View clinical trials related to Staff Attitude.
Filter by:The study will utilise focus groups with trained PNAs from different Trusts spread over the Midlands region within England. This approach will help explore the experiences and views of trained PNAs in the application of the role and the foundations on which it is supported. It will also supply valuable feedback regarding the preparation, implementation, and outcome of adopting the PNA position with health care organisations, as there is a suggestion that the role could expand from England to the United Kingdom and possibly the United States of America.
The Evelina London Children's Hospital (ELCH) is planning to integrate care for children with special health care needs (CSHCN) using a package of support, including 1) family support workers to manage care coordination and support parents, and 2) 'navigation' packs outlining key services, for both the services users and providers. This study aims to explore the views and experiences of key stakeholders involved with these services, including the parents/caregivers of CSHCN, and professionals/staff team members. These will be explored using semi-structured qualitative interviews.
Background: Staffing in intensive care units (ICU) has been in the spotlight since the pandemic. Having enough nurses to deliver safe, quality care in ICU is important. However, what the skill mix should be (how many should be qualified nurses or have an ICU qualification) is unclear. Very little research has been done to look at which nursing staff combinations and mix of skills works best in ICU to support patients (described as 'staffing models').Research shows that there is a link between the quality of nurse staffing and poor patient outcomes, including deaths. Aim: Our research plans to look at different staffing models across the UK. This study aims to examine new staffing models in ICU across six very different Trusts. This study will use a research technique called Realist Evaluation that examines what works best in different situations and help to understand why some things work for some people and not others. The design of this approach will help to better understand the use of different staff ratios across different ICU settings. This study will examine what combinations of staff numbers and skills result in better patient care and improved survival rates. The aim is to produce a template that every ICU unit can use. To do this, this study will compare staffing levels with how well patients recover, and seek to understand the decisions behind staffing combinations. Methods: This study will: 1. carry out a national survey to understand the different staff models being used, comparing this against the current national standard (n=294 ICUs in the UK including Scotland) 2. observe how people at work in 6 hospitals (called ethnography), watching how they make decisions around staffing and the effect on patients. The investigators will also conduct interviews (30 interviews plus 30 ethnographic observations) to understand staffing decisions. 3. look at ICU staffing patterns and models, and linked patient outcomes (such as whether people survive ICU) over 3 years (2019-2023) in those hospitals, including with a very different combination of staffing). The investigators will then carry out some mathematical calculations to understand the best possible staffing combinations, and how this varies.
Timely interventions may reduce the occurrence of post-traumatic stress disorder (PTSD) in ICU medical staff. Existing research suggests that either self-learning psychological relief methods or seeking online counseling or therapy from professional psychotherapists during the SARS-CoV-2 Omicron outbreak has the potential to alleviate the emotional distress and promote the physical and mental health of health care workers. Web-based online mental health interventions complemented by joint effective mental health advice can further reduce harmful negative effects.