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This summary is machine-generated.

This study shows that matching 911 call time and patient details can identify duplicate emergency medical services (EMS) records. This method improves patient-level data accuracy from the National Emergency Medical Services Information System.

Keywords:
EMSNEMSISResearch methods

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Area of Science:

  • Emergency Medicine
  • Health Services Research
  • Data Science

Background:

  • The National Emergency Medical Services Information System (NEMSIS) public release data is valuable for EMS research.
  • Current data organization by EMS response poses challenges for patient-level analysis due to multiple EMS units attending single patients.
  • Accurate patient-level event inference is crucial for effective emergency medical services research.

Purpose of the Study:

  • To evaluate if 911 call time and patient characteristics can effectively screen for multiple EMS records representing a single patient encounter.
  • To improve the accuracy of patient-level data derived from the NEMSIS public release dataset.
  • To address challenges in EMS research caused by duplicate response records.

Main Methods:

  • A cross-sectional study utilizing 2024 New York City EMS response data for assaults.
  • Identified EMS responses with identical 911 call time, patient age, sex, race/ethnicity, and location (longitude-latitude).
  • Assessed the validity of matching on call time, demographics, and location to screen for single patient encounters.

Main Results:

  • Out of 32,202 EMS responses, 5,143 (approximately 16%) matched other responses across all variables, indicating 26,451 unique patient encounters.
  • Matching on 911 call time, patient age, sex, race, and ethnicity achieved 100% sensitivity.
  • The specificity ranged from 91.3% to 98.6% for identifying responses that also matched on location.

Conclusions:

  • The NEMSIS public release data can be utilized to screen for duplicate EMS responses.
  • This screening method has the potential to significantly improve patient-level event inferences in EMS research.
  • Utilizing readily available NEMSIS data offers a practical approach to enhance data quality for research purposes.