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PRODID:-//Vrije Universiteit Amsterdam//NONSGML v1.0//EN
NAME:PhD defence I.S. van Strien-Knippenberg
METHOD:PUBLISH
BEGIN:VEVENT
DTSTART:20260116T114500
DTEND:20260116T131500
DTSTAMP:20260116T114500
UID:2026/phd-defence-i-s-van-strie@8F96275E-9F55-4B3F-A143-836282E12573
CREATED:20260505T173332
LOCATION:VU Main Building De Boelelaan  1105 1081 HV Amsterdam
SUMMARY:PhD defence I.S. van Strien-Knippenberg
X-ALT-DESC;FMTTYPE=text/html: <html> <body> <p>Visualizing Personalize
 d Health Risk Information to Enhance Understanding</p> <h3><strong>Sh
 owing personalized health risks is not enough: understanding requires
  more than an attractive visualization</strong></h3><p>With the rapid
  rise of artificial intelligence and predictive models, citizens and 
 patients are increasingly receiving personalized estimates of their h
 ealth risks. This information can support decisions about treatment o
 r prevention—but only if people truly understand it. Research by In
 ge van Strien-Knippenberg shows that this is far from self-evident, a
 nd that the way risks are presented can have major societal consequen
 ces.</p><p>The study focused on breast cancer treatment and breast ca
 ncer screening. Through interviews and co-creation, the researcher ex
 amined the ideas, expectations, and information needs of patients and
  citizens when they receive personalized risk information. Together w
 ith them, informational materials and visualizations were developed a
 nd subsequently tested for comprehensibility and usability. The resea
 rch also explored differences between people with varying levels of h
 ealth literacy and numeracy.</p><p>The results show that “laypeople
 ” approach health risks differently from experts. What seems logica
 l or important to professionals often does not align with what citize
 ns need or expect. Existing beliefs play a major role in how people i
 nterpret risk information. Effective communication therefore needs to
  connect with what people already know as well as with what they want
  to know.</p><p>Notably, the use of visualizations - such as graphs o
 r pictograms - does not automatically lead to better understanding. N
 or do these tools reduce the gap between people with higher and lower
  levels of health literacy or numeracy. Visualizations are therefore 
 no magic solution, the study shows.</p><p>If personalized risk inform
 ation is not presented carefully, there is a risk that especially peo
 ple with lower skills will disengage or draw incorrect conclusions. T
 his can further widen existing health disparities. The research there
 fore underscores the importance of clear guidelines for risk communic
 ation and a structured, well-organized presentation of information.</
 p><p>For healthcare professionals and organizations that develop heal
 th information, for example for leaflets, websites, dashboards, or us
 e in clinical consultations, this means looking beyond simply adding 
 attractive charts. Involving the target audience from the very beginn
 ing of the design process is crucial. Only by developing and testing 
 materials together with users can it be determined whether people tru
 ly understand the information and can use it when making health decis
 ions.</p><p>Further research is needed to better support people with 
 lower levels of health literacy and numeracy. In this way, personaliz
 ed risk information can contribute to better and fairer healthcare, r
 ather than to growing health inequalities.</p><p>More information on 
 the <a href="https://hdl.handle.net/1871.1/57beeb69-673a-43ec-9dfb-85
 4d23b92feb" data-new-window="true" target="_blank" rel="noopener nore
 ferrer">thesis</a></p> </body> </html>
DESCRIPTION: <h3><strong>Showing personalized health risks is not enou
 gh: understanding requires more than an attractive visualization</str
 ong></h3> With the rapid rise of artificial intelligence and predicti
 ve models, citizens and patients are increasingly receiving personali
 zed estimates of their health risks. This information can support dec
 isions about treatment or prevention—but only if people truly under
 stand it. Research by Inge van Strien-Knippenberg shows that this is 
 far from self-evident, and that the way risks are presented can have 
 major societal consequences. The study focused on breast cancer treat
 ment and breast cancer screening. Through interviews and co-creation,
  the researcher examined the ideas, expectations, and information nee
 ds of patients and citizens when they receive personalized risk infor
 mation. Together with them, informational materials and visualization
 s were developed and subsequently tested for comprehensibility and us
 ability. The research also explored differences between people with v
 arying levels of health literacy and numeracy. The results show that 
 “laypeople” approach health risks differently from experts. What 
 seems logical or important to professionals often does not align with
  what citizens need or expect. Existing beliefs play a major role in 
 how people interpret risk information. Effective communication theref
 ore needs to connect with what people already know as well as with wh
 at they want to know. Notably, the use of visualizations - such as gr
 aphs or pictograms - does not automatically lead to better understand
 ing. Nor do these tools reduce the gap between people with higher and
  lower levels of health literacy or numeracy. Visualizations are ther
 efore no magic solution, the study shows. If personalized risk inform
 ation is not presented carefully, there is a risk that especially peo
 ple with lower skills will disengage or draw incorrect conclusions. T
 his can further widen existing health disparities. The research there
 fore underscores the importance of clear guidelines for risk communic
 ation and a structured, well-organized presentation of information. F
 or healthcare professionals and organizations that develop health inf
 ormation, for example for leaflets, websites, dashboards, or use in c
 linical consultations, this means looking beyond simply adding attrac
 tive charts. Involving the target audience from the very beginning of
  the design process is crucial. Only by developing and testing materi
 als together with users can it be determined whether people truly und
 erstand the information and can use it when making health decisions. 
 Further research is needed to better support people with lower levels
  of health literacy and numeracy. In this way, personalized risk info
 rmation can contribute to better and fairer healthcare, rather than t
 o growing health inequalities. More information on the <a href="https
 ://hdl.handle.net/1871.1/57beeb69-673a-43ec-9dfb-854d23b92feb" data-n
 ew-window="true" target="_blank" rel="noopener noreferrer">thesis</a>
  Visualizing Personalized Health Risk Information to Enhance Understa
 nding
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