Literature DB >> 15314444

[A comparative study on the predictive validity among pressure ulcer risk assessment scales].

Young-Hee Lee1, Ihn-Sook Jeong, Seong-Sook Jeon.   

Abstract

PURPOSE: This study was to compare the predictive validity of Norton Scale(1962), Cubbin & Jackson Scale(1991), and Song & Choi Scale(1991).
METHOD: Data were collected three times per week from 48-72 hours after admission based on the four pressure sore risk assessment scales and a skin assessment tool for pressure sore on 112 intensive care unit(ICU) patients in a educational hospital Ulsan during Dec, 11, 2000 to Feb, 10, 2001. Four indices of validity and area under the curve(AUC) of receiver operating characteristic(ROC) were calculated. RESULT: Based on the cut off point presented by the developer, sensitivity, specificity, positive predictive value, negative predictive value were as follows : Norton Scale : 97%, 18%, 35%, 93% respectively; Cubbin & Jackson Scale : 89%, 61%, 51%, 92%, respectively; and Song & Choi Scale : 100%, 18%, 36%, 100% respectively. Area under the curves(AUC) of receiver operating characteristic(ROC) were Norton Scale.737, Cubbin & Jackson Scale.826, Song & Choi Scale.683.
CONCLUSION: The Cubbin & Jackson Scale was found to be the most valid pressure sore risk assessment tool. Further studies on patients with chronic conditions may be helpful to validate this finding.

Entities:  

Year:  2003        PMID: 15314444     DOI: 10.4040/jkan.2003.33.2.162

Source DB:  PubMed          Journal:  Taehan Kanho Hakhoe Chi        ISSN: 1598-2874


  3 in total

1.  Midrange Braden Subscale Scores Are Associated With Increased Risk for Pressure Injury Development Among Critical Care Patients.

Authors:  Jenny Alderden; Mollie Rebecca Cummins; Ginette Alyce Pepper; JoAnne D Whitney; Yingying Zhang; Ryan Butcher; Donna Thomas
Journal:  J Wound Ostomy Continence Nurs       Date:  2017 Sep/Oct       Impact factor: 1.741

Review 2.  Assessing Predictive Validity of Pressure Ulcer Risk Scales- A Systematic Review and Meta-Analysis.

Authors:  Seong-Hi Park; Hea Shoon Lee
Journal:  Iran J Public Health       Date:  2016-02       Impact factor: 1.429

3.  Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership's Common Data Model: Pilot Feasibility Study.

Authors:  Hyesil Jung; Sooyoung Yoo; Seok Kim; Eunjeong Heo; Borham Kim; Ho-Young Lee; Hee Hwang
Journal:  JMIR Med Inform       Date:  2022-03-11
  3 in total

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