ORCID Profile
0000-0003-3836-8655
Current Organisations
Northumbria University
,
University of Cambridge
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Wiley
Date: 23-06-2023
DOI: 10.1111/JPM.12946
Abstract: Risk assessment and risk management are considered to be important practices carried out by mental health nurses. Risk assessment can help keep mental health service users' safe, but some nurses see it as a ‘tick the box’ exercise. Some studies have looked at nurses' attitudes to risk assessment but no one has systematically described all the studies. Mental health nurses' attitudes towards risk assessment are erse with regard to its legitimacy, conduct and value. This study provides an organised framework to help understand the areas in which these different attitudes occur. Since attitudes can influence clinical practice, nurses need to reflect on how they view risk assessment. Further research is required to investigate whether particular attitudes are positive or negative and whether attitudes can be changed. Understanding nurses' attitudes towards risk assessment could inform education and practice improvements. To explore mental health nurses' attitudes towards risk assessment. An integrative systematic review (PROSPERO: CRD42023398287). Multiple databases (PubMed, CINAHL, MEDLINE, EMBASE and PsycINFO) were searched for primary studies of mental health nurses' attitudes towards risk assessment. Qualitative studies were subject to inductive coding and thematic analysis quantitative data were integrated with emerging themes. Eighteen articles were included. Qualitative studies commonly lacked rigorous analyses. Four themes emerged: underlying purpose and legitimacy of risk assessment (philosophical orientation) use of structured approaches (technical orientation) value of intuition (intuitive orientation) and service user involvement (relationships orientation). There were contradictory study findings in each thematic category indicating different attitudes among mental health nurses. Mental health nurses' attitudes towards risk assessment vary in four key domains. Survey studies suggest they are more approving of structured approaches to risk assessment than many qualitative studies suggest. There is a need to develop a valid measure of attitudes to risk assessment. This review could help health organisations to develop strategies to improve their risk assessment policies and practice. There is a need to develop structured training and education programmes.
Publisher: Oxford University Press (OUP)
Date: 18-10-2021
Abstract: Vascular ageing biomarkers have been found to be predictive of cardiovascular risk independently of classical risk factors, yet are not widely used in clinical practice. In this review, we present two basic approaches for using machine learning (ML) to assess vascular age: parameter estimation and risk classification. We then summarize their role in developing new techniques to assess vascular ageing quickly and accurately. We discuss the methods used to validate ML-based markers, the evidence for their clinical utility, and key directions for future research. The review is complemented by case studies of the use of ML in vascular age assessment which can be replicated using freely available data and code.
Publisher: IOP Publishing
Date: 26-07-2023
Publisher: American Physiological Society
Date: 07-2023
DOI: 10.1152/AJPHEART.00705.2022
Abstract: Arterial pulse waves (PWs) such as blood pressure and photoplethysmogram (PPG) signals contain a wealth of information on the cardiovascular (CV) system that can be exploited to assess vascular age and identify in iduals at elevated CV risk. We review the possibilities, limitations, complementarity, and differences of reduced-order, biophysical models of arterial PW propagation, as well as theoretical and empirical methods for analyzing PW signals and extracting clinically relevant information for vascular age assessment. We provide detailed mathematical derivations of these models and theoretical methods, showing how they are related to each other. Finally, we outline directions for future research to realize the potential of modeling and analysis of PW signals for accurate assessment of vascular age in both the clinic and in daily life.
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Peter Charlton.