The carbon footprint of healthcare settings: A systematic review.

Healthcare systems are responsible for 4%-5% of the emissions of greenhouse gases worldwide. The Greenhouse Gas Protocol divides carbon emissions into three scopes: scope 1 or direct emissions secondary to energy use; scope 2 or indirect emissions secondary to purchased electricity; and scope 3 for the rest of indirect emissions. AIM: To describe the environmental impact of health services. DESIGN: A systematic review was conducted in the Medline, Web of Science, CINAHL, and Cochrane databases. Studies that focused their analysis on a functional healthcare unit and which included. This review was conducted from August to October 2022. RESULTS: The initial electronic search yielded a total of 4368 records. After the screening process according to the inclusion criteria, 13 studies were included in this review. The reviewed studies found that between 15% and 50% of the total emissions corresponded to scopes 1 and 2 emissions, whereas scope 3 emissions ranged between 50% and 75% of the total emissions. Disposables, equipment (medical and non-medical) and pharmaceuticals represented the higher percentage of emissions in scope 3. CONCLUSION: Most of the emissions corresponded to scope 3, which includes the indirect emission occurring as a consequence of the healthcare activity, as this scope includes a wider range of emission sources than the other scopes. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Interventions should be carried out by the healthcare organizations responsible of Greenhouse Gas emissions, and also every single individual that integrates them should make changes. The use of evidence-based approaches to identify carbon hotspots and implement the most effective interventions in the healthcare setting could lead to a significant reduction of carbon emissions. IMPACT: This literature review highlights the impact that healthcare systems have on climate change and the importance of adopting and carrying out interventions to prevent its fast development. REPORTING METHOD: This review adhered to PRISMA guideline. PRISMA 2020 is a guideline designed for systematic reviews of studies that analyse the effects of heath interventions, and aim is to help authors improve the reporting of systematic review and meta-analyses. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.

Environmentally sustainable emergency medicine.

Emergency clinicians worldwide are demonstrating increasing concern about the effect of climate change on the health of the populations they serve. The movement for sustainable healthcare is being driven by the need to address the climate emergency. Globally, healthcare contributes significantly to carbon emissions, and the healthcare sector has an important role to play in contributing to decarbonisation of the global economy. In this article, we consider the implications for emergency medicine of climate change, and suggest ways to improve environmental sustainability within emergency departments. We identify examples of sustainable clinical practice, as well as outlining research proposals to address the knowledge gap that currently exists in the area of provision of environmentally sustainable emergency care.

Association between nicotinic acetylcholine receptor single nucleotide polymorphisms and smoking cessation.

INTRODUCTION: The α4ß2 nicotinic receptor is of central importance in tobacco dependence, while the homomeric α7 receptor may also play a role. In this candidate gene study, we examine the association between 8 single nucleotide polymorphisms (SNPs) in genes coding for nicotinic acetylcholine receptor subunits α4 (rs1044396, rs2273504, rs2236196, and rs2273502), α7 (rs2133965 and rs4779969), and ß2 (rs2072660 and rs2072661) and smoking abstinence in a cohort of quitters enrolled in a clinical trial of behavioral support. METHODS: Data were obtained from the "Patch in Practice" study, involving 925 smokers in the United Kingdom. All participants were given an 8-week course of 15 mg of transdermal nicotine replacement therapy and blood was taken for genotyping. RESULTS: Logistic regression analyses assessed the association between each selected SNP and smoking abstinence at 4, 12, 26, and 52 weeks. There were no statistically significant associations with smoking cessation success or nicotine intake assessed by plasma cotinine levels. However, rs2273502 was associated with a consistent (though nonsignificant) increase in the odds of abstinence. CONCLUSIONS: There was no compelling evidence that these SNPs were associated with a reduced or higher chance of abstinence. However, rs2273502 may be worth investigating in future studies.