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Database - Alliance francophone pour l'accouchement respecté (AFAR)

Description of this bibliographical database (AFAR website)
Currently 3043 records
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https://afar.info/id=269

Created on : 18 Dec 2003
Modified on : 01 Dec 2007

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Bibliographical entry (without author) :

Web-based data collection in midwifery clinical education. Journal of Midwifery & Women’s Health. 2003;48(6):437.

Author(s) :

Walker DS, Pohl JM.

Year of publication :

2003

URL(s) :

http://www2.us.elsevierhealth.com/scripts/om.dll/s…

Résumé (français)  :

Abstract (English)  :

A Web-based computerized database for clinical data collection use by midwifery and nurse practitioner students was developed and revised over 2 years. The database provided insight into the number and diversity of clients seen as well as the student’s level of autonomy. Students documented a selected set of data elements sensitive to nursing and midwifery care for all client encounters. Analysis of the clinical encounter data entered by nurse-midwifery students in the Antepartum Care course during two winter semesters included 1,417 client encounters. Results of the analyses are presented as well as educational and clinical issues involved in the development and maintenance of the database. Future work includes refining the current database, expanding the data set to include the ACNM nurse-midwifery clinical data sets for antepartum and intrapartum care, and pilot testing the Web-based version in Fall 2003 by using wireless, handheld technology.

Sumário (português)  :

Comments :

Argument (français) :

Argument (English):

Argumento (português):

Keywords :

➡ midwifery training ; midwife

Author of this record :

Cécile Loup — 18 Dec 2003
➡ latest update : Bernard Bel — 01 Dec 2007

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This database is managed by Alliance francophone pour l'accouchement respecté (AFAR, https://afar.info)
affiliated with Collectif interassociatif autour de la naissance (CIANE, https://ciane.net).
It is fed by the voluntary contributions of persons interested in the sharing of scientific data.
If you agree with this project, you can support us in several ways:
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Contact afar.association(arobase)gmail.com for more information.

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