Impact of developing a multidisciplinary coded dataset standard on administrative data accuracy for septoplasty, septorhinoplasty and nasal trauma surgery

S. A. R. Nouraei, A. Hudovsky, J. Virk, H. Saleh
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引用次数: 5

Abstract

Abstract Objective: This study aimed to develop a multidisciplinary coded dataset standard for nasal surgery and to assess its impact on data accuracy. Method: An audit of 528 patients undergoing septal and/or inferior turbinate surgery, rhinoplasty and/or septorhinoplasty, and nasal fracture surgery was undertaken. Results: A total of 200 septoplasties, 109 septorhinoplasties, 57 complex septorhinoplasties and 116 nasal fractures were analysed. There were 76 (14.4 per cent) changes to the primary diagnosis. Septorhinoplasties were the most commonly amended procedures. The overall audit-related income change for nasal surgery was £8.78 per patient. Use of a multidisciplinary coded dataset standard revealed that nasal diagnoses were under-coded; a significant proportion of patients received more precise diagnoses following the audit. There was also significant under-coding of both morbidities and revision surgery. Conclusion: The multidisciplinary coded dataset standard approach can improve the accuracy of both data capture and information flow, and, thus, ultimately create a more reliable dataset for use outcomes and health planning.
开发多学科编码数据集标准对鼻中隔成形术、鼻中隔成形术和鼻外伤手术管理数据准确性的影响
摘要目的:本研究旨在建立一个多学科编码的鼻外科数据集标准,并评估其对数据准确性的影响。方法:对528例接受鼻中隔和/或下鼻甲手术、鼻成形术和/或鼻中隔成形术及鼻骨折手术的患者进行回顾性分析。结果:共分析鼻中隔成形术200例,鼻中隔成形术109例,复杂鼻中隔成形术57例,鼻骨折116例。有76例(14.4%)改变了最初的诊断。鼻中隔成形术是最常见的改良手术。与审计相关的鼻手术收入总体变化为每位患者8.78英镑。多学科编码数据集标准的使用表明,鼻腔诊断编码不足;相当比例的患者在审计后得到了更精确的诊断。发病率和翻修手术也有显著的低编码。结论:多学科编码数据集标准方法可以提高数据捕获和信息流的准确性,从而最终为使用结果和健康规划创建更可靠的数据集。
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