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ObjectiveManagement of the difficult airway can be a challenging process, which necessitates actionable recommendations from well‐established guidelines. Herein, clinical practice guideline (CPG) quality is evaluated using the Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument.Study DesignA systematic literature search was performed using Scopus, EMBASE, and MEDLINE via PubMed.SettingLiterature database.MethodsData were abstracted from relevant guidelines and appraised by 4 expert reviewers in the 6 domains of quality defined by AGREE II. Intraclass correlation coefficients (ICC) were calculated across domains to quantify interrater reliability.ResultsTwelve guidelines met the inclusion criteria. With a mean quality score of 83.1%, the highest quality guideline was authored by the American Society of Anesthesiologists (ASA). Low‐quality content was observed in CPGs authored by the Japanese Society of Anesthesiologists (JSA) and the Chinese Collaboration Group for Emergency Airway Management (CCGEAM). Overall, deficits were most pronounced in domains describing the involvement of stakeholders, developmental rigor, and editorial independence. These findings were consistent among the panel of independent reviewers, with high ICC inter‐rater reliability scores of 58.0% to 70.0% for the referenced domains.ConclusionBy providing a comprehensive appraisal of guidelines, this report may serve as a reference for clinicians seeking to understand and improve upon the developmental quality of difficult airway management resources. According to AGREE II criteria for the quality of the guideline creation process, the 2022 ASA guideline outperforms its predecessors.

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We examined access to MRI in Sub-Saharan Africa to provide a novel framework to address MRI needs. A 68-question needs assessment survey was distributed to collaborators, radiologists and radiographers in Africa, yielding 158 unique responses. Survey responses were analyzed to provide insight into challenges and opportunities for MRI access. Geographical information systems (GIS) were applied to responses from Nigeria to model access to high-value MRI. To our knowledge, this is the first study that used GIS mapping to estimate MRI access. This novel approach can be applied to low-resource settings globally to provide a comprehensive framework to understand MRI access.