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

据估计，在所有卫生部门，每年治疗受伤的直接费用为26亿美元，仅医院一项就达16亿美元。有关住院伤害情况的高质量数据对于确定伤害风险因素、适当分配资源和评估伤害预防策略至关重要。这项研究首先评估了编码数据对外部伤害原因的特异性，并确定了编码数据缺乏质量的原因。根据这些发现，将对临床医生、编码员和损伤研究人员实施有针对性的教育计划，以最终提高全国与伤害相关的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.