Exploring in-hospital adverse drug events using ICD-10 codes

被引:14
|
作者
Parikh, Sumit [1 ]
Christensen, Donna [2 ]
Stuchbery, Peter [3 ]
Peterson, Jenny [2 ]
Hutchinson, Anastasia [1 ,5 ]
Jackson, Terri [1 ,4 ]
机构
[1] Northern Hlth, Northern Clin Res Ctr, Epping, Vic 3076, Australia
[2] Northern Hlth, Qual Safety & Risk Management Unit, Epping, Vic 3076, Australia
[3] Northern Hlth, Serv Pharm, Epping, Vic 3076, Australia
[4] Univ Melbourne, Sch Populat Hlth, Parkville, Vic 3010, Australia
[5] Deakin Univ, Sch Nursing & Midwifery, Burwood, Vic 3125, Australia
关键词
MEDICATION ERRORS; IDENTIFICATION; DIAGNOSES; ADMISSION;
D O I
10.1071/AH13166
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objective. Adverse drug events (ADEs) during hospital admissions are a widespread problem associated with adverse patient outcomes. The 'external cause' codes in the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10) provide opportunities for identifying the incidence of ADEs acquired during hospital stays that may assist in targeting interventions to decrease their occurrence. The aim of the present study was to use routine administrative data to identify ADEs acquired during hospital admissions in a suburban healthcare network in Melbourne, Australia. Methods. Thirty-nine secondary diagnosis fields of hospital discharge data for a 1-year period were reviewed for 'diagnoses not present on admission' and assigned to the Classification of Hospital Acquired Diagnoses (CHADx) subclasses. Discharges with one or more ADE subclass were extracted for retrospective analysis. Results. From 57 205 hospital discharges, 7891 discharges (13.8%) had at least one CHADx, and 402 discharges (0.7%) had an ADE recorded. The highest proportion of ADEs was due to administration of analgesics (27%) and systemic antibiotics (23%). Other major contributors were anticoagulation (13%), anaesthesia (9%) and medications with cardiovascular side-effects (9%). Conclusion. Hospital data coded in ICD-10 can be used to identify ADEs that occur during hospital stays and also clinical conditions, therapeutic drug classes and treating units where these occur. Using the CHADx algorithm on administrative datasets provides a consistent and economical method for such ADE monitoring.
引用
收藏
页码:454 / 460
页数:7
相关论文
共 50 条
  • [31] Analysis of ICD-10 diagnosis codes of patients with hypereosinophilia
    Civelek, E.
    Celik, Kulhas, I
    Buyuktiryaki, B.
    Misirlioglu, Dibek E.
    Toyran, M.
    Ginis, T.
    Metin, A.
    Kocabas, C.
    [J]. ALLERGY, 2017, 72 : 540 - 541
  • [32] ICD-10 Codes: More Specificity With More Characters
    Lamb, Angela J.
    [J]. CUTIS, 2014, 94 (04): : 171 - 172
  • [33] Disease identification based on ambulatory drugs dispensation and in-hospital ICD-10 diagnoses: a comparison
    Halfon, Patricia
    Eggli, Yves
    Decollogny, Anne
    Seker, Erol
    [J]. BMC HEALTH SERVICES RESEARCH, 2013, 13
  • [34] Using administrative databases for research in epilepsy:: Validation of ICD-10 epilepsy codes
    Reid, Aylin Y.
    Jette, N.
    Quan, H.
    Hill, M. D.
    Wiebe, S.
    [J]. EPILEPSIA, 2007, 48 : 87 - 87
  • [35] Identification of Cancer Cases Using ICD-9 and ICD-10 Codes in Electronic Health System
    Zhang, Lei
    Sanz, Javier
    Stanoyevitch, Alexander
    Follett, Robert
    Bell, Douglas
    [J]. LABORATORY INVESTIGATION, 2017, 97 : 403A - 403A
  • [36] Read codes may prevent UK GPs from using ICD-10
    Agarwal, G
    [J]. BRITISH JOURNAL OF GENERAL PRACTICE, 1998, 48 (432): : 1434 - 1434
  • [37] Challenges in Using ICD-10 Codes for Case Ascertainment in Pediatric Heart Failure
    May, L. J.
    Cabrera, A. G.
    Wilkes, J.
    Ou, Z.
    Tristani-Firouzi, M.
    Stehlik, J.
    Keenan, H. T.
    [J]. JOURNAL OF HEART AND LUNG TRANSPLANTATION, 2022, 41 (04): : S500 - S501
  • [38] Identification of Cancer Cases Using ICD-9 and ICD-10 Codes in Electronic Health System
    Zhang, Lei
    Sanz, Javier
    Stanoyevitch, Alexander
    Follett, Robert
    Bell, Douglas
    [J]. MODERN PATHOLOGY, 2017, 30 : 403A - 403A
  • [39] Validation of ICD-10 Codes for Gestational and Pregestational Diabetes During Pregnancy in a Large, Public Hospital
    Stanhope, Kaitlyn K.
    Joseph, Naima T.
    Platner, Marissa
    Hutchison, Ciara
    Wen, Shawn
    Laboe, Adrienne
    Labgold, Katie
    Jamieson, Denise J.
    Boulet, Sheree L.
    [J]. EPIDEMIOLOGY, 2021, 32 (02) : 277 - 281
  • [40] Deriving ICD-10 Codes for Patient Safety Indicators for Large-scale Surveillance Using Administrative Hospital Data
    Southern, Danielle A.
    Burnand, Bernard
    Droesler, Saskia E.
    Flemons, Ward
    Forster, Alan J.
    Gurevich, Yana
    Harrison, James
    Quan, Hude
    Pincus, Harold A.
    Romano, Patrick S.
    Sundararajan, Vijaya
    Kostanjsek, Nenad
    Ghali, William A.
    [J]. MEDICAL CARE, 2017, 55 (03) : 252 - 260