Correspondence
Fred Carden
[email protected] International Development Research Centre, Ottawa, ON K1R 7Y6, Canada 1
Jennifer Bryce and colleagues (Feb 13, p 572)1 present a retrospective evaluation of the Accelerated Child Survival and Development (ACSD) programme in west Africa. One could debate a number of points raised in the study. For example, what is the implication of the finding that the programme operated in the most difficult areas of the countries? Consideration of this contextual factor might have suggested different conclusions about the level of success or failure of the initiative. As an evaluator, I noted that Bryce and colleagues observed that: “these evaluations draw attention to the need for a new approach in assessment of scale-up of large programmes under real-life situations, in which the distinction between intervention and comparison areas is not clear cut”. This was the second reference in the article to methodological inadequacy. The associated Editorial2 called for raising the profile and priority of evaluation in global health and for ensuring higher quality evaluation that contributes to positive change. This is useful. I hope The Lancet will take a strong position on seeking out and publicising the new approaches called for by Bryce and colleagues—more of the same will not help to improve global health. These approaches will need to explore new perspectives on causality. I hope this rolling Lancet series of evaluations of large-scale global health programmes will insist that most of its articles focus on the application of alternative methods (inter alia, mixed methods, comparative case methods, and realist evaluation) that do struggle to understand who in society is affected, in what ways, and in what contexts, bearing in mind that it is not about methods but about improved health outcomes. I declare that I have no conflicts of interest.
www.thelancet.com Vol 375 May 1, 2010
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Bryce J, Gilroy K, Jones G, Hazel E, Black RE, Victora CG. The Accelerated Child Survival and Development programme in west Africa: a retrospective evaluation. Lancet 2010; 375: 572–82. The Lancet. Evaluation: the top priority for global health. Lancet 2010; 375: 526.
As the deadline for the Millennium Development Goals approaches, an understanding of which interventions improve outcomes for pregnant women and children is crucial. Additional lessons can be learned from the report by Jennifer Bryce and colleagues,1 which detected no overall effect of UNICEF’s Accelerated Child Survival and Development (ACSD) programme on maternal and child health care and outcomes in west Africa. Traditional evaluation of interventions such as ACSD rely on national surveys that are expensive and may be unsuited to environments experiencing rapid change coupled to poor data systems. We strongly support The Lancet’s call2 for better ways of doing evaluative research. Traditional before-and-after comparisons cannot account for local variation in the timing, intensity, and effectiveness of implementation of an intervention. In these settings, we may learn more from a more dynamic approach that promotes real-time feedback3 and uses time-series design. External evaluations should build on the data, measurements, and assessments that are a part of intervention programmes, since traditional approaches will not detect potentially misleading changes in data quality during the intervention. Although whether ACSD was effective in this case is still uncertain, we argue that interventions to improve health outcomes will require novel approaches to redesigning the health delivery system for those interventions.4,5 Evaluation methods that both assist and more accurately measure the effect of complex interventions in challenging settings will deliver useful support to
the intervention programme while providing a more robust assessment of outcomes and impact. We declare that we have no conflicts of interest.
*Pierre M Barker, Nana A Y Twum-Danso, Lloyd Provost
AFP/Getty Images
Retrospective evaluation of UNICEF’s ACSD programme
[email protected] University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA (PMB); Institute for Healthcare Improvement, Cambridge, MA, USA (NAYTD); and Associates in Process Improvement, Austin, TX, USA (LP) 1
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Bryce J, Gilroy K, Jones G, Hazel E, Black RE, Victora CG. The Accelerated Child Survival and Development programme in west Africa: a retrospective evaluation. Lancet 2010; 375: 572–82. The Lancet. Evaluation: the top priority for global health. Lancet 2010; 375: 526. Scriven M. Beyond formative and summative evaluation. In: McLaughlin MW, Phillips EDC, eds. Evaluation and education: a quarter century. Chicago: University of Chicago Press, 1991: 169. McCannon CJ, Schall MW, Perla RJ. Planning for scale: a guide for designing large-scale improvement initiatives. Cambridge, MA: Institute for Healthcare Improvement, 2008. http://www.ihi.org/IHI/Results/WhitePapers/ PlanningforScaleWhitePaper.htm (accessed April 6, 2010). Berwick DM. Lessons from developing nations on improving health care. BMJ 2004; 328: 1124–29.
We applaud the important evaluation by Jennifer Bryce and colleagues.1 With millions of dollars given by international agencies to individual countries for health and development programmes, there is an ethical imperative that the effectiveness of such funds is evaluated, both rigorously and regularly. We offer a few comments on the work by Bryce and colleagues in terms of the design and analysis. First, as Bryce and colleagues rightly point out, because of the limited sample size, especially at baseline, one can detect an effect only if it is very large. Second, one key assumption of difference-in-differences analysis is that the comparison or “control” areas, and their health trends, are similar to that of focus or “treatment” areas. However, Bryce and colleagues make it clear that the focus-area selection was not random and that there were others working in these areas. Thus, the assumptions for using difference-in-differences are
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