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Updated: Jun 15, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
[The eastern Paris perinatal network (2008-2010). Defining the target population and assessing health needs]
A Serfaty1, F Gold, J-L Benifla
1Département d'information médicale, groupe hospitalier Armand-Trousseau La Roche-Guyon, 26, avenue du Dr-Arnold-Netter, 75012 Paris, France. annie.serfaty@trs.aphp.fr <annie.serfaty@trs.aphp.fr>
Defining the target population for the Eastern Paris Perinatal Network is crucial for effective healthcare planning. This involves considering both local residents and those utilizing services, estimating around 19,000 women for the network.
Area of Science:
- Perinatal care regionalization
- Public health policy
- Healthcare network planning
Context:
- French governmental plans since the 1990s have promoted regionalization of perinatal care to enhance safety and quality.
- The Eastern Paris Perinatal Network is being established in health area 75-2, encompassing specific arrondissements of Paris.
- A key challenge is ensuring the network adequately serves its intended population.
Purpose:
- To define the target population of mothers and newborns for the Eastern Paris Perinatal Network.
- To develop a matrix for assessing population needs and identifying necessary data for network planning.
Summary:
- A matrix was developed using data from INSEE, health facility activities, national medical informatics programs, and 8th-day health certificates.
- The target population varies by perinatal period; for conception, it includes all women aged 15-49.
- In 2007, approximately 16,500 women gave birth in the area, with only 41.46% residing locally. Including women from the area delivering elsewhere, the estimated network population is around 19,000 women.
Impact:
- Highlights the necessity of considering both resident and user populations in urban healthcare planning.
- Emphasizes the importance of clearly defining target populations for effective policy and planning in dense healthcare environments like Paris.
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