Conectar
In a small percentage of patients, pulmonary nodules found on CT scans are early lung cancers. Lung cancer detected at an early stage has a much better prognosis. The British Thoracic Society guideline on managing pulmonary nodules recommends using multivariable malignancy risk prediction models to assist in management. While these guidelines seem to be effective in clinical practice, recent data suggest that artificial intelligence (AI)-based malignant-nodule prediction solutions might outperform existing models.
This study is a prospective, observational multicentre study to assess the clinical utility of an AI-assisted CT-based lung cancer prediction tool (LCP) for managing incidental solid and part solid pulmonary nodule patients vs standard care. Two thousand patients will be recruited from 12 different UK hospitals. The primary outcome is the difference between standard care and LCP-guided care in terms of the rate of benign nodules and patients with cancer discharged straight after the assessment of the baseline CT scan. Secondary outcomes investigate adherence to clinical guidelines, other measures of changes to clinical management, patient outcomes and cost-effectiveness.
This study has been reviewed and given a favourable opinion by the South Central—Oxford C Research Ethics Committee in UK (REC reference number: 22/SC/0142).
Study results will be available publicly following peer-reviewed publication in open-access journals. A patient and public involvement group workshop is planned before the study results are available to discuss best methods to disseminate the results. Study results will also be fed back to participating organisations to inform training and procurement activities.
To generate, test and refine programme theories that emerged from a rapid realist review investigating practising UK Nurses' and Midwives' experiences of effective leadership strategies during the COVID-19 pandemic.
The realist review of literature generated six tentative theories of healthful leadership practices reflecting, working with people's beliefs and values; being facilitative; multiple means of communication and; practical support. The review yielded little insight into the actual impact of the leadership approaches advocated.
A realist study, informed by person-centredness using mixed-methods. Online survey (n = 328) and semi-structured interviews (n = 14) of nurses and midwives across the UK in different career positions/specialities. Quantitative data analysed using descriptive statistics and exploratory factor analysis. Framework analysis for qualitative data using context (C), mechanism (M), outcome (O) configurations of the tentative theories.
Three refined theories were identified concerning: Visibility and availability; embodying values and; knowing self. Healthful leadership practices are only achievable within organisational cultures that privilege well-being.
Leaders should intentionally adopt practices that promote well-being. ‘Knowing self’ as a leader, coaching and mentoring practice development is important for leadership development.
Nurses who feel valued, heard, cared for and safe are more likely to remain in clinical practice. Job satisfaction and being motivated to practice with confidence and competence will impact positively on patient outcomes.
The study addresses the role of leadership in developing healthful workplace cultures. The main findings were six leadership practices that promote healthful cultures. The research will have an impact on strategic and clinical leaders, nurses and midwives.
This study used EQUATOR checklist, RAMASES II as reporting standards for realist evaluations.
No patient or public contribution.
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