A dedicated paediatric logistic organ dysfunction score - adjusted pressure injury risk assessment scale is required for tertiary paediatric ICUs

Crane, Natalie; Pool, Natasha; Chang, Ivy; S, Rogan; Stöcker, Christian; Raman, Sainath

doi:10.1017/s1047951118002251

Cited by 3 publications

(5 citation statements)

References 6 publications

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“…We identified eight publications for predicting PIs, including one systematic review article 120 and seven empirical studies 121–127 . Shi et al 120 identified 22 prognostic models for predicting PI risk published between 1996 and 2017; half of these models were developed using prospective longitudinal data, and the other half used retrospective data.…”

Section: Resultsmentioning

confidence: 99%

“…The sample sizes ranged from 10 to 2062 patients [121][122][123][124][125][126] and 396 images of PI. 127 Various data science methods have been used to detect or predict PIs, including logistic regression, 121,122 nonlinear regression, 124 a univariate Cox regression, 125 and three data mining algorithms (decision trees, neural networks, and SVMs). 121 The significant predictive factors comprised PI history, 121 without cancer, 121 excretion, 121 activity/mobility, 121 skin condition/circulation, 121 estimated surgery time, 122 serum albumin level, 122,125 multiple ulcers, 125 and presence of a single caregiver.…”

Section: Discussionmentioning

confidence: 99%

“…The majority of the seven empirical studies published in 2019 were retrospective designs leveraging clinical data from hospitals, except for Duvall et al's 126 feasibility pilot study. The sample sizes ranged from 10 to 2062 patients [121][122][123][124][125][126] and 396 images of PI. 127 Various data science methods have been used to detect or predict PIs, including logistic regression, 121,122 nonlinear regression, 124 a univariate Cox regression, 125 and three data mining algorithms (decision trees, neural networks, and SVMs).…”

Section: Discussionmentioning

confidence: 99%

“…Crane et al 125 used nonlinear regression to explore predictors for identifying patients at high risk of PI and recommended the need for modification of the Glamorgan scoring system, and incorporation of the Pediatric Logistic Organ Dysfunction-2 score might improve the predictive value of a modified Glamorgan scoring system. Zhang, Yu, Shi, Shang, Hong, and Yu 126 used a univariate Cox regression analysis to find the prognostic factors for PI recurrence.…”

Section: Pressure Injuriesmentioning

confidence: 99%

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Data Science Methods for Nursing-Relevant Patient Outcomes and Clinical Processes

Schultz¹,

Walden²,

Cato³

et al. 2021

CIN: Computers, Informatics, Nursing

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Data science continues to be recognized and used within healthcare due to the increased availability of large data sets and advanced analytics. It can be challenging for nurse leaders to remain apprised of this rapidly changing landscape. In this paper, we describe our findings from a scoping literature review of papers published in 2019 that use data science to explore, explain, and/or predict 15 phenomena of interest to nurses. Fourteen of the 15 phenomena were associated with at least one paper published in 2019. We identified the use of many contemporary data science methods (e.g., natural language processing, neural networks) for many of the outcomes. We found many studies exploring Readmissions and Pressure Injuries. The topics of Artificial Intelligence/Machine Learning Acceptance, Burnout, Patient Safety, and Unit Culture were poorly represented. We hope the studies described in this paper help readers: (a) understand the breadth and depth of data science's ability to improve clinical processes and patient outcomes that are relevant to nurses and (b) identify gaps in the literature that are in need of exploration.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Pressure Injuriesmentioning

confidence: 99%

See 2 more Smart Citations

Data Science Methods for Nursing-Relevant Patient Outcomes and Clinical Processes

Schultz¹,

Walden²,

Cato³

et al. 2021

CIN: Computers, Informatics, Nursing

View full text Add to dashboard Cite

show abstract

“…Moreover, Crane et al, [33] added that critically ill children admitted to pediatric ICU are at high risk for developing pressure injuries and this risk increased without intervention.…”

Section: Discussionmentioning

confidence: 99%

Effect of Preventive Bundle Guidelines on Nurses’ Knowledge and Compliance Regarding Pressure Ulcer Among Critically Ill Children at Pediatric Intensive Care Unit

Mohamed¹,

Elaziz²,

Elaasar³

2019

AJNS

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Pressure ulcers are a common and highly relevant professional care issues in pediatric intensive care units. The aim of this study was to evaluate the effect of preventive bundle guidelines on nurses' knowledge and compliance regarding pressure ulcer among critically ill children at Pediatric intensive care unit. Research design: A quasi-experimental design was used. Settings: This study was conducted at the pediatric intensive care unit in Benha Specialized Pediatric Hospital. Sample: A Convenient sample of nurses (n=43) and purposive sample of critically ill children (n=70) were included from the above mentioned setting. Those children were divided equally into two groups (study and control). Tools of data collection: Three tools were used namely; a structured interviewing questionnaire format, pressure ulcer preventive bundle compliance checklist and Braden Q Risk Assessment Scale. Results: Most children in the study group were not at risk of pressure ulcer in the first and second week of admission as well as before discharge than children in the control group. Moreover, the results revealed that there was significant improvement in nurses' knowledge regarding pressure ulcer as well as their compliance with preventive bundle guideline after bundle implementation. Conclusion: The implementation of preventive bundle guidelines proved to be effective in improving nurses' knowledge and their compliance, with a positive impact on the incidence of pressure ulcer among critically ill children. Recommendation: Preventive bundle guidelines should be implemented in pediatric intensive care units to reduce the harm associated with hospital-acquired pressure ulcer.

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A clinimetric analysis of the Pressure Ulcer Risk Primary or Secondary Evaluation Tool: PURPOSE-T

Wynn

Holloway

2019

Br J Nurs

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The assessment of patients' risk for developing pressure ulcers is a routine and fundamental nursing process undertaken to prevent avoidable harm to patients in all care settings. Many risk assessment tools are currently used in clinical practice, however no individual tool is recommended by advisory bodies such as the National Institute for Health and Care Excellence or the European Pressure Ulcer Advisory Panel. The evidence base on the value of structured risk assessment tools in reducing the incidence or severity of pressure ulcers is poor. This purpose of this article is to provide a clinimetric analysis of the recently developed Pressure Ulcer Risk Primary or Secondary Evaluation Tool (PURPOSE-T) and identify areas for future research to improve the utility of structured risk assessment in identifying patients at risk of developing pressure ulcers.

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A dedicated paediatric logistic organ dysfunction score - adjusted pressure injury risk assessment scale is required for tertiary paediatric ICUs

Cited by 3 publications

References 6 publications

Data Science Methods for Nursing-Relevant Patient Outcomes and Clinical Processes

Data Science Methods for Nursing-Relevant Patient Outcomes and Clinical Processes

Effect of Preventive Bundle Guidelines on Nurses’ Knowledge and Compliance Regarding Pressure Ulcer Among Critically Ill Children at Pediatric Intensive Care Unit

A clinimetric analysis of the Pressure Ulcer Risk Primary or Secondary Evaluation Tool: PURPOSE-T

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