Literature DB >> 28692400

Developing Syndromic Surveillance to Monitor and Respond to Adverse Health Events Related to Psychoactive Substance Use: Methods and Applications.

Michelle L Nolan1, Hillary V Kunins1, Ramona Lall2, Denise Paone1.   

Abstract

INTRODUCTION: Recent increases in drug overdose deaths, both in New York City and nationally, highlight the need for timely data on psychoactive drug-related morbidity. We developed drug syndrome definitions for syndromic surveillance to monitor drug-related emergency department (ED) visits in real time.
MATERIALS AND METHODS: We used 2012 archived syndromic surveillance data from New York City hospitals to develop definitions for psychoactive drug-related syndromes. The dataset contained ED visit-level information that included patients' chief complaints, dates of visits, ZIP codes of residence, discharge diagnoses, and dispositions. After manually reviewing chief complaints, we developed a classification scheme comprising 3 categories (overdose, drug mention, and drug abuse/misuse), which we used to define 25 psychoactive drug syndromes. From July 2013 through December 2015, the New York City Department of Health and Mental Hygiene performed daily syndromic surveillance of psychoactive drug-related ED visits using the 25 syndrome definitions.
RESULTS: Syndromic surveillance triggered 4 public health investigations, supported 8 other public health investigations that had been triggered by other mechanisms, and resulted in the identification of 5 psychoactive drug-related outbreaks. Syndromic surveillance also identified a substantial increase in synthetic cannabinoid-related visits (from an average of 3 per week in January 2014 to >300 per week in July 2015) and an increase in heroin overdose visits (from 80 to 171 in the first 3 quarters of 2012 and 2014, respectively) in a single neighborhood. PRACTICE IMPLICATIONS: Syndromic surveillance using these novel definitions enabled monitoring of trends in psychoactive drug-related morbidity, initiation and support of public health investigations, and targeting of interventions. Health departments can refine these definitions for their jurisdictions using the described methods and integrate them into existing syndromic surveillance systems.

Entities:  

Keywords:  drugs; interventions; syndromic surveillance

Mesh:

Substances:

Year:  2017        PMID: 28692400      PMCID: PMC5676520          DOI: 10.1177/0033354917718074

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  7 in total

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3.  A public health approach to increased synthetic cannabinoid-related morbidity among New York City residents, 2014-2015.

Authors:  Michelle L Nolan; Bennett Allen; Hillary V Kunins; Denise Paone
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4.  Diarrheal illness detected through syndromic surveillance after a massive power outage: New York City, August 2003.

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7.  Evaluating the New York City Emergency Department Syndromic Surveillance for Monitoring Influenza Activity during the 2009-10 Influenza Season.

Authors:  Emily Westheimer; Marc Paladini; Sharon Balter; Don Weiss; Anne Fine; Trang Quyen Nguyen
Journal:  PLoS Curr       Date:  2012-08-17
  7 in total
  5 in total

1.  Using Syndromic Surveillance for All-Hazards Public Health Surveillance: Successes, Challenges, and the Future.

Authors:  Paula W Yoon; Amy I Ising; Julia E Gunn
Journal:  Public Health Rep       Date:  2017 Jul/Aug       Impact factor: 2.792

2.  Syndromic Surveillance of Emergency Department Visits for Acute Adverse Effects of Marijuana, Tri-County Health Department, Colorado, 2016-2017.

Authors:  Grace E Marx; Yushiuan Chen; Michele Askenazi; Bernadette A Albanese
Journal:  Public Health Rep       Date:  2019-02-05       Impact factor: 2.792

3.  Opioid Overdose Surveillance : Improving Data to Inform Action.

Authors:  Brooke E Hoots
Journal:  Public Health Rep       Date:  2021 Nov-Dec       Impact factor: 2.792

4.  Novel use of syndromic surveillance to monitor the impact of synthetic cannabinoid control measures on morbidity.

Authors:  Michelle L Nolan; Amy Ehntholt; Thomas Merrill; Don Weiss; Ramona Lall; Denise Paone
Journal:  Inj Epidemiol       Date:  2019-07-08

5.  Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance.

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  5 in total

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