This forest plot shows estimates of how this policy affects this outcome, based on the evidence in the studies examined. In particular, the graphic shows the standardized effect sizes (or IRRs) and their 95-percent CIs for each outcome. An effect size of 1.00 indicates that, after a state passes the law, we would expect the outcome (e.g., suicide or firearm suicide) to be unaffected. An effect size of less than 1.00 indicates that the law appears to reduce the outcome. For example, if the effect size were 0.92, we would expect the rate of the outcome to fall to 0.92 times the rate prior to passage of the law. Conversely, an effect size of more than 1.00 indicates that the law appears to increase the outcome by a factor equivalent to the effect size value. When the CIs do not include the value of 1.00, the estimated effect is statistically significant at p < 0.05.
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