Internal validation of self-reported case numbers in hospital quality reports: preparing secondary data for health services research.

ABSTRACT:

Background

Health services research often relies on secondary data, necessitating quality checks for completeness, validity, and potential errors before use. Various methods address implausible data, including data elimination, statistical estimation, or value substitution from the same or another dataset. This study presents an internal validation process of a secondary dataset used to investigate hospital compliance with minimum caseload requirements (MCR) in Germany. The secondary data source validated is the German Hospital Quality Reports (GHQR), an official dataset containing structured self-reported data from all hospitals in Germany.

Methods

This study conducted an internal cross-field validation of MCR-related data in GHQR from 2016 to 2021. The validation process c

SUBMITTER: Ji L 

PROVIDER: S-EPMC11686984 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature