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Value in Health ; 26(6 Supplement):S369, 2023.
Article Dans Anglais | EMBASE | ID: covidwho-20242066

Résumé

Objectives: To estimate the reclassification of COVID-19 related ICD-10 codes from admission to discharge using Real-World Data (RWD) from the 2020 Mexican Ministry of Health (MoH) hospitals discharge dataset. Method(s): In this retrospective study, we analyzed all COVID-19 related discharges in the 2020 MoH open database, according to ten ICD-10 codes that the WHO associated with COVID-19. Reclassification was defined as those COVID-19 related cases who were discharged with a different ICD-10 code compared to their ICD-10 admission code. Result(s): From a total of 1,937,360 discharges reported in the MoH's 2020 database 63,740 (3.3%), mostly men (60.8%), with a median age of 56 years, were discharged with a COVID-19 related ICD-10 code and 12,945 of these were reclassified (20.3%). Although "2019-nCoV acute respiratory disease" (U071) had the greatest frequency of reclassified discharges (12,013, 22.3%), the "other coronavirus as the cause of diseases classified elsewhere" (B972) was associated with the greatest reclassification proportion (68, 74.7%) followed by "pneumonia case confirmed as due to COVID-19" (J128) (26.0%). Codes with lower percentages were "acute respiratory distress syndrome due to COVID-19" (J80X) and "acute respiratory failure due to COVID-19" (J960) with 6.3% and 3.8%, respectively. From 63,740 discharges, 50.7% were due to clinical improvement, followed by death (38.2%), transfer to another unit (5.2%) and voluntary discharge (3.3%). The J960 code had the highest mortality (67%) followed by codes J80X (59.7%) and U071 (35.5%). Conclusion(s): In our RWD analysis, we identified that 1 in 5 COVID-19 discharges were admitted with different diagnoses, highlighting the enormous challenges faced by the Mexican MoH during the global health crisis to establish an accurate COVID-19 diagnosis and coding. Given that this is the first reclassification analysis in Mexico, the conduction of future studies is essential to gain more insights on the consequences of reclassification at a health system level.Copyright © 2023

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