A survey of skin failure perceptions amongst pressure injury management staff in China: A cross‐sectional study

Abstract

This study sought to evaluate the perceptions of pressure injury (PI) management staff regarding skin failure (SF). Additionally, an analysis of influencing factors based on the collected data was conducted to establish a foundation for targeted SF training. A descriptive, cross-sectional survey was undertaken in October–November 2023, utilising a convenience sampling method involving selected management staff of PI from 16 provinces in China. A total of 501 nursing participants were included, exhibiting an overall perception level that was moderately low. Although the majority were aware of the possibility of SF (n = 417, 83.23%), only 60% reported an understanding of the fundamentals of SF, with the lowest level of comprehension observed in differentiating between SF and PI (n = 212, 42.31%). Overall attitudes were generally positive. Regarding behaviour, active learning was more prevalent (n = 340, 67.86%), but training is less (n = 287, 57.29%). Family education (n = 401, 80.04%) and nursing record monitoring (n = 426, 85.03%) demonstrated better behaviour. Further analysis revealed that training (t = 13.937, p < 0.001) and professional title (F = 4.681, p = 0.010) had a significant effect on participants' perceptions. These findings underscore that there remains a substantial lack of perception about SF amongst participants. Overall, participants exhibited a positive attitude towards SF, highlighting the need for future improvements in SF training.

Emissions reduction strategy in a three-stage agrifood value chain: A dynamic differential game approach

by Huanhuan Wang, Xiaoli Fan, Qilan Zhao, Pengfei Cui

Agrifood systems account for 31% of global greenhouse gas emissions. Substantial emissions reduction in agrifood systems is critical to achieving the temperature goal set by the Paris Agreement. A key challenge in reducing GHG emissions in the agrifood value chain is the imbalanced allocation of benefits and costs associated with emissions reduction among agrifood value chain participants. However, only a few studies have examined agrifood emissions reduction from a value chain perspective, especially using dynamic methods to investigate participants’ long-term emissions reduction strategies. This paper helps fill this gap in the existing literature by examining the impact of collaborations among agrifood value chain participants on correcting those misallocations and reducing emissions in agrifood systems. We develop a dynamic differential game model to examine participants’ long-term emissions reduction strategies in a three-stage agrifood value chain. We use the Hamilton-Jacobi-Bellman equation to derive the Nash equilibrium emissions reduction strategies under non-cooperative, cost-sharing, and cooperative mechanisms. We then conduct numerical analysis and sensitivity analysis to validate our model. Our results show that collaboration among value chain participants leads to higher emissions reduction efforts and profits for the entire value chain. Specifically, based on our numerical results, the cooperative mechanism results in the greatest emissions reduction effort by the three participants, which leads to a total that is nearly three times higher than that of the non-cooperative mechanism and close to two times higher than the cost-sharing mechanism. The cooperative mechanism also recorded the highest profits for the entire value chain, surpassing the non-cooperative and cost-sharing mechanisms by around 37% and 16%, respectively. Our results provide valuable insights for policymakers and agrifood industry stakeholders to develop strategies and policies encouraging emissions reduction collaborations in the agrifood value chain and reduce emissions in the agrifood systems.