Patel, Nina

Background: Access to high-quality airway equipment is critical for effective otolaryngological and emergency care. In sub-Saharan Africa (SSA), challenges in the procurement infrastructure may hinder equipment availability, impacting patient outcomes. Given the paucity of literature investigating equipment procurement in SSA, this study aims to map out the multilevel barriers to procurement of airway equipment in SSA to inform opportunities for improvement. Methods: A qualitative study design was employed using semi-structured interviews and open-ended survey responses. Participants included otolaryngologists in SSA, manufacturing company representatives and international policymakers, selected through purposive sampling to ensure representation of various roles in the procurement process. Six interviews, one focus group and six survey responses with regional healthcare providers (n = 13), manufacturing representatives (n = 3) and international policymakers (n = 2) explored supply chain dynamics, regulatory challenges, manufacturing capabilities, financial constraints and policy frameworks. Data were analysed using thematic analysis to identify recurrent themes and interrelationships. Results: Systemic barriers exist in the procurement process, including fragmented supply chains, inconsistent regulatory enforcement, limited local manufacturing capacity and insufficient funding mechanisms. Otolaryngologists emphasised frequent delays in equipment availability, while manufacturers reported logistical challenges and regulatory hurdles. Policymakers noted gaps in infrastructure and regional coordination. Emerging themes suggest opportunities for streamlining procurement processes, fostering local production and enhancing collaboration to improve supply chain efficiency. Conclusion: This study underscores the multifaceted challenges in airway equipment procurement in SSA and highlights the need for integrated approaches involving stakeholders across the supply chain. Contribution: Findings provide actionable insights to inform policy development and capacity-building initiatives with the goal of enhancing access to life-saving airway equipment and improving healthcare outcomes.

Sub-Saharan Africa (SSA), home to over 1 billion people, has only one paediatric otolaryngology fellowship program and nine fellowship-trained paediatric Otolaryngology Head and Neck Surgery (OHNS) specialists covering seven countries. Seven of these specialists estimated an average of 40+ patients per month are in need of critical surgical airway management in their respective countries and that 2–25 deaths per year (mainly paediatric) occur in their country from lack of access to foreign body removal equipment. Investing in paediatric airway infrastructure and capacity would largely benefit the health system in SSA, where the current lack of equipment alone leads to unmeasured morbidity and mortality. As a region of the world with the largest paediatric populations, sub-Saharan Africa’s need is all the more pressing given the disproportionately low number of medical specialists, institutions and resources. Collaborative approaches in procurement and maintenance of high-quality, cost-effective equipment are crucially desirable factors in both low- and middle-income countries (LMICs) and high-income countries (HICs). We, as the Global OHNS Initiative, urge for multi-stakeholder engagement and collaboration to forge lasting change.

Abstract Rationale Usual interstitial pneumonia (UIP) is the defining morphology of idiopathic pulmonary fibrosis (IPF). Guidelines for IPF diagnosis conditionally recommend surgical lung biopsy for histopathology diagnosis of UIP when radiology and clinical context are not definitive. A “molecular diagnosis of UIP” in transbronchial lung biopsy, the Envisia Genomic Classifier, accurately predicted histopathologic UIP. Objectives We evaluated the combined accuracy of the Envisia Genomic Classifier and local radiology in the detection of UIP pattern. Methods Ninety-six patients who had diagnostic lung pathology as well as a transbronchial lung biopsy for molecular testing with Envisia Genomic Classifier were included in this analysis. The classifier results were scored against reference pathology. UIP identified on high-resolution computed tomography (HRCT) as documented by features in local radiologists’ reports was compared with histopathology. Measurements and Main Results In 96 patients, the Envisia Classifier achieved a specificity of 92.1% (confidence interval [CI],78.6–98.3%) and a sensitivity of 60.3% (CI, 46.6–73.0%) for histology-proven UIP pattern. Local radiologists identified UIP in 18 of 53 patients with UIP histopathology, with a sensitivity of 34.0% (CI, 21.5–48.3%) and a specificity of 96.9% (CI, 83.8–100%). In conjunction with HRCT patterns of UIP, the Envisia Classifier results identified 24 additional patients with UIP (sensitivity 79.2%; specificity 90.6%). Conclusions In 96 patients with suspected interstitial lung disease, the Envisia Genomic Classifier identified UIP regardless of HRCT pattern. These results suggest that recognition of a UIP pattern by the Envisia Genomic Classifier combined with HRCT and clinical factors in a multidisciplinary discussion may assist clinicians in making an interstitial lung disease (especially IPF) diagnosis without the need for a surgical lung biopsy.