Literature DB >> 22552104

All at-risk patients are not created equal: analysis of Braden pressure ulcer risk scores to identify specific risks.

Ann N Tescher1, Megan E Branda, T J O Byrne, James M Naessens.   

Abstract

PURPOSE: To improve identification of risk factors for pressure ulcer development and enhance targeted interventions and prevention strategies. SUBJECTS AND
SETTING: The records of 12,566 adult patients hospitalized in intensive or progressive care units within Mayo Clinic were analyzed. Inclusion criteria were Braden Scale of 18 or less during the hospitalization; exclusion criteria were preexisting pressure ulcer or length of stay less than 24 hours.
METHODS: This study is a retrospective cohort analysis of electronic medical record data from January 1, 2007, to December 31, 2007. Only iatrogenic stage 2 to 4 pressure ulcers were considered as incident events. Demographic and clinical data were extracted from the medical record, including total Braden Scale score and Braden subscale scores at hospital admission, length of stay, admission to the intensive care unit at the time of hospitalization, and presence of acute respiratory failure, acute renal failure, or diabetes. Time to event was calculated based on time from admission to pressure ulcer occurrence or to hospital discharge.
RESULTS: Four hundred sixteen (3.3%) of patients developed a pressure ulcer during their hospitalizations. The Braden Scale score total by itself was found to be highly predictive of pressure ulcer development (P ≤ .0001, C = 0.71), as were all individual subscores. The friction/shear subscale had the greatest predictive power among Braden Scale scores (subscores and total score) (C = 0.83). The multivariate model after selection included 5 Braden Scale subscales, surgery, and acute respiratory failure (C = 0.91).
CONCLUSIONS: The total Braden Scale score is predictive of pressure ulcer development but does not assist the clinician to develop an individualized targeted prevention plan. In contrast, the use of subscale scores can enhance prevention programs and resource utilization by focusing care on the risk factors specific to the individual patient.

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Mesh:

Year:  2012        PMID: 22552104     DOI: 10.1097/WON.0b013e3182435715

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


  10 in total

1.  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

Review 2.  Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.

Authors:  Benjamin A Goldstein; Ann Marie Navar; Michael J Pencina; John P A Ioannidis
Journal:  J Am Med Inform Assoc       Date:  2016-05-17       Impact factor: 4.497

3.  Incidence of hospital-acquired pressure ulcers - a population-based cohort study.

Authors:  Joseph C Gardiner; Philip L Reed; Joseph D Bonner; Diana K Haggerty; Daniel G Hale
Journal:  Int Wound J       Date:  2014-12-03       Impact factor: 3.315

4.  Identifying the right surface for the right patient at the right time: generation and content validation of an algorithm for support surface selection.

Authors:  Laurie McNichol; Carolyn Watts; Dianne Mackey; Janice M Beitz; Mikel Gray
Journal:  J Wound Ostomy Continence Nurs       Date:  2015 Jan-Feb       Impact factor: 1.741

5.  Individualized Clinical Practice Guidelines for Pressure Injury Management: Development of an Integrated Multi-Modal Biomedical Information Resource.

Authors:  Kath M Bogie; Guo-Qiang Zhang; Steven K Roggenkamp; Ningzhou Zeng; Jacinta Seton; Shiqiang Tao; Arielle L Bloostein; Jiayang Sun
Journal:  JMIR Res Protoc       Date:  2018-09-06

6.  Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data.

Authors:  Insook Cho; Eun-Hee Boo; Eunja Chung; David W Bates; Patricia Dykes
Journal:  J Med Internet Res       Date:  2019-02-19       Impact factor: 5.428

7.  Value of hospital resources for effective pressure injury prevention: a cost-effectiveness analysis.

Authors:  William V Padula; Peter J Pronovost; Mary Beth F Makic; Heidi L Wald; Dane Moran; Manish K Mishra; David O Meltzer
Journal:  BMJ Qual Saf       Date:  2018-08-10       Impact factor: 7.035

8.  Characteristics of Hospital Acquired Pressure Ulcer and Factors Affecting Its Development: A Retrospective Study.

Authors:  Hatan Mortada; Nader Malatani; Basim A Awan; Hattan Aljaaly
Journal:  Cureus       Date:  2020-12-09

9.  Outpatient healthcare settings and transmission of Clostridium difficile.

Authors:  Lucy A Jury; Brett Sitzlar; Sirisha Kundrapu; Jennifer L Cadnum; Kim M Summers; Christine P Muganda; Abhishek Deshpande; Ajay K Sethi; Curtis J Donskey
Journal:  PLoS One       Date:  2013-07-24       Impact factor: 3.240

Review 10.  Risk Factors for Pressure Injuries in Adult Patients: A Narrative Synthesis.

Authors:  Man-Long Chung; Manuel Widdel; Julian Kirchhoff; Julia Sellin; Mohieddine Jelali; Franziska Geiser; Martin Mücke; Rupert Conrad
Journal:  Int J Environ Res Public Health       Date:  2022-01-11       Impact factor: 3.390

  10 in total

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