Neurointerventional surveys between 2000 and 2023: a systematic review

Abstract

BackgroundSurveys are increasingly used in neurointervention to gauge physicians’ and patients’ attitudes, practice patterns, and ‘real-world’ treatment strategies, particularly in conditions for which few, or no evidence-based, recommendations exist. While survey-based studies can provide valuable insights into real-world problems and management strategies, there is an inherent risk of bias.ObjectiveTo assess key themes, sample characteristics, response metrics, and report frequencies of quality indicators of neurointerventional surveys.MethodsA systematic review compliant with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was performed. The PubMed database was searched for neurointerventional surveys published between 2000 and 2023. Survey topics, design, respondent characteristics, and survey quality criteria suggested by the Consensus-Based Checklist for Reporting of Survey Studies (CROSS) were assessed and described using descriptive statistics. Response rates and numbers of participants were further assessed for their dependence on sample characteristics and survey methodologies.ResultsA total of 122 surveys were included in this analysis. The number of surveys published each year increased steeply between 2000 (n=1) and 2023 (n=14). The most common survey topics were stroke (51/122, 41.8%) and aneurysm treatment (49/122, 40.2%). The median response rate was 58.5% (IQR=30.4–86.3), with a median number of respondents of 79 (IQR=50–201). Sixty-eight of 122 (55.7%) surveys published the questionnaire used for data collection. Only a subset of studies reported response rates (n=89, 73%), data collection time period (n=91, 74.6%), and strategies to prevent duplicate responses (n=57, 46.7%).ConclusionSurveys are increasingly used by neurointerventional researchers, particularly to assess real-world practice patterns in endovascular stroke and aneurysm treatment. Adapting best-practice guidelines like the CROSS checklist might improve homogeneity and quality in neurointerventional survey research.