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. 2023 Jun 27;15(13):3371.
doi: 10.3390/cancers15133371.

Examining Final-Administered Medication as a Measure of Data Quality: A Comparative Analysis of Death Data with the Central Cancer Registry in Republic of Korea

Yae Won Tak  1 , Jeong Hyun Han  1 , Yu Jin Park  2 , Do-Hoon Kim  3 , Ji Seon Oh  1 , Yura Lee  1
Affiliations

Examining Final-Administered Medication as a Measure of Data Quality: A Comparative Analysis of Death Data with the Central Cancer Registry in Republic of Korea

Yae Won Tak et al. Cancers (Basel). .

Abstract

Death is a crucial outcome in retrospective cohort studies, serving as a criterion for analyzing mortality in a database. This study aimed to assess the quality of extracted death data and investigate the potential of the final-administered medication as a variable to quantify accuracy for the validation dataset. Electronic health records from both an in-hospital and the Korean Central Cancer Registry were used for this study. The gold standard was established by examining the differences between the dates of in-hospital deaths and cancer-registered deaths. Cosine similarity was employed to quantify the final-administered medication similarities between the gold standard and other cohorts. The gold standard was determined as patients who died in the hospital after 2006 and whose final hospital visit/discharge date and death date differed by 0 or 1 day. For all three criteria-(a) cancer stage, (b) cancer type, and (c) type of final visit-there was a positive correlation between mortality rates and the similarities of the final-administered medication. This study introduces a measure that can provide additional accurate information regarding death and differentiates the reliability of the dataset.

Keywords: data accuracy; data quality; death; mortality; public data.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Operating systems of death databases by institution [12].
Figure 2
Figure 2
Distribution of EHR data acquired from the ABLE system.
Figure 3
Figure 3
Selection of the validation dataset with the exclusion criteria.
Figure 4
Figure 4
The number of in-hospital and cancer-registered deaths over time.
Figure 5
Figure 5
Relationship between mortality rate and regrouped cancer stages.
Figure 6
Figure 6
Relationship between mortality rate and cancer types.
See this image and copyright information in PMC

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