Introduction: The Ottawa Conference on the Assessment of Competence in Medicine and the Healthcare Professions was first convened in 1985 in Ottawa. Since then, what has become known as the Ottawa conference has been held in various locations around the world every 2 years. It has become an important conference for the community of assessment – including researchers, educators, administrators and leaders – to share contemporary knowledge and develop international standards for assessment in medical and health professions education.

Methods: The Ottawa 2022 conference was held in Lyon, France, in conjunction with the AMEE 2022 conference. A diverse group of international assessment experts were invited to present a symposium at the AMEE conference to summarise key concepts from the Ottawa conference. This paper was developed from that symposium.

Results and discussion: This paper summarises key themes and issues that emerged from the Ottawa 2022 conference. It highlights the importance of the consensus statements and discusses challenges for assessment such as issues of equity, diversity, and inclusion, shifts in emphasis to systems of assessment, implications of ‘big data’ and analytics, and challenges to ensure published research and practice are based on contemporary theories and concepts.

The determination of key phenological growth stages of banana plantations, such as flower emergence and plant establishment, is difficult due to the asynchronous growth habit of banana plants. Identifying phenological events assists growers in determining plant maturity, and harvest timing and guides the application of time-specific crop inputs. Currently, phenological monitoring requires repeated manual observations of individual plants’ growth stages, which is highly laborious, time-inefficient, and requires the handling and integration of large field-based data sets. The ability of growers to accurately forecast yield is also compounded by the asynchronous growth of banana plants. Satellite remote sensing has proved effective in monitoring spatial and temporal crop phenology in many broadacre crops. However, for banana crops, very high spatial and temporal resolution imagery is required to enable individual plant level monitoring. Unoccupied aerial vehicle (UAV)- based sensing technologies provide a cost-effective solution, with the potential to derive information on health, yield, and growth in a timely, consistent, and quantifiable manner. Our research explores the ability of UAV-derived data to track temporal phenological changes of individual banana plants from follower establishment to harvest. Individual plant crowns were delineated using object-based image analysis, with calculations of canopy height and canopy area producing strong correlations against corresponding ground-based measures of these parameters (R² of 0.77 and 0.69 respectively). A temporal profile of canopy reflectance and plant morphology for 15 selected banana plants were derived from UAV-captured multispectral data over 21 UAV campaigns. The temporal profile was validated against ground-based determinations of key phenological growth stages. Derived measures of minimum plant height provided the strongest correlations to plant establishment and harvest, whilst interpolated maxima of normalised difference vegetation index (NDVI) best indicated flower emergence. For pre-harvest yield forecasting, the Enhanced Vegetation Index 2 provided the strongest relationship (R² = 0.77) from imagery captured near flower emergence. These findings demonstrate that UAV-based multitemporal crop monitoring of individual banana plants can be used to determine key growing stages of banana plants and offer pre-harvest yield forecasts.

Image and performance enhancing drugs (IPEDs) have been highlighted in recent years as posing a potential risk to public health, with much research dedicated to exploring the use of these drugs and associated harms. While recent work has considered harm reduction for IPED users, the geographic and cultural impacts of rurality on IPED use and harms, particularly in relation to harm reduction service access, remains comparatively under-explored. Features of rurality relating to levels of economic distress, the inheritance and decline of manual labor, and rural conceptions of masculinity are important in shaping drug harms. Consequently, the “rural risk environment” for IPED users is in need of exploration. This research examines the experiences of IPED users in a remote two-county region of rural England, drawn from a multi-year ethnography and 18 qualitative interviews with IPED users, to explore the impacts of rurality and the “rural risk environment” on service access and harm (reduction) within this population. Findings highlight a number of ways in which rurality impacted on IPED users’ access to harm reduction services such as needle and syringe programs (NSP), as well as engagement with healthcare practitioners (HCP). Issues included the distances required to access services and lack of public transport between towns; the impacts of stigma in a small town context where there is little anonymity; Distrust of HCP relating to cultural mindsets and regionally derived fears regarding impacts on employment prospects, particularly military; and the impacts of rural masculinities and perceptions of the self-sufficient “real man” on help-seeking when experiencing harm. The research highlights the need to incorporate cultural geographic understandings into harm reduction policy for IPED users, and the significance of rurality on experiences of harm.

Background Growing evidence suggests that sitting is activated automatically on exposure to associated environments, yet no study has yet sought to identify in what ways sitting may be automatic.

Method This study used data from a 12-month sitting-reduction intervention trial to explore discrete dimensions of sitting automaticity, and how these dimensions may be affected by an intervention. One hundred ninety-four office workers reported sitting automaticity at baseline, and 3 months, 6 months, 9 months and 12 months after receiving one of two sitting-reduction intervention variants.

Results Principal component analysis extracted two automaticity components, corresponding to a lack of awareness and a lack of control. Scores on both automaticity scales decreased over time post-intervention, indicating that sitting became more mindful, though lack of awareness scores were consistently higher than lack of control scores.

Conclusion Attempts to break office workers’ sitting habits should seek to enhance conscious awareness of alternatives to sitting and afford office workers a greater sense of control over whether they sit or stand.