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Objectives: This study explored the familiarity, perceptions and confidence of Australian radiology clinicians involved in reading screening mammograms, regarding artificial intelligence (AI) applications in breast cancer detection. Methods: Sixty-five radiologists, breast physicians and radiology trainees participated in an online survey that consisted of 23 multiple choice questions asking about their experience and familiarity with AI products. Furthermore, the survey asked about their confidence in using AI outputs and their preference for AI modes applied in a breast screening context. Participants' responses to questions were compared using Pearson's χ 2 test. Bonferroni-adjusted significance tests were used for pairwise comparisons. Results: Fifty-five percent of respondents had experience with AI in their workplaces, with automatic density measurement powered by machine learning being the most familiar AI product (69.4%). The top AI outputs with the highest ranks of perceived confidence were 'Displaying suspicious areas on mammograms with the percentage of cancer possibility' (67.8%) and 'Automatic mammogram classification (normal, benign, cancer, uncertain)' (64.6%). Radiology and breast physicians preferred using AI as second-reader mode (75.4% saying 'somewhat happy' to 'extremely happy') over triage (47.7%), pre-screening and first-reader modes (both with 26.2%) (P < 0.001). Conclusion: The majority of screen readers expressed increased confidence in utilising AI for highlighting suspicious areas on mammograms and for automatically classifying mammograms. They considered AI as an optimal second-reader mode being the most ideal use in a screening program. The findings provide valuable insights into the familiarities and expectations of radiologists and breast clinicians for the AI products that can enhance the effectiveness of the breast cancer screening programs, benefitting both healthcare professionals and patients alike. What is known about the topic? Artificial intelligence (AI) holds promise in providing computer-aided detection in health care, however, current research suggests that standalone AI applications in clinical practice fall short of matching the accuracy of a single radiologist. What does this paper add? The study showed a significant preference among clinicians for using AI as a supplementary tool, serving as a second-reader. Such an integrated approach, where AI aids in flagging suspicious areas on mammograms or offers automatic classification, reflects the ideal cooperation between breast screening readers and AI systems. What are the implications for practitioners? These insights shed light on clinicians' familiarity with and expectations of AI tools that can boost the effectiveness of breast screening programs. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to conduct a learning and development needs analysis of quality improvement partnership capabilities of staff and consumers on partnership committees at an Australian metropolitan hospital and health service. Objectives were to compare consumer and staff self-rated capability importance, performance, and learning needs; to investigate if years of partnership experience influenced ratings; and to ascertain staff and consumer preferred learning strategies. Methods: An online cross-sectional survey was adapted from the Hennessy–Hicks Training Needs Analysis questionnaire. Participants self-rated the importance of, and their performance on, 10 capabilities, across four domains, of an internationally validated co-produced capability development framework. They also rated preferences regarding learning approaches and media. Results: A total of 199 members from 41 committees (174 staff; 25 consumers; response rate 35.38%) participated. There was a statistically significant learning and development need across all capabilities (P < 0.01). The highest learning need was for influencing organisational systems and policy (mean = −0.96; s.d. = 1.23), followed by equalising power and leadership (mean = −0.91; s.d. = 1.22), and then implementing partnership best practices (mean = −0.89; s.d. = 1.22). There were no statistically significant differences between consumers and staff on ratings, or correlations between years of partnership experience and ratings (P < 0.01). A combination of learning approaches was preferred, followed by learning through experience. Self-reflection was least preferred, which is concerning given it may promote equalising power and leadership. Face-to-face then videoconferencing were the preferred learning media. Conclusions: Continuous co-learning for staff and consumers about QI partnerships is essential. Committee members needed more feedback regarding their influence and to be engaged in innovative co-design practices. What is known about the topic? Staff and consumer capabilities are essential for effective collaboration on quality improvement (QI) committees, however, research is lacking. What does this paper add? This learning and development needs analysis provides direction for effective design of education and support programs. What are the implications for practitioners? Staff and consumers should continuously develop QI partnership capabilities together, and through multiple learning approaches. Increased exposure to innovative co-design strategies is needed to enhance capabilities and influence on organisational systems and policies. Sharing power and leadership was also a high learning need with self-reflection being vital. [ABSTRACT FROM AUTHOR]

Objective. Fostering a research culture and enhancing research capacity within the workforce is essential for any health service aiming to provide evidence-based care. This study aims to explore the research culture and capacity in a community health service setting and provide a comparison to previous published research in other health service settings. Methods. Participants were invited to complete a survey consisting of demographics and the Research Capacity and Culture (RCC) tool. Median and interquartile ranges were calculated for each RCC item and compared to three Australian and one international comparison. Results. A total of 73 staff members from Metro North Community and Oral Health service participated. The team-level scores for the RCC were overall the lowest. Comparison to previously published research using the RCC indicated marginally higher scores for individual-level items in our study across all domains. Individual-level items were very weak to weakly correlated with the team and organisation-level RCC items. Strong to very strong correlations were found between a majority of the team and organisation-level items. Conclusions. Team-level scores were substantially lower when compared to individual and organisational levels. The item 'team leaders that support research' was positively correlated with various organisation-level items, indicating that if the respondent perceived the team leader as a low supporter of research the respondent perceived several organisation items also poorly. As an important stakeholder in enabling research in a health service, organisations should investigate the challenges experienced by team leaders in facilitating research and the support or training they may need. [ABSTRACT FROM AUTHOR]

Objective. This study aimed to assess and compare the psychological wellbeing of Australian hospital clinical staff at three timepoints during the coronavirus disease 2019 (COVID-19) pandemic. Methods. An anonymous, online, cross-sectional survey was conducted at three timepoints during the COVID-19 pandemic (T1: May–June 2020; T2: October–December 2020; T3: November 2021–January 2022). The surveys were completed by nurses, midwives, doctors and allied health staff employed at a large metropolitan tertiary health service located in Melbourne, Australia. The Depression, Anxiety and Stress Scale (DASS-21) assessed respondents’ psychological wellbeing in the past week. General linear models were used to measure the effects of survey timepoint on DASS-21 subscale scores, adjusting for selected sociodemographic and health characteristics. Results. A total of 1470 hospital clinical staff completed at least one survey (T1: 668 (14.7%), T2: 358 (7.9%) and T3: 444 (9.8%)). Respondents’ sociodemographic characteristics were similar across the three timepoints and within professional discipline groups. Respondents’ psychological wellbeing was worse at T3 compared to the earlier survey timepoints. Adjusting for respondent characteristics, depression, anxiety and stress scores were significantly higher for respondents of the third survey compared to the first (P < 0.001). Conclusions. There was a significant and persistent negative impact on the psychological wellbeing of hospital clinical staff in Australia across waves of the COVID-19 pandemic. Hospital clinical staff would benefit from ongoing and continued wellbeing support during and after pandemic waves. [ABSTRACT FROM AUTHOR]

Background: The Australian population is aging, and the proportion of older Australians will continue to grow over the coming decades. However, there is a lack of research published on the specific roles and responsibilities of allied health professionals (AHPs) providing palliative care within an aged care context. Understanding the roles and needs of AHPs providing care during the last months of life in the community and aged care facilities could contribute to workforce planning, targeted information and improved care. Methods: In total, 108 eSurveys were collected between November 2019 to May 2020 from three allied health professions working in government-funded aged care; the majority of these being in residential aged care. Descriptive data are reported on the provision of care in key palliative care domains, care settings and practice activity. Results: Nearly all respondents reported they had worked with older Australians who had palliative care needs. However, over one-third of respondents reported low levels of confidence in supporting clients or residents with palliative care needs. The majority indicated they would benefit from additional education and training and support in palliative care. Conclusions: This study investigated the role of the allied health workforce in contributing to the care of older Australians at the end of life. It has also demonstrated that there are gaps in practice activity and work role that must be addressed to ensure this workforce can support older people with palliative care needs in receipt of aged care services. Allied health professionals are important members of the aged care workforce. Currently, there is limited published research on the specific roles and responsibilities of allied health professionals providing palliative care in this setting. This study identifies key aspects of their role and issues influencing palliative care practice and care at the end of life in aged care. [ABSTRACT FROM AUTHOR]