Pressure Ulcer Prevention: Evaluation of the Clinical Components of the Pressure Ulcer Daily Report

2.50
Hdl Handle:
http://hdl.handle.net/10755/158919
Type:
Presentation
Title:
Pressure Ulcer Prevention: Evaluation of the Clinical Components of the Pressure Ulcer Daily Report
Abstract:
Pressure Ulcer Prevention: Evaluation of the Clinical Components of the Pressure Ulcer Daily Report
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2010
Author:Talsma, AkkeNeel, PhD, RN
P.I. Institution Name:University of Michigan
Title:School of Nursing
Contact Address:400 North Ingalls, Rm. 4154, Ann Arbor, MI, 48109-5462, USA
Contact Telephone:734-763-5199
Co-Authors:A. Talsma, D.J. Tschannen, , University of Michigan, Ann Arbor, MI;
Purpose: Direct-care providers lack easy access to patient risk factors of acquiring a pressure ulcer (PU) as such information is typically scattered throughout the paper and electronic medical records (EMR). The purpose of this study was to validate the quality and completeness of data collected in the EMR pertaining to PU's and determine whether EMR data in the daily automated feedback report ("Daily") predict PU development. Conceptual Model: Roger's Adoption of Innovation Model provided the conceptual model. The innovation for adoption by nurses was the Daily (intervention) to prevent PU development. Subjects: Six units with EMR and active nursing care documentation from one academic medical center were included in the study. Cases with a minimum of 24 hr stay were included. Method: EMR exported data (N=6,113 cases) were aggregated and analyzed, including: patient characteristics; Braden scores: overall scores, subscale scores, and daily changes; PU's present, stage, and first date documented. Outlying values were reviewed and re-coding took place to group BMI ranges for analytical purposes, and text values were coded for analysis. Results: More males (59.4%) than females (40.6%) were included. PU rates (all cases with a documented PU Stage I - IV in EMR) were higher for females (12.9%) then males (12.1%). The highest PU rates were found for cases with BMI <18.5 (29.7%) and lowest rates (11.0%) were for cases with the highest BMI >30. Logistic regression analysis confirmed that items included in the Daily were highly predictive of PU's. Significant predictors were increased age, BMI, Braden total and sub-scale measures, and presence of a previous pressure ulcer. Conclusions: Items extracted from the EMR and included in the Daily are highly significant predictors of PU's and provide valuable information to monitor risk factors and contribute to the prevention of PU's on a daily basis. Note: This project received an Honorary Mention from the University of Michigan Business Intelligence Award (2009).
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.titlePressure Ulcer Prevention: Evaluation of the Clinical Components of the Pressure Ulcer Daily Reporten_GB
dc.identifier.urihttp://hdl.handle.net/10755/158919-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Pressure Ulcer Prevention: Evaluation of the Clinical Components of the Pressure Ulcer Daily Report</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">2010</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Talsma, AkkeNeel, PhD, RN</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Michigan</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">School of Nursing</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">400 North Ingalls, Rm. 4154, Ann Arbor, MI, 48109-5462, USA</td></tr><tr class="item-phone"><td class="label">Contact Telephone:</td><td class="value">734-763-5199</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">antalsma@umich.edu</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">A. Talsma, D.J. Tschannen, , University of Michigan, Ann Arbor, MI;</td></tr><tr><td colspan="2" class="item-abstract">Purpose: Direct-care providers lack easy access to patient risk factors of acquiring a pressure ulcer (PU) as such information is typically scattered throughout the paper and electronic medical records (EMR). The purpose of this study was to validate the quality and completeness of data collected in the EMR pertaining to PU's and determine whether EMR data in the daily automated feedback report (&quot;Daily&quot;) predict PU development. Conceptual Model: Roger's Adoption of Innovation Model provided the conceptual model. The innovation for adoption by nurses was the Daily (intervention) to prevent PU development. Subjects: Six units with EMR and active nursing care documentation from one academic medical center were included in the study. Cases with a minimum of 24 hr stay were included. Method: EMR exported data (N=6,113 cases) were aggregated and analyzed, including: patient characteristics; Braden scores: overall scores, subscale scores, and daily changes; PU's present, stage, and first date documented. Outlying values were reviewed and re-coding took place to group BMI ranges for analytical purposes, and text values were coded for analysis. Results: More males (59.4%) than females (40.6%) were included. PU rates (all cases with a documented PU Stage I - IV in EMR) were higher for females (12.9%) then males (12.1%). The highest PU rates were found for cases with BMI &lt;18.5 (29.7%) and lowest rates (11.0%) were for cases with the highest BMI &gt;30. Logistic regression analysis confirmed that items included in the Daily were highly predictive of PU's. Significant predictors were increased age, BMI, Braden total and sub-scale measures, and presence of a previous pressure ulcer. Conclusions: Items extracted from the EMR and included in the Daily are highly significant predictors of PU's and provide valuable information to monitor risk factors and contribute to the prevention of PU's on a daily basis. Note: This project received an Honorary Mention from the University of Michigan Business Intelligence Award (2009).</td></tr></table>en_GB
dc.date.available2011-10-26T21:31:31Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T21:31:31Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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