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Interrupted time series analysis to evaluate the performance of drug overdose morbidity indicators shows discontinuities across the ICD-9-CM to ICD-10-CM transition.
Yang, Hannah; Pasalic, Emilia; Rock, Peter; Davis, James W; Nechuta, Sarah; Zhang, Ying.
Afiliação
  • Yang H; EMS and Trauma Systems Section, Montana Department of Public Health and Human Services, Helena, Montana, USA HANNAH.YANG@MT.GOV.
  • Pasalic E; National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Rock P; Kentucky Injury Prevention and Research Center, University of Kentucky, Lexington, Kentucky, USA.
  • Davis JW; Center for Clinical and Translational Science, University of Kentucky, Lexington, Kentucky, USA.
  • Nechuta S; Injury & Behavioral Epidemiology Bureau, New Mexico Department of Health, Santa Fe, New Mexico, USA.
  • Zhang Y; Department of Public Health, Grand Valley State University, Allendale, Michigan, USA.
Inj Prev ; 27(S1): i35-i41, 2021 03.
Article em En | MEDLINE | ID: mdl-33674331
INTRODUCTION: On 1 October 2015, the USA transitioned from the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) to the International Classification of Diseases, 10th Revision (ICD-10-CM). Considering the major changes to drug overdose coding, we examined how using different approaches to define all-drug overdose and opioid overdose morbidity indicators in ICD-9-CM impacts longitudinal analyses that span the transition, using emergency department (ED) and hospitalisation data from six states' hospital discharge data systems. METHODS: We calculated monthly all-drug and opioid overdose ED visit rates and hospitalisation rates (per 100 000 population) by state, starting in January 2010. We applied three ICD-9-CM indicator definitions that included identical all-drug or opioid-related codes but restricted the number of fields searched to varying degrees. Under ICD-10-CM, all fields were searched for relevant codes. Adjusting for seasonality and autocorrelation, we used interrupted time series models with level and slope change parameters in October 2015 to compare trend continuity when employing different ICD-9-CM definitions. RESULTS: Most states observed consistent or increased capture of all-drug and opioid overdose cases in ICD-10-CM coded hospital discharge data compared with ICD-9-CM. More inclusive ICD-9-CM indicator definitions reduced the magnitude of significant level changes, but the effect of the transition was not eliminated. DISCUSSION: The coding change appears to have introduced systematic differences in measurement of drug overdoses before and after 1 October 2015. When using hospital discharge data for drug overdose surveillance, researchers and decision makers should be aware that trends spanning the transition may not reflect actual changes in drug overdose rates.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Classificação Internacional de Doenças / Overdose de Drogas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Classificação Internacional de Doenças / Overdose de Drogas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article