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

This study employed a comprehensive approach to dataset internal validation that encompassed: (1) hospital association level data, (2) hospital site level data and (3) medical department level data, (4) report data spanning six years, and (5) logical plausibility checks. To ensure data completeness, we selected the most plausible values without eliminating incomplete or implausible data. For future practice, we recommend a validation process when using GHQR as a data source for MCR-related research. Additionally, an adapted plausibility control could help to improve the quality of MCR documentation.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2024-12-31
DOI
https://doi.org/10.1186/s12874-024-02429-6
Citations
2
Primary Topic
Primary Care and Health Outcomes
Type
article
Field-Weighted Citation Impact
1.70

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article

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

Werner de Cruppé, Max Geraedts, Limei Ji
2 citations
BMC Medical Research Methodology
Primary Care and Health Outcomes
1.70
article

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

Werner de Cruppé, Max Geraedts, Limei Ji
article en
2 citations

Abstract

This study employed a comprehensive approach to dataset internal validation that encompassed: (1) hospital association level data, (2) hospital site level data and (3) medical department level data, (4) report data spanning six years, and (5) logical plausibility checks. To ensure data completeness, we selected the most plausible values without eliminating incomplete or implausible data. For future practice, we recommend a validation process when using GHQR as a data source for MCR-related research. Additionally, an adapted plausibility control could help to improve the quality of MCR documentation.

BMC Medical Research MethodologyVol. 24(1)
Philipps University of Marburg (DE)
Philipps-Universität Marburg, Gemeinsame Bundesausschuss
Partnerships for the goals
Openalex Percentile: Top 12%
Primary Care and Health Outcomes
1.70
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