[Process and outcome quality of the German Paediatric Surveillance Unit (ESPED)]

U Göbel1, B Heinrich, K A Krauth

  • 1ESPED-Geschäftsstelle, Koordinierungszentrum für Klinische Studien, Universitätsklinikum Düsseldorf, Germany.

Klinische Padiatrie
|February 11, 2010
PubMed

Insights

The German Paediatric Surveillance Unit (ESPED) collects data on rare childhood diseases. This system has significantly aided high-quality research into these conditions.

Area of Science:

  • Pediatric Epidemiology
  • Rare Disease Surveillance
  • Public Health Research

Background:

  • Established in 1992, the German Paediatric Surveillance Unit (ESPED) aims to gather incidence data and clinical details for rare pediatric diseases requiring hospitalization.
  • ESPED utilizes monthly mailing cards sent to pediatric department heads to collect diagnoses for up to 12 conditions.

Purpose of the Study:

  • To assess the effectiveness and scientific impact of the ESPED system in monitoring rare pediatric diseases.
  • To evaluate data collection methods and return rates for surveillance of specific conditions.

Main Methods:

  • Monthly mailings of diagnosis cards to pediatric departments, with a 96% return rate in 2007.
  • Follow-up questionnaires for reported conditions, achieving 70-100% return rates for 43 out of 52 surveyed conditions.
  • Assessment of scientific impact through publication analysis in journals with and without impact factors.

Main Results:

  • High return rates (70-100%) were achieved for most conditions, particularly when principal investigators had support staff or the ESPED office managed mailings.
  • By August 2008, 104 publications resulted from ESPED data, with 10 appearing in high-impact factor journals (>10).
  • ESPED surveillance has facilitated significant contributions to research on rare pediatric conditions.

Conclusions:

  • The ESPED system is a valuable tool for generating high-quality research on rare pediatric diseases.
  • Effective data collection and principal investigator support are key to successful disease surveillance.
Abstract

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