Oral Presentation at EUPHA Milan 2015 LBacelar-Nicolau
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http://www.cuteheart.med.up.pt Disclosures: Nothing to disclose. Funded by FCT, QREN, COMPETE (HMSP-ICT/0013/2011) For further information, please contact: [email protected] Screening in Health Impact Assessment: easier decision making through cluster analysis Bacelar-Nicolau L (1), Pereira Miguel J (1), Saporta G (2) (1) IPM&PH and ISAMB, Faculty of Medicine, Universidade de Lisboa, Portugal (2) Lab. CEDRIC, CNAM, Paris, France What is known ″ HIA: combination of procedures, methods and tools by which a policy may be judged as to its potential health effects on a population, and the distribution of these effects within that population. ″ 1 st Step: Screening policies to identify candidates for applying HIA, generally a qualitative process. Aim ″ Show how multivariate statistical methods such as cluster analysis may helps us screen policies for HIA in a quick and reliable way, by grouping, shortlisting policies and prioritizing scenarios Data ″ Ratings (1-Very low to 10-Very high) of 76 policies proposed by the Technical Group planning the Portuguese hospital reform regarding Potential impact, Ease of implementation and Implementation costs (2011 public health experts panel)
Transcript of Oral Presentation at EUPHA Milan 2015 LBacelar-Nicolau
http://www.cuteheart.med.up.pt
Disclosures: Nothing to disclose. Funded by FCT, QREN, COMPETE (HMSP-ICT/0013/2011)
For further information, please contact: [email protected]
Screening in Health Impact Assessment: easier decision making through cluster analysis Bacelar-Nicolau L (1), Pereira Miguel J (1), Saporta G (2) (1) IPM&PH and ISAMB, Faculty of Medicine, Universidade de Lisboa, Portugal (2) Lab. CEDRIC, CNAM, Paris, France
What is known
″ HIA: combination of procedures, methods and tools by which a policy may be judged as to its potential health effects on a population, and the distribution of these effects within that population.
″ 1st Step: Screening policies to identify candidates for applying HIA, generally a qualitative process.
Aim
″ Show how multivariate statistical methods such as cluster analysis may helps us screen policies for HIA in a quick and reliable way, by grouping, shortlisting policies and prioritizing scenarios
Data
″ Ratings (1-Very low to 10-Very high) of 76 policies proposed by the Technical Group planning the Portuguese hospital reform regarding Potential impact, Ease of implementation and Implementation costs (2011 public health experts panel)
http://www.cuteheart.med.up.pt
Disclosures: Nothing to disclose. Funded by FCT, QREN, COMPETE (HMSP-ICT/0013/2011)
For further information, please contact: [email protected]
Screening in Health Impact Assessment: easier decision making through cluster analysis Bacelar-Nicolau L (1), Pereira Miguel J (1), Saporta G (2) (1) IPM&PH and ISAMB, Faculty of Medicine, Universidade de Lisboa, Portugal (2) Lab. CEDRIC, CNAM, Paris, France
″ 7 groups of policies were identified with hierarchical cluster analysis
″ K-means cluster analysis, Principal Component Analysis (PCA) and Multiple Correspondence Analysis (MCA) were used as complementary multivariate methods, to validate results and help its interpretation
http://www.cuteheart.med.up.pt
Disclosures: Nothing to disclose. Funded by FCT, QREN, COMPETE (HMSP-ICT/0013/2011)
For further information, please contact: [email protected]
Screening in Health Impact Assessment: easier decision making through cluster analysis Bacelar-Nicolau L (1), Pereira Miguel J (1), Saporta G (2) (1) IPM&PH and ISAMB, Faculty of Medicine, Universidade de Lisboa, Portugal (2) Lab. CEDRIC, CNAM, Paris, France
PCA - 2 Components Extraction
C1
C2
C3
C4
C5
C6
C7
MCA - 2 Components Extraction
″ Potential impact and Implementation costs more relevant to differentiate groups than Ease of implementation
http://www.cuteheart.med.up.pt
Disclosures: Nothing to disclose. Funded by FCT, QREN, COMPETE (HMSP-ICT/0013/2011)
For further information, please contact: [email protected]
Screening in Health Impact Assessment: easier decision making through cluster analysis Bacelar-Nicolau L (1), Pereira Miguel J (1), Saporta G (2) (1) IPM&PH and ISAMB, Faculty of Medicine, Universidade de Lisboa, Portugal (2) Lab. CEDRIC, CNAM, Paris, France
″ Group C1 lead all possible scenarios when re-ranking policies according to different priority criteria: group of most obvious candidates for HIA, policies linking hospital and primary care services
http://www.cuteheart.med.up.pt
Disclosures: Nothing to disclose. Funded by FCT, QREN, COMPETE (HMSP-ICT/0013/2011)
For further information, please contact: [email protected]
Screening in Health Impact Assessment: easier decision making through cluster analysis Bacelar-Nicolau L (1), Pereira Miguel J (1), Saporta G (2) (1) IPM&PH and ISAMB, Faculty of Medicine, Universidade de Lisboa, Portugal (2) Lab. CEDRIC, CNAM, Paris, France
What this Study Adds
″ Quantification and multivariate statistical methodologies lead to evidence-based screening results easy to grasp by public health experts, epidemiologists and decision-makers;
″ Applying hierarchical cluster analysis helps choose among different scenarios when screening policies for HIA;
″ This methodology is applicable in other forms of impact assessments, other countries, and may integrate stakeholders’ and public’ concerns into the decision-making process.
