Enhancing acute care for older patients.

Nurs Older People

Published: November 2016

Doncaster and Bassetlaw Hospitals NHS Foundation Trust has piloted a scheme to enhance the care of frail and vulnerable older patients, and staff are already seeing positive results.

Download full-text PDF

Source
http://dx.doi.org/10.7748/nop.28.10.8.s8DOI Listing

Publication Analysis

Top Keywords

older patients
8
enhancing acute
4
acute care
4
care older
4
patients doncaster
4
doncaster bassetlaw
4
bassetlaw hospitals
4
hospitals nhs
4
nhs foundation
4
foundation trust
4

Similar Publications

Article Synopsis
  • The study investigates the prevalence and factors related to depression and anxiety among individuals with chronic kidney disease (CKD) in the UK, revealing that significant portions experience these mental health issues.
  • Participants completed an online survey that assessed mental health history and treatment preferences, finding that over half had a history of diagnosed depression and many preferred in-person support.
  • The results indicated that certain demographics, including age and gender, as well as factors like self-efficacy and current treatment, were significantly related to the levels of depression and anxiety symptoms, but differences in symptoms were not influenced by the kidney service centers’ location or size.
View Article and Find Full Text PDF

Background And Importance: Traumatic intracranial hemorrhage (tICH) after mild traumatic brain injury (mTBI) is not uncommon in the elderly. Often, these patients are admitted to the hospital for observation. The necessity of admission in the absence of clinically important intracranial injuries is however unclear.

View Article and Find Full Text PDF

Background: Falls are frequently reported within the HSE. The Irish Longitudinal Study on Ageing(TILDA) found that 40% of over 50 s experience a fall in a two year period, with 20% requiring hospital attendance (1). It has been estimated that the cost of injuries related to falls in older people will increase exponentially over the coming years (2).

View Article and Find Full Text PDF

A prediction study on the occurrence risk of heart disease in older hypertensive patients based on machine learning.

BMC Geriatr

January 2025

Department of Cardiology, The Second Hospital & Clinical Medical School, Lanzhou University, No. 82 Cuiyingmen, Lanzhou, 730000, China.

Objective: Constructing a predictive model for the occurrence of heart disease in elderly hypertensive individuals, aiming to provide early risk identification.

Methods: A total of 934 participants aged 60 and above from the China Health and Retirement Longitudinal Study with a 7-year follow-up (2011-2018) were included. Machine learning methods (logistic regression, XGBoost, DNN) were employed to build a model predicting heart disease risk in hypertensive patients.

View Article and Find Full Text PDF

Health utility scores of six common cancers in China measured by SF-6Dv2.

Health Qual Life Outcomes

January 2025

School of Health Management, Harbin Medical University, Harbin, 150081, China.

Purpose: Given the recent update of SF-6Dv2, detailed data on utility scores for cancer patients by cancer type remain scarce in China and other regions, which limits the precision of cost-utility analyses (CUA) in cancer interventions. The aim of the study was to systematically evaluate utility scores of six common cancers in China measured using SF-6Dv2, and identify the potential factors associated with utility scores.

Methods: A hospital-based cross-sectional survey was conducted from August 2022 to December 2023.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!