Fall Prevention
Conditions
Brief summary
Fall prevention is an essential element in ensuring safe care for paediatric patients. The first step in building a risk reduction programme is the adoption of an assessment tool to identify those most at risk at an early stage. From October 2014 to date, a study has been conducted for the linguistic-cultural validation of the Humpty Dumpty Fall Scale (HDFS) in the Italian context, through a multicentre survey with the help of the Clinical Risk Management Group of the Region of Tuscany. The objective of this study is the validation of the new Humpty Dumpty Fall Scale defined as Speedy Meyer-Fall Scale (SMFS) by assessing the comprehension and validity of the scale and items via Content Validity Index (SCVI and ICVI) estimation of inter-item reliability (Crombach's alpha), inter-rater reliability (Cohen's K), sensitivity, specificity, PPV, NPV and ROC curve.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* children admitted as in-patients for whom the parents have given consent to the study, aged between 12 months and 16 years, of any gender, pathology and reason for admission.
Exclusion criteria
* not signed consent form
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| validation of the SMFS t | through study completion, an average of 1 year | validation of the SMFS through the assessment of the comprehensibility of the SMFS, the validity of the SMFS through Content Validity Index at item (ICVI) and scale (SCVI) level, and the reliability of the SMFS through inter-item reliability (Cronbach's alpha) and Inter-rater Reliability (Cohen's K) |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| identification of patients high risk of falls | through study completion, an average of 1 year | estimation of the sensitivity, specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV) and ROC curve in clinical practice and their comparison with the theoretical data of the scale in question in order to identify patients at high risk of falls in a paediatric hospital |
Countries
Italy