Accuracy of surgical complication rate estimation using ICD-10 codes

被引:53
|
作者
Storesund, A. [1 ]
Haugen, A. S. [1 ]
Hjortas, M. [7 ]
Nortvedt, M. W. [3 ,4 ]
Flaatten, H. [1 ,5 ]
Eide, G. E. [2 ,6 ]
Boermeester, M. A. [8 ]
Sevdalis, N. [9 ]
Softeland, E. [1 ,5 ]
机构
[1] Haukeland Hosp, Dept Anaesthesia & Intens Care, Jonas Liesvei 65, N-5021 Bergen, Norway
[2] Haukeland Hosp, Clin Res Ctr, Bergen, Norway
[3] Western Norway Univ Appl Sci, Ctr Evidence Based Practice, Bergen, Norway
[4] City Bergen, Dept Publ Hlth & Serv, Bergen, Norway
[5] Univ Bergen, Dept Clin Med, Bergen, Norway
[6] Univ Bergen, Dept Global Publ Hlth & Primary Care, Bergen, Norway
[7] Forde Cent Hosp, Dept Surg, Forde, Norway
[8] Acad Med Ctr Amsterdam, Dept Surg, Amsterdam, Netherlands
[9] Kings Coll London, Ctr Implementat Sci, Hlth Serv & Populat Res Dept, London, England
关键词
HOSPITAL ADVERSE EVENTS; ADMINISTRATIVE DATA; SAFETY; VALIDATION; DIAGNOSIS; CHECKLIST; STROKE; TIME;
D O I
10.1002/bjs.10985
中图分类号
R61 [外科手术学];
学科分类号
摘要
Background: The ICD-10 codes are used globally for comparison of diagnoses and complications, and are an important tool for the development of patient safety, healthcare policies and the health economy. The aim of this study was to investigate the accuracy of verified complication rates in surgical admissions identified by ICD-10 codes and to validate these estimates against complications identified using the established Global Trigger Tool (GTT) methodology. Methods: This was a prospective observational study of a sample of surgical admissions in two Norwegian hospitals. Complications were identified and classified by two expert GTT teams who reviewed patients' medical records. Three trained reviewers verified ICD-10 codes indicating a complication present on admission or emerging in hospital. Results: A total of 700 admissions were drawn randomly from 12 966 procedures. Some 519 possible complications were identified in 332 of 700 admissions (47.4 per cent) from ICD-10 codes. Verification of the ICD-10 codes against information from patients' medical records confirmed 298 as in-hospital complications in 141 of 700 admissions (20.1 per cent). Using GTT methodology, 331 complications were found in 212 of 700 admissions (30.3 per cent). Agreement between the two methods reached 83.3 per cent after verification of ICD-10 codes. The odds ratio for identifying complications using the GTT increased from 5.85 (95 per cent c.i. 4.06 to 8.44) to 25.38 (15.41 to 41.79) when ICD-10 complication codes were verified against patients' medical records. Conclusion: Verified ICD-10 codes strengthen the accuracy of complication rates. Use of non-verified complication codes from administrative systems significantly overestimates in-hospital surgical complication rates.
引用
收藏
页码:236 / 244
页数:9
相关论文
共 50 条
  • [1] Accuracy of ICD-10 complication codes after surgery
    Storesund, Anette
    Haugen, Arvid S.
    Hjortas, Magnus
    Nortvedt, Monica W.
    Flaatten, Hans
    Eide, Geir-Egil
    Boermeester, Marja A.
    Sevdalis, Nick
    Softeland, Eirik
    [J]. ACTA ANAESTHESIOLOGICA SCANDINAVICA, 2017, 61 (08) : 1007 - 1008
  • [2] Assessment of the Accuracy of Using ICD-10 Codes to Identify Systemic Sclerosis
    Chaves, Sebastien De Almeida
    Derumeaux, Helene
    Phuong Do Minh
    Lapeyre-Mestre, Maryse
    Moulis, Guillaume
    Pugnet, Gregory
    [J]. CLINICAL EPIDEMIOLOGY, 2020, 12 : 1355 - 1359
  • [3] Accuracy of ICD-10 Diagnostic Codes for Identifying Housing Instability
    O'Brien, Matthew J.
    Owen, Andrew
    Langshur, Sharon
    Doblin, Bruce
    Hinami, Keiki
    Trick, William
    Liss, David T.
    [J]. JAMA NETWORK OPEN, 2024, 7 (08)
  • [4] Comparative Accuracy of ICD-9 vs ICD-10 Codes for Acute Appendicitis
    Duraiswamy, Swetha
    Ignacio, Amanda
    Weinberg, Janice
    Sanchez, Sabrina E.
    Flum, David R.
    Paasche-Orlow, Michael K.
    Kenzik, Kelly M.
    Tseng, Jennifer F.
    Drake, Frederick Thurston
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS, 2022, 234 (03) : 377 - 383
  • [5] The Accuracy of the ICD-10 Diagnostic Codes for Kidney Transplant Rejection and Failure
    Massicotte-Azarniouch, D.
    Sood, M.
    Fergusson, D.
    Chasse, M.
    Tinmouth, A.
    Knoll, G.
    [J]. AMERICAN JOURNAL OF TRANSPLANTATION, 2020, 20 : 597 - 597
  • [6] Assessing the Accuracy of ICD-10 Codes for Ruptured Intracranial Aneurysm Location
    Roark, Christopher
    Kubes, Sheila
    Mayer, David
    Wiley, Laura K.
    [J]. STROKE, 2020, 51
  • [7] Accuracy of ICD-10 Codes for Surveillance of Clostridium difficile Infections, France
    Jones, Gabrielle
    Taright, Namik
    Boelle, Pierre Yves
    Marty, Jeanne
    Lalande, Valerie
    Eckert, Catherine
    Barbut, Frederic
    [J]. EMERGING INFECTIOUS DISEASES, 2012, 18 (06) : 979 - 981
  • [8] Identifying Children Hospitalized With Neglect Using ICD-10 Codes
    Calhoun, Kristen E.
    Samide, Aaron J.
    Collins, Kimberly R.
    Dudas, Robert A.
    Krugman, Scott
    Morrison, John M.
    [J]. CLINICAL PEDIATRICS, 2024,
  • [9] Accuracy of ICD-10 Coding for Anaphylaxis
    Uthairat, Monthida
    Sakulchit, Teeranai
    Sangsupawanich, Pasuree
    [J]. JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY, 2016, 137 (02) : AB54 - AB54
  • [10] Accuracy of Influenza ICD-10 Diagnosis Codes in Identifying Influenza Illness in Children
    Antoon, James W.
    Stopczynski, Tess
    Amarin, Justin Z.
    Stewart, Laura S.
    Boom, Julie A.
    Sahni, Leila C.
    Michaels, Marian G.
    Williams, John V.
    Englund, Janet A.
    Klein, Eileen J.
    Staat, Mary A.
    Schlaudecker, Elizabeth P.
    Selvarangan, Rangaraj
    Schuster, Jennifer E.
    Weinberg, Geoffrey A.
    Szilagyi, Peter G.
    Perez, Ariana
    Moline, Heidi L.
    Spieker, Andrew J.
    Grijalva, Carlos G.
    Olson, Samantha M.
    Halasa, Natasha B.
    [J]. JAMA NETWORK OPEN, 2024, 7 (04)