Objectives: To investigate longitudinal trends in the incidence, preventability, and causes of DAEs (diagnostic adverse events) between 2008 and 2019 and compare DAEs to other AE (adverse event) types.
Methods: This study investigated longitudinal trends of DAEs using combined data from four large Dutch AE record review studies. The original four AE studies included 100-150 randomly selected records of deceased patients from around 20 hospitals in each study, resulting in a total of 10,943 patient records. Nurse reviewers indicated cases with potential AEs using a list of triggers. Subsequently, experienced physician reviewers systematically judged the occurrence of AEs, the clinical process in which these AEs occurred, and the preventability and causes.
Results: The incidences of DAEs, potentially preventable DAEs and potentially preventable DAE-related deaths initially declined between 2008 and 2012 (2.3 vs. 1.2; OR=0.52, 95 % CI: 0.32 to 0.83), after which they stabilized up to 2019. These trends were largely the same for other AE types, although compared to DAEs, the incidence of other AE types increased between 2016 (DAE: 1.0, other AE types: 8.5) and 2019 (DAE: 0.8, other AE types: 13.0; rate ratio=1.88, 95 % CI: 1.12 to 2.13). Furthermore, DAEs were more preventable (p<0.001) and were associated with more potentially preventable deaths (p=0.016) than other AE types. In addition, DAEs had more and different underlying causes than other AE types (p<0.001). The DAE causes remained stable over time, except for patient-related factors, which increased between 2016 and 2019 (29.5 and 58.6 % respectively, OR=3.40, 95 % CI: 1.20 to 9.66).
Conclusions: After initial improvements of DAE incidences in 2012, no further improvement was observed in Dutch hospitals in the last decade. Similar trends were observed for other AEs. The high rate of preventability of DAEs suggest a high potential for improvement, that should be further investigated.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1515/dx-2024-0117 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Trends of diagnostic adverse events in hospital deaths: longitudinal analyses of four retrospective record review studies.
Diagnosis (Berl)
November 2024
Department of Public and Occupational Health, Amsterdam UMC, Amsterdam, The Netherlands.
Objectives: To investigate longitudinal trends in the incidence, preventability, and causes of DAEs (diagnostic adverse events) between 2008 and 2019 and compare DAEs to other AE (adverse event) types.
Methods: This study investigated longitudinal trends of DAEs using combined data from four large Dutch AE record review studies. The original four AE studies included 100-150 randomly selected records of deceased patients from around 20 hospitals in each study, resulting in a total of 10,943 patient records.
Drug administration errors among anaesthesia providers in South Africa: a cross-sectional descriptive study.
BMC Anesthesiol
August 2024
Department Anaesthesiology and Critical Care, University of Stellenbosch, Parow, Cape Town, 7500, South Africa.
Background: Drug administration errors (DAEs) in anaesthesia are common, the aetiology multifactorial and though mostly inconsequential, some lead to substantial harm. The extend of DAEs remain poorly quantified and effective implementation of prevention strategies sparse.
Method: A cross-sectional descriptive study was conducted using a peer-reviewed survey questionnaire, circulated to 2217 anaesthetists via a national communication platform.
Retrospective clinical study analysis of skin adverse reactions related to epidermal growth factor receptor inhibitors.
Transl Cancer Res
June 2024
First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Article Synopsis
- EGFR inhibitors are important in treating cancer but often cause severe dermatological adverse events (dAEs) that can lead to treatment discontinuation, emphasizing the need for better understanding and management.* -
- A study at The First Affiliated Hospital of Guangxi Medical University from 2020 to 2022 analyzed 120 cancer patients on EGFRIs, revealing that 84.2% experienced dAEs, with the most common effects being skin rashes and nail lesions.* -
- The research highlighted significant risk factors influencing the timing of dAEs, such as drug type, ethnicity, and occupation, leading to the development of a predictive model for these adverse effects.*
Dissatisfaction-considered waiting time prediction for outpatients with interpretable machine learning.
Health Care Manag Sci
September 2024
Department of Neurosurgery, Pusan National University Hospital, 179, Gudeok-ro, Seo-gu, 49241, Busan, Republic of Korea.
Long waiting time in outpatient departments is a crucial factor in patient dissatisfaction. We aim to analytically interpret the waiting times predicted by machine learning models and provide patients with an explanation of the expected waiting time. Here, underestimating waiting times can cause patient dissatisfaction, so preventing this in predictive models is necessary.
View Article and Find Full Text PDFDoes cold storage of blood before transfusion prevent the transmission of syphilis? A systematic review and meta-analysis.
Vox Sang
March 2024
Department of Public Health and Primary Care, Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Belgium.
Background And Objectives: Although screening of donated blood for syphilis is almost universally applied, its cost-effectiveness is questioned because of the low prevalence of transfusion-transmitted syphilis and a widespread belief that the syphilis-causing bacterium Treponema pallidum is very vulnerable to cold storage. Since the latter claim is not yet supported by a systematic review, we investigated whether syphilis can be transmitted via transfusion following prolonged (cold or room temperature) storage of blood products.
Materials And Methods: MEDLINE, PMC and NCBI bookshelf (PubMed interface), Cochrane Library, Embase, Web of Science and CINAHL were searched up to 17 January 2023.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!