View clinical trials related to Staff Attitude.
Filter by:People with serious mental illness (SMI) such as schizophrenia, schizoaffective disorder and bipolar affective disorder have a significantly reduced life expectancy, caused in part by increased incidences of mortality from physical health conditions such as cardiovascular disease (CVD) and diabetes. Electronic clinical decision support systems (eCDSS) offer clinicians patient-specific advice and recommendations based on clinical guidelines, theoretically overcoming obstacles in the use of existing paper-based guidelines. Adoption of eCDSS to address CVD risk in people with SMI presents a unique opportunity for research, but requires evidence of acceptability and feasibility before scaling up of research. The key objective of this study is to establish the feasibility and acceptability of an eCDSS (CogStack @ Maudsley) compromising a real-time electronic health record powered alerting and clinical decision support system for diabetes management in secondary inpatient mental healthcare settings. End-users of the eCDSS will be clinicians only. Firstly we will conduct initial surveys and interviews with clinicians on inpatient wards to scope experiences of managing diabetes in secondary mental healthcare settings and attitudes towards use of digital technologies to aid in clinical decision making. A feasibility study will then be run to evaluate the acceptability and feasibility of implementing eCDSS on inpatient wards. This will involve a cluster RCT on inpatient general adult psychiatry wards, where 4 months of eCDSS use by clinicians on intervention wards will be compared to 4 months of treatment as usual on control wards. All clinicians on recruited wards will be eligible to participate. At the end of the study, participating clinicians on intervention wards will be invited to take part in a survey and interview which will explore their experiences and attitudes towards using the eCDSS, and an implementation science framework will be applied to inform future implementation of eCDSS. Group level pseudonymised outcome data will be gathered through a separate study.
This study will test feasibility and preliminary effects of an automated and performance-based feedback app (Speeko for Elderspeak) that detects and reports the use of diminutives (terms of endearment such as honey, dearie, and sweetie), prevalent elderspeak terms linked to BPSD. Building on proof of concept established in the laboratory, the app will demonstrate feasibility at the point-of-care. Next, a clinical trial (N= 6NHs) will be conducted to test preliminary efficacy of the app for amplifying reductions in diminutives use for NH staff completing the CHATO training (3 online modules).
Objectives AIM 1. Establish acceptability and preliminary efficacy of online CHATO modules through pilot testing with NH staff. AIM 2. Develop and pilot test the data collection tool with consultant and advisory panel input. Interviews of NH administrators and staff who participate in the pilot testing of CHATO and a process evaluation will be used to identify and develop supports for implementation and sustainability in preparation for future CHATO testing. Design and Outcomes The R61 will prepare for the R01 pragmatic trial by establishing feasibility of online modules and preliminary efficacy of CHATO with NH staff. The research design is a randomized clinical trial. One NH will provide initial feasibility testing. Any modifications to the modules will be made. Then six nursing homes (estimated N=150 staff) will be randomly assigned to intervention or wait-list control groups. The primary outcome will be knowledge gain for staff completing CHATO training. Additional outcomes include resident quality measures related to behavioral and psychological symptoms of dementia (BPSD) on both resident and facility levels and facility level data related to inappropriate use of psychotropic medications to control BPSD. Implementation strategies will be assessed by survey and leadership interviews completed by an external evaluator. Interventions and Duration Changing Talk Online (CHATO) training is a course is to increase awareness of the importance of effective communication with older adults and to use evidence-based person-centered communication during interactions with older adults in nursing homes and other health care settings. The total program is approximately 3 hours, split into 3 modules. Each module is approximately an hour, depending on the individual user. Each NH will work with the research team for three months to plan, implement, and collect data. Sample Size and Population This course is designed for staff in nursing homes, independent and assisted living, and health care settings in the community that include registered nurses, nursing assistants, nursing home dieticians, direct care professionals, other administrations and support employees. All the employees at all seven nursing homes will be asked to participate. Assignment of NHs to intervention and wait-list control groups will be at random. A sample of 150 training participants are estimated.
This research sets to address two key areas. The first is identified by the researcher in academic literature that there is a lack of a comprehensive innovation adoption model in UK National Health System (NHS), specifically for Medical Robotic Surgery. Existing frameworks are mainly developed in the US or in other fields. The second problem was identified by surgeons involved in Robotic Surgery in Royal Bournemouth Hospital (RBH). The project started by offering RBH a deeper understanding of the innovation adoption process, issues and development of an adapted innovation model, however after our initial meeting with the Surgical Director and his team, it was clear that one the main areas RBH was keen for us to investigate, was the communication pathway of all stakeholders involved in robotic surgery adoption. They were concerned that key staff dealing with patients undergoing medical robotic surgery were uninformed about the technology and process which can impact patients' experience and staff communication. The research will develop a comprehensive innovation adoption model for robotic surgery (and similar medical innovation) in NHS. Currently there are no models adapted to NHS UK structure and requirements. This model will assist the NHS to understand and evaluate any innovation adoption process within the NHS and to avoid future innovation adoption failure. The case example will Identify the communication pathway and key stakeholders in RBH for the process of Gastrointestinal Robotic Surgery, evaluation of stakeholders' knowledge and needs and further proposing ways to improve adoption and increase knowledge. NHS can use the proposed communication pathway to identify stakeholders that need to be informed, trained and communicated to, in any innovation adoption process within NHS.
This qualitative study uses focus group methodology and purposive sampling with the aim of obtaining views of Care Home Support Service staff and other stakeholders about their experiences of a redesigned National Health Service (NHS) Care Home Support Service. Individual stakeholder focus groups will be conducted with General Practitioners (GP), care home staff, relatives of residents in care homes, service-user representatives (Total N=32, across 4 focus groups). This study forms part of a larger evaluation of the CHSS service; service improvement workshops will be conducted with Oxford Health NHS Care Home Support Service, Community Nursing and Community Mental Health staff that are working in the 102 participating homes. Each participant who consents will take part in a focus group to explore their experiences of a redesigned NHS care home support service. Participants will be involved in the study for up to six months from gaining informed consent until last contact with the research team when a summary of the research will be sent. The data will be analysed using thematic analysis and applied with the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) framework.