An external validation of coding for childhood maltreatment in routinely collected primary and secondary care data.

ABSTRACT: Validated methods of identifying childhood maltreatment (CM) in primary and secondary care data are needed. We aimed to create the first externally validated algorithm for identifying maltreatment using routinely collected healthcare data. Comprehensive code lists were created for use within GP and hospital admissions datasets in the SAIL Databank at Swansea University working with safeguarding clinicians and academics. These code lists build on and refine those previously published to include an exhaustive set of codes. Sensitivity, specificity and positive predictive value of previously published lists and the new algorithm were estimated against a clinically assessed cohort of CM cases from a child protection service secondary care-based setting-'the gold standard'. We conducted sensiti

SUBMITTER: John A 

PROVIDER: S-EPMC10199091 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature