alexa Evaluation of the Metrological Quality of Medico-Admini
ISSN: 2161-0711

Journal of Community Medicine & Health Education
Open Access

Like us on:
OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

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

Goueslard K1, Revert M2,3, Pierron A1, Vuagnat A1,4, Cottenet J1, Benzenine E1, Fresson J5 and Quantin C1,6,7*

1CHRU Dijon, Biostatistics and Medical Information Department (DIM), University of Burgundy, Dijon, France

2School of Midwifery, St. Anthony Hospital Saint - Antoine, 184 rue du Faubourg Saint Antoine, Paris, France

3Research Unit EA7285, Clinical Risk and Health of Women in Security and Perinatal Health, University of Versailles St – Quentin, 2 Avenue of the Source-of-the-Bièvre, Montigny-le-Bretonneux, France

4Research Studies, Evaluation and Statistics, Ministry of Health, Paris, France

5Department of Medical Information, Regional Maternity Hospital of Nancy, France

6INSERM, CIC 1432, Dijon, France; Clinical epidemiology/Clinical Trials Unit, Dijon University Hospital, Clinical Investigation Center, Dijon, France

7INSERM UMR 1181, Biostatistics, Biomathematics, Pharmacoepidemiology and Infectious Diseases, (B2PHI), University Bourgogne, F-21000 Dijon, France

*Corresponding Author:
Catherine Quantin
CHRU Dijon, Biostatistics and Medical Information Department (DIM)
University of Burgundy, Dijon, France
Tel:
33380293465
E-mail: [email protected]

Received date: April 29, 2016; Accepted date: June 06, 2016; Published date: June 15, 2016

Citation: Goueslard K, Revert M, Pierron A, Vuagnat A, Cottenet J, et al. (2016) Evaluation of the Metrological Quality of Medico-Administrative Data for Perinatal Indicators: A Pilot Study. J Community Med Health Educ 6:437. doi:10.4172/2161-0711.1000437

Copyright: © 2016 Goueslard K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

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.

Keywords

Share This Page

Additional Info

Loading
Loading Please wait..
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords