Academic Journal
Use of Diagnosis Code in Mental Health Syndrome Definition
| العنوان: | Use of Diagnosis Code in Mental Health Syndrome Definition |
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| المؤلفون: | Dey, Achintya N, Gould, Deborah, Adekoya, Nelson, Hicks, Peter, Ejigu, Girum S, English, Roseanne, Couse, Jenny, Zhou, Hong |
| المصدر: | Online Journal of Public Health Informatics; Vol 10 No 1 (2018) ; 1947-2579 |
| بيانات النشر: | University of Illinois at Chicago Library |
| سنة النشر: | 2018 |
| المجموعة: | University of Illinois at Chicago: Journals@UIC |
| الوصف: | Objective: The objectives of this study are to (1) create a mental health syndrome definition for syndromic surveillance to monitor mental health-related ED visits in near real time; (2) examine whether CC data alone can accurately detect mental health related ED visits; and (3) assess the added value of using Dx data to detect mental health-related ED visits.Introduction: Between 2006 and 2013, the rate of emergency department (ED) visits related to mental and substance use disorders increased substantially. This increase was higher for mental disorders visits (55 percent for depression, anxiety or stress reactions and 52 percent for psychoses or bipolar disorders) than for substance use disorders (37 percent) visits [1]. This increasing number of ED visits by patients with mental disorders indicates a growing burden on the health-care delivery system. New methods of surveillance are needed to identify and understand these changing trends in ED utilization and affected underlying populations.Syndromic surveillance can be leveraged to monitor mental health-related ED visits in near real-time. ED syndromic surveillance systems primarily rely on patient chief complaints (CC) to monitor and detect health events. Some studies suggest that the use of ED discharge diagnoses data (Dx), in addition to or instead of CC, may improve sensitivity and specificity of case identification [2].Methods: We extracted a de-identified random sample of 50,000 ED visits with CC from the National Syndromic Surveillance Program (NSSP) for the period January 1—June 30, 2017. NSSP’s BioSense Platform receives ED data from >4000 hospitals, representing about 55 percent of all ED visits in the country [3]. From this sample we extracted 22868 ED visits that included both CC and Dx data. We then applied our mental health syndrome case definition which comprised mental health-related keywords and ICD-9-CM and ICD-10-CM codes. We queried CC text for the words “stress,” “PTSD,” “anxiety,” “depression,” “clinical depression,” “manic ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | https://journals.uic.edu/ojs/index.php/ojphi/article/view/8983/7242; https://journals.uic.edu/ojs/index.php/ojphi/article/view/8983 |
| DOI: | 10.5210/ojphi.v10i1.8983 |
| الاتاحة: | https://journals.uic.edu/ojs/index.php/ojphi/article/view/8983 https://doi.org/10.5210/ojphi.v10i1.8983 |
| Rights: | Copyright (c) 2018 Online Journal of Public Health Informatics |
| رقم الانضمام: | edsbas.73208703 |
| قاعدة البيانات: | BASE |
| DOI: | 10.5210/ojphi.v10i1.8983 |
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