Evaluating the Quality and Safety of In-Office Rhinologic Procedures: A YO-IFOS Pilot Study
Abstract
The primary objective of this pilot study was to identify which aspects of in-office rhinologic procedures (IORPs) warrant further attention and investigation in the future. The secondary objectives were to survey which IORPs are most common and to identify needs for education and training. A cross-sectional study was carried out following the Consensus-Based Checklist for Reporting of Survey Studies (CROSS). The survey collected demographic, organizational, quality, and safety aspects of IORPs and was electronically distributed to YO-IFOS members across five continents. A total of 194 surgeons completed the survey, and 172 respondents (88%) performed IORPs. Ninety-nine responders (51.5%) worked in an academic setting. Common procedures included powered polypectomy (48, 28.4%) and turbinate reduction (93, 54.1%). The main concerns were about patients’ tolerance (116, 76.3%) and about the safety of the procedure (102, 67.1%). The most important barriers to the diffusion of IORPs are concerns about the tolerance and safety of these procedures. It would be convenient to establish protocols for this type of procedure to ensure the greatest patient comfort based on evidence.
Read the paper
Related studies
- Understanding the factors influencing fall armyworm (Spodoptera frugiperda J.E. Smith) damage in African smallholder maize fields and quantifying its impact on yield. A case study in Eastern Zimbabwe
- Alarming situation of emerging H5 and H7 avian influenza and effective control strategies
- Livestock and food security: vulnerability to population growth and climate change
- Atmosphere–ocean oxygen and productivity dynamics during early animal radiations
- Characterization of the global distribution and diversified plasmid reservoirs of the colistin resistance gene mcr-9
- The global seroprevalence of Toxoplasma gondii in pigs: A systematic review and meta-analysis
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.