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The need to build on recent progressThe results are as follows:
Table 4: ICP—Latin America results
Overall score Policy and planning Care delivery Health system and governance
1 Brazil 82.2 1 Brazil 94.4 1 Colombia 84.9 1 Uruguay 66.
2 Colombia 80.3 2 Colombia 92 .1 2 Brazil 8 4.1 2 Chile 64.
=3 Chile 74. 9 3 Costa Rica 88 3 Chile 80.7 3 Brazil 54.
=3 Uruguay 74. 9 4 Uruguay 84.3 4 Argentina 75.0 4 Ecuador 48.
5 Argentina 71.4 5 Argentina 83.4 5 Uruguay 69.8 5 Peru 4 8.
6 Costa Rica 70.1 6 Peru 83.3 AVER AGE 64 AVER AGE 47. 9
AVER AGE 65.5 7 Panama 81.6 6 Costa Rica 63.8 6 Colombia 47. 5
7 Peru 64.9 AVER AGE 75.8 7 Mexico 61.9 7 Costa Rica 47.
8 Mexico 63.1 8 Chile 74.1 8 Peru 55 8 Mexico 45.
9 Panama 61 9 Mexico 73.2 9 Panama 50.9 9 Panama 40.
10 Ecuador 54.2 10 Ecuador 65.2 10 Bolivia 50 10 Argentina 39.
11 Paraguay 50.1 11 Paraguay 62.2 11 Ecuador 46.2 11 Bolivia 38.
12 Bolivia 38.6 12 Bolivia 27. 3 12 Paraguay 45.5 12 Paraguay 34.
Source: ICP-Latin America.More important than the overall rankings,
however, is the analysis of how actions from
different perspectives are driving overall
preparedness. This study can help countries
assess their current performance and identify
the achievements of their neighbours, from
which they can learn from. We hope to begin
a discussion about what is needed for good
cancer control and what countries can do to
improve.
The global ICP study found a strong
correlation between cancer-control outcomes
(measured by the M:I ratio) and the overall
ICP score. This showed that, in broad terms,
the ICP can be a useful benchmarking tool
for mapping cancer control efforts. In this
study, this negative association holds but is
less strong. However, given the small size of
the sample (12), no big generalisations can be
made. However, correlation analysis shows
some interesting patterns:- Cancer registries have the strongest
correlation of any specific indicator with the
overall score. This means that quality cancer
registries are a good predictor of overall
cancer preparedness. This is not surprising,
as these involve a pre-existing institutional,
political and technical capacity in a country,
and in turn the data they produce should
feed into policy design.