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研究生: 金崇瑋
Chin, Tsung-Wei
論文名稱: 病毒性肝炎國際疾病分類編碼準確度研究:不同個案審定程序之比較
Validity study of International Classification of Diseases coding for viral hepatitis: a comparison of different algorithms
指導教授: 呂宗學
Lu, Tsung-Hsueh
學位類別: 碩士
Master
系所名稱: 醫學院 - 公共衛生研究所碩士在職專班
Graduate Institute of Public Health(on the job class)
論文出版年: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 99
中文關鍵詞: B型肝炎C型肝炎審定程序陽性預測值陰性預測值編碼準確度
外文關鍵詞: hepatitis B, hepatitis C, algorithm, coding accuracy rate
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  • 背景:許多研究使用國際疾病分類編碼找尋BC型肝炎病患,可是探討編碼準確度的研究相對較少,而且目前沒有研究比較第十版與第九版的準確度指標差異。
    目的:比較不同BC肝炎國際疾病分類編碼審定程序與版本的準確度指標差異以及相關影響因素。
    方法:本研究系統隨機抽樣南部一醫療體系穩定就醫病患一萬人。納入抽樣的病患條件為2015年至少四次就醫且年齡20歲以上個案,醫學中心院區抽樣6000人,區域醫院院區抽樣2500人,地區醫院院區抽樣1500人。透過2005至2019年電子病歷紀錄判斷病患是否有BC型肝炎的金字標準包括:有處方BC型肝炎藥物,相關檢驗報告陽性,臨床醫師在病歷有診斷。接著計算門診或住院診斷出現BC型肝炎編碼次數界定不同審定程序,分別計算敏感度、特異度、陽性預測值與陰性預測值。最後分析與這些準確度指標的相關影響因素與似然比。
    結果:本究確認出BC型肝炎病患分別為726與555位。審定程序單用門診出現B肝編碼診斷次數1次,2次與3次的陽性預測值是72%,77%與80%,敏感度是72%,69%與63%。審定程序如果加上住院診斷出現1次或門診出現2次,3次與4次的陽性預測值分別是77%,80%與81%,敏感度提高為76%,72%與69%。審定程序單用門診出現C肝編碼診斷次數1次,2次與3次的陽性預測值是88%,92%與94%,敏感度是75%,72%與68%。審定程序如果加上住院診斷出現1次或門診出現2次,3次與4次的陽性預測值分別是91%,93%與94%,敏感度提高為81%,77%與73%。由第九版改為第十版,以門診出現3次的審定程序為例,陽性預測值B肝由80%提高到90%,C肝由94%提高到99%。醫學中心或區域醫院資料、消化系內科個案、年紀大於40歲個案的編碼準確度都相對較高。
    結論:台灣健保申報資料C型肝炎國際疾病編碼編碼準確度優於B型肝炎,BC型肝炎編碼準確度在第十版都優於第九版。研究者如果只考量陽性預測值,審定程序只使用門診申報診斷次數3次就可以達到相當高的水準。如果還考慮不要太低敏感度,可以加上或出現1次住院診斷的條件。

    Background: Many studies used different algorithms of the International Classification of Diseases (ICD) codes to identify patients with hepatitis B and C virus infection (HBV and HCV); yet, relatively few validation studies on these algorithms and between Ninth Revision and Tenth Revision (ICD-9-CM and ICD-10-CM). Methods: We systematic randomly sampled 10,000 patients in a healthcare system in southern Taiwan, in which 6000 people from the medical center, 2500 from the regional hospital and 1500 from the district hospital. We reviewed electronic medical record system for years from 2005 to 2019 to determine whether the patient had HBV or HCV based on the prescription records, laboratory results, and text diagnosis by physicians. We then used the number of HBV or HCV ICD codes occurred in outpatient or inpatient claims data to define different algorithms. Different indicators of validity such as sensitivity, specificity, positive predictive value (PPV) and negative predictive value were calculated. Lastly, we examined associated factors with these indicators and likelihood ratios. Results: We identified 726 patients with HBV and 55 patients with HCV. The PPV for algorithm HBV ICD codes occurred in outpatient claims data at least 1, 2, and 3 times was 72%, 77%, and 80%, respectively and the sensitivity was 72%, 69%, and 63%, respectively. The PPV for algorithm HBV ICD codes occurred in inpatient claims data once or outpatient claims data at least 2, 3, and 4 times was 77%, 80%, and 81%, respectively and the sensitivity increased to 76%, 72%, and 69%, respectively. The PPV for algorithm HCV ICD codes occurred in outpatient claims data at least 1, 2, and 3 times was 88%, 92%, and 94%, respectively and the sensitivity was 75%, 72%, and 68%, respectively. The PPV for algorithm HCV ICD codes occurred in inpatient claims data once or outpatient claims data at least 2, 3, and 4 times was 91%, 93%, and 94%, respectively and the sensitivity increased to 81%, 77%, and 73%, respectively. Using algorithm at least 3 times of ICD codes in outpatient claims data as example, the PPV from ICD-9-CM to ICD-10-CM was 80% to 90% for HBV and 94% to 99% for HCV. The higher the level of hospital and the older the patients and patients visited gastroenterologists had better performance of ICD codes. Conclusion: The accuracy of HCV ICD coding was better than HBV coding. For both HBV and HCV, the accuracy was better in ICD-10-CM than in ICD-9-CM. If researchers considered only PPV, the algorithm using outpatient claims data with at least 3 times of HBV or HCV ICD codes could reach the relative high PPV level. If researchers also consider the sensitivity, we suggested of addition of at least 1 time of ICD code in inpatient claims in the algorithm.

    目錄 摘要 I 誌謝 VI 第一章、 前言 1 第一節 研究背景 1 第二節 研究目的 4 第二章、 文獻探討 5 第一節 判斷具B、C型肝炎之金字標準 5 第二節 台灣B、C型肝炎相關研究審定個案的編碼與程序 7 第三節 國內外B、C型肝炎國際疾病分類編碼準確度研究 7 第三章、 研究方法 14 第一節 資料來源 14 第二節 研究設計 14 第三節 研究對象及B、C型肝炎金字標準病患定義 15 第四節 B、C肝炎國際疾病分類編碼及審定程序 16 第五節 準確度評估指標 18 第六節 統計分析 19 第四章、 研究結果 20 第一節 抽樣個案描述性統計 20 第二節 審定程序準確度評估分析結果 22 第三節 ICD9-CM與ICD10-CM審定程序準確度評估分析結果差異 24 第四節 基本人口學變項間之準確度評估分析結果比較 27 第五節 B、C型肝炎金字標準病患門診國際疾病分類編碼情況分析 31 第六節 B、C型肝炎金字標準病患國際疾病分類編碼正確與否間之人口學特性之差異 32 第七節 B、C型肝炎金字標準病患正確編碼與錯誤編碼診次之就醫性特性分析 35 第五章、 討論 41 第一節 奇美醫療體系B、C型肝炎與全國比較 41 第二節 不同審定程序差異與最佳審定程序 42 第三節 編碼準確度之影響因子與準確度改善建議 45 第四節 研究優點及限制 47 第六章、 結論 49 第七章、 參考文獻 50   圖目錄 圖1 2001-2020間運用健保資料庫發表之文章數統計圖 54 圖2 2004-2020年間運用健保資料庫發表之B型肝炎文章數統計圖 55 圖4 B、C型肝炎金字標準病患判定流程圖 57 圖5 編碼準確度四個指標的四方格圖 58 圖6 B型肝炎金字標準病患判定流程圖 59 圖7 C型肝炎金字標準病患判定流程圖 60 圖8 B型肝炎審定程序準確度分析結果折線圖 61 圖9 C型肝炎審定程序準確度分析結果折線圖 62 圖10 B型肝炎國際疾病分類編碼在男性個案中之fagan nomogram 63 圖11 B型肝炎國際疾病分類編碼在女性個案中之fagan nomogram 64 圖12 B型肝炎國際疾病分類編碼在20-39歲個案中之fagan nomogram 65 圖13 B型肝炎國際疾病分類編碼在40-59歲個案中之fagan nomogram 67 圖14 B型肝炎國際疾病分類編碼在60-79歲個案中之fagan nomogram 68 圖15 B型肝炎國際疾病分類編碼在80歲以上個案中之fagan nomogram 69 圖16 B型肝炎國際疾病分類編碼在自永康院區抽樣個案中之fagan nomogram 70 圖17 B型肝炎國際疾病分類編碼在自柳營院區抽樣個案中之fagan nomogram 71 圖18 B型肝炎國際疾病分類編碼在自佳里院區抽樣個案中之fagan nomogram 72 圖19 C型肝炎國際疾病分類編碼在男性個案中之fagan nomogram 73 圖20 C型肝炎國際疾病分類編碼在女性個案中之fagan nomogram 74 圖21 C型肝炎國際疾病分類編碼在20-39歲個案中之fagan nomogram 75 圖22 C型肝炎國際疾病分類編碼在40-59歲個案中之fagan nomogram 76 圖23 C型肝炎國際疾病分類編碼在60-79歲個案中之fagan nomogram 77 圖24 C型肝炎國際疾病分類編碼在80歲以上個案中之fagan nomogram 78 圖25 C型肝炎國際疾病分類編碼在自永康院區抽樣個案中之fagan nomogram 79 圖26 C型肝炎國際疾病分類編碼在自柳營院區抽樣個案中之fagan nomogram 80 圖27 C型肝炎國際疾病分類編碼在自柳營院區抽樣個案中之fagan nomogram 81 表1 B、C型肝炎國際疾病分類標準第九版及第十版對照表 82   表目錄 表2 奇美醫院B型肝炎治療用藥一覽表 83 表3 奇美醫院C型肝炎治療用藥一覽表 84 表4 研究個案基本人口學統計 85 表5 各人口學變項間個案數及盛行率統計 86 表6 B型肝炎審定程序準確度分析結果 87 表7 C型肝炎審定程序準確度分析結果 89 表8 B型肝炎ICD9-CM與ICD10-CM審定程序準確度分析結果差異 90 表9 C型肝炎ICD9-CM與ICD10-CM審定程序準確度分析結果差異 92 表10 B型肝炎國際疾病分類編碼在各基本人口學變項間之準確度評估分析結果比較 93 表11 C型肝炎國際疾病分類編碼在各基本人口學變項間之準確度評估分析結果比較 94 表12 確診後國際疾病分類編碼及後續就診國際疾病分類編碼情形分析 95 表13 B型肝炎金字標準病患有正確編碼個案及錯誤編碼個案之人口學分布 96 表14 C型肝炎金字標準病患有正確編碼個案及錯誤編碼個案之人口學分布 97 表15 B型肝炎金字標準病患正確編碼與錯誤編碼診次之就醫性特性分佈 98 表16 C型肝炎金字標準病患正確編碼與錯誤編碼診次之就醫性特性分佈 99

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