Faculty of Health Sciences and Medicine, University of Lucerne, Luzern, Switzerland
Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
BMJ Open. 2023 Aug 10;13(8):e075660. doi: 10.1136/bmjopen-2023-075660.
Retained foreign objects (RFOs) after surgery can cause harm to patients and negatively impact clinician and hospital reputation. RFO incidence based on administrative data is used as a metric of patient safety. However, it is unknown how differences in coding intensity across hospitals and years impact the number of reported RFO cases. The objective of this study is to investigate the temporal trend of RFO incidence at a national level and the impact of changes in coding practices across hospitals and years.
Retrospective study using administrative hospital data.
21 805 005 hospitalisations at 354 Swiss acute-care hospital sites PRIMARY AND SECONDARY OUTCOME MEASURES: RFO incidence over time, the distribution of RFOs across hospitals and the impact of differences in coding intensity across the hospitals and years.
The annual RFO rate more than doubled between 2000 and 2019 (from 4.6 to 11.8 with a peak of 17.0 in 2014) and coincided with increasing coding intensity (mean number of diagnoses: 3.4, SD 2.0 in 2000; 7.40, SD 5.2 in 2019). After adjusting for patient characteristics, two regression models confirmed that coding intensity was a significant predictor of both whether RFO cases were reported at the hospital level (OR: 12.94; 95% CI: 7.38 to 22.68) and the number of reported cases throughout the period at the national level (Incidence Rate Ratio (IRR): 5.95; 95% CI: 1.11 to 31.82).
Our results raise concerns about the use of RFO incidence for comparing hospitals, countries and years. Utilising coding indices could be employed to mitigate the effects of coding intensity on RFO rates.
手术后遗留的异物(RFO)会对患者造成伤害,并对临床医生和医院的声誉产生负面影响。基于行政数据的 RFO 发生率被用作患者安全的指标。然而,目前尚不清楚医院之间和年份之间编码强度的差异如何影响报告的 RFO 病例数量。本研究的目的是调查全国范围内 RFO 发生率的时间趋势,以及医院之间和年份之间编码实践变化的影响。
使用行政医院数据的回顾性研究。
354 家瑞士急性护理医院的 21805005 例住院患者
随时间推移的 RFO 发生率、RFO 在医院之间的分布以及医院之间和年份之间编码强度差异的影响。
2000 年至 2019 年期间,RFO 的年发生率翻了一番以上(从 4.6 增加到 11.8,2014 年达到峰值 17.0),同时编码强度也在增加(2000 年平均诊断数为 3.4,标准差为 2.0;2019 年为 7.40,标准差为 5.2)。在校正患者特征后,两个回归模型均证实编码强度是医院报告 RFO 病例的重要预测因素(OR:12.94;95%CI:7.38 至 22.68),以及整个时期全国报告病例数量的重要预测因素(发病率比(IRR):5.95;95%CI:1.11 至 31.82)。
我们的结果引起了对使用 RFO 发生率来比较医院、国家和年份的关注。利用编码指数可以减轻编码强度对 RFO 发生率的影响。