2017
DOI: 10.1371/journal.pmed.1002240
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Evidence for scaling up HIV treatment in sub-Saharan Africa: A call for incorporating health system constraints

Abstract: Jan Hontelez and colleagues argue that the cost-effectiveness studies of HIV treatment scale-up need to include health system constraints to be more informative.

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Cited by 45 publications
(45 citation statements)
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References 9 publications
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“…Hence we do not oppose, but instead welcome efforts to integrate evidence on multiple criteria as is the case in the extended cost-effectiveness analysis approach. 5,8,9 Nevertheless, we agree with Chalkidou et al and would like to highlight again that “global approaches to CEA can hardly be too context-sensitive” for the very reason that “studies done by global players that ignore local contexts but nonetheless presume to advise may undermine local priorities and distort local spending decisions.” 7 We furthermore applaud WHO for providing broader support and guidance to countries. 5 Yet, we observe in practice that cost-effectiveness is often considered the dominant criterion when used in priority setting.…”
supporting
confidence: 68%
“…Hence we do not oppose, but instead welcome efforts to integrate evidence on multiple criteria as is the case in the extended cost-effectiveness analysis approach. 5,8,9 Nevertheless, we agree with Chalkidou et al and would like to highlight again that “global approaches to CEA can hardly be too context-sensitive” for the very reason that “studies done by global players that ignore local contexts but nonetheless presume to advise may undermine local priorities and distort local spending decisions.” 7 We furthermore applaud WHO for providing broader support and guidance to countries. 5 Yet, we observe in practice that cost-effectiveness is often considered the dominant criterion when used in priority setting.…”
supporting
confidence: 68%
“…integrated care). Addressing these gaps will facilitate policy‐relevant modelling projections that inform cost‐effectiveness of individual interventions, the affordability of these interventions, and allocative efficiency across interventions when resources are constrained . Research approaches : The development of country‐specific mathematical models can provide projections of health and economic outcomes related to Treat All, including budget impact, which is essential information for programme planning and decision‐making. A key component of this effort is incorporating realistic model assumptions and inputs that reflect local treatment and care patterns.…”
Section: Resultsmentioning
confidence: 99%
“…16 Additionally, our findings provide an example to support the broader calls for model-based economic evaluations to formally consider uncertainty (and the additional costs) of implementation of new diagnostic technologies in general. 30 Our study has several limitations. First, the methods to account for clustering and imbalance can generate narrower CIs than with other more complex and timeconsuming methods such as multilevel modelling, even if they produce unbiased estimates of the mean incremental cost-effectiveness ratio.…”
Section: Discussionmentioning
confidence: 91%