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Accuracy of ICD-10-CM encounter diagnoses from health records for identifying self-harm events.
Simon, Gregory E; Shortreed, Susan M; Boggs, Jennifer M; Clarke, Gregory N; Rossom, Rebecca C; Richards, Julie E; Beck, Arne; Ahmedani, Brian K; Coleman, Karen J; Bhakta, Bhumi; Stewart, Christine C; Sterling, Stacy; Schoenbaum, Michael; Coley, R Yates; Stone, Marc; Mosholder, Andrew D; Yaseen, Zimri S.
Afiliación
  • Simon GE; Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
  • Shortreed SM; Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
  • Boggs JM; Kaiser Permanente Colorado Institute for Health Research, Denver, Colorado, USA.
  • Clarke GN; Kaiser Permanente Northwest Center for Health Research, Portland, Oregon, USA.
  • Rossom RC; HealthPartners Institute, Minneapolis, Minnesota, USA.
  • Richards JE; Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
  • Beck A; Kaiser Permanente Colorado Institute for Health Research, Denver, Colorado, USA.
  • Ahmedani BK; Center for Health Policy and Services Research, Henry Ford Health, Detroit, Michigan, USA.
  • Coleman KJ; Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena, California, USA.
  • Bhakta B; Kaiser Permanente Southern California Department of Research and Evaluation, Pasadena, California, USA.
  • Stewart CC; Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
  • Sterling S; Kaiser Permanente Northern California Division of Research, Oakland, California, USA.
  • Schoenbaum M; National Institute of Mental Health, Bethesda, Maryland, USA.
  • Coley RY; Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
  • Stone M; U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
  • Mosholder AD; U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
  • Yaseen ZS; U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
J Am Med Inform Assoc ; 29(12): 2023-2031, 2022 11 14.
Article en En | MEDLINE | ID: mdl-36018725
OBJECTIVE: Assess the accuracy of ICD-10-CM coding of self-harm injuries and poisonings to identify self-harm events. MATERIALS AND METHODS: In 7 integrated health systems, records data identified patients reporting frequent suicidal ideation. Records then identified subsequent ICD-10-CM injury and poisoning codes indicating self-harm as well as selected codes in 3 categories where uncoded self-harm events might be found: injuries and poisonings coded as undetermined intent, those coded accidental, and injuries with no coding of intent. For injury and poisoning encounters with diagnoses in those 4 groups, relevant clinical text was extracted from records and assessed by a blinded panel regarding documentation of self-harm intent. RESULTS: Diagnostic codes selected for review include all codes for self-harm, 43 codes for undetermined intent, 26 codes for accidental intent, and 46 codes for injuries without coding of intent. Clinical text was available for review for 285 events originally coded as self-harm, 85 coded as undetermined intent, 302 coded as accidents, and 438 injury events with no coding of intent. Blinded review of full-text clinical records found documentation of self-harm intent in 254 (89.1%) of those originally coded as self-harm, 24 (28.2%) of those coded as undetermined, 24 (7.9%) of those coded as accidental, and 48 (11.0%) of those without coding of intent. CONCLUSIONS: Among patients at high risk, nearly 90% of injuries and poisonings with ICD-10-CM coding of self-harm have documentation of self-harm intent. Reliance on ICD-10-CM coding of intent to identify self-harm would fail to include a small proportion of true self-harm events.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Clasificación Internacional de Enfermedades / Conducta Autodestructiva Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Clasificación Internacional de Enfermedades / Conducta Autodestructiva Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido