2.50
Hdl Handle:
http://hdl.handle.net/10755/161558
Type:
Presentation
Title:
Inmds: Development and Clinical Pilot Testing
Abstract:
Inmds: Development and Clinical Pilot Testing
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2002
Author:Delaney, Connie, PhD
P.I. Institution Name:University of Iowa
Title:Associate Professor
Contact Address:College of Nursing, 494 Nursing Building, Iowa City, IA, 52242, USA
Contact Telephone:319.335.7113
This is the second of four papers examining international initiatives and related methodological issues associated with health terminology and data standards. This paper focuses on the development and pilot testing of an international nursing minimum data set (iNMDS. Problem: Discipline-specific and interdisciplinary knowledge building and evidence-based best practices depend on data acquisition, storage, retrieval, and analysis. An essential problem in acquiring and analyzing these data is compatibility across boundaries, whether those boundaries are regional, national, or international. Purpose: The purpose of this paper is to 1) describe the methods used to identify an iNMDS, cosponsored by the International Medical Informatics Association (IMIA) Nursing Special Interest Group and the International Council for Nurses (ICN); 2) describe the international pilot study; 3) report findings of pilot testing to date; and 4) analyze issues related to establishing a reliable and valid iNMDS. An increasing number of countries have or are developing national nursing minimum data sets, including Australia, Belgium, Brazil, Canada, Denmark, Iceland, the Netherlands, Norway, Switzerland, Thailand, the United Kingdom, and the United States of America. Sample: International convenience sample of inpatient nursing units per volunteer institution within a convenience sample of countries with minimum data sets. Method: Data collection consists of patient problems, nursing interventions, and patient outcomes using various nursing vocabularies across health care facilities in multiple countries. Normalization of these data is discussed. Analysis includes frequencies and the Belgian methodology including ridit analysis and multidimensional scaling. Results: pending. Conclusions/Implications: Clear recognition of and commitment to the multidisciplinary nature of health care practices necessitates datasets that represent the breadth of factors influencing patient health and systems outcomes.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleInmds: Development and Clinical Pilot Testingen_GB
dc.identifier.urihttp://hdl.handle.net/10755/161558-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Inmds: Development and Clinical Pilot Testing</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2002</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Delaney, Connie, PhD</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Iowa</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Associate Professor</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">College of Nursing, 494 Nursing Building, Iowa City, IA, 52242, USA</td></tr><tr class="item-phone"><td class="label">Contact Telephone:</td><td class="value">319.335.7113</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">connie-delaney@uiowa.edu</td></tr><tr><td colspan="2" class="item-abstract">This is the second of four papers examining international initiatives and related methodological issues associated with health terminology and data standards. This paper focuses on the development and pilot testing of an international nursing minimum data set (iNMDS. Problem: Discipline-specific and interdisciplinary knowledge building and evidence-based best practices depend on data acquisition, storage, retrieval, and analysis. An essential problem in acquiring and analyzing these data is compatibility across boundaries, whether those boundaries are regional, national, or international. Purpose: The purpose of this paper is to 1) describe the methods used to identify an iNMDS, cosponsored by the International Medical Informatics Association (IMIA) Nursing Special Interest Group and the International Council for Nurses (ICN); 2) describe the international pilot study; 3) report findings of pilot testing to date; and 4) analyze issues related to establishing a reliable and valid iNMDS. An increasing number of countries have or are developing national nursing minimum data sets, including Australia, Belgium, Brazil, Canada, Denmark, Iceland, the Netherlands, Norway, Switzerland, Thailand, the United Kingdom, and the United States of America. Sample: International convenience sample of inpatient nursing units per volunteer institution within a convenience sample of countries with minimum data sets. Method: Data collection consists of patient problems, nursing interventions, and patient outcomes using various nursing vocabularies across health care facilities in multiple countries. Normalization of these data is discussed. Analysis includes frequencies and the Belgian methodology including ridit analysis and multidimensional scaling. Results: pending. Conclusions/Implications: Clear recognition of and commitment to the multidisciplinary nature of health care practices necessitates datasets that represent the breadth of factors influencing patient health and systems outcomes.</td></tr></table>en_GB
dc.date.available2011-10-26T23:23:20Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T23:23:20Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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