Abstract
The use of minimum data sets (MDS) has become integral to managing information in health care. The American College of Nurse-Midwives is redesigning the Nurse-Midwifery Clinical Data Set to function as a MDS to improve efficiency of data management and aggregation of data for all types of nurse-midwifery practices. The purpose of this study was to identify the processes of care used by certified nurse-midwives (CNM) providing antenatal care to assist with the construction of the antepartal portion of the Midwifery MDS. Donabedian's (1980) conceptual model for quality in health care guided the study.
Sigma Membership
Gamma Sigma
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Content Analysis
Research Approach
Other
Keywords:
Certified Nurse-Midwives, Midwifery, Antenatal Care, Minimum Data Sets
Advisor
Joyce Thompson
Second Advisor
Jacqueline Fawcett
Degree
PhD
Degree Grantor
University of Pennsylvania
Degree Year
2000
Recommended Citation
Levi, Amy J., "Development of antepartal data set elements for nurse-midwifery care" (2022). Dissertations. 1376.
https://www.sigmarepository.org/dissertations/1376
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2022-02-22
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 9965515; ProQuest document ID: 304639834. The author still retains copyright.