Adverse Childhood Experiences (ACEs) are common and affect the overall functioning of adults, but there is a need to understand how to better address the health impact of ACEs on adults in primary healthcare settings. A narrative review was utilized to extract data from seminal articles to (1) operationalize the influence of ACEs on health outcomes, (2) assess the primary care behavioral health (PCBH) model as a mechanism to address the influence of ACEs, and (3) identify mechanisms to expand the PCBH model to explicitly address spiritual determinants of health. The extracted data revealed that ACEs influence the biological, psychological, social, and spiritual health of patients providing a rationale for integrating psychosocial and spiritual treatment within primary healthcare settings. Simultaneously, the PCBH model integrates psychosocial interventions into existing primary care services but does not explicitly address spiritual determinants. Recommendations for expansion include (1) training for clinicians on evidence-based interventions to address spirituality, (2) spiritual screening tools in PCBH settings, and (3) consultation with chaplains as needed.
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http://dx.doi.org/10.1007/s10943-023-01928-y | DOI Listing |
BMC Psychol
January 2025
Department of Midwifery, University of West Attica, Athens, Greece.
Background: The increasing awareness of the emotional consequences of emergency cesarean deliveries (C-sections) highlights their substantial role in fostering postpartum post-traumatic stress disorder (PTSD). This systematic review and meta-analysis aim to evaluate the prevalence and determinants of PTSD following emergency C-sections, as well as the implications of these events on maternal mental health and welfare.
Methods: Undertaking extensive searches of Scopus, PubMed, PsycINFO, and Google Scholar, we have incorporated studies published from 2013 onwards that examined the occurrence of PTSD following emergency C-sections.
Skelet Muscle
January 2025
Department of Molecular Physiology and Biophysics, and Department of Neurology, Howard Hughes Medical Institute, Senator Paul D. Wellstone Muscular Dystrophy Specialized Research Center, Roy J. and Lucille A. Carver College of Medicine, The University of Iowa, Iowa City, Iowa, USA.
Background: Maintaining the connection between skeletal muscle fibers and the surrounding basement membrane is essential for muscle function. Dystroglycan (DG) serves as a basement membrane extracellular matrix (ECM) receptor in many cells, and is also expressed in the outward-facing membrane, or sarcolemma, of skeletal muscle fibers. DG is a transmembrane protein comprised of two subunits: alpha-DG (α-DG), which resides in the peripheral membrane, and beta-DG (β-DG), which spans the membrane to intracellular regions.
View Article and Find Full Text PDFOrphanet J Rare Dis
January 2025
Department of Social Work, Child Welfare and Social Policy, Faculty of Social Science, Oslo Metropolitan University, Oslo, Norway.
Introduction: The purpose of this study was to investigate perceptions and opinions on what constitutes determinants for quality of life (QoL) in individuals with syndromic Heritable Aortic Disease (sHTAD), utilizing a qualitative study approach. Further to discuss clinical implications and direction for research.
Method: A qualitative focus group interview study was conducted of 47 adults (Marfan syndrome (MFS) = 14, Loeys-Dietz syndrome (LDS) = 11, vascular Ehlers Danlos syndrome (EDS) = 11, relatives = 11).
Hum Resour Health
January 2025
Health Development Research Department, Capital Institute of Pediatrics, Beijing, 100020, People's Republic of China.
Background: Quantitative methods for estimating the workload of primary healthcare (PHC) workers are essential for improving the performance of PHC institutions. However, measuring the workload of PHC workers is challenging due to the diverse and complex range of services covered by PHC. This study aims to use an equivalent value (EV)-based approach to assess the workload of PHC workers and inform policymakers about the current workload burden in Beijing, China.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Electrical Engineering, ESAT-STADIUS, KU Leuven, Kasteelpark Arenberg 10, B-3001 Leuven, Belgium.
Background: Waste and fraud are important problems for health insurers to deal with. With the advent of big data, these insurers are looking more and more towards data mining and machine learning methods to help in detecting waste and fraud. However, labeled data is costly and difficult to acquire as it requires expert investigators and known care providers with atypical behavior.
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