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Henk Broekhuizen
Radboud University Nijmegen
Multiple-criteria decision analysisDecision analysisLung cancer screeningProbabilistic logicMedicine
11Publications
2H-index
13Citations
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Publications 11
Newest
#1Maarten Jansen (Radboud University Nijmegen)H-Index: 5
#2Leon Bijlmakers (Radboud University Nijmegen)H-Index: 8
Last. Henk Broekhuizen (Radboud University Nijmegen)H-Index: 2
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#1Leon Bijlmakers (Radboud University Nijmegen)H-Index: 8
#2Maike Wientjes (Radboud University Nijmegen)
Last. Jakub Gajewski (RCSI: Royal College of Surgeons in Ireland)H-Index: 4
view all 8 authors...
Abstract Background Having to pay out-of-pocket for health care can be prohibitive and even cause financial catastrophe for patients, especially those with low and irregular incomes. Health services at Government-owned hospitals in Malawi are provided free of charge but patients do incur costs when they access facilities and some of them forego income. This research paper presents findings on the direct and indirect expenditure incurred by patients who underwent hernia surgery at district and ce...
Source
#1Rob Baltussen (Radboud University Nijmegen)H-Index: 40
#2Kevin MarshH-Index: 7
Last. Henk Broekhuizen (Radboud University Nijmegen)H-Index: 2
view all 23 authors...
Abstract Objective Recent years have witnessed an increased interest in the use of multicriteria decision analysis (MCDA) to support health technology assessment (HTA) agencies for setting healthcare priorities. However, its implementation to date has been criticized for being “entirely mechanistic,” ignoring opportunity costs, and not following best practice guidelines. This article provides guidance on the use of MCDA in this context. Methods The present study was based on a systematic review ...
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#1Leon BijlmakersH-Index: 8
#2Dennis Cornelissen (UM: Maastricht University)
Last. Ruairi Brugha (RCSI: Royal College of Surgeons in Ireland)H-Index: 37
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#1Henk Broekhuizen (Radboud University Nijmegen)H-Index: 2
#2Catharina Gerarda Maria Groothuis-Oudshoorn (UT: University of Twente)H-Index: 12
Last. Maarten Joost IJzerman (Radboud University Nijmegen)H-Index: 40
view all 5 authors...
Background: Lung cancer screening can reduce cancer mortality. Most implementation studies focus only on low-dose computed tomography (LDCT) and clinical attributes of screening and do not include preferences of potential participants. In this study we evaluated the perceived value of screening programs based on LDCT, breath analysis (BA), or blood biomarkers (BB) according to the perspective of the target population. Methods: A multi-criteria decision analysis framework was adopted. The weights...
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#1Henk Broekhuizen (UT: University of Twente)H-Index: 2
#2Catharina Gerarda Maria Groothuis-Oudshoorn (UT: University of Twente)H-Index: 12
Last. Maarten Joost IJzerman (UT: University of Twente)H-Index: 40
view all 5 authors...
Abstract Background Because early detection of lung cancer can substantially improve survival, there is increasing attention for lung cancer screening. Objectives To estimate public preferences for lung cancer screening and to identify subgroups in preferences. Methods Seven important attributes were selected using the literature, interviews, and a panel session. Preferences were elicited using a swing weighting questionnaire. The resulting attribute weights indicate the relative importance of s...
2 CitationsSource
#1Catharina Gerarda Maria Groothuis-Oudshoorn (UT: University of Twente)H-Index: 12
#2Henk Broekhuizen (UT: University of Twente)H-Index: 2
Last. Janine Astrid van Til (UT: University of Twente)H-Index: 15
view all 3 authors...
The aim of this chapter is to provide guidance regarding the various types and sources of uncertainty that influence the outcome of a multi-criteria decision analysis (MCDA) model. For each MCDA step, i.e., structuring, scoring, weighting, and aggregating, we will describe sources of uncertainty and point to methods to deal with these uncertainties. Also the use of sensitivity analyses and the relevance of qualifying and quantifying uncertainty in MCDA will be discussed. The consideration of unc...
6 CitationsSource
#1Henk Broekhuizen (UT: University of Twente)H-Index: 2
#2Maarten Joost IJzerman (UT: University of Twente)H-Index: 40
Last. Catharina Gerarda Maria Groothuis-Oudshoorn (UT: University of Twente)H-Index: 12
view all 4 authors...
The need for patient engagement has been recognized by regulatory agencies, but there is no consensus about how to operationalize this. One approach is the formal elicitation and use of patient preferences for weighing clinical outcomes. The aim of this study was to demonstrate how patient preferences can be used to weigh clinical outcomes when both preferences and clinical outcomes are uncertain by applying a probabilistic value-based multi-criteria decision analysis (MCDA) method. Probability ...
5 CitationsSource
#1Henk BroekhuizenH-Index: 2
Last. Marjan J.M. HummelH-Index: 7
view all 3 authors...
Source
#1Klaske R. Siegersma (UT: University of Twente)
#2J. Marjan Hummel (UT: University of Twente)H-Index: 9
Last. Lioe-Fee de Geus-Oei (UT: University of Twente)H-Index: 15
view all 4 authors...
In an expert panel, the future values of PET/CT and MRI-DWI for early monitoring of treatment response in stage III Non-Small Cell Lung Cancer patients were predicted. The clinical values of the two new imaging modalities were predicted relative to current practice: the use of CT alone. By means of multi-criteria decision analysis we showed the expected value of the imaging modalities in terms of clinical effectiveness, efficiency and user-friendliness. By means of a Monte Carlo simulation, we d...
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