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Collecting population‐based perinatal data efficiently: the example of the Lebanese National Perinatal Survey
Author(s) -
Blondel Béatrice,
Zein Ali,
Ghosn Nada,
Du Mazaubrun Christiane,
Bréart Gérard
Publication year - 2006
Publication title -
paediatric and perinatal epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.667
H-Index - 88
eISSN - 1365-3016
pISSN - 0269-5022
DOI - 10.1111/j.1365-3016.2006.00732.x
Subject(s) - medicine , population , pregnancy , caesarean section , health care , gestational age , medical record , interview , pediatrics , birth rate , obstetrics , family medicine , demography , environmental health , fertility , genetics , radiology , sociology , political science , law , economics , biology , economic growth
Summary We describe the methodology and the main results of the Lebanese perinatal health survey. The survey was carried out during two consecutive weeks in autumn 1999 and spring 2000, with the aim of obtaining a minimum data set on all births occurring during a short period of time. All live births and stillbirths occurring during these periods in medical settings were recorded. The sample included 5231 women and 5333 newborns. Data were obtained from medical records and by interviewing the women in hospital after delivery. All maternity units and birth centres agreed to participate. Maternal characteristics, medical care during pregnancy and delivery, and pregnancy outcome were similar for the two study periods. However, gestational age distribution differed between the two periods. In total, 9.0% of infants were born <37 weeks of gestation and 7.0% weighed <2500 g at birth. Wide regional variations were observed for many indicators of health, care and risk factors. For instance, the caesarean section rate varied from 16.2% in the North Region to 28.0% in Beirut. The survey protocol was successfully applied in Lebanon and may be useful in other countries that have a relatively well‐developed healthcare system, but few sources of reliable population‐based statistics on health and medical care. This type of survey may also be an appropriate instrument for collecting additional data for health policy evaluations.