Inequalities: the “gap” remains; can surveillance aid in closing the gap?
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- Campostrini, S. & McQueen, D.V. Int J Public Health (2014) 59: 219. doi:10.1007/s00038-014-0546-x
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Three years have passed since this Journal had an editorial on the surveillance of social determinants of health (SDOH, Campostrini et al. 2011), and during those years considerable literature, some ten articles alone last year in this journal, as well as several important events, documents (EC 2013) and conferences have stressed the importance of the subject. Among these salient events was the so-called Rio Declaration on Social Determinants of Health (http://www.who.int/sdhconference/declaration/en/). Although without using the word surveillance (preferring monitor–monitoring), this Declaration clearly pointed out the importance for countries to observe the health effects of the SDOH and to monitor progresses in improving the impact of these leading causes of NCDs. In addition, the Global Action Plan approved by the 66th World Health Assembly (http://www.who.int/nmh/events/ncd_action_plan/en/index.html) considers it strategic to address the SDOH (named 14 times in the document) and the necessary surveillance (named 24 times). Many articles have added more and more evidence to the findings of the earlier WHO report (CSDH 2008): SDOH affects health outcomes globally, nationally, locally. Among the few attempts to measure how the effect of SDOH was evolving in recent years showed that actually things are not always going for the better (WHO-Europe 2013), and health inequality is increasing globally as well as in most countries (see for instance EC 2013): most inequality indicators between countries are decreasing, but some, e.g., the Gini index applied to life expectancy for males has increased 4 % in the last decade; and when inequality is considered between regions within the Member States, many countries––more than half––show an increase in regional inequalities (EC 2013, p 34).
It remains critical to (continuously) monitor the SDOH and more importantly to understand the mechanisms by which the SDOH operate in producing health disparities/inequities.
We need “good” surveillance systems (Campostrini 2013) and ability to measure several SDOH variables or at least the capability to link information on health outcomes to the causes (risk factors) and to the measures of the “causes of the causes”, the SDOH (social and cultural capital, urban settings, to name a few, beside the classical income and education).
We need significant resource investment on data collection and a profound emphasis on in depth analysis on SDOH.
Research should go beyond mere description of SDOH and health inequalities and explore why and how social factors operate in producing health inequalities to understand how changes can be made to address the public health implications of the SDOH.
In sum, we need to now focus on data collection and analyses that address the problems invoked by the social determinants of health and how they lead to inequities in health at a population level (some works going in this direction have been already published in this Journal, see, for instance, Spiegel et al. 2012; Salonna et al. 2012; Klein et al. 2012). This is the public health challenge. Some of these points are reflected in the recently published Marmot’s report for the EC (2013): beside a clear presentation of the situation and what has been done so far in Europe, it emerges quite clearly the need “to do something, do more, do better” already presented in the Marmot’s commission report for WHO (CSDH 2008) and explicitly in the recommendations for the EU Member States, where it is pointed out the need for more capacities for coherent and effective implementation (recommendation #3) and for a progressive improvement in availability and use of data to plan, monitor and evaluate actions (recommendation #5).
In this new decade, with all the targets set (at different levels) for the health of 2020, there should be a shift, certainly at the policy level, but also at the research one, in trying to find evidence for what really works to “close the gap”. Certainly in this, a necessary condition will be the availability of good surveillance systems capable of offering information to show the evidence of “what works” in closing the gap (WARFS 2011).