Literature DB >> 16456213

Prediction of pressure ulcer development in hospitalized patients: a tool for risk assessment.

L Schoonhoven1, D E Grobbee, A R T Donders, A Algra, M H Grypdonck, M T Bousema, A J P Schrijvers, E Buskens.   

Abstract

OBJECTIVES: To identify independent predictors for development of pressure ulcers in hospitalized patients and to develop a simple prediction rule for pressure ulcer development.
DESIGN: The Prevention and Pressure Ulcer Risk Score Evaluation (prePURSE) study is a prospective cohort study in which patients are followed up once a week until pressure ulcer occurrence, discharge from hospital, or length of stay over 12 weeks. Data were collected between January 1999 and June 2000.
SETTING: Two large hospitals in the Netherlands. PARTICIPANTS: Adult patients admitted to the surgical, internal, neurological and geriatric wards for more than 5 days were eligible. A consecutive sample of 1536 patients was visited, 1431 (93%) of whom agreed to participate. Complete follow up data were available for 1229 (80%) patients. MAIN OUTCOME MEASURES: Occurrence of a pressure ulcer grade 2 or worse during admission to hospital.
RESULTS: Independent predictors of pressure ulcers were age, weight at admission, abnormal appearance of the skin, friction and shear, and planned surgery in coming week. The area under the curve of the final prediction rule was 0.70 after bootstrapping. At a cut off score of 20, 42% of the patient weeks were identified as at risk for pressure ulcer development, thus correctly identifying 70% of the patient weeks in which a pressure ulcer occurred.
CONCLUSION: A simple clinical prediction rule based on five patient characteristics may help to identify patients at increased risk for pressure ulcer development and in need of preventive measures.

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Mesh:

Year:  2006        PMID: 16456213      PMCID: PMC2563999          DOI: 10.1136/qshc.2005.015362

Source DB:  PubMed          Journal:  Qual Saf Health Care        ISSN: 1475-3898


  16 in total

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Journal:  J Adv Nurs       Date:  2006-04       Impact factor: 3.187

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  15 in total

1.  Characteristics of hospitalised US veterans with nosocomial pressure ulcers.

Authors:  Teresa Tarnowski Goodell; Zoe Moskovitz
Journal:  Int Wound J       Date:  2012-03-16       Impact factor: 3.315

2.  Predicting complex acute wound healing in patients from a wound expertise centre registry: a prognostic study.

Authors:  Dirk T Ubbink; Robert Lindeboom; Anne M Eskes; Huub Brull; Dink A Legemate; Hester Vermeulen
Journal:  Int Wound J       Date:  2013-09-06       Impact factor: 3.315

3.  Data mining techniques for assisting the diagnosis of pressure ulcer development in surgical patients.

Authors:  Chao-Ton Su; Pa-Chun Wang; Yan-Cheng Chen; Li-Fei Chen
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4.  A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision.

Authors:  Travis R Goodwin; Dina Demner-Fushman
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Review 5.  A prediction tool for hospital-acquired pressure ulcers among surgical patients: Surgical pressure ulcer risk score.

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Journal:  Int Wound J       Date:  2018-10-05       Impact factor: 3.315

6.  Systematic comprehensive geriatric assessment in elderly patients on chronic dialysis: a cross-sectional comparative and feasibility study.

Authors:  Juliette L Parlevliet; Bianca M Buurman; Marja M Hodac Pannekeet; Els M Boeschoten; Lucia ten Brinke; Marije E Hamaker; Barbara C van Munster; Sophia E de Rooij
Journal:  BMC Nephrol       Date:  2012-05-30       Impact factor: 2.388

7.  Validation of a new predictive risk model: measuring the impact of the major modifiable risks of death for patients and populations.

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8.  The design of the SAFE or SORRY? study: a cluster randomised trial on the development and testing of an evidence based inpatient safety program for the prevention of adverse events.

Authors:  Betsie G I van Gaal; Lisette Schoonhoven; Marlies E J L Hulscher; Joke A J Mintjes; George F Borm; Raymond T C M Koopmans; Theo van Achterberg
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Authors:  Mohit Arora; Lisa A Harvey; Joanne V Glinsky; Lianne Nier; Lucija Lavrencic; Annette Kifley; Ian D Cameron
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