Skip to main content
Log in

International Trends in Adverse Drug Event-Related Mortality from 2001 to 2019: An Analysis of the World Health Organization Mortality Database from 54 Countries

  • Original Research Article
  • Published:
Drug Safety Aims and scope Submit manuscript

Abstract

Background and Objective

Adverse drug events (ADEs) are becoming a significant public health issue. However, reports on ADE-related mortality are limited to national-level evaluations. Therefore, we aimed to reveal overall trends in ADE-related mortality across the 21st century on an international level.

Methods

This observational study analysed long-term trends in ADE-related mortality rates from 2001 to 2019 using the World Health Organization Mortality Database. The rates were analysed according to sex, age and region. North America, Latin America and the Caribbean, Western Europe, Eastern Europe and Western Pacific regions were assessed. Fifty-four countries were included with four-character International Statistical Classification of Disease and Related Health Problems, Tenth Revision codes in the database, population data in the World Population Prospects 2019 report, mortality data in more than half of the study period, and high-quality or medium-quality death registration data. A locally weighted regression curve was used to show international trends in age-standardised rates.

Results

The global ADE-related mortality rate per 100,000 population increased from 2.05 (95% confidence interval 0.92–3.18) in 2001 to 6.86 (95% confidence interval 5.76–7.95) in 2019. Mortality rates were higher among men than among women, especially in those aged 20–50 years. The population aged ≥ 75 years had higher ADE-related mortality rates than the younger population. North America had the highest mortality rate among the five regions. The global ADE-related mortality rate increased by approximately 3.3-fold from 2001 to 2019.

Conclusions

The burden of ADEs has increased internationally with rising mortality rates. Establishing pharmacovigilance systems can facilitate efforts to reduce ADE-related mortality rates globally.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Falconer N, Barras M, Martin J, Cottrell N. Defining and classifying terminology for medication harm: a call for consensus. Eur J Clin Pharmacol. 2019;75:137–45. https://doi.org/10.1007/s00228-018-2567-5.

    Article  CAS  PubMed  Google Scholar 

  2. Silva LT, Modesto ACF, Amaral RG, Lopes FM. Hospitalizations and deaths related to adverse drug events worldwide: systematic review of studies with national coverage. Eur J Clin Pharmacol. 2022;78:435–66. https://doi.org/10.1007/s00228-021-03238-2.

    Article  CAS  PubMed  Google Scholar 

  3. Shepherd G, Mohorn P, Yacoub K, May DW. Adverse drug reaction deaths reported in United States vital statistics, 1999–2006. Ann Pharmacother. 2012;46:169–75. https://doi.org/10.1345/aph.1P592.

    Article  PubMed  Google Scholar 

  4. Funahashi T, Koyama T, Hagiya H, Harada K, Iinuma S, Ushio S, et al. Population-based observational study of adverse drug event-related mortality in the super-aged society of Japan. Drug Saf. 2021;44:531–9. https://doi.org/10.1007/s40264-020-01037-9.

    Article  PubMed  Google Scholar 

  5. US Department of Health and Human Services, Office of Disease Prevention and Health Promotion. National action plan for adverse drug event prevention. 2014. https://health.gov/our-work/national-health-initiatives/health-care-quality/adverse-drug-events/national-ade-action-plan. Accessed 10 May 2023.

  6. Duensing K, Twillman R, Ziegler S, Cepeda MS, Kern D, Salas M, et al. An examination of state and federal opioid analgesic and continuing education policies: 2016–2018. J Pain Res. 2020;13:2431–42. https://doi.org/10.2147/JPR.S267448.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Sommer H, Dwenger A. Action plan of the Federal Ministry of Health for improvement of medication safety in Germany: an inventory. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2018;61:1062–5. https://doi.org/10.1007/s00103-018-2778-z.

    Article  PubMed  Google Scholar 

  8. Akishita M. Guidelines for medical treatment and its safety in the elderly. Nihon Ronen Igakkai Zasshi. 2007;44:31–4. https://doi.org/10.3143/geriatrics.44.31.

    Article  PubMed  Google Scholar 

  9. WHO. WHO Mortality Database. https://www.who.int/data/data-collection-tools/who-mortality-database. Accessed 24 June 2021.

  10. Hohl CM, Karpov A, Reddekopp L, Doyle-Waters M, Stausberg J. ICD-10 codes used to identify adverse drug events in administrative data: a systematic review. J Am Med Inform Assoc. 2014;21:547–57. https://doi.org/10.1136/amiajnl-2013-002116.

    Article  PubMed  Google Scholar 

  11. United Nations. World population prospects 2019. https://www.un.org/development/desa/pd/news/world-population-prospects-2019-0. Accessed 20 June 2021.

  12. Mathers CD, Fat DM, Inoue M, Rao C, Lopez AD. Counting the dead and what they died from: an assessment of the global status of cause of death data. Bull World Health Organ. 2005;83:171–7.

    PubMed  PubMed Central  Google Scholar 

  13. Omar BA, Cynthia BP, Alan DL, Christopher JM, Rafael L, Mie I. Age standardization of rates: a new WHO standard. 2001. https://cdn.who.int/media/docs/default-source/gho-documents/global-health-estimates/gpe_discussion_paper_series_paper31_2001_age_standardization_rates.pdf. Accessed 1 Dec 2022.

  14. Cleveland WS, Devlin SJ. Locally weighted regression: an approach to regression analysis by local fitting. J Am Stat Assoc. 1988;83:596–610. https://doi.org/10.1080/01621459.1988.10478639.

    Article  Google Scholar 

  15. Barco S, Mahmoudpour SH, Valerio L, Klok FA, Münzel T, Middeldorp S, et al. Trends in mortality related to pulmonary embolism in the European region, 2000–15: analysis of vital registration data from the WHO Mortality Database. Lancet Respir Med. 2020;8:277–87. https://doi.org/10.1016/S2213-2600(19)30354-6.

    Article  PubMed  Google Scholar 

  16. Kuklik N, Stausberg J, Jöckel KH. Adverse drug events in German hospital routine data: a validation of International Classification of Diseases, 10th Revision (ICD-10) diagnostic codes. PLoS ONE. 2017;12: e0187510. https://doi.org/10.1371/journal.pone.0187510.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. CDC. NCHS. Provisional drug overdose death counts. In: National Vital Statistics System. Vital statistics rapid release. Surveillance activities. 2023. https://www.cdc.gov/nchs/nvss/vsrr/drug-overdose-data.htm. Accessed 23 Sep 2023.

  18. FDA Adverse Event Reporting System (FAERS). U.S. Food & Drug Association. 2021. https://www.fda.gov/drugs/questions-and-answers-fdas-adverse-event-reporting-system-faers/fda-adverse-event-reporting-system-faers-public-dashboard. Accessed 24 Sep 2023.

  19. VigiBase. Uppsala Monitoring Centre. 2021. https://who-umc.org/vigibase/vigibase-who-s-global-database/. Accessed 25 Sep 2023.

  20. Chang AY, Cowling K, Micah AE, Chapin A, Chen CS, Ikilezi G, et al. Past, present, and future of global health financing: a review of development assistance, government, out-of-pocket, and other private spending on health for 195 countries, 1995–2050. Global Burden of Disease Health Financing Collaborator Network. Lancet. 2019;393:2233–60. https://doi.org/10.1016/S0140-6736(19)30841-4.

    Article  Google Scholar 

  21. OECDiLibrary. Health at a glance 2021: OECD indicators. Pharmaceutical consumption. 2021. https://www.oecd-ilibrary.org/sites/5689c05c-en/index.html?itemId=%2Fcontent%2Fcomponent%2F5689c05c-en#. Accessed 25 Sep 2023.

  22. Soldin OP, Mattison DR. Sex differences in pharmacokinetics and pharmacodynamics. Clin Pharmacokinet. 2009;48:143–57. https://doi.org/10.2165/00003088-200948030-00001.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Turner JP, Tannenbaum C. Older adults’ awareness of deprescribing: a population-based survey. J Am Geriatr Soc. 2017;65:2691–6. https://doi.org/10.1111/jgs.15079.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Hannah R, Max R. Opioids, cocaine, cannabis and illicit drugs; 2022. https://ourworldindata.org/illicit-drug-use. Accessed 14 May 2023.

  25. Steinman MA, Miao Y, Boscardin WJ, Komaiko KD, Schwartz JB. Prescribing quality in older veterans: a multifocal approach. J Gen Intern Med. 2014;29:1379–86. https://doi.org/10.1007/s11606-014-2924-8.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Spencer MR, Miniño AM, Warner M. Drug overdose deaths in the United States, 2001–2021. NCHS Data Brief, vol 457. Hyattsville: National Center for Health Statistics; 2022. p. 1–8. https://doi.org/10.15620/cdc:122556. Accessed 14 May 2023.

  27. Office for National Statistics. Deaths related to drug poisoning in England and Wales: 2019 registrations. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/bulletins/deathsrelatedtodrugpoisoninginenglandandwales/2019registrations. Accessed 25 May 2023.

  28. Federal, Provincial, and Territorial Special Advisory Committee on the Epidemic of Opioid Overdoses. Opioid- and stimulant-related harms in Canada. 2023. https://health-infobase.canada.ca/substance-related-harms/opioids-stimulants/. Accessed 25 May 2023.

  29. Centers for Disease Control and Prevention, National Center for Injury Prevention and Control. Death rate maps & graphs. https://www.cdc.gov/drugoverdose/deaths/2013-2017-increase.html. Accessed 24 May 2023.

  30. The European Monitoring Centre for Drugs and Drug Addiction; 2022: overdose deaths. Statistical Bulletin. https://www.emcdda.europa.eu/data/stats2022/drd_en.24 Accessed May 2023.

  31. Chrzanowska A, Man N, Sutherland R, Degenhardt L, Peacock A. Trends in drug-induced deaths in Australia, 1997–2019. 2021. Drug trends bulletin series. https://ndarc.med.unsw.edu.au/resource-analytics/trends-drug-induced-deaths-australia-1997-2019. Accessed 22 May 2023.

  32. Khan MAA, Hamid S, Babar ZU. Pharmacovigilance in high-income countries: current developments and a review of literature. Pharmacy. 2023;11:10. https://doi.org/10.3390/pharmacy11010010.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Gandhi TK, Weingart SN, Borus J, Seger AC, Peterson J, Burdick E, et al. Adverse drug events in ambulatory care. N Engl J Med. 2003;348:1556–64. https://doi.org/10.1056/NEJMsa020703.

    Article  PubMed  Google Scholar 

  34. Dequito AB, Mol PGM, van Doormaal JE, Zaal RJ, van den Bemt PM, Haaijer-Ruskamp FM, et al. Preventable and non-preventable adverse drug events in hospitalized patients: a prospective chart review in the Netherlands. Drug Saf. 2011;34:1089–100. https://doi.org/10.2165/11592030-000000000-00000.

    Article  PubMed  Google Scholar 

  35. Insani WN, Whittlesea C, Alwafi H, Man KKC, Chapman S, Wei L. Prevalence of adverse drug reactions in the primary care setting: a systematic review and meta-analysis. PLoS ONE. 2021;16: e0252161. https://doi.org/10.1371/journal.pone.0252161.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Hodkinson A, Tyler N, Ashcroft DM, Keers RN, Khan K, Phipps D, et al. Preventable medication harm across health care settings: a systematic review and meta-analysis. BMC Med. 2020;18:313. https://doi.org/10.1186/s12916-020-01774-9.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank Editage (www.editage.jp) for English language editing.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hideharu Hagiya.

Ethics declarations

Funding

This work was supported by the Japan Society for the Promotion of Science (KAKENHI Grant No. 22K10415). The sponsors had no role in the study design; in the collection, analysis and interpretation of the data; in the writing of the manuscript; and in the decision to submit the article for publication. All authors had full access to all of the data (including statistical reports and tables) in the study and take responsibility for the integrity and accuracy of the data.

Conflict of interest

Toshihiro Koyama, Shunya Iinuma, Michio Yamamoto, Takahiro Niimura, Yuka Osaki, Sayoko Nishimura, Ko Harada, Yoshito Zamami and Hideharu Hagiya have no conflicts of interest that are directly relevant to the content of this article.

Ethics approval

This study was approved by the Institutional Review Board of Okayama University Hospital (no. 2007-011) and performed following the Declaration of Helsinki. The requirement for informed consent was waived because of the retrospective nature and analysis of routinely collected data. Reporting of this study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines.

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Availability of data and material

The datasets generated and analysed during the current study are available from the corresponding author upon reasonable request. The corresponding author has full access to all the study data and takes final responsibility for the decision to submit this work for publication.

Code availability

The ICD-10 codes used in the study are provided as ESM.

Author contributions

TK conceived the study; TK, HH and SI designed the study and wrote the manuscript. TK, MY and SI performed the statistical analysis. TK, SI and TN performed the data processing. All authors interpreted the results and critiqued the manuscript. All authors gave final approval for publication of the manuscript.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 1268 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Koyama, T., Iinuma, S., Yamamoto, M. et al. International Trends in Adverse Drug Event-Related Mortality from 2001 to 2019: An Analysis of the World Health Organization Mortality Database from 54 Countries. Drug Saf 47, 237–249 (2024). https://doi.org/10.1007/s40264-023-01387-0

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40264-023-01387-0

Navigation