Comparison of Validity of Mapping between Drug Indications and ICD-10 Direct and Indirect Terminology Based Approaches
DC Field | Value | Language |
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dc.contributor.author | Choi, Y[Choi, Y.] | - |
dc.contributor.author | Jung, C[Jung, C.] | - |
dc.contributor.author | Chae, Y[Chae, Y.] | - |
dc.contributor.author | Kang, M[Kang, M.] | - |
dc.contributor.author | Kim, J[Kim, J.] | - |
dc.contributor.author | Joung, K[Joung, K.] | - |
dc.contributor.author | Lim, J[Lim, J.] | - |
dc.contributor.author | Cho, S[Cho, S.] | - |
dc.contributor.author | Sung, S[Sung, S.] | - |
dc.contributor.author | Lee, E[Lee, E.] | - |
dc.contributor.author | Kim, S[Kim, S.] | - |
dc.date.accessioned | 2021-08-04T04:53:49Z | - |
dc.date.available | 2021-08-04T04:53:49Z | - |
dc.date.created | 2016-08-07 | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 0026-1270 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/56959 | - |
dc.description.abstract | Background: Mapping of drug indications to ICD-10 was undertaken in Korea by a public and a private institution for their own purposes. A different mapping approach was used by each institution, which presented a good opportunity to compare the validity of the two approaches. Objectives: This study was undertaken to compare the validity of a direct mapping approach and an indirect terminology based mapping approach of drug indications against the gold standard drawn from the results of the two mapping processes. Methods: Three hundred and seventy-five cardiovascular reference drugs were selected from all listed cardiovascular drugs for the study. In the direct approach, two experienced nurse coders mapped the free text indications directly to ICD-10. In the indirect terminology based approach, the indications were extracted and coded in the Korean Standard Terminology of Medicine. These terminology coded indications were then manually mapped to ICD-10. The results of the two approaches were compared to the gold standard. A kappa statistic was calculated to see the compatibility of both mapping approaches. Recall, precision and Fl score of each mapping approach were calculated and analyzed using a paired t-test. Results: The mean number of indications for the study drugs was 5.42. The mean number of ICD-10 codes that matched in direct approach was 46.32 and that of indirect terminology based approach was 56.94. The agreement of the mapping results between the two approaches were poor (kappa = 0.19). The indirect terminology based approach showed higher recall (86.78%) than direct approach (p <0.001). However, there was no difference in precision and Fl score between the two approaches. Conclusions: Considering no differences in the Fl scores, both approaches may be used in practice for mapping drug indications to ICD-b. However, in terms of consistency, time and manpower, better results are expected from the indirect terminology based approach. | - |
dc.publisher | SCHATTAUER GMBH-VERLAG MEDIZIN NATURWISSENSCHAFTEN | - |
dc.subject | INTERFACE TERMINOLOGIES | - |
dc.title | Comparison of Validity of Mapping between Drug Indications and ICD-10 Direct and Indirect Terminology Based Approaches | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, E[Lee, E.] | - |
dc.identifier.doi | 10.3414/ME13-01-0053 | - |
dc.identifier.scopusid | 2-s2.0-84901479579 | - |
dc.identifier.wosid | 000336353400007 | - |
dc.identifier.bibliographicCitation | METHODS OF INFORMATION IN MEDICINE, v.53, no.3, pp.195 - 201 | - |
dc.relation.isPartOf | METHODS OF INFORMATION IN MEDICINE | - |
dc.citation.title | METHODS OF INFORMATION IN MEDICINE | - |
dc.citation.volume | 53 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 195 | - |
dc.citation.endPage | 201 | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | INTERFACE TERMINOLOGIES | - |
dc.subject.keywordAuthor | Drug indication database | - |
dc.subject.keywordAuthor | semantic mapping | - |
dc.subject.keywordAuthor | International Classification of Diseases (ICD) | - |
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