Aim: Frequent emergency department (ED) users increase the burden on EDs. However, little is known about the characteristics and subgroups of frequent ED users in Japan.
Methods: We retrospectively analyzed data on patients who had visited the ED of an academic hospital in Japan between 2014 and 2015. We identified adult frequent ED users (four or more ED visits within 365 days prior to one's last visit) and sampled adult non-frequent ED users. We compared these groups to delineate the characteristics of frequent ED users and examined the association between frequent ED use and hospitalization rates. Additionally, to identify latent subgroups of frequent ED users, we undertook a cluster analysis.
Results: We identified 259 frequent ED users and 297 non-frequent ED users from 9,546 patients who had visited the ED in 2015. Frequent ED users accounted for 8.2% of all ED visits. Frequent ED users tended to be older, have comorbidities, and be receiving public assistance compared to non-frequent ED users. There was a significant association between frequent ED use and higher hospitalization rates, which was partially attributable to (older) age and comorbidities. In the cluster analysis, we identified four subgroups of frequent ED users: (i) older patients with malignant tumors and the highest hospitalization rates, (ii) patients with mental illnesses and the lowest hospitalization rates, (iii) patients who were at risk of cardiovascular diseases, (iv) others.
Conclusions: Frequent ED users tended to be older and have comorbidities. Four latent subgroups of frequent ED users were identified.
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http://dx.doi.org/10.1002/ams2.535 | DOI Listing |
Am J Perinatol
January 2025
Department of Maternal Fetal Medicine, Advocate Aurora Health Inc, Oak Lawn, United States.
Objective The impact of type 1 DM (T1DM) on thromboembolism in pregnancy is uncertain. We hypothesized that T1DM is associated with higher rates of thrombotic events during pregnancy and the postpartum period. Study Design This is a retrospective cohort study utilizing the National Inpatient Sample database from HCUP/AHRQ for 2017-2019.
View Article and Find Full Text PDFJ Virus Erad
December 2024
Vancouver Infectious Diseases Center, Vancouver, British Columbia, Canada.
Background: Several clinical trials, including the recently published the GRAND PLAN study from Vancouver Infectious Diseases Center (VIDC), have demonstrated the efficacy of hepatitis C (HCV) therapy among active drug users, including those facing significant addiction-related and social challenges. In the GRAND PLAN, we documented sustained virological response post-treatment Week12 (SVR12) in 108/117 (92.3 %) individuals (108/111 (mITT) or 97.
View Article and Find Full Text PDFJ Epidemiol
January 2025
Department of Medical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS.
Introduction: Relative or absolute safety of heated tobacco products (HTP) remains unknown, while independent literature suggests that these products do not favour tobacco control. We conducted a comprehensive systematic review and meta-analysis to evaluate HTP usage patterns and the effect of HTP use on conventional tobacco smoking (use transitions).
Methods: We used Pubmed/MEDLINE, Embase and the Cochrane Library to identify all articles published up to February 2022 on HTP use.
JMIR Form Res
January 2025
Department of Epidemiology and Biostatistics, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Background: Public health programs and policies can positively influence food environments. In 2016, a voluntary National Healthy Food and Drink Policy was released in New Zealand to improve the healthiness of food and drinks for hospital staff and visitors. However, no resources were developed to support policy implementation.
View Article and Find Full Text PDFTraffic Inj Prev
January 2025
School of Traffic & Transportation Engineering, Changsha University of Science & Technology, Changsha, Hunan, China.
Objective: This study aims to investigate the causes of 2-vehicle collisions involving an autonomous vehicle (AV) and a conventional vehicle (CV). Prior research has primarily focused on the causes of crashes from the perspective of AVs, often neglecting the interactions with CVs.
Method: To address this limitation, the study proposes a classification framework for crash causation patterns in 2-vehicle collisions involving an AV and a CV, considering their interactions.
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