HIGHLIGHTS
SUMMARY
The aim of this study was to identify data inconsistencies within the Hospital Episodes Statistics (HES) dataset for autistic patients and assess potential biases introduced through these inconsistencies and their impact on patient outcomes. Data inconsistencies were recorded where autism was not recorded as a diagnosis in a subsequent spell. For patients who died in hospital, inconsistencies in their final spell were significantly associated with being 80 years and over, being female, greater deprivation and use of a palliative care code in the death spell. Data inconsistencies in the HES database were relatively common . . .
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