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

Frederic Bounoure, Damien Mouly, Pascal Beaudeau, Malek Bentayeb, Julie Chesneau, Gabrielle Jones, Mohamed Skiba, Malika Lahiani-Skiba and Catherine Galey
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Frederic Bounoure: Laboratory of Pharmaceutical & Biopharmaceutical Technology, UFR of Health, Normandy University, Unirouen, 22 Bd Gambetta, 76183 Rouen Cedex, France
Damien Mouly: Santé Publique France, French National Public Health Agency, F-94415 Saint-Maurice, France
Pascal Beaudeau: Santé Publique France, French National Public Health Agency, F-94415 Saint-Maurice, France
Malek Bentayeb: Santé Publique France, French National Public Health Agency, F-94415 Saint-Maurice, France
Julie Chesneau: Santé Publique France, French National Public Health Agency, F-94415 Saint-Maurice, France
Gabrielle Jones: Santé Publique France, French National Public Health Agency, F-94415 Saint-Maurice, France
Mohamed Skiba: Laboratory of Pharmaceutical & Biopharmaceutical Technology, UFR of Health, Normandy University, Unirouen, 22 Bd Gambetta, 76183 Rouen Cedex, France
Malika Lahiani-Skiba: Laboratory of Pharmaceutical & Biopharmaceutical Technology, UFR of Health, Normandy University, Unirouen, 22 Bd Gambetta, 76183 Rouen Cedex, France
Catherine Galey: Santé Publique France, French National Public Health Agency, F-94415 Saint-Maurice, France

IJERPH, 2020, vol. 17, issue 12, 1-11

Abstract: 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.

Keywords: syndromic surveillance; acute gastroenteritis; waterborne outbreak; health insurance reimbursement database; drug prescription; France; pharmacy survey (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:17:y:2020:i:12:p:4301-:d:372209

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