Completeness ensures that the data collected provides a comprehensive overview of the health issue being studied. Incomplete data can result in underestimation or overestimation of disease prevalence, incidence rates, and other epidemiological measures. For example, in cancer registries, incomplete reporting can lead to incorrect estimates of cancer burden and misallocation of resources.
