The development of a classification system for maternity models of care

Donnolley, N; Butler-Henderson, K; Chapman, M; Sullivan, E

The development of a classification system for maternity models of care

Donnolley, N Butler-Henderson, K Chapman, M Sullivan, E

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Publication Type:: Journal Article
Citation:: Health Information Management Journal, 2016, 45 (2), pp. 64 - 70
Issue Date:: 2016-08-01

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Field	Value	Language
dc.contributor.author	Donnolley, N	en_US
dc.contributor.author	Butler-Henderson, K	en_US
dc.contributor.author	Chapman, M	en_US
dc.contributor.author	Sullivan, E https://orcid.org/0000-0002-8718-2753	en_US
dc.date.available	2015-09-26	en_US
dc.date.issued	2016-08-01	en_US
dc.identifier.citation	Health Information Management Journal, 2016, 45 (2), pp. 64 - 70	en_US
dc.identifier.issn	1833-3583	en_US
dc.identifier.uri	http://hdl.handle.net/10453/98430
dc.description.abstract	© The Author(s) 2016. Background: A lack of standard terminology or means to identify and define models of maternity care in Australia has prevented accurate evaluations of outcomes for mothers and babies in different models of maternity care. Objective: As part of the Commonwealth-funded National Maternity Data Development Project, a classification system was developed utilising a data set specification that defines characteristics of models of maternity care. Method: The Maternity Care Classification System or MaCCS was developed using a participatory action research design that built upon the published and grey literature. Results: The study identified the characteristics that differentiate models of care and classifies models into eleven different Major Model Categories. Conclusion: The MaCCS will enable individual health services, local health districts (networks), jurisdictional and national health authorities to make better informed decisions for planning, policy development and delivery of maternity services in Australia.	en_US
dc.relation.ispartof	Health Information Management Journal	en_US
dc.relation.isbasedon	10.1177/1833358316639454	en_US
dc.subject.mesh	Perinatal Care	en_US
dc.subject.mesh	Pilot Projects	en_US
dc.subject.mesh	Maternal-Child Nursing	en_US
dc.subject.mesh	Australia	en_US
dc.subject.mesh	Patient Care Bundles	en_US
dc.subject.mesh	Program Development	en_US
dc.subject.mesh	Terminology as Topic	en_US
dc.title	The development of a classification system for maternity models of care	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	45	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	1117 Public Health and Health Services	en_US
utslib.for	0807 Library and Information Studies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Public Health
utslib.copyright.status	open_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	45	en_US

Abstract:

© The Author(s) 2016. Background: A lack of standard terminology or means to identify and define models of maternity care in Australia has prevented accurate evaluations of outcomes for mothers and babies in different models of maternity care. Objective: As part of the Commonwealth-funded National Maternity Data Development Project, a classification system was developed utilising a data set specification that defines characteristics of models of maternity care. Method: The Maternity Care Classification System or MaCCS was developed using a participatory action research design that built upon the published and grey literature. Results: The study identified the characteristics that differentiate models of care and classifies models into eleven different Major Model Categories. Conclusion: The MaCCS will enable individual health services, local health districts (networks), jurisdictional and national health authorities to make better informed decisions for planning, policy development and delivery of maternity services in Australia.

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http://hdl.handle.net/10453/98430