Skip to content
Research Article Open access CC BY 4.0

A Descriptive Study to Measure the Reliability of Braden Scale Score Calculated by Clinical Nurses and Evaluate Its Predictive Value for Pressure Ulcer Risk among ICU Patients

Shruti Madhukar Gawade, Rita Lakhani, Yamini Patil

Journal of Pharmaceutical Research International · pp. 57–63 · Published 29 Dec 2021

10.9734/jpri/2021/v33i62B35171

Abstract

The research study was done to measure the Reliability of Braden Scale Score Calculated by Clinical Nurses and evaluate its Predictive Value for PU Risk among ICU Patients. A descriptive research study design was adopted. The study was conducted at the ICUs of DY Patil Hospital, Navi Mumbai. Non probability purposive sampling technique was used. In this study samples were ICU patients (N=75) and clinical staff (N=36). The data was collected using observation and interview techniques. The data was tabulated and analyzed in terms of the study objectives. The data collection was done from ICU Patients and clinical staff. The study result shows the overall Interrater reliability conveyed by intra class correlation coefficient was 0.865 with 95% confidence interval (0.787, 0.915). Interrater reliability expressed by intra class correlation coefficient for individual item ranged from 0.013 that is 13.00% with 95% confidence interval (-0.090, 0.140) to 0.643 with 95% confidence interval (0.176, 0.821) with the lowest value being measure from ‘sensory perception’ and ‘moisture.’  Although the calculated Interrater reliability coefficients for total Braden score were moderate or high in some cases several clinical differences occurred between the two groups. Due to Interrater, reliability being very low in some cases like “sensory perception” and “moisture” it is doubtful that their assessments contribute to any valid results. The calculation of intra class correlation coefficients is the most appropriate Interrater reliability estimates.

Interrater reliability Braden scale Pressure ulcer risk assessment

Cited by 1

An Integrated System of Multifaceted Machine Learning Models to Predict If and When Hospital-Acquired Pressure Injuries (Bedsores) Occur

Odai Y. Dweekat, Sarah S. Lam, Lindsay McGrath · International Journal of Environmental Research and Public Health · 2023

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

1

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.