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• W2471926945 abstract "Aim: Details of data quality and how quality issues were solved have not been reported in published comparative effectiveness studies using electronic health record data. Methods: We developed a conceptual framework of data quality assessment and preprocessing and apply it to a study comparing angiotensin-converting enzyme inhibitors with angiotensin receptor blockerss on renal function decline in diabetes patients. Results: The framework establishes a line of thought to identify and act on data issues. The core concept is to evaluate whether data are fit-for-use for research tasks. Possible quality problems are listed through specific signal detections, and verified whether they are true problems. Optimal solutions are selected for the identified problems. Conclusion: This framework can be used in observational studies to improve validity of results." @default.
• W2471926945 created "2016-07-22" @default.
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• W2471926945 date "2016-07-01" @default.
• W2471926945 modified "2023-09-26" @default.
• W2471926945 title "Using primary care electronic health record data for comparative effectiveness research: experience of data quality assessment and preprocessing in The Netherlands" @default.
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• W2471926945 doi "https://doi.org/10.2217/cer-2015-0022" @default.
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