Improving knowledge of cyclist crashes based on hospital data including crash descriptions from open text fields

Introduction: In this study we explore the added value of bicycle crash descriptions from open text fields in hospital records Aarhus municipality Denmark. We also how data complements registered by police same area and time period. Method: The includes 5,313 Danish crashes, which 4,205 were at 1,078 police. All crashes occurred 2010 to 2015. performed an in-depth analysis on identify factors associated with each using four categories: bicyclist, road, bicycle, other party. employed chi-squared test compare distribution variables between A binary logit model was used estimate probability that a factor is identified, single-bicycle crash. Results: open-ended provide detailed information about not available records, including riding speed, inattention, clothing, specific road conditions, defects. alcohol curb had highest odds being identified relation Crash included larger number particularly slight injuries only. Conclusion: Municipality contributes better understanding due crash-associated as well crashes. Practical implication: Efforts improve access are needed basis for prevention.