The carbon footprint of the operating room related to infection prevention measures: a scoping review.

BACKGROUND: Infection prevention measures are widely used in operating rooms (ORs). However, the extent to which they are at odds with ambitions to reduce the health sector's carbon footprint remains unclear. AIM: To synthesize the evidence base for the carbon footprint of commonly used infection prevention measures in the OR, namely medical devices and instruments, surgical attire and air treatment systems. METHODS: A scoping review of the international scientific literature was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. The search was performed in PubMed and Google Scholar. Articles published between 2010 and June 2021 on infection prevention measures, their impact on the health sector's carbon footprint, and risk for surgical site infections (SSIs) were included. FINDINGS: Although hospitals strive to reduce their carbon footprint, many infection prevention measures result in increased emissions. Evidence suggests that the use of disposable items instead of reusable items generally increases the carbon footprint, depending on sources of electricity. Controversy exists regarding the correlation between air treatment systems, contamination and the incidence of SSIs. The literature indicates that new air treatment systems consume more energy and do not necessarily reduce SSIs compared with conventional systems. CONCLUSION: Infection prevention measures in ORs can be at odds with sustainability. The use of new air treatment systems and disposable items generally leads to significant greenhouse gas emissions, and does not necessarily reduce the incidence of SSIs. Alternative infection prevention measures with less environmental impact are available. Implementation could be facilitated by embracing environmental impact as an additional dimension of quality of care, which should change current risk-based approaches for the prevention of SSIs.

Managing COVID-19 within and across health systems: why we need performance intelligence to coordinate a global response.

BACKGROUND: The COVID-19 pandemic is a complex global public health crisis presenting clinical, organisational and system-wide challenges. Different research perspectives on health are needed in order to manage and monitor this crisis. Performance intelligence is an approach that emphasises the need for different research perspectives in supporting health systems' decision-makers to determine policies based on well-informed choices. In this paper, we present the viewpoint of the Innovative Training Network for Healthcare Performance Intelligence Professionals (HealthPros) on how performance intelligence can be used during and after the COVID-19 pandemic. DISCUSSION: A lack of standardised information, paired with limited discussion and alignment between countries contribute to uncertainty in decision-making in all countries. Consequently, a plethora of different non-data-driven and uncoordinated approaches to address the outbreak are noted worldwide. Comparative health system research is needed to help countries shape their response models in social care, public health, primary care, hospital care and long-term care through the different phases of the pandemic. There is a need in each phase to compare context-specific bundles of measures where the impact on health outcomes can be modelled using targeted data and advanced statistical methods. Performance intelligence can be pursued to compare data, construct indicators and identify optimal strategies. Embracing a system perspective will allow countries to take coordinated strategic decisions while mitigating the risk of system collapse.A framework for the development and implementation of performance intelligence has been outlined by the HealthPros Network and is of pertinence. Health systems need better and more timely data to govern through a pandemic-induced transition period where tensions between care needs, demand and capacity are exceptionally high worldwide. Health systems are challenged to ensure essential levels of healthcare towards all patients, including those who need routine assistance. CONCLUSION: Performance intelligence plays an essential role as part of a broader public health strategy in guiding the decisions of health system actors on the implementation of contextualised measures to tackle COVID-19 or any future epidemic as well as their effect on the health system at large. This should be based on commonly agreed-upon standardised data and fit-for-purpose indicators, making optimal use of existing health information infrastructures. The HealthPros Network can make a meaningful contribution.