2017
DOI: 10.1016/j.jval.2017.08.688
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Prescription Analysis on Off-Label Drugs In Pediatric Patients Using The Claims Data of The National Health Insurance In Korea

Abstract: Objectives: The objective of this study was to describe racial differences in the prevalence of a cognitive impairment or dementia diagnosis, likelihood of chemoimmunotherapy utilization and subsequent survival in elderly diffuse large B-cell lymphoma (DLBCL) patients. MethOds: We conducted a retrospective cohort study using cancer data from the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database. We identified Medicare beneficiaries with a first primary DLBCL diagnosis between 2001 and… Show more

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“…First, there could be an inaccuracy of the information in defining newly diagnosed dyslipidemia patients due to the nature of the claims database. However, previous studies for the diagnosis codes of the NHIS data have shown that 70% of the data from the NHIS database matched with those from patients’ medical records [35,36]. Second, we could not account for LDL –C levels due to the lack of information—not only the test for LDL-C, but also total cholesterol, TG and HDL-C levels not included in this study.…”
Section: Discussionmentioning
confidence: 98%
“…First, there could be an inaccuracy of the information in defining newly diagnosed dyslipidemia patients due to the nature of the claims database. However, previous studies for the diagnosis codes of the NHIS data have shown that 70% of the data from the NHIS database matched with those from patients’ medical records [35,36]. Second, we could not account for LDL –C levels due to the lack of information—not only the test for LDL-C, but also total cholesterol, TG and HDL-C levels not included in this study.…”
Section: Discussionmentioning
confidence: 98%
“…However, approximately 70% of diagnostic codes were consistent with medical records. 40 41 In addition, since the risk factor analysis was performed only with the underlying diseases included in CCI, there may be limitations in the interpretation of the results, and further studies on important underlying diseases not included in CCI are needed in the future.…”
Section: Discussionmentioning
confidence: 99%
“…According to a previous validation study that compared diagnoses from the database to the actual diagnoses documented in the patients' medical records, KNHI Claims Data had an 83.4% overall positive predictive value in the cases of hospitalized patients [3738]. The diagnostic codes were also more accurate for claims involving conditions with higher severity, such as preeclampsia [3940].…”
Section: Discussionmentioning
confidence: 99%