM matrices, *COVARIANCE matrices, *MATRIX effect, *DATA modeling
Abstract

We explore the performance of three popular Bayesian model-selection criteria when vague priors are used for the covariance parameters of the random effects in a linear mixed-effects model (LMM) using an extensive simulation study. In a previous paper, we have shown that the conditional selection criteria perform worse than their marginal counterparts. It is known that for some "vague" priors, their impact on the estimated model parameters can be non-negligible, e.g., for the priors of the covariance matrix of the random effects in a longitudinal LMM. We evaluate here the impact of vague priors for the covariance matrix of the random effects on selecting the correct LMM using classical Bayesian selection criteria. We consider marginal and conditional criteria. For the random intercept case, we assign different vague priors to the variance parameters. With two or more random effects, we considered five different specifications of inverse-Wishart (IW) prior, five different separation priors and a joint prior. The results show again the better performance of the marginal over the conditional criteria and the superiority of joint and separation priors over IW in all settings. We also illustrate the performance of the selection criteria on a practical dataset. [ABSTRACT FROM AUTHOR]

Published
2022
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119. The power prior with multiple historical controls for the linear regression model.

Author

Banbeta, Akalu, Lesaffre, Emmanuel, and van Rosmalen, Joost

Subjects
*FALSE positive error, *REGRESSION analysis, *LINEAR operators, *ERROR rates
Abstract

Combining historical control data with current control data may reduce the necessary study size of a clinical trial. However, this only applies when the historical control data are similar enough to the current control data. Several Bayesian approaches for incorporating historical data in a dynamic way have been proposed, such as the meta‐analytic‐predictive (MAP) prior and the modified power prior (MPP). Here we discuss the generalization of the MPP approach for multiple historical control groups for the linear regression model. This approach is useful when the controls differ more than in a random way, but become again (approximately) exchangeable conditional on covariates. The proposed approach builds on the approach previously developed for binary outcomes by some of the current authors. Two MPP approaches have been developed with multiple controls. The first approach assumes independent powers, while in the second approach the powers have a hierarchical structure. We conducted several simulation studies to investigate the frequentist characteristics of borrowing methods and analyze a real‐life data set. When there is between‐study variation in the slopes of the model or in the covariate distributions, the MPP approach achieves approximately nominal type I error rates and greater power than the MAP prior, provided that the covariates are included in the model. When the intercepts vary, the MPP yields a slightly inflated type I error rate, whereas the MAP does not. We conclude that our approach is a worthy competitor to the MAP approach for the linear regression case. [ABSTRACT FROM AUTHOR]

Published
2022
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122. Preface

Author

Declerck, Dominique, Lesaffre, Emmanuel, Kargul, Betul, and Bekiroglu, Nural

Published
2012
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143. 12-hr shifts in nursing: Do they remove unproductive time and information loss or do they reduce education and discussion opportunities for nurses? A cross-sectional study in 12 European countries

Author

Dall'Ora, Chiara, Griffiths, Peter, Emmanuel, Talia, Rafferty, Anne Marie, Ewings, Sean, Sermeus, Walter, Van den Heede, Koen, Bruyneel, Luk, Lesaffre, Emmanuel, Aiken, Linda, Smith, Herbert, Sloane, Douglas, Jones, Simon, Ball, Jane, Kinnunen, Juha, Ensio, Anneli, Jylha, Virpi, Busse, Reinhard, Zander, Britta, Bluemel, Miriam, Mantas, John, Diomidous, Marianna, Scott, Anne, Matthews, Anne, Staines, Anthony, Sjetne, Ingeborg Stromseng, Holter, Inger Margrethe, Brzostek, Tomasz, Kozka, Maria, Brzyski, Piotr, Moreno-Casbas, Teresa, Fuentelsaz-Gallego, Carmen, Gonzalez-Maria, Esther, Gomez-Garcia, Teresa, Tishelman, Carol, Lindqvist, Rikard, Smeds-Alenius, Lisa, De Geest, Sabina, Schubert, Maria, Schwendimann, Rene, Ausserhofer, Dietmar, van Achterberg, Theo, Heinen, Maud, Schoonhoven, Lisette, National Institute of Nursing Research, National Institutes of Health, Norwegian Nurses Organisation Norwegian Knowledge Centre for the Health Services, Swedish Association of Health Professionals, Karolinska Institutet, Norwegian Knowledge Centre for the Health Services, European Union, Ministerio de Ciencia y Tecnología (España), NIH - National Institute of Nursing Research (NINR) (Estados Unidos), National Institutes of Health (Estados Unidos), and Unión Europea

Subjects
Male, Education, Continuing, Cross-sectional study, IMPACT, media_common.quotation_subject, Interprofessional Relations, Information loss, Nursing, Nursing Staff, Hospital, 12-hr shifts, Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18], 03 medical and health sciences, 0302 clinical medicine, nursing, Surveys and Questionnaires, LENGTH, Relevance (law), Humans, Quality (business), 030212 general & internal medicine, 12‐hr shifts, General Nursing, media_common, education, Science & Technology, 030504 nursing, communication, 4. Education, Shift Work Schedule, General Medicine, ASSOCIATION, Original Articles, Continuity of Patient Care, patient handoff, Checklist, Hospitals, 3. Good health, Patient Handoff, Clinical Practice, Europe, Cross-Sectional Studies, Continuity of care, Female, Original Article, continuing, 0305 other medical science, Psychology, Life Sciences & Biomedicine
Abstract

To examine the association between registered nurses' (referred to as "nurses" for brevity) shifts of 12 hr or more and presence of continuing educational programmes; ability to discuss patient care with other nurses; assignments that foster continuity of care; and patient care information being lost during handovers. The introduction of long shifts (i.e., shifts of 12 hr or more) remains controversial. While there are claims of efficiency, studies have shown long shifts to be associated with adverse effects on quality of care. Efficiency claims are predicated on the assumption that long shifts reduce overlaps between shifts; these overlaps are believed to be unproductive and dangerous. However, there are potentially valuable educational and communication activities that occur during these overlaps. Cross-sectional survey of 31,627 nurses within 487 hospitals in 12 European countries. The associations were measured through generalised linear mixed models. The study methods were compliant with the STROBE checklist. When nurses worked shifts of 12 hr or more, they were less likely to report having continuing educational programmes; and time to discuss patient care with other nurses, compared to nurses working 8 hr or less. Nurses working shifts of 12 hr or more were less likely to report assignments that foster continuity of care, albeit the association was not significant. Similarly, working long shifts was associated with reports of patient care information being lost during handovers, although association was not significant. Working shifts of 12 hr or more is associated with reduced educational activities and fewer opportunities to discuss patient care, with potential negative consequences for safe and effective care. Implementation of long shifts should be questioned, as reduced opportunity to discuss care or participate in educational activities may jeopardise the quality and safety of care for patients. Funding was provided by the EU 7th Framework programme (FP7/2007‐2013, 223468), National Institute of Nursing Research, National Institutes of Health (NR014855), Spanish Ministry of Science and Technology, Norwegian Nurses Organisation and the Norwegian Knowledge Centre for the Health Services, Swedish Association of Health Professionals, the regional agreement on medical training and clinical research between Stockholm County Council and Karolinska Institutet, Committee for Health and Caring Sciences (CfV) and Strategic Research Programme in Care Sciences (SFO‐V) at Karolinska Institutet. Sí

Published
2019

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