Abstract
This chapter highlights methodological and practical issues in data integrity and the role of data in a public health model. It considers definitional issues of child maltreatment and how this influences measurement of the incidence/prevalence of maltreatment by the inclusion or omission of individuals from databases. This chapter considers the challenges of administrative data, mortality data and child death reviews and using cross-sectional national studies, survey data. It discusses the strengths and limitations of use of administrative data sets (for example child protection, and health datasets) – in isolation as single sources of information and by linking these datasets to identify and measure associations with known and potentially unknown risk indicators.
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Scott, D., Faulkner, A. (2019). The Role, Importance and Challenges of Data for a Public Health Model. In: Lonne, B., Scott, D., Higgins, D., Herrenkohl, T.I. (eds) Re-Visioning Public Health Approaches for Protecting Children. Child Maltreatment, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-05858-6_16
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DOI: https://doi.org/10.1007/978-3-030-05858-6_16
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