Assessing heterogeneity is important for several reasons: - It helps in understanding the consistency of results across studies. - It aids in identifying potential sources of variation that could affect the pooled effect estimate. - It informs the choice of statistical methods for meta-analysis. - It guides the interpretation of the results and the generalizability of the findings.