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Determining Optimal Cut-off Score for the Braden Scale on Assessment of Pressure Injury for Tertiary Hospital Inpatients

상급종합병원 입원환자의 욕창발생 위험예측을 위한 Braden Scale의 타당도 검증

  • Park, Sook Hyun (Department of Nursing Professional Development Team, Samsung Medical Center) ;
  • Choi, hyeyeon (Department of Surgery Intensive Care Unit, Samsung Medical Center) ;
  • Son, Youn-Jung (Department of Nursing, Chung-Ang University)
  • Received : 2023.08.30
  • Accepted : 2023.10.22
  • Published : 2023.10.31

Abstract

Purpose : This study aims to establish an optimal cut-off score on the Braden scale for the assessment of pressure injury to detect pressure injury risks among inpatients in a South Korean tertiary hospital. Methods : This retrospective study used electronic medical records, from January to December 2022. A total of 654 patients were included in the study. Of these, 218 inpatients with pressure injuries and 436 without pressure injuries were classified and analyzed using 1:2 Propensity Score Matching (PSM), and the generalized estimating equation was performed using SPSS Version 26 and the R Machlt package program. Results : The cut-off value on the Braden scale for distinguishing pressure injury was 17 points, and the AUC (area under the ROC curve) was 0.531 (0.484-0.579). The sensitivity was 56.6% (45.5-67.7%) and the specificity was 69.7% (66.0-73.4%). With 17 points, the Braden scale cut-off distinguished those who had pressure injuries from those who did not at the time of admission (p < .03). In the pressure injury group, the Braden score on the day of the pressure injury was 14, with significant results in all subcategories except the moisture category. Conclusion : Our findings revealed that a cut-off value of 17 was optimal for predicting the risk of pressure injuries among tertiary hospital inpatients. Future studies should evaluate the optimal cut-off values in different clinical environments. Additionally, it is necessary to conduct multicenter large sample studies to verify the effectiveness of a 17 value in PI risk assessments.

Keywords

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