The identification of artefacts in reporting of drug-induced deaths using structural breaks analysis of time series statistics

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F21%3A43920581" target="_blank" >RIV/00023752:_____/21:43920581 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11110/21:10428786 RIV/00064165:_____/21:10428786

Result on the web

<a href="https://onlinelibrary.wiley.com/doi/10.1111/dar.13296" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1111/dar.13296</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/dar.13296" target="_blank" >10.1111/dar.13296</a>

Result language

angličtina

Original language name

The identification of artefacts in reporting of drug-induced deaths using structural breaks analysis of time series statistics

Original language description

Introduction Drug-related mortality is a key epidemiological indicator that is collected nationally and internationally. Significant efforts were made in 2006-2007 to improve the quality of data concerning drug-related mortality in the Czech Republic. The aim of this article is to identify the effect of a quality improvement project on the drug-induced mortality data reported in the General Mortality Registry (GMR), and to demonstrate how to identify, quantify and interpret changes in drug-induced mortality based on the example of the Czech Republic. Methods We extracted data on illicit drug-induced deaths from the Czech Republic GMR and Special Mortality registry (SMR) for the years between 2004 and 2012, and aggregated monthly and quarterly time series. We applied a new procedure to identify structural breakpoints in time series based on dating structural changes in standard linear regression models. Results In the GMR, breakpoints were identified in three time series: (i) opioid-related deaths; (ii) other stimulant-related deaths; and (iii) total drug-induced deaths. In the SMR, the structural breaks were identified for opioids, volatile substances and selection D time series. In each of these time series, the analysis identified a decrease in the intercepts in the different segments. Discussion and Conclusions The structural breaks identified and quantified in the GMR time series were plausibly caused by the quality improvement efforts that started in 2006. These results demonstrate that it is critical for the analysis and use of drug mortality data collected in the registries to identify practice changes in the relevant registries, to quantify their influence and to adjust mortality estimates accordingly.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30312 - Substance abuse

Project

<a href="/en/project/LO1611" target="_blank" >LO1611: Sustainability for The National Institute of Mental Health</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Drug and Alcohol Review

ISSN

0959-5236

e-ISSN

—

Volume of the periodical

40

Issue of the periodical within the volume

7

Country of publishing house

US - UNITED STATES

Number of pages

12

Pages from-to

1207-1218

UT code for WoS article

000641601600001

EID of the result in the Scopus database

2-s2.0-85104523335