Syndromic Surveillance of Acute Gastroenteritis Using the French Health Insurance Database: Discriminatory Algorithm and Drug Prescription Practices Evaluations

Autor: Mohamed Skiba, Catherine Galey, Frédéric Bounoure, Pascal Beaudeau, Malek Bentayeb, Malika Lahiani-Skiba, Damien Mouly, Gabrielle Jones, Julie Chesneau
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Adult
medicine.medical_specialty
Adolescent
Health
Toxicology and Mutagenesis
Population
lcsh:Medicine
Pharmacy
Certification
010501 environmental sciences
01 natural sciences
Drug Prescriptions
Article
03 medical and health sciences
0302 clinical medicine
medicine
Humans
waterborne outbreak
syndromic surveillance
030212 general & internal medicine
Medical prescription
acute gastroenteritis
education
Child
Reimbursement
0105 earth and related environmental sciences
education.field_of_study
Insurance
Health
drug prescription
business.industry
Public health
lcsh:R
Public Health
Environmental and Occupational Health
Waterborne diseases
Acute gastroenteritis
medicine.disease
humanities
Gastroenteritis
pharmacy survey
Child
Preschool
Population Surveillance
health insurance reimbursement database
France
business
Algorithm
Sentinel Surveillance
Algorithms
Zdroj: International Journal of Environmental Research and Public Health
Volume 17
Issue 12
International Journal of Environmental Research and Public Health, Vol 17, Iss 4301, p 4301 (2020)
ISSN: 1660-4601
DOI: 10.3390/ijerph17124301
Popis: The French national public health agency (Santé
publique France) has used data from the national health insurance reimbursement system (SNDS) to identify medicalised acute gastroenteritis (mAGE) for more than 10 years. This paper presents the method developed to evaluate this system: performance and characteristics of the discriminatory algorithm, portability in mainland and overseas French departments, and verification of the mAGE database updating process. Pharmacy surveys with certified mAGE from 2012 to 2015 were used to characterise mAGE and to estimate the sensitivity and predictive positive value (PPV) of the algorithm. Prescription characteristics from these pharmacy surveys and from 2014 SNDS prescriptions in six mainland and overseas departments were compared. The sensitivity (0.90) and PPV (0.82) did not vary according to the age of the population or year. Prescription characteristics were similar within all studied departments. This confirms that the algorithm can be used in all French departments, for both paediatric and adult populations, with stability and durability over time. The algorithm can identify mAGE cases at a municipal level. The validated system has been implemented in a national waterborne disease outbreaks surveillance system since 2019 with the aim of improving the prevention of infectious disease risk attributable to localised tap water systems.
Databáze: OpenAIRE
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