We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Thermo Fisher Scientific - Direct Effect Media

Download Mobile App




Events

ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

Nurse Staffing Levels Linked to Patient Outcomes

By HospiMedica International staff writers
Posted on 05 Jan 2017
Print article
A new study mined a number of large routinely collected hospital data sets in an attempt to reveal relationships between nurse staffing and patient outcome variables, such as safety factors.

Researchers at Birmingham City University (United Kingdom) and London South Bank University (LSBU) conducted a study to determine if relationships between registered and non-registered nurse staffing levels and clinical outcomes could be discovered through the mining of routinely collected clinical data. The secondary aim of the study was to develop the use of ‘big data’ techniques, commonly used in industry, to this area of healthcare.

The researchers collected data from the United Kingdom National Health Service (NHS, London), which included physiological signs and symptom data from the clinical database, that were then extracted, imported, and mined alongside a bespoke staffing and outcomes database. The physiological data consisted of 120 million patient entries over six years, while the bespoke database consisted of nine years of daily data on staffing levels and safety factors.

The results revealed 40 correlations between safety, physiological, and staffing factors, including several inter-related elements that demonstrated a correlation between nurse availability and outcomes. The researchers also used the large volumes of data to analyze possible scenarios. One example scenario suggested that replacing six healthcare support workers with six registered nurses on wards with highest incidences of falls could decrease the monthly total number of falls by 15%. The study was published on December 16, 2016, in BMJ Open.

“This was a very exciting project to work on, as it's a different way of thinking about the contribution nurses make to patient safety,” said Professor Alison Leary, RN, PhD, of the LSB School of Health and Social Care. “We were very surprised that so many signals emerged from the data, and it is useful that we were able to feed the new knowledge back to the Trust, who then used it in many different ways to look at patient safety.”

Previous studies examining the relationship between nursing numbers and outcomes highlighted the non-linear relationships between staffing and length of stay. While data are increasingly collected, they are rarely mined within the context of nursing to explore variables associated with the complex work of specialist nurses. The researchers anticipate that such approaches could develop nursing knowledge through the identification of patterns and important links between data, nursing interventions, and patient outcomes.

Related Links:
Birmingham City University
London South Bank University
United Kingdom National Health Service


Print article

Channels

Critical Care

view channel
Image: EsoGuard has demonstrated over 90% specificity and 90% sensitivity in identifying Barrett’s Esophagus (Photo courtesy of Lucid Diagnostics)

Biomarker Based Non-Endoscopic Technology Identifies Risk for Esophageal Cancer

Barrett's esophagus (BE) is the benign and treatable precursor condition to esophageal adenocarcinomas (EAC) which is usually diagnosed at an advanced stage and is difficult to treat. Finding BE, a sign... Read more

Surgical Techniques

view channel
Image: Bio-glue enables near-instantaneous gelling, sealing and healing of injured tissue (Photo courtesy of Pexels)

Game-Changing ‘Bio-Glue’ Could End Use of Surgical Sutures and Staple

Tissue adhesive washout and detachment are major issues for medical practitioners and may prove fatal for patients, especially when the separation happens in vital organs like the lungs, liver and the heart.... Read more

Health IT

view channel
Image: AI can reveal a patient`s heart health (Photo courtesy of Mayo Clinic)

AI Trained for Specific Vocal Biomarkers Could Accurately Predict Coronary Artery Disease

Earlier studies have examined the use of voice analysis for identifying voice markers associated with coronary artery disease (CAD) and heart failure. Other research groups have explored the use of similar... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.