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Receiver Operating Characteristic Plot01:15

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A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
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Assessing the Alignment Between the Humpty Dumpty Fall Scale and Fall Risk Nursing Diagnosis in Pediatric Patients: A

Manuele Cesare1, Fabio D'Agostino2, Deborah Hill-Rodriguez3

  • 1A. Gemelli IRCCS University Hospital Foundation, Section of Hygiene, Department of Health Science and Public Health, Catholic University of the Sacred Heart, 00168 Rome, Italy.

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Summary
This summary is machine-generated.

The Humpty Dumpty Fall Scale (HDFS) has limited ability to identify pediatric patients at fall risk, as determined by nursing diagnoses. Integrating HDFS with clinical reasoning enhances fall prevention strategies for pediatric patients.

Keywords:
Humpty Dumpty Fall ScaleROC curveaccidental fallsnursing diagnosisrisk assessmentstandardized nursing terminology

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Area of Science:

  • Pediatric Nursing
  • Patient Safety
  • Clinical Assessment Tools

Background:

  • Falls in hospitalized children are common, leading to complications and increased costs.
  • Nurses use tools like the Humpty Dumpty Fall Scale (HDFS) and clinical reasoning (Fall risk ND) to assess fall risk.
  • The alignment between HDFS and nursing clinical reasoning for fall risk assessment is not well understood.

Purpose of the Study:

  • To evaluate the agreement between the HDFS and Fall risk ND in identifying fall risk in hospitalized pediatric patients.
  • To determine the discriminative performance of the HDFS compared to nursing clinical reasoning.

Main Methods:

  • Retrospective observational study of pediatric inpatients in an Italian tertiary hospital (2022).
  • Fall risk assessed within 24 hours using HDFS (score ≥ 12) and Fall risk ND (nursing clinical reasoning via PAIped system).
  • Receiver operating characteristic (ROC) curve analysis, including AUC, sensitivity, specificity, PPV, and NPV, was performed.

Main Results:

  • 80.9% of inpatients had a Fall risk ND; 52.7% were classified as high risk by HDFS.
  • HDFS demonstrated low discriminative ability for Fall risk ND (AUC = 0.568).
  • HDFS had high PPV (85.1%) but low NPV (20.1%), indicating overlap and discrepancies with nursing diagnoses.

Conclusions:

  • The HDFS has limited ability to discriminate pediatric patients identified as fall risk by nursing clinical reasoning.
  • Standardized tools and clinical reasoning capture different, yet potentially complementary, aspects of fall risk.
  • Integrating HDFS within a structured nursing diagnostic process, supported by education, can improve pediatric fall prevention.