Muzammil H Syed, Mohammed Al-Omran, Jean Jacob-Brassard, Joel G Ray, Mohamad A Hussain, Muhammad Mamdani, Charles de Mestral
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Three alternative coding approaches were also considered: MRDx code for lower-limb osteomyelitis (osteomyelitis group); lower-limb ulceration (LLU group); or lower-limb atherosclerotic gangrene (atherosclerosis group)-each in conjunction with a non-MRDx DSFUG code on the same DAD record. From all eligible DAD records, random samples were drawn for each coding group. DAD records were independently compared by a masked reviewer who manually abstracted data from the entire hospital record (reference standard). The PPV and 95% CI were generated.</p><p><strong>Results: </strong>Out of 1,460 hospitalizations, a total of 300, 50, 33 and seven records were included from the DSFUG, osteomyelitis, LLU and atherosclerosis samples, respectively. Compared to the reference standard, the PPV for all 390 records was 88.5% (95% CI 84.9 to 91.5). The DSFUG group had the highest PPV (90.0%, 95% CI 86.0 to 93.2), followed by the atherosclerosis (85.7%, 95% CI 42.1 to 99.6), LLU (84.9%, 95% CI 68.1 to 94.9) and osteomyelitis (82.0%, 95% CI 68.6 to 91.4) groups.</p><p><strong>Conclusion: </strong>Based on data from a Canadian tertiary care hospital, the specified coding algorithms can be used to identify and study the management and outcomes of people hospitalized with a DFU in Ontario.</p>","PeriodicalId":50683,"journal":{"name":"Clinical and Investigative Medicine","volume":"44 4","pages":"E11-16"},"PeriodicalIF":1.2000,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"ICD-10 Diagnostic Coding for Identifying Hospitalizations Related to a Diabetic Foot Ulcer.\",\"authors\":\"Muzammil H Syed, Mohammed Al-Omran, Jean Jacob-Brassard, Joel G Ray, Mohamad A Hussain, Muhammad Mamdani, Charles de Mestral\",\"doi\":\"10.25011/cim.v44i4.37592\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To estimate the positive predictive value (PPV) of Canadian ICD-10 diagnostic coding for the identification of hospitalization related to a diabetic foot ulcer (DFU).</p><p><strong>Methods: </strong>Hospitalizations related to a neuropathic and/or ischemic DFU were identified from the Discharge Abstract Database (DAD) records of a single Canadian tertiary care hospital between April 1, 2002 and March 31, 2019. The first coding approach required a most responsible diagnosis (MRDx) code for diabetes-specific foot ulceration or gangrene (DSFUG group). Three alternative coding approaches were also considered: MRDx code for lower-limb osteomyelitis (osteomyelitis group); lower-limb ulceration (LLU group); or lower-limb atherosclerotic gangrene (atherosclerosis group)-each in conjunction with a non-MRDx DSFUG code on the same DAD record. From all eligible DAD records, random samples were drawn for each coding group. DAD records were independently compared by a masked reviewer who manually abstracted data from the entire hospital record (reference standard). The PPV and 95% CI were generated.</p><p><strong>Results: </strong>Out of 1,460 hospitalizations, a total of 300, 50, 33 and seven records were included from the DSFUG, osteomyelitis, LLU and atherosclerosis samples, respectively. Compared to the reference standard, the PPV for all 390 records was 88.5% (95% CI 84.9 to 91.5). 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引用次数: 1
摘要
目的:评估加拿大ICD-10诊断编码对糖尿病足溃疡(DFU)相关住院诊断的阳性预测值(PPV)。方法:从2002年4月1日至2019年3月31日加拿大一家三级医院的出院摘要数据库(DAD)记录中确定与神经性和/或缺血性DFU相关的住院情况。第一种编码方法需要对糖尿病特异性足部溃疡或坏疽(DSFUG组)进行最负责任的诊断(MRDx)编码。还考虑了三种替代编码方法:下肢骨髓炎的MRDx编码(骨髓炎组);下肢溃疡(LLU组);或下肢动脉粥样硬化性坏疽(动脉粥样硬化组)-每一个都与同一DAD记录上的非mrdx DSFUG代码一起。从所有符合条件的DAD记录中,为每个编码组随机抽取样本。DAD记录由一名蒙面审稿人独立比较,该审稿人手动从整个医院记录(参考标准)中提取数据。生成PPV和95% CI。结果:在1460例住院病例中,分别从DSFUG、骨髓炎、LLU和动脉粥样硬化样本中纳入了300例、50例、33例和7例记录。与参考标准相比,所有390份记录的PPV为88.5% (95% CI为84.9 ~ 91.5)。DSFUG组PPV最高(90.0%,95% CI 86.0 ~ 93.2),其次是动脉粥样硬化组(85.7%,95% CI 42.1 ~ 99.6)、LLU组(84.9%,95% CI 68.1 ~ 94.9)和骨髓炎组(82.0%,95% CI 68.6 ~ 91.4)。结论:基于加拿大一家三级医院的数据,指定的编码算法可用于识别和研究安大略省DFU住院患者的管理和预后。
ICD-10 Diagnostic Coding for Identifying Hospitalizations Related to a Diabetic Foot Ulcer.
Purpose: To estimate the positive predictive value (PPV) of Canadian ICD-10 diagnostic coding for the identification of hospitalization related to a diabetic foot ulcer (DFU).
Methods: Hospitalizations related to a neuropathic and/or ischemic DFU were identified from the Discharge Abstract Database (DAD) records of a single Canadian tertiary care hospital between April 1, 2002 and March 31, 2019. The first coding approach required a most responsible diagnosis (MRDx) code for diabetes-specific foot ulceration or gangrene (DSFUG group). Three alternative coding approaches were also considered: MRDx code for lower-limb osteomyelitis (osteomyelitis group); lower-limb ulceration (LLU group); or lower-limb atherosclerotic gangrene (atherosclerosis group)-each in conjunction with a non-MRDx DSFUG code on the same DAD record. From all eligible DAD records, random samples were drawn for each coding group. DAD records were independently compared by a masked reviewer who manually abstracted data from the entire hospital record (reference standard). The PPV and 95% CI were generated.
Results: Out of 1,460 hospitalizations, a total of 300, 50, 33 and seven records were included from the DSFUG, osteomyelitis, LLU and atherosclerosis samples, respectively. Compared to the reference standard, the PPV for all 390 records was 88.5% (95% CI 84.9 to 91.5). The DSFUG group had the highest PPV (90.0%, 95% CI 86.0 to 93.2), followed by the atherosclerosis (85.7%, 95% CI 42.1 to 99.6), LLU (84.9%, 95% CI 68.1 to 94.9) and osteomyelitis (82.0%, 95% CI 68.6 to 91.4) groups.
Conclusion: Based on data from a Canadian tertiary care hospital, the specified coding algorithms can be used to identify and study the management and outcomes of people hospitalized with a DFU in Ontario.
期刊介绍:
Clinical and Investigative Medicine (CIM), publishes original work in the field of Clinical Investigation. Original work includes clinical or laboratory investigations and clinical reports. Reviews include information for Continuing Medical Education (CME), narrative review articles, systematic reviews, and meta-analyses.