Our oral presentation "Screening Policies for Health Impact Assessment: cluster analysis for easier decision making" went very well. Many interesting questions and comments at the end!
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.