| Autor: |
Stephen R. Benoit, Anna Grigoryan, Soyoun Park, Deborah W. Gould, Achintya N. Dey, Umed A. Ajani |
| Rok vydání: |
2015 |
| Předmět: |
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| Zdroj: |
Advances in Research. 3:455-459 |
| ISSN: |
2348-0394 |
| DOI: |
10.9734/air/2015/13710 |
| Popis: |
Background: Recent national surveys indicate that 5% of ambulatory care visits involved patients with mental disorder diagnosis. Objective: The objective of this study is to demonstrate the use of automated surveillance data for describing the burden of co-morbidity among patients with mental illness. Methods: We used Emergency Department (ED) visits data from over 650 non-federal hospitals that participated in BioSense from 2008-2011. The variables used in this descriptive analysis are age, gender, and syndromes as defined by BioSense program. The study included only ED visits from people of ≥ 18 years old and with the discharge diagnosis ICD-9-CM codes of mental illness (290 – 312). Co-morbidity was defined broadly as the co-occurrence of other medical condition |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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