Literature DB >> 28474053

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

Wei Du1, Sallie-Anne Pearson2, Nicholas A Buckley3, Cathy Day4, Emily Banks5.   

Abstract

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.

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Year:  2017        PMID: 28474053     DOI: 10.17061/phrp2721716

Source DB:  PubMed          Journal:  Public Health Res Pract        ISSN: 2204-2091


  4 in total

1.  A Machine-Learning Algorithm to Optimise Automated Adverse Drug Reaction Detection from Clinical Coding.

Authors:  Christopher McMaster; David Liew; Claire Keith; Parnaz Aminian; Albert Frauman
Journal:  Drug Saf       Date:  2019-06       Impact factor: 5.606

2.  Persistence of Adverse Drug Reaction-Related Hospitalization Risk Following Discharge.

Authors:  Olive Schmid; Bonnie Bereznicki; Gregory Mark Peterson; Jim Stankovich; Luke Bereznicki
Journal:  Int J Environ Res Public Health       Date:  2022-05-04       Impact factor: 4.614

3.  Ten-year trends in adverse drug reaction-related hospitalizations among people with dementia.

Authors:  Anum Saqib Zaidi; Gregory M Peterson; Luke R E Bereznicki; Colin M Curtain; Mohammed S Salahudeen
Journal:  Ther Adv Drug Saf       Date:  2022-03-11

4.  Shortcomings of Administrative Data to Derive Preventive Strategies for Inhospital Drug-Induced Acute Kidney Failure-Insights from Patient Record Analysis.

Authors:  Stefanie Amelung; David Czock; Markus Thalheimer; Torsten Hoppe-Tichy; Walter E Haefeli; Hanna M Seidling
Journal:  J Clin Med       Date:  2022-07-23       Impact factor: 4.964

  4 in total

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