Literature DB >> 30880544

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

Megan W Miller1, Rebecca T Emeny1, Jennifer A Snide1, Gary L Freed1.   

Abstract

Hospital-acquired pressure injuries (HAPIs) are a major source of unintended patient harm and unnecessary costs. The Braden Scale is widely used for risk assessment, yet it lacks specificity and clinical applications. This study used the electronic health record to examine associations between patient-specific factors and pressure injury. Adult patients (age >18) with 3-day length of stay from April 2011 to December 2016 were included. Pressure injuries were identified by ICD-9/ICD-10 codes. Longitudinal multivariate logistic regression was used to evaluate the association between patient-specific factors and HAPIs. This included 57,227 hospital encounters and 241 HAPIs. We observed 2-3 times increased likelihood of acquiring a pressure injury among patients who were malnourished or who had increased intraoperative time. The Braden subscales of nutrition, mobility, and friction showed significant predictive value. Future work is needed to assess the clinical applicability of this work.

Entities:  

Keywords:  clinical decision-making; data mining; electronic health records; evidence-based practice; machine learning

Mesh:

Year:  2019        PMID: 30880544      PMCID: PMC6751028          DOI: 10.1177/1460458219832053

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  19 in total

Review 1.  Risk assessment scales for pressure ulcers: a methodological review.

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Journal:  Int J Nurs Stud       Date:  2006-12-04       Impact factor: 5.837

2.  Reduction of Hospital-acquired Pressure Injuries Using a Multidisciplinary Team Approach: A Descriptive Study.

Authors:  Megan W Miller; Rebecca T Emeny; Gary L Freed
Journal:  Wounds       Date:  2019-02-14       Impact factor: 1.546

3.  Predictors of pressure ulcers in adult critical care patients.

Authors:  Jill Cox
Journal:  Am J Crit Care       Date:  2011-09       Impact factor: 2.228

4.  Pressure Ulcers Prevalence in the Acute Care Setting: A Systematic Review, 2000-2015.

Authors:  Ahmad Tubaishat; Panos Papanikolaou; Denis Anthony; Laila Habiballah
Journal:  Clin Nurs Res       Date:  2017-04-27       Impact factor: 2.075

5.  Pressure injury prevalence in intensive care versus non-intensive care patients: A state-wide comparison.

Authors:  Fiona Coyer; Sandra Miles; Sandra Gosley; Paul Fulbrook; Kirstine Sketcher-Baker; Jane-Louise Cook; Jacqueline Whitmore
Journal:  Aust Crit Care       Date:  2017-01-04       Impact factor: 2.737

6.  Building information for systematic improvement of the prevention of hospital-acquired pressure ulcers with statistical process control charts and regression.

Authors:  William V Padula; Manish K Mishra; Christopher D Weaver; Taygan Yilmaz; Mark E Splaine
Journal:  BMJ Qual Saf       Date:  2012-03-23       Impact factor: 7.035

7.  How Accurate is the AHRQ Patient Safety Indicator for Hospital-Acquired Pressure Ulcer in a National Sample of Records?

Authors:  Patricia A Zrelak; Garth H Utter; Daniel J Tancredi; Lindsay Grogean Mayer; Julie Cerese; Joanne Cuny; Patrick S Romano
Journal:  J Healthc Qual       Date:  2015 Sep-Oct       Impact factor: 1.095

8.  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

9.  Predictors of superficial and severe hospital-acquired pressure injuries: A cross-sectional study using the International Pressure Ulcer Prevalence™ survey.

Authors:  Susan A Kayser; Catherine A VanGilder; Charlie Lachenbruch
Journal:  Int J Nurs Stud       Date:  2018-09-08       Impact factor: 5.837

10.  Prevalence and risk of pressure ulcers in acute care following implementation of practice guidelines: annual pressure ulcer prevalence census 1994-2008.

Authors:  Elizabeth G VanDenKerkhof; Elaine Friedberg; Margaret B Harrison
Journal:  J Healthc Qual       Date:  2011-09       Impact factor: 1.095

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  2 in total

1.  Machine Learning Approaches for Hospital Acquired Pressure Injuries: A Retrospective Study of Electronic Medical Records.

Authors:  Joshua J Levy; Jorge F Lima; Megan W Miller; Gary L Freed; A James O'Malley; Rebecca T Emeny
Journal:  Front Med Technol       Date:  2022-06-16

Review 2.  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

  2 in total

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