Conectar
Pulmonary embolism (PE) is a potentially fatal condition requiring timely diagnosis and treatment. CT pulmonary angiography (CTPA) is the gold standard for diagnosis and indicates PE severity through radiological markers of right heart strain. However, accurate interpretation and communication of these findings is often suboptimal in real-world practice. Artificial intelligence (AI) could alleviate pressure on radiology services by supporting PE identification, risk stratification and worklist prioritisation. Before widespread adoption, AI tools must be rigorously validated for diagnostic accuracy, safety and clinical impact.
This pragmatic single-centre, non-randomised quasi-experimental study will evaluate the diagnostic accuracy, feasibility, and clinical-cost impact of AI-assisted PE detection and risk stratification using AIDOC and IMBIO software. We will recruit two consecutive cohorts of adult patients undergoing CTPAs for suspected PE: a comparator cohort (12 months pre-AI implementation) and an intervention cohort (12 months post-AI implementation). AI will be applied retrospectively to the comparator cohort, while in the intervention cohort, radiologists will have contemporaneous access to the AI’s interpretation of CTPA images.
A subset of retrospective scans, both PE-positive and PE-negative, will undergo expert thoracic radiologist review to establish a reference standard. Data on patient demographics, clinical management and outcomes will be collected. Clinical management pathways and patient outcomes will be compared between cohorts to assess AI’s influence on acute PE management. Health economic modelling will assess the cost-effectiveness of integrating AI technology within the diagnostic workflow of acute PE.
This study was approved by the UK Healthcare Research authority (IRAS 311735, 10 May 2023). Ethical approval was granted by West of Scotland Research Ethics Service (23/WS/0067, 3 May 2023). Results will be shared with stakeholders, presented at national and international conferences, and published in open-access peer-reviewed journals.
To report how person-centred care principles are applied to care planning and to explore the contextual factors affecting their implementation in older adult care homes in England.
A combined framework analysis and quantitative content analysis study.
Using a semi-structured questionnaire, we interviewed 22 care home managers in England, exploring topics around care planning processes. Audio recordings were transcribed verbatim. Transcripts were analysed through a combined framework approach and content analysis.
Most care home managers discussed person-centred care planning in terms of understanding residents' values and preferences and their engagement in decision-making. Factors facilitating person-centred planning implementation included accessible planning tools, supportive care home leadership, effective communication and collaborative partnerships. Inhibiting factors included regulatory and care practice misalignment, time constraints and adverse staffing conditions.
Differences between care home practitioners' understanding and practice of person-centred care planning require further examination to improve understanding of the sector's complexity and to develop suitable care planning instruments.
Findings demonstrate a need for improved staff access to specialised person-centred care training and an opportunity for care home nursing practitioners to lead the co-development of digital person-centred care planning tools that reflect the reality of long-term care settings.
Identifying factors influencing the implementation of holistic approaches to care planning makes clear the need for modernising long-term care policy and practice to adapt to the contemporary challenges of the care home sector.
Study reporting was guided by the Standards for Reporting Qualitative Research.
Two public involvement advisors with lived experience of caring for a relative living in a care home contributed to the development of the interview guide, advised on care home engagement, guided the interpretation of the findings and commented on the drafted manuscript.
The aim of this study was to document the process of the implementation and the perceived impact and sustainability of the Expansive Learning in Practice Model and its associated costs to inform future rollout.
A mixed-method rapid evaluation was conducted, comprising both qualitative and economic workstreams to document the implementation of the Expansive Learning in Practice Model and its associated costs. Semi-structured interviews (n = 44) were carried out with student nurses, student assessors, and staff involved in the delivery of the Model. The qualitative workstream utilised a rapid cycle evaluation approach, where data were collected and analysed in parallel, and preliminary findings were shared with stakeholders as the study was ongoing. The quantitative workstream relied on routinely collected data about non-staff-related costs, staff-related costs, and data on students' participation.
The main themes developed from the qualitative data included the organisation of the Expansive Learning Experiences, the supportive environment, the enhanced learning experience, and capacity building. Participants perceived that the model had a positive impact on student practice (including preparation and confidence) and on student nurse satisfaction. At the end of the programme, it is estimated that the programme will have cost about £523,572.
This model can be used as a framework for hospitals aiming to improve the learning experiences for student nurses. Improvements could be made by increasing staff buy-in and the streamlining of spoke opportunities. Future studies should focus on evaluating the long-term impact of the model, particularly the impact on generating student placement capacity. The evaluation also highlights the need for solutions for potential educational staff shortages, which could pose a risk to maintaining sufficient practice placement capacity for student nurses in healthcare settings.
Study participants perceived an improvement in student nurses' learning experiences and student nurse placement capacity as a result of the implementation of this model.
The relevant EQUATOR guidelines followed for reporting were the GRAMM guidelines (Good Reporting of a Mixed Methods Study).
The study centred around student nurse and staff experiences.
The emergency department (ED) often serves as a crucial pathway for cancer diagnosis. However, little is known about the management of patients with new suspected cancer diagnoses in the ED. The objective of this study was to explore emergency physicians’ experiences in managing patients with a newly suspected cancer diagnosis in the ED.
Between January and April 2024, we conducted a qualitative descriptive study. Interviews were conducted by trained research personnel using a semistructured interview guide. Interviews were conducted until thematic saturation was achieved. The interview transcripts were coded and thematic analysis was used to uncover key themes.
Emergency physicians practising in Ontario, Canada.
20 emergency physicians were interviewed. Four themes around the management of patients with new suspected cancer diagnoses in the ED were identified: (1) healthcare system-level factors that impact suspected cancer diagnosis through the ED, (2) institutional and provider-level challenges associated with managing patients with a suspected cancer diagnosis in the ED, (3) patient-level characteristics and experiences of receiving a cancer diagnosis in the ED and (4) the need for care coordination for patients with suspected cancer in the ED.
Physicians experienced several unique challenges in managing patients with a suspected cancer diagnosis in the ED. Overall, the findings of this study suggest these challenges often make the ED a difficult environment in which to deliver a suspected cancer diagnosis.
FreshRSS 