Diagnosis-based and external cause-based criteria to identify adverse drug reactions in hospital ICD-coded data: application to an Australia population-based study

Objectives: External cause International Classification of Diseases (ICD) codes are commonly used to ascertain adverse drug reactions (ADRs) related to hospitalisation. We quantified ascertainment of ADR-related hospitalisation using external cause codes and additional ICD-based hospital diagnosis c...

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Main Authors: Wei Du, Sallie-Anne Pearson, Nicholas A Buckley, Cathy Day, Emily Banks
Format: Article
Language:English
Published: Sax Institute 2017-04-01
Series:Public Health Research & Practice
Subjects:
Online Access:http://www.phrp.com.au/issues/april-2017-volume-27-issue-2/diagnosis-based-and-external-cause-based-criteria-to-identify-adverse-drug-reactions-in-hospital-icd-coded-data-application-to-an-australia-population-based-study/
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spelling doaj-22606fcf28d14cb89161f6dccbe55bc42020-11-24T22:40:49ZengSax InstitutePublic Health Research & Practice2204-20912017-04-0127210.17061/phrp2721716 Diagnosis-based and external cause-based criteria to identify adverse drug reactions in hospital ICD-coded data: application to an Australia population-based studyWei Du0Sallie-Anne Pearson1Nicholas A Buckley2Cathy Day3Emily Banks4National Centre for Epidemiology and Population Health, Australian National University, Canberra, ACTFaculty of Pharmacy, University of Sydney, NSW, AustraliaDiscipline of Pharmacology, University of Sydney, NSW, AustraliaNational Centre for Epidemiology and Population Health, Australian National University, Canberra, ACTNational Centre for Epidemiology and Population Health, Australian National University, Canberra, ACT; Sax Institute, Sydney, NSW, AustraliaObjectives: External cause International Classification of Diseases (ICD) codes are commonly used to ascertain adverse drug reactions (ADRs) related to hospitalisation. We quantified ascertainment of ADR-related hospitalisation using external cause codes and additional ICD-based hospital diagnosis codes. Methods: We reviewed the scientific literature to identify different ICD-based criteria for ADR-related hospitalisations, developed algorithms to capture ADRs based on candidate hospital ICD-10 diagnoses and external cause codes (Y40–Y59), and incorporated previously published causality ratings estimating the probability that a specific diagnosis was ADR related. We applied the algorithms to the NSW Admitted Patient Data Collection records of 45 and Up Study participants (2011–2013). Results: Of 493 442 hospitalisations among 267 153 study participants during 2011–2013, 18.8% (n = 92 953) had hospital diagnosis codes that were potentially ADR related; 1.1% (n = 5305) had high/very high–probability ADR-related diagnosis codes (causality ratings: A1 and A2); and 2.0% (n = 10 039) had ADR-related external cause codes. Overall, 2.2% (n = 11 082) of cases were classified as including an ADR-based hospitalisation on either external cause codes or high/very high–probability ADR-related diagnosis codes. Hence, adding high/very high–probability ADR-related hospitalisation codes to standard external cause codes alone (Y40–Y59) increased the number of hospitalisations classified as having an ADR-related diagnosis by 10.4%. Only 6.7% of cases with high-probability ADR-related mental symptoms were captured by external cause codes. Conclusion: Selective use of high-probability ADR-related hospital diagnosis codes in addition to external cause codes yielded a modest increase in hospitalised ADR incidence, which is of potential clinical significance. Clinically validated combinations of diagnosis codes could potentially further enhance capture.http://www.phrp.com.au/issues/april-2017-volume-27-issue-2/diagnosis-based-and-external-cause-based-criteria-to-identify-adverse-drug-reactions-in-hospital-icd-coded-data-application-to-an-australia-population-based-study/PrescribingMedicines
collection DOAJ
language English
format Article
sources DOAJ
author Wei Du
Sallie-Anne Pearson
Nicholas A Buckley
Cathy Day
Emily Banks
spellingShingle Wei Du
Sallie-Anne Pearson
Nicholas A Buckley
Cathy Day
Emily Banks
Diagnosis-based and external cause-based criteria to identify adverse drug reactions in hospital ICD-coded data: application to an Australia population-based study
Public Health Research & Practice
Prescribing
Medicines
author_facet Wei Du
Sallie-Anne Pearson
Nicholas A Buckley
Cathy Day
Emily Banks
author_sort Wei Du
title Diagnosis-based and external cause-based criteria to identify adverse drug reactions in hospital ICD-coded data: application to an Australia population-based study
title_short Diagnosis-based and external cause-based criteria to identify adverse drug reactions in hospital ICD-coded data: application to an Australia population-based study
title_full Diagnosis-based and external cause-based criteria to identify adverse drug reactions in hospital ICD-coded data: application to an Australia population-based study
title_fullStr Diagnosis-based and external cause-based criteria to identify adverse drug reactions in hospital ICD-coded data: application to an Australia population-based study
title_full_unstemmed Diagnosis-based and external cause-based criteria to identify adverse drug reactions in hospital ICD-coded data: application to an Australia population-based study
title_sort diagnosis-based and external cause-based criteria to identify adverse drug reactions in hospital icd-coded data: application to an australia population-based study
publisher Sax Institute
series Public Health Research & Practice
issn 2204-2091
publishDate 2017-04-01
description Objectives: External cause International Classification of Diseases (ICD) codes are commonly used to ascertain adverse drug reactions (ADRs) related to hospitalisation. We quantified ascertainment of ADR-related hospitalisation using external cause codes and additional ICD-based hospital diagnosis codes. Methods: We reviewed the scientific literature to identify different ICD-based criteria for ADR-related hospitalisations, developed algorithms to capture ADRs based on candidate hospital ICD-10 diagnoses and external cause codes (Y40–Y59), and incorporated previously published causality ratings estimating the probability that a specific diagnosis was ADR related. We applied the algorithms to the NSW Admitted Patient Data Collection records of 45 and Up Study participants (2011–2013). Results: Of 493 442 hospitalisations among 267 153 study participants during 2011–2013, 18.8% (n = 92 953) had hospital diagnosis codes that were potentially ADR related; 1.1% (n = 5305) had high/very high–probability ADR-related diagnosis codes (causality ratings: A1 and A2); and 2.0% (n = 10 039) had ADR-related external cause codes. Overall, 2.2% (n = 11 082) of cases were classified as including an ADR-based hospitalisation on either external cause codes or high/very high–probability ADR-related diagnosis codes. Hence, adding high/very high–probability ADR-related hospitalisation codes to standard external cause codes alone (Y40–Y59) increased the number of hospitalisations classified as having an ADR-related diagnosis by 10.4%. Only 6.7% of cases with high-probability ADR-related mental symptoms were captured by external cause codes. Conclusion: Selective use of high-probability ADR-related hospital diagnosis codes in addition to external cause codes yielded a modest increase in hospitalised ADR incidence, which is of potential clinical significance. Clinically validated combinations of diagnosis codes could potentially further enhance capture.
topic Prescribing
Medicines
url http://www.phrp.com.au/issues/april-2017-volume-27-issue-2/diagnosis-based-and-external-cause-based-criteria-to-identify-adverse-drug-reactions-in-hospital-icd-coded-data-application-to-an-australia-population-based-study/
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AT cathyday diagnosisbasedandexternalcausebasedcriteriatoidentifyadversedrugreactionsinhospitalicdcodeddataapplicationtoanaustraliapopulationbasedstudy
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