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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:phd-defence-i-s-van-strien-kni@8F96275E-9F55-4B3F-A143-836282E12573
CREATED:20260924T230235
LOCATION:VU Main Building, 1105, De Boelelaan, 1081 HV, Amsterdam
SUMMARY:PhD defence I.S. van Strien-Knippenberg
X-ALT-DESC;FMTTYPE=text/html: <html> <body> <p><p>Visualizing Personal
 ized Health Risk Information to Enhance Understanding</p></p> <h3><st
 rong>Showing personalized health risks is not enough: understanding r
 equires more than an attractive visualization</strong></h3><p>With th
 e rapid rise of artificial intelligence and predictive models, citize
 ns and patients are increasingly receiving personalized estimates of 
 their health risks. This information can support decisions about trea
 tment or prevention—but only if people truly understand it. Researc
 h by Inge van Strien-Knippenberg shows that this is far from self-evi
 dent, and that the way risks are presented can have major societal co
 nsequences.</p><p>The study focused on breast cancer treatment and br
 east cancer screening. Through interviews and co-creation, the resear
 cher examined the ideas, expectations, and information needs of patie
 nts and citizens when they receive personalized risk information. Tog
 ether with them, informational materials and visualizations were deve
 loped and subsequently tested for comprehensibility and usability. Th
 e research also explored differences between people with varying leve
 ls of health literacy and numeracy.</p><p>The results show that “la
 ypeople” 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 p
 eople interpret risk information. Effective communication therefore n
 eeds to connect with what people already know as well as with what th
 ey want to know.</p><p>Notably, the use of visualizations - such as g
 raphs or pictograms - does not automatically lead to better understan
 ding. Nor do these tools reduce the gap between people with higher an
 d lower levels of health literacy or numeracy. Visualizations are the
 refore no magic solution, the study shows.</p><p>If personalized risk
  information is not presented carefully, there is a risk that especia
 lly people with lower skills will disengage or draw incorrect conclus
 ions. This can further widen existing health disparities. The researc
 h therefore underscores the importance of clear guidelines for risk c
 ommunication and a structured, well-organized presentation of informa
 tion.</p><p>For healthcare professionals and organizations that devel
 op health information, for example for leaflets, websites, dashboards
 , or use in clinical consultations, this means looking beyond simply 
 adding attractive charts. Involving the target audience from the very
  beginning of the design process is crucial. Only by developing and t
 esting materials together with users can it be determined whether peo
 ple truly understand the information and can use it when making healt
 h decisions.</p><p>Further research is needed to better support peopl
 e with lower levels of health literacy and numeracy. In this way, per
 sonalized risk information can contribute to better and fairer health
 care, rather than to growing health inequalities.</p><p>More informat
 ion on the <a href="https://hdl.handle.net/1871.1/57beeb69-673a-43ec-
 9dfb-854d23b92feb" data-new-window="true" target="_blank" rel="noopen
 er noreferrer">thesis</a></p> </body> </html>
DESCRIPTION: Visualizing Personalized Health Risk Information to Enhan
 ce Understanding <h3><strong>Showing personalized health risks is not
  enough: understanding requires more than an attractive visualization
 </strong></h3>With the rapid rise of artificial intelligence and pred
 ictive models, citizens and patients are increasingly receiving perso
 nalized estimates of their health risks. This information can support
  decisions about treatment or prevention—but only if people truly u
 nderstand it. Research by Inge van Strien-Knippenberg shows that this
  is far from self-evident, and that the way risks are presented can h
 ave major societal consequences.The study focused on breast cancer tr
 eatment and breast cancer screening. Through interviews and co-creati
 on, the researcher examined the ideas, expectations, and information 
 needs of patients and citizens when they receive personalized risk in
 formation. Together with them, informational materials and visualizat
 ions were developed and subsequently tested for comprehensibility and
  usability. The research also explored differences between people wit
 h varying levels of health literacy and numeracy.The results show tha
 t “laypeople” approach health risks differently from experts. Wha
 t seems logical or important to professionals often does not align wi
 th what citizens need or expect. Existing beliefs play a major role i
 n how people interpret risk information. Effective communication ther
 efore needs to connect with what people already know as well as with 
 what they want to know.Notably, the use of visualizations - such as g
 raphs or pictograms - does not automatically lead to better understan
 ding. Nor do these tools reduce the gap between people with higher an
 d lower levels of health literacy or numeracy. Visualizations are the
 refore 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.Fo
 r healthcare professionals and organizations that develop health info
 rmation, for example for leaflets, websites, dashboards, or use in cl
 inical consultations, this means looking beyond simply adding attract
 ive charts. Involving the target audience from the very beginning of 
 the design process is crucial. Only by developing and testing materia
 ls together with users can it be determined whether people truly unde
 rstand the information and can use it when making health decisions.Fu
 rther research is needed to better support people with lower levels o
 f health literacy and numeracy. In this way, personalized risk inform
 ation can contribute to better and fairer healthcare, rather than to 
 growing health inequalities.More information on the <a href="https://
 hdl.handle.net/1871.1/57beeb69-673a-43ec-9dfb-854d23b92feb" data-new-
 window="true" target="_blank" rel="noopener noreferrer">thesis</a>
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