Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
AIDS. 2012 Apr 24;26(7):779-83. doi: 10.1097/QAD.0b013e328351e7fb.
There is a need to better understand the effectiveness of HIV-prevention programs. Cluster randomized designs have major limitations to evaluate such complex large-scale combination programs. To close the prevention evaluation gap, alternative evaluation designs are needed, but also better articulation of the program impact pathways and proper documentation of program implementation. Building a plausible case using mixed methods and modeling can provide a valid alternative to probability evidence. HIV prevention policies should not be limited to evidences from randomized designs only.
需要更好地了解艾滋病毒预防规划的效果。对于评估这种复杂的大规模综合方案，群组随机设计具有重大的局限性。为了缩小预防评估差距，需要替代评估设计，还需要更好地说明方案影响途径，并妥善记录方案的实施情况。使用混合方法和建模构建一个合理的案例，可以为概率证据提供一个有效的替代方案。艾滋病毒预防政策不应仅限于随机设计的证据。
