Developing and Enhancing the Quality of National Injury-Related Hospital Morbidity Data

卫生部门每年治疗伤害的直接费用估计为26亿美元，仅医院就高达16亿美元。住院损伤周围环境的高质量数据对于确定损伤风险因素、适当分配资源和评估损伤预防策略至关重要。本研究首先评估了外因损伤编码数据的特异性，并确定了编码数据质量不足的原因。基于这些发现，将针对临床医生、编码员和伤害研究人员实施一项有针对性的教育计划，以最终提高国家伤害相关医院发病率数据的质量。

The annual direct cost of treatment of injuries is estimated to be $2.6 billion across health sectors and $1.6 billion for hospitals alone. Quality data on the circumstances surrounding hospitalised injuries are vital for determining injury risk factors, allocating resources appropriately, and evaluating injury prevention strategies. This research firstly assesses the specificity of coded data for external causes of injury and identifies the reasons for a lack of quality in coded data. Based on these findings, a targeted educational program will be implemented for clinicians, coders, and injury researchers, to ultimately enhance the quality of national injury-related hospital morbidity data.