Grief and mourning for family members caring for a dementia patient begin with the initial changes in the person's cognitive abilities, and intensify with the worsening of his or her condition. The aim of this article is to propose a Two-Track Model of Dementia Grief (TTM-DG). This model enlarges the theoretical, research and clinical lenses for dementia, and explores how the illness process as well as the bereavement responses after death stimulate the reworking of grief and mourning over the beloved family member. Based on the insights derived from the Two-Track Model of Loss and Bereavement and the Continuing Bonds paradigm, we propose that the clinical and research examination of dementia grief begin in life and continue after the death. The TTM - DG's Track I focuses on bio-psycho-social functioning and Track II focuses on the internalized psychological representation of the patient, the ongoing relational bond and the illness and death story. A case study illustrates how this combined perspective provides a comprehensive picture of the experience of grief for persons afflicted with dementia over the course of the disease trajectory. Future clinical and empirical research has an important role to play in the further development of this model.
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http://dx.doi.org/10.1080/07481187.2019.1688014 | DOI Listing |
Glob Health Promot
November 2024
PHIRST South Bank, London South Bank University, UK.
Spectrochim Acta A Mol Biomol Spectrosc
February 2025
Department of Physiology, Faculty of Medicine, Gaziantep Islam, Science and Technology University, Gaziantep, Türkiye. Electronic address:
Substance use disorders pose significant health risks and treatment challenges due to the diverse interactions between substances and their impact on physical and mental health. The chemical effects of multiple substance use on bodily fluids are not yet fully understood. Therefore, this study aimed to investigate the chemical changes induced by a combination of substances compared to a control group.
View Article and Find Full Text PDFNat Commun
August 2024
DP Technology, Beijing, China.
Quantum chemical (QC) property prediction is crucial for computational materials and drug design, but relies on expensive electronic structure calculations like density functional theory (DFT). Recent deep learning methods accelerate this process using 1D SMILES or 2D graphs as inputs but struggle to achieve high accuracy as most QC properties depend on refined 3D molecular equilibrium conformations. We introduce Uni-Mol+, a deep learning approach that leverages 3D conformations for accurate QC property prediction.
View Article and Find Full Text PDFOmega (Westport)
January 2024
School of Behavioral Sciences, The Academic College to Tel Aviv - Yaffo, Tel Aviv, Israel.
The shift from the detachment model of mourning to the continuing bonds paradigm in bereavement placed relationships to the deceased alongside relationships to the living. This emphasis on the continuation of the connection to the other person after death paradoxically narrowed the gap between relationships in life and after death. We explore and expand the concept of continuing bonds as it is now used in the field of loss and bereavement by comparing spousal relationships in the living, deceased and divorced.
View Article and Find Full Text PDFImportance: Implemented in 18 regions, Comprehensive Primary Care Plus (CPC+) was the largest US primary care delivery model ever tested. Understanding its association with health outcomes is critical in designing future transformation models.
Objective: To test whether CPC+ was associated with lower health care spending and utilization and improved quality of care.
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