2.50
Hdl Handle:
http://hdl.handle.net/10755/161497
Type:
Presentation
Title:
Rescuing the Oley Data: Future RN & MD Research
Abstract:
Rescuing the Oley Data: Future RN & MD Research
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2003
Author:Rindner, Ellen
Contact Address:SON, 4028 West 113th Street,, Lenexa,, KS, 66215, USA
Purpose: Many national databases are decaying due to their antiquated computer architecture. This results in loss of valuable study findings from these clinical data and makes data retrieval nearly impossible. This research illustrates the inherent challenges associated with converting data from a pre-existing national database from its MUMPs mainframe software program into usable, transferable data sets for personal computer (PC) desktop versions. Theoretical/conceptual framework: Nursing is increasingly using National Databases for secondary analysis (Shepard, Carroll, Mahon, Moriarity, Feetham, Deatrick, & Orsi, 1999). Inherent problems present themselves when dealing with these unwieldy datasets (Boyington & Tomlinson, 2000; Coenen, McNeil, Bickford, & Warren, 2001). Subjects: The Oley Foundation North American Home Parenteral and Enteral Nutrition Patient Registry began its annual longitudinal data collection in 1985, from (HPEN) patients on home parenteral nutrition / home enteral nutrition, their physicians, nurses, and homecare providers. A subsample of this national database consisted of 1,076(HPEN) patients; 3,636 MD’s; 120 RN Casemanagers; and 247 Home care providers. Methods: To “rescue” the data, the nomenclature and quality assurance processes for conversion from mainframe to SPSS (Statistical Package Software Service) were developed for a subset of the original data. Results: The benefits and difficulties of the converting mainframe non-relational data sets into relational databases are identified. Difficulties associated with cleaning large datasets, reliability checks, tracking patients, and maintaining patient, physician, and nurse casemanager confidentiality are addressed. Conclusions: Though time-consuming, the conversion process provides accurate, reliable databases, which can be preserved for future research. Nursing hypotheses related to this data (such as RN casemanager impact on patient outcomes) can be analyzed retrospectively or compared to prospective data. Implications for multidisciplinary research using the updated database are presented. This research adds to existing knowledge regarding problems with managing large datasets. AN: MN030042
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.titleRescuing the Oley Data: Future RN & MD Researchen_GB
dc.identifier.urihttp://hdl.handle.net/10755/161497-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Rescuing the Oley Data: Future RN &amp; MD Research</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">2003</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Rindner, Ellen</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">SON, 4028 West 113th Street,, Lenexa,, KS, 66215, USA</td></tr><tr><td colspan="2" class="item-abstract">Purpose: Many national databases are decaying due to their antiquated computer architecture. This results in loss of valuable study findings from these clinical data and makes data retrieval nearly impossible. This research illustrates the inherent challenges associated with converting data from a pre-existing national database from its MUMPs mainframe software program into usable, transferable data sets for personal computer (PC) desktop versions. Theoretical/conceptual framework: Nursing is increasingly using National Databases for secondary analysis (Shepard, Carroll, Mahon, Moriarity, Feetham, Deatrick, &amp; Orsi, 1999). Inherent problems present themselves when dealing with these unwieldy datasets (Boyington &amp; Tomlinson, 2000; Coenen, McNeil, Bickford, &amp; Warren, 2001). Subjects: The Oley Foundation North American Home Parenteral and Enteral Nutrition Patient Registry began its annual longitudinal data collection in 1985, from (HPEN) patients on home parenteral nutrition / home enteral nutrition, their physicians, nurses, and homecare providers. A subsample of this national database consisted of 1,076(HPEN) patients; 3,636 MD&rsquo;s; 120 RN Casemanagers; and 247 Home care providers. Methods: To &ldquo;rescue&rdquo; the data, the nomenclature and quality assurance processes for conversion from mainframe to SPSS (Statistical Package Software Service) were developed for a subset of the original data. Results: The benefits and difficulties of the converting mainframe non-relational data sets into relational databases are identified. Difficulties associated with cleaning large datasets, reliability checks, tracking patients, and maintaining patient, physician, and nurse casemanager confidentiality are addressed. Conclusions: Though time-consuming, the conversion process provides accurate, reliable databases, which can be preserved for future research. Nursing hypotheses related to this data (such as RN casemanager impact on patient outcomes) can be analyzed retrospectively or compared to prospective data. Implications for multidisciplinary research using the updated database are presented. This research adds to existing knowledge regarding problems with managing large datasets. AN: MN030042 </td></tr></table>en_GB
dc.date.available2011-10-26T23:22:19Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T23:22:19Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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