Distribution of agitation and related symptoms among hospitalized patients using a scalable natural language processing method
| Autor: | Sabina Berretta, Shawn N. Murphy, Kamber L. Hart, Brent P. Forester, Amelia M. Pellegrini, Thomas H. McCoy, Roy H. Perlis |
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| Rok vydání: | 2021 |
| Předmět: |
Psychosis
Psychomotor agitation Hospitalized patients Anxiety computer.software_genre Article 03 medical and health sciences 0302 clinical medicine medicine Humans 030212 general & internal medicine Psychomotor Agitation Natural Language Processing Depressive Disorder Major business.industry Public health insurance medicine.disease 030227 psychiatry Psychiatry and Mental health Psychotic Disorders Hospital admission Major depressive disorder Delirium Artificial intelligence medicine.symptom business Mania computer Natural language processing |
| Zdroj: | Gen Hosp Psychiatry |
| ISSN: | 0163-8343 |
| DOI: | 10.1016/j.genhosppsych.2020.11.003 |
| Popis: | Background Agitation is a common feature of many neuropsychiatric disorders. Objective Understanding the prevalence, implications, and characteristics of agitation among hospitalized populations can facilitate more precise recognition of disability arising from neuropsychiatric diseases. Methods We developed two agitation phenotypes using an expansion of expert curated term lists. These phenotypes were used to characterize five years of psychiatric admissions. The relationship of agitation symptoms and length of stay was examined. Results Among 4548 psychiatric admissions, 1134 (24.9%) included documentation of agitation based on the primary agitation phenotype. These symptoms were greater among individuals with public insurance, and those with mania and psychosis compared to major depressive disorder. Greater symptoms were associated with longer hospital stay, with ~0.9 day increase in stay for every 10% increase in agitation phenotype. Conclusion Agitation was common at hospital admission and associated with diagnosis and longer length of stay. Characterizing agitation-related symptoms through natural language processing may provide new tools for understanding agitated behaviors and their relationship to delirium. |
| Databáze: | OpenAIRE |
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