European Centre for Environment and Human Health, University of Exeter Medical School, Knowledge Spa, RCH Treliske, Truro TR1 3HD, UK; Royal Cornwall Hospitals NHS Trust, Truro TR1 3LJ, Cornwall, UK; Pollard Systems Ltd, Mevagissey, Cornwall PL26 6TL, UK.
Royal Cornwall Hospitals NHS Trust, Truro TR1 3LJ, Cornwall, UK.
Public Health. 2014 Sep;128(9):771-6. doi: 10.1016/j.puhe.2014.06.015. Epub 2014 Sep 2.
Climate change has the potential to threaten human health and the environment. Managers in healthcare systems face significant challenges to balance carbon mitigation targets with operational decisions about patient care. Critical care units are major users of energy and hence more evidence is needed on their carbon footprint.
The authors explore a methodology which estimates electricity use and associated carbon emissions within a Critical Care Unit (CCU).
A bottom-up model was developed and calibrated which predicted the electricity consumed and carbon emissions within a CCU based on the type of patients treated and working practices in a case study in Cornwall, UK.
The model developed was able to predict the electricity consumed within CCU with an error of 1% when measured against actual meter readings. Just under half the electricity within CCU was used for delivering care to patients and monitoring their condition.
A model was developed which accurately predicted the electricity consumed within a CCU based on patient types, medical devices used and working practice. The model could be adapted to enable it to be used within hospitals as part of their planning to meet carbon reduction targets.
气候变化有可能威胁人类健康和环境。医疗保健系统的管理者在平衡碳减排目标与患者护理的运营决策方面面临重大挑战。重症监护病房是能源的主要使用者，因此需要更多关于其碳足迹的证据。
作者探索了一种估算重症监护病房（CCU）内用电量和相关碳排放的方法。
开发并校准了一种自下而上的模型，该模型根据英国康沃尔的病例研究中治疗的患者类型和工作实践，预测 CCU 内消耗的电量和碳排放。
开发的模型能够根据实际电表读数预测 CCU 内消耗的电量，误差为 1%。CCU 内近一半的电力用于为患者提供护理和监测他们的病情。
开发了一种基于患者类型、使用的医疗设备和工作实践准确预测 CCU 内用电量的模型。该模型可以进行修改，以便在医院内用作其实现碳减排目标的规划的一部分。
