ISSN: 2161-0711

Médecine communautaire et éducation à la santé

Accès libre

Notre groupe organise plus de 3 000 séries de conférences Événements chaque année aux États-Unis, en Europe et en Europe. Asie avec le soutien de 1 000 autres Sociétés scientifiques et publie plus de 700 Open Access Revues qui contiennent plus de 50 000 personnalités éminentes, des scientifiques réputés en tant que membres du comité de rédaction.

Les revues en libre accès gagnent plus de lecteurs et de citations
700 revues et 15 000 000 de lecteurs Chaque revue attire plus de 25 000 lecteurs

Abstrait

Evaluation of the Metrological Quality of Medico-Administrative Data for Perinatal Indicators: A Pilot Study

Goueslard K, Revert M, Pierron A, Vuagnat A, Cottenet J, Benzenine E, Fresson J and Quantin C

Background: In order to assess public health policies for the perinatal period, routinely produced indicators are needed for the whole population. These indicators are used to compare French national public health policy with those of other European countries. French medico-administrative data are straightforward and may be a valuable source of information for research. The study aimed to assess the metrological quality of medico-administrative data for perinatal indicators in three university hospitals.
Methods: The hospital data were compared with medical records for 2012 for 300 live births after 22 weeks of amenorrhea, drawn at random from three university hospitals. The variables were chosen according to the Europeristat Project’s core and recommended indicators, as well as those of the French National Perinatal survey conducted in 2010. The information gathered blindly from the medical records was compared with the medicoadministrative data. The positive predictive value (PPV) and the sensitivity were used to assess data quality.
Results: Data on maternal age, parity and mode of delivery as well as the rates of premature births from the two sources were superimposable. The PPV was 100.0% for pre-existing diabetes, 88.9% [74.3-100] for gestational diabetes and 100.0% for hypertension disorders with a rate of 9.0% in hospital data and 6.3% in the medical records. The positive predictive value for pre-eclampsia and HELLP syndrome was also 100% but the sensitivity was only 81.3%. The positive predictive value was 81.3% [67.8-94.8] for obesity and 90% [79.8-99.2] for postpartum hemorrhage.
Conclusion: This pilot study showed variability between establishments and between indicators, which reinforces the need for specific training in coding for activities. It confirms the importance of conducting such studies at the national level.