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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:
LNICOLAU@MEDICINA.ULISBOA.PT
Screening in Health Impact Assessment:
easier decision making through cluster analysis
Bacelar-Nicolau L (1), Pereira Miguel J (1), SaportaG (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:
LNICOLAU@MEDICINA.ULISBOA.PT
Screening in Health Impact Assessment:
easier decision making through cluster analysis
Bacelar-Nicolau L (1), Pereira Miguel J (1), SaportaG (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:
LNICOLAU@MEDICINA.ULISBOA.PT
Screening in Health Impact Assessment:
easier decision making through cluster analysis
Bacelar-Nicolau L (1), Pereira Miguel J (1), SaportaG (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:
LNICOLAU@MEDICINA.ULISBOA.PT
Screening in Health Impact Assessment:
easier decision making through cluster analysis
Bacelar-Nicolau L (1), Pereira Miguel J (1), SaportaG (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:
LNICOLAU@MEDICINA.ULISBOA.PT
Screening in Health Impact Assessment:
easier decision making through cluster analysis
Bacelar-Nicolau L (1), Pereira Miguel J (1), SaportaG (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.

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Oral Presentation at EUPHA Milan 2015 LBacelar-Nicolau

  • 1. http://www.cuteheart.med.up.pt Disclosures: Nothing to disclose. Funded by FCT, QREN, COMPETE (HMSP-ICT/0013/2011) For further information, please contact: LNICOLAU@MEDICINA.ULISBOA.PT Screening in Health Impact Assessment: easier decision making through cluster analysis Bacelar-Nicolau L (1), Pereira Miguel J (1), SaportaG (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)
  • 2. http://www.cuteheart.med.up.pt Disclosures: Nothing to disclose. Funded by FCT, QREN, COMPETE (HMSP-ICT/0013/2011) For further information, please contact: LNICOLAU@MEDICINA.ULISBOA.PT Screening in Health Impact Assessment: easier decision making through cluster analysis Bacelar-Nicolau L (1), Pereira Miguel J (1), SaportaG (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
  • 3. http://www.cuteheart.med.up.pt Disclosures: Nothing to disclose. Funded by FCT, QREN, COMPETE (HMSP-ICT/0013/2011) For further information, please contact: LNICOLAU@MEDICINA.ULISBOA.PT Screening in Health Impact Assessment: easier decision making through cluster analysis Bacelar-Nicolau L (1), Pereira Miguel J (1), SaportaG (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
  • 4. http://www.cuteheart.med.up.pt Disclosures: Nothing to disclose. Funded by FCT, QREN, COMPETE (HMSP-ICT/0013/2011) For further information, please contact: LNICOLAU@MEDICINA.ULISBOA.PT Screening in Health Impact Assessment: easier decision making through cluster analysis Bacelar-Nicolau L (1), Pereira Miguel J (1), SaportaG (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
  • 5. http://www.cuteheart.med.up.pt Disclosures: Nothing to disclose. Funded by FCT, QREN, COMPETE (HMSP-ICT/0013/2011) For further information, please contact: LNICOLAU@MEDICINA.ULISBOA.PT Screening in Health Impact Assessment: easier decision making through cluster analysis Bacelar-Nicolau L (1), Pereira Miguel J (1), SaportaG (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.