| Literature DB >> 24523990 |
Eunkyung Kim1, Mona Choi2, Juhee Lee2, Young Ah Kim3.
Abstract
OBJECTIVES: The purposes of this study were to examine the predictive validity of the Cubbin and Jackson pressure ulcer risk assessment scale for the development of pressure ulcers in intensive care unit (ICU) patients retrospectively and to evaluate the reusability of Electronic Medical Records (EMR) data.Entities:
Keywords: Electronic Health Records; Intensive Care Units; Nursing Assessment; Pressure Ulcer; Risk Assessment
Year: 2013 PMID: 24523990 PMCID: PMC3920038 DOI: 10.4258/hir.2013.19.4.261
Source DB: PubMed Journal: Healthc Inform Res ISSN: 2093-3681
Operational definitions of Cubbin and Jackson scale for this study
ICU: intensive care unit, BMI: body mass index, MBP: mean blood pressure, CPAP: continuous positive airway pressure, TPN: total parenteral nutrition.
aAs most patients have Foley catheters in ICU, it is considered that there is practically no urinary incontinence.
Subjects' characteristics and pressure ulcer development (n = 829)
SD: standard deviation, BMI: body mass index, ICU: intensive care unit.
Differences of subjects' characteristics by pressure ulcer development (n = 829)
Values are presented as number (%).
BMI: body mass index, ICU: intensive care unit, MBP: mean blood pressure.
Differences in item scores of Cubbin and Jackson scale by pressure ulcer development (n = 829)
Values are presented as Mean ± standard deviation.
Figure 1The receiver operating characteristics curve of Cubbin and Jackson scale and Braden scale. The area under the curve (AUC) showed 0.763 for Cubbin and Jackson scale, and 0.711 for Braden scale.
Matches of Electronic Medical Record data with Cubbin and Jackson scale
aOne-to-one match with a certain item of a structured input screen. bNo match with an item of a structured input screen but match with nursing statements. cNo match with an item of a structured input screen, but it is possible to logically extract information from more than two data items and/or standardized statements. dNo match with data from either a structured screen or nursing statements that is difficult to presume any information when combining those.