From Data to Signals to Screenshots: Recent Developments in NYCDOHMH ED Syndromic Surveillance. - PowerPoint PPT Presentation

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From Data to Signals to Screenshots: Recent Developments in NYCDOHMH ED Syndromic Surveillance.

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From Data to Signals to Screenshots: Recent Developments in NYCDOHMH ED Syndromic Surveillance. Marc Paladini New York City Department of Health and Mental Hygiene – PowerPoint PPT presentation

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Title: From Data to Signals to Screenshots: Recent Developments in NYCDOHMH ED Syndromic Surveillance.


1
From Data to Signals to Screenshots Recent
Developments in NYCDOHMHED Syndromic
Surveillance.
  • Marc Paladini
  • New York City Department of Health and Mental
    Hygiene

2
Questions
  • What are we looking for?
  • How are we looking for it?
  • What do we need to find it?
  • What do we do after we find it?
  • How does this help us do our job more effectively?

3
Outline
  • Introduction to NYC emergency department
    syndromic surveillance.
  • Analysis
  • Signal Investigation
  • Data Visualization
  • Future Directions

4
Analysis
5
Hospital map
6
ED Syndromic Surveillance in NYC
  • Chief complaint hierarchical syndrome coding
  • Syndromes
  • 1. Sepsis
  • 2. Respiratory
  • 3. Rash
  • 4. Fever
  • 5. Cold
  • 6. Diarrhea
  • 7. Asthma
  • 8. Vomit
  • Other

7
Hospital Statistics - 2005
  • 3,136,772 total visits. (7000-10,000 / day)

8
Data Analysis
  • Ratio of syndrome/other
  • Citywide and spatial (zip code, hospital)
  • Age 13 respiratory and fever
  • All ages diarrhea and vomit
  • Age group
  • 0-4
  • 5-17
  • 18-59
  • 60
  • 7 days/week

9
SIGNALS
10
Syndromic Analyst
  • Run surveillance usually _at_ 2 hours
  • Review output for signals
  • Review signal details
  • Linelist
  • Baseline vs. signal frequency tables
  • Consult with DOH Physician on call (Cluster Doc)

11
Cluster Doc
  • Review data with analyst
  • Ask for further details
  • Decide on follow up
  • guidelines/protocol
  • fingerprint of signal

12
Signals 2005
13
Investigation of Signals
  • Review line list
  • Check complimentary systems
  • Acquire interim data (12 hour log)
  • Call to EDs
  • Chart reviews
  • Patient follow up (phone calls)
  • Augment lab testing/collect specimens
  • On site epi teams
  • Special studies (case-control)

14
Routine Steps
  • First day (Resp/Fev) vs. 2nd day (Vom/Dia)
  • Perform descriptive statistics, midday log
  • Examine CUSUM, other systems
  • Call hospitals with CUSUM alarms
  • What did they see yesterday?
  • What are the seeing today?
  • Clinical clusters, unexpected severe illness?
  • Augment lab testing
  • Alert ED staff

15
Concerning Features of a Syndromic Signal
  • Sustained
  • Multiple hospitals
  • Large number of excess cases
  • Uniformity of chief complaints
  • Young adults or age/sex clustering
  • Overlapping syndrome signals
  • Coincident clinician call
  • Coincident with high profile public event
  • Concordance with other surveillance systems

16
Results of Investigations
  • Some clear seasonal patterns evident
  • Sharp spikes associated with known events
  • Rich ecological associations
  • Difficult to investigate
  • Used to reinforce public health messages
    (influenza, viral GI, heat wave, blackout, asthma)

17
Proposed Prospective Investigation Protocol
  • All significant resp and fever signals
  • Chart reviews
  • Patient interviews
  • Classify if cases in signal are related
  • by lab diagnosis, i.e. strep pharyngitis
  • by clinical diagnosis, i.e. pharyngitis
  • by risk factor, i.e. subway travel

18
DATA VISUALIZATION
19
Intranet
20
Respiratory intranet
21
Signal details 1
22
Signal details 2
23
Signal details 3
24
Signal details 4
25
FUTURE DIRECTIONS
26
ILI age 1
27
ILI age 2 - serfling
28
ILI age 3 - TERS
29
ILI age 4 - daily
30
Resp CC
31
Fev/resp/resp non-feb
32
Diar/vom age 0-4
33
Fev resp/fev cold
34
Questions and Projects
  • What are we looking for?
  • Are more fields better?
  • Discharge diagnosis / ICD-9 code
  • Disposition
  • Recorded temperature
  • Quantify effect of school closings
  • Day of Week
  • SaTScan mapping
  • Age as space
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