The global COVID-19 pandemic may significantly affect the experiences of death and bereavement. This study aimed to learn from recent outbreaks of infectious diseases and further understand their impacts on bereavement. We obtained psychological status scores for 32 individuals bereaved due to COVID-19 and 127 individuals bereaved due to non-COVID-19 causes using the online ecological recognition (OER) approach. Next, a sentiment analysis and independent sample t-test were performed to examine the differences between these two groups. The results indicated that the individuals bereaved due to COVID-19 were more insecure and more preoccupied with the grief of the moment than those bereaved due to non-COVID-19 reasons, while the latter group had higher depression scores than the former group. This study can guide policy-makers and clinical practitioners to provide more targeted and sustainable post-bereavement support for both bereaved groups during the COVID-19 period.
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http://dx.doi.org/10.3390/healthcare9060724 | DOI Listing |
BMC Public Health
January 2025
Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA.
Background: Increase in early onset colorectal cancer makes adherence to screening a significant public health concern, with various social determinants playing a crucial role in its incidence, diagnosis, treatment, and outcomes. Stressful life events, such as divorce, marriage, or sudden loss of job, have a unique position among the social determinants of health.
Methods: We applied a large language model (LLM) to social history sections of clinical notes in the health records database of the Medical University of South Carolina to extract recent stressful life events and assess their impact on colorectal cancer screening adherence.
PLoS One
December 2024
AIIMS Bhubaneswar, Bhubaneswar, Odisha, India.
Background: Railway disasters cause huge loss of life and resources. A triple train collision occurred at 7 PM on 2nd June 2023 at Bahanaga, Balasore, Odisha. It was the third deadliest train accident in India with 288 deaths and more than 900 injured.
View Article and Find Full Text PDFPediatrics
January 2025
Robert's Program on Sudden Unexpected Death in Pediatrics, Division of General Pediatrics, Boston Children's Hospital, Boston, Massachusetts.
Background And Objectives: A death scene investigation is required to determine sudden infant death syndrome, and a doll reenactment optimizes the information obtained. The aim of this study was to explore how acutely bereaved parents experience doll reenactments that are conducted after the sudden and unexpected deaths of their infants.
Methods: A mixed-methods design, including surveys and semi-structured interviews, was used in a cross-sectional, national study to explore the experiences of doll reenactment among 45 bereaved parents.
BMC Palliat Care
December 2024
Marie Curie Research Centre, Division of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK.
Background: COVID-19 drastically affected healthcare services world-wide. In the UK, many cancer services were overwhelmed as oncology staff were reassigned, and cancer diagnoses and treatments were delayed. The impact of these pressures on end-of-life care for patients with advanced cancer and their relatives is not well understood.
View Article and Find Full Text PDFSupport Care Cancer
December 2024
Division of Legal Medicine, Shiga University of Medical Science, Otsu, Japan.
Objective: This study aimed to explore the social factors of patients and caregivers, including those related to their wishes for home-based end-of-life care that influence its fulfillment.
Methods: A secondary analysis was conducted using the dataset (home-based end-of-life care N = 625, hospital end-of-life care N = 7603) Comprehensive patient-based survey conducted by The Study on Quality Evaluation of Hospice and Palliative Care by Bereaved Caregivers (J-HOPE 4) and multivariate analysis (multiple logistic regression) to explore the impact of social factors of patients and caregivers on the fulfillment of home-based end-of-life care. The explanatory variables included 11 social factors of patients, such as age and sex, and 18 social factors of primary caregivers.
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