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Anne M. Stiggelbout
Researcher at Leiden University Medical Center
Publications - 330
Citations - 17621
Anne M. Stiggelbout is an academic researcher from Leiden University Medical Center. The author has contributed to research in topics: Medicine & Breast cancer. The author has an hindex of 67, co-authored 294 publications receiving 15419 citations. Previous affiliations of Anne M. Stiggelbout include Netherlands Cancer Institute & Leiden University.
Papers
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Book Chapter
Clarifying and Expressing Values
Angela Fagerlin,Michael Pignone,Purva Abhyankar,Nananda F. Col,Deb Feldman-Stewart,Teresa Gavaruzzi,Jennifer Kryworuchko,Carrie A. Levin,Arwen H. Pieterse,Valerie F. Reyna,Anne M. Stiggelbout,Laura D. Scherer,Celia E. Wills,Holly O. Witteman +13 more
TL;DR: It was found that existing VCMs were used for a variety of different decisions, rarely referenced underlying theory for their design, but generally were well described in regard to their development process.
Journal ArticleDOI
Focusing illusion, adaptation and EQ‐5D health state descriptions: the difference between patients and public
TL;DR: This work has shown that patients tend to assign higher utilities to health states compared with the general public, and several explanations have been given for this difference including focusing illusion, adaptation, and adaptation.
Journal Article
Smoking habits in French adolescents.
TL;DR: The influence of peer smoking seems stronger than parental smoking, although determinants of smoking differ moderately for girls and boys, and from the age of 14 becomes slightly more prevalent among girls than boys.
Journal ArticleDOI
Comprehensively measuring health-related subjective well-being: Dimensionality analysis for improved outcome assessment in health economics
Marieke de Vries,Marieke de Vries,Wilco H. M. Emons,Arnoud Plantinga,Suzanne Pietersma,Wilbert B. van den Hout,Anne M. Stiggelbout,M. Elske van den Akker-van Marle +7 more
TL;DR: A set of five key dimensions to be included in a new, comprehensive measure of HR-SWB that reliably captures these dimensions and fills in the gaps of the existent measures used in economic evaluations are identified.
Journal ArticleDOI
Methodologic evaluation of adaptive conjoint analysis to assess patient preferences: an application in oncology
TL;DR: Adaptive conjoint analysis is an individually tailored preferences elicitation technique that mimics actual decision‐making processes by asking participants to make trade‐offs between the various dimensions that underlie decision problems.