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Sepsis policy, guidelines and standards in Canada: a jurisdictional scoping review protocol

Por: Sheikh · F. · Chechulina · V. · Daneman · N. · Garber · G. E. · Hendrick · K. · Kissoon · N. · Loubani · O. · Russell · K. · Fox-Robichaud · A. · Schwartz · L. · Barrett · K.
Introduction

To our knowledge, this study is the first to identify and describe current sepsis policies, clinical practice guidelines, and health professional training standards in Canada to inform evidence-based policy recommendations.

Methods and analysis

This study will be designed and reported according to the Arksey and O’Malley framework for scoping reviews and the Preferred Reporting Items for Systematic Review and Meta-Analyses Extension for Scoping Reviews. EMBASE, CINAHL, Medline, Turning Research Into Practice and Policy Commons will be searched for policies, clinical practice guidelines and health professional training standards published or updated in 2010 onwards, and related to the identification, management or reporting of sepsis in Canada. Additional sources of evidence will be identified by searching the websites of Canadian organisations responsible for regulating the training of healthcare professionals and reporting health outcomes. All potentially eligible sources of evidence will be reviewed for inclusion, followed by data extraction, independently and in duplicate. The included policies will be collated and summarised to inform future evidence-based sepsis policy recommendations.

Ethics and dissemination

The proposed study does not require ethics approval. The results of the study will be submitted for publication in a peer-reviewed journal and presented at local, national and international forums.

Extreme temperatures are associated with increased cardiovascular mortality

Por: Barrett · D.

Commentary on: Alahmad B, Khraishah H, Royé D, Vicedo-Cabrera AM, Guo Y, Papatheodorou SI, Achilleos S, Acquaotta F, Armstrong B, Bell ML, Pan SC, de Sousa Zanotti Stagliorio Coelho M, Colistro V, Dang TN, Van Dung D, De' Donato FK, Entezari A, Guo YL, Hashizume M, Honda Y, Indermitte E, Íñiguez C, Jaakkola JJK, Kim H, Lavigne E, Lee W, Li S, Madureira J, Mayvaneh F, Orru H, Overcenco A, Ragettli MS, Ryti NRI, Saldiva PHN, Scovronick N, Seposo X, Sera F, Silva SP, Stafoggia M, Tobias A, Garshick E, Bernstein AS, Zanobetti A, Schwartz J, Gasparrini A, Koutrakis P. Associations Between Extreme Temperatures and Cardiovascular Cause-Specific Mortality: Results From 27 Countries. Circulation. 2023 Jan 3;147(1):35-46. doi: 10.1161/CIRCULATIONAHA.122.061832. Epub 2022 Dec 12.

Implications for practice and research

  • Nurses need to be aware that extreme temperatures—whether hot or cold—increase the likelihood of death from cardiovascular causes.

  • More...

  • Induction, deduction and abduction

    Por: Barrett · D. · Younas · A.

    Researchers often refer to the type of ‘reasoning’ that they have used to support their analysis and reach conclusions within their study. For example, Krick and colleagues completed a study that supported the development of an outcome framework for measuring the effectiveness of digital nursing technologies.1 They reported completing the analysis through combining ‘an inductive and deductive approach’ (p1), but what do these terms mean? How can these methods of reasoning support nursing practice, and guide the development and appraisal of research evidence?

    This article will explore inductive and deductive reasoning and their place in nursing research. We will also explore a third approach to reasoning—abductive reasoning—which is arguably less well-known than induction and deduction, but just as prevalent and important in nursing practice and nursing research.

    Inductive reasoning

    Induction, or inductive reasoning, involves the identification of cues and the collection of data to develop general...

    Using microbiological data to improve the use of antibiotics for respiratory tract infections: A protocol for an individual patient data meta-analysis

    by Irene Boateng, Beth Stuart, Taeko Becque, Bruce Barrett, Jennifer Bostock, Robin Bruyndonckx, Lucy Carr-Knox, Emily J. Ciccone, Samuel Coenen, Mark Ebell, David Gillespie, Gail Hayward, Katarina Hedin, Kerenza Hood, Tin Man Mandy Lau, Paul Little, Dan Merenstein, Edgar Mulogo, Jose Ordóñez-Mena, Peter Muir, Kirsty Samuel, Nader Shaikh, Sharon Tonner, Alike W. van der Velden, Theo Verheij, Kay Wang, Alastair D. Hay, Nick Francis

    Background

    Resistance to antibiotics is rising and threatens future antibiotic effectiveness. ‘Antibiotic targeting’ ensures patients who may benefit from antibiotics receive them, while being safely withheld from those who may not. Point-of-care tests may assist with antibiotic targeting by allowing primary care clinicians to establish if symptomatic patients have a viral, bacterial, combined, or no infection. However, because organisms can be harmlessly carried, it is important to know if the presence of the virus/bacteria is related to the illness for which the patient is being assessed. One way to do this is to look for associations with more severe/prolonged symptoms and test results. Previous research to answer this question for acute respiratory tract infections has given conflicting results with studies has not having enough participants to provide statistical confidence.

    Aim

    To undertake a synthesis of IPD from both randomised controlled trials (RCTs) and observational cohort studies of respiratory tract infections (RTI) in order to investigate the prognostic value of microbiological data in addition to, or instead of, clinical symptoms and signs.

    Methods

    A systematic search of Cochrane Central Register of Controlled Trials, Ovid Medline and Ovid Embase will be carried out for studies of acute respiratory infection in primary care settings. The outcomes of interest are duration of disease, severity of disease, repeated consultation with new/worsening illness and complications requiring hospitalisation. Authors of eligible studies will be contacted to provide anonymised individual participant data. The data will be harmonised and aggregated. Multilevel regression analysis will be conducted to determine key outcome measures for different potential pathogens and whether these offer any additional information on prognosis beyond clinical symptoms and signs.

    Trial registration

    PROSPERO Registration number: CRD42023376769.

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