Development and Evaluation of Electronic Health Record Data-Driven Predictive Models for Pressure Ulcers.
Purpose: The purpose of this study was to develop predictive models for pressure ulcer incidence using electronic health record (EHR) data and to compare their predictive validity performance indicators with that of the Braden Scale used in the study hospital. Methods: A retrospective case-control s...
| Publicado en: | Journal of Korean Academy of Nursing Vol. 49; no. 5; pp. 575 - 586 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Korean Society of Nursing Science
Oct2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=139481564&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 139481564 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 20053673 ATS7 jtl: Journal of Korean Academy of Nursing issn: 20053673 maglogo: N pubinfo: dt: Oct2019 vid: 49 iid: 5 pid: 42744 pub: Korean Society of Nursing Science place: , <Blank> artinfo: ui: 139481564 139481564 139481564 10.4040/jkan.2019.49.5.575 139481564 ppf: 575 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Development and Evaluation of Electronic Health Record Data-Driven Predictive Models for Pressure Ulcers. aug: au: Park Seul Ki Park Hyeoun-Ae Hwang Hee affil: College of Nursing, Research Institute of Nursing Science, Seoul National University, Seoul sug: subj: Pressure Ulcer Epidemiology Pressure Ulcer Risk Factors Risk Assessment Electronic Health Records Models, Theoretical Academic Medical Centers South Korea Instrument Validation Scales Human Descriptive Statistics Retrospective Design Case Control Studies Predictive Validity Braden Scale for Predicting Pressure Sore Risk Reliability and Validity Tertiary Health Care South Korea Logistic Regression Cox Proportional Hazards Model Decision Trees ROC Curve Endotracheal Tubes Data Mining ab: Purpose: The purpose of this study was to develop predictive models for pressure ulcer incidence using electronic health record (EHR) data and to compare their predictive validity performance indicators with that of the Braden Scale used in the study hospital. Methods: A retrospective case-control study was conducted in a tertiary teaching hospital in Korea. Data of 202 pressure ulcer patients and 14,705 non-pressure ulcer patients admitted between January 2015 and May 2016 were extracted from the EHRs. Three predictive models for pressure ulcer incidence were developed using logistic regression, Cox proportional hazards regression, and decision tree modeling. The predictive validity performance indicators of the three models were compared with those of the Braden Scale. Results: The logistic regression model was most efficient with a high area under the receiver operating characteristics curve (AUC) estimate of 0.97, followed by the decision tree model (AUC 0.95), Cox proportional hazards regression model (AUC 0.95), and the Braden Scale (AUC 0.82). Decreased mobility was the most significant factor in the logistic regression and Cox proportional hazards models, and the endotracheal tube was the most important factor in the decision tree model. Conclusion: Predictive validity performance indicators of the Braden Scale were lower than those of the logistic regression, Cox proportional hazards regression, and decision tree models. The models developed in this study can be used to develop a clinical decision support system that automatically assesses risk for pressure ulcers to aid nurses. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: Korean refInfo: holdings: @attributes: islocal: N |
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