Table 2.

Quality assessment grid

Section	Items
Study design informations	Randomized controlled trials
	Is randomization appropriately performed?
	Are the groups comparable at baseline?
	Are there complete outcome data?
	Are outcome assessors blinded to the intervention provided?
	Did the participants adhere to the assigned intervention?
	Non-randomized controlled trials/observational studies
	Are the participants representative of the target population?
	Are measurements appropriate regarding both the outcome and intervention (or exposure)?
	Are there complete outcome data?
	Are the confounders accounted for in the design and analysis?
	During the study period, is the intervention administered (or exposure occurred) as intended?
Information about statistical methods	Is the minimum difference considered important to prove the intervention efficacy/effectiveness reported?
	Are the alpha and beta levels that define statistical significance reported and respected?
	What is the statistical method used to assess the intervention impact on the primary outcome?
	What is statistical the method used to assess the intervention impact on HIV prevalence/incidence?
	Did the authors report analyses to confirm that the statistical assumptions of the analysis were met or the goodness of fit of the model?
	Did the authors report a measure of precision alongside the impact measure?
	Is the design taken into account in the statistical analyses?
Information about the mathematical methods	Are the parameters to be estimated in the model specified?
	Are the uncertainties concerning these parameters evaluated?
	Are the different components of the model and their roles clearly defined?
	Are the different scenarios/processes/assumptions tested by the model clearly specified?
	Are the data and data sources specified?
	Are the states of the various model components clearly specified from data?
	Are the methods used to compute estimates specified?