Improving sustainable transportation options will help cities tackle growing challenges related to population health, congestion, climate change and inequity. Interventions supporting active transportation face many practical and political hurdles. Implementation science aims to understand how interventions or policies arise, how they can be translated to new contexts or scales and who benefits. Sustainable transportation interventions are complex, and existing implementation science frameworks may not be suitable. To apply and adapt implementation science for healthy cities, we have launched our mixed-methods research programme, CapaCITY/É. We aim to understand how, why and for whom sustainable transportation interventions are successful and when they are not.

Across nine Canadian municipalities and the State of Victoria (Australia), our research will focus on two types of sustainable transportation interventions: all ages and abilities bicycle networks and motor vehicle speed management interventions. We will (1) document the implementation process and outcomes of both types of sustainable transportation interventions; (2) examine equity, health and mobility impacts of these interventions; (3) advance implementation science by developing a novel sustainable transportation implementation science framework and (4) develop tools for scaling up and scaling out sustainable transportation interventions. Training activities will develop interdisciplinary scholars and practitioners able to work at the nexus of academia and sustainable cities.

This study received approval from the Simon Fraser University Office of Ethics Research (H22-03469). A Knowledge Mobilization Hub will coordinate dissemination of findings via a website; presentations to academic, community organisations and practitioner audiences; and through peer-reviewed articles.

The aim of this study was to investigate the prevalence of missed nursing care and its associated factors among public hospitals in Bahir Dar City, Northwest Ethiopia.

An institution-based cross-sectional study was conducted among 369 randomly selected nurses.

The study was conducted in primary and secondary-level public hospitals in Bahir Dar City.

Nurses who had worked in hospitals in Bahir Dar City were included.

No intervention was needed in this study.

A binary logistic regression model was used for statistical analysis. Statistical significance of the association between outcome variables and independent variables was declared at a p value of

The prevalence of missed nursing care in this study was 46.3% (95% CI: 41.7% to 50.9%). The activities most frequently missed were physical examination (56.4%), patient discharge planning and teaching (50.9%), providing emotional support to the patient and family (50.8%), monitoring input and output (50.2%), assisting with patient ambulation (48.5%) and documentation (48%). Factors associated with missed nursing care include: male professionals (adjusted OR (AOR): 2.9, 95% CI: 1.8 to 4.8), those who had not received on-the-job training (AOR: 2.2, 95% CI: 1.4 to 3.6), those who worked full 24-hour shifts (AOR: 3.7, 95% CI: 2.0 to 6.5), those who were dissatisfied with the level of teamwork (AOR: 4.6, 95% CI: 2.8 to 7.6) and those who had an intention to leave the nursing profession (AOR: 1.8, 95% CI: 1.1 to 2.9). These factors were statistically associated with missed nursing care.

A significant proportion of nurses missed essential nursing care activities. Efforts should be made to enhance training, improve teamwork among nurses, provide stability and adjust work shifts to mitigate this issue.