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Health Serv Res ; 54(3): 613-622, 2019 06.
Artículo en Inglés | MEDLINE | ID: mdl-30474108

RESUMEN

OBJECTIVE: To compare the Agency for Healthcare Research and Quality's Quality and Safety Review System (QSRS) and the proposed triadic structure for the 11th version of the International Classification of Disease (ICD-11) in their ability to capture adverse events in U.S. hospitals. DATA SOURCES/STUDY SETTING: One thousand patient admissions between 2014 and 2016 from three general, acute care hospitals located in Maryland and Washington D.C. STUDY DESIGN: The admissions chosen for the study were a random sample from all three hospitals. DATA COLLECTION/EXTRACTION METHODS: All 1000 admissions were abstracted through QSRS by one set of Certified Coding Specialists and a different set of coders assigned the draft ICD-11 codes. Previously assigned ICD-10-CM codes for 230 of the admissions were also used. PRINCIPAL FINDINGS: We found less than 20 percent agreement between QSRS and ICD-11 in identifying the same adverse event. The likelihood of a mismatch between QSRS and ICD-11 was almost twice that of a match. The findings were similar to the agreement found between QSRS and ICD-10-CM in identifying the same adverse event. When coders were provided with a list of potential adverse events, the sensitivity and negative predictive value of ICD-11 improved. CONCLUSIONS: While ICD-11 may offer an efficient way of identifying adverse events, our analysis found that in its draft form, it has a limited ability to capture the same types of events as QSRS. Coders may require additional training on identifying adverse events in the chart if ICD-11 is going to prove its maximum benefit.


Asunto(s)
Documentación/normas , Administración Hospitalaria/estadística & datos numéricos , Clasificación Internacional de Enfermedades/normas , Daño del Paciente/estadística & datos numéricos , United States Agency for Healthcare Research and Quality/normas , Adulto , Anciano , District of Columbia , Femenino , Humanos , Masculino , Maryland , Persona de Mediana Edad , Seguridad del Paciente/normas , Administración de la Seguridad/normas , Estados Unidos , United States Agency for Healthcare Research and Quality/estadística & datos numéricos
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