Download - Oral Presentation at EUPHA Milan 2015 LBacelar-Nicolau

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Disclosures: Nothing to disclose. Funded by FCT, QREN, COMPETE (HMSP-ICT/0013/2011)

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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)





″ 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





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





″ 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





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.