Literature DB >> 22948495

Predictive power of the Braden scale for pressure sore risk in adult critical care patients: a comprehensive review.

Jill Cox1.   

Abstract

Critical care is designed for managing the sickest patients within our healthcare system. Multiple factors associated with an increased likelihood of pressure ulcer development have been investigated in the critical care population. Nevertheless, there is a lack of consensus regarding which of these factors poses the greatest risk for pressure ulceration. While the Braden scale for pressure sore risk is the most commonly used tool for measuring pressure ulcer risk in the United States, research focusing on the cumulative Braden Scale score and subscale scores is lacking in the critical care population. This author conducted a literature review on pressure ulcer risk assessment in the critical care population, to include the predictive value of both the total score and the subscale scores. In this review, the subscales sensory perception, mobility, moisture, and friction/shear were found to be associated with an increased likelihood of pressure ulcer development; in contrast, the Activity and Nutrition subscales were not found to predict pressure ulcer development in this population. In order to more precisely quantify risk in the critically ill population, modification of the Braden scale or development of a critical care specific risk assessment tool may be indicated.

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Mesh:

Year:  2012        PMID: 22948495     DOI: 10.1097/WON.0b013e31826a4d83

Source DB:  PubMed          Journal:  J Wound Ostomy Continence Nurs        ISSN: 1071-5754            Impact factor:   1.741


  16 in total

1.  Body mass index and pressure ulcers: improved predictability of pressure ulcers in intensive care patients.

Authors:  Sookyung Hyun; Xiaobai Li; Brenda Vermillion; Cheryl Newton; Monica Fall; Pacharmon Kaewprag; Susan Moffatt-Bruce; Elizabeth R Lenz
Journal:  Am J Crit Care       Date:  2014-11       Impact factor: 2.228

2.  Patient-specific factors associated with pressure injuries revealed by electronic health record analyses.

Authors:  Megan W Miller; Rebecca T Emeny; Jennifer A Snide; Gary L Freed
Journal:  Health Informatics J       Date:  2019-03-18       Impact factor: 2.681

3.  Using the Braden subscales to assess risk of pressure injuries in adult patients: A retrospective case-control study.

Authors:  Ellene Lim; Zubaidah Mordiffi; Han S J Chew; Violeta Lopez
Journal:  Int Wound J       Date:  2019-02-07       Impact factor: 3.315

4.  Backrest Elevation and Tissue Interface Pressure by Anatomical Location During Mechanical Ventilation.

Authors:  Mary Jo Grap; Cindy L Munro; Paul A Wetzel; Christine M Schubert; Anathea Pepperl; Ruth S Burk; Valentina Lucas
Journal:  Am J Crit Care       Date:  2016-05       Impact factor: 2.228

5.  Enhancement of decision rules to increase generalizability and performance of the rule-based system assessing risk for pressure ulcer.

Authors:  J Choi; H Kim
Journal:  Appl Clin Inform       Date:  2013-06-05       Impact factor: 2.342

6.  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

7.  Predicting Pressure Injury in Critical Care Patients: A Machine-Learning Model.

Authors:  Jenny Alderden; Ginette Alyce Pepper; Andrew Wilson; Joanne D Whitney; Stephanie Richardson; Ryan Butcher; Yeonjung Jo; Mollie Rebecca Cummins
Journal:  Am J Crit Care       Date:  2018-11       Impact factor: 2.228

8.  Outcomes Associated With Stage 1 Pressure Injuries: A Retrospective Cohort Study.

Authors:  Jenny Alderden; Yunchuan Lucy Zhao; Yingying Zhang; Donna Thomas; Ryan Butcher; Yue Zhang; Mollie Rebecca Cummins
Journal:  Am J Crit Care       Date:  2018-11       Impact factor: 2.228

9.  Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort model.

Authors:  William V Padula; Robert D Gibbons; Peter J Pronovost; Donald Hedeker; Manish K Mishra; Mary Beth F Makic; John Fp Bridges; Heidi L Wald; Robert J Valuck; Adam J Ginensky; Anthony Ursitti; Laura Ruth Venable; Ziv Epstein; David O Meltzer
Journal:  J Am Med Inform Assoc       Date:  2017-04-01       Impact factor: 4.497

10.  Incidence and predicted risk factors of pressure ulcers in surgical patients: experience at a medical center in Taipei, Taiwan.

Authors:  Ling Fu Shaw; Pao-Chu Chang; Jung-Fen Lee; Huei-Yu Kung; Tao-Hsin Tung
Journal:  Biomed Res Int       Date:  2014-06-26       Impact factor: 3.411

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