Presented in this paper is a study that examined the status of unmet healthcare needs of children in vulnerable families and identified factors affecting such unmet needs. The Community Child Center (CCC) Child Panel Survey data in Korea were used. A multiple stepwise logistic regression analysis was performed to examine factors influencing unmet healthcare needs of children. Influencing factors comprised predisposing, enabling, and need factors based on the Andersen Behavioral Model of Health Services Utilization. A total of 340 sixth-graders from vulnerable families participated, and 96 (28.2%) children had unmet healthcare needs. Factors included absence of an after-school caregiver (OR = 1.95, 95% CI [1.16, 3.27]), perceived physical symptoms (OR = 1.33, 95% CI [1.02, 1.73]), parental indifference (OR = 1.33, 95% CI [1.002, 1.77]), duration of daily stay at CCCs (OR = 1.32, 95% CI [1.01, 1.71]), and satisfaction with CCC teachers (OR = 0.65, 95% CI [0.49, 0.85]). The relationship with parents and CCC teachers had the strongest influence on unmet healthcare needs of children. In order to reduce the unmet healthcare needs of children in vulnerable families, existing support structures should be expanded to offer financial and administrative support for children's parents and CCC teachers.
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http://dx.doi.org/10.3390/ijerph17218241 | DOI Listing |
BMJ Open
December 2024
Centre for Rehabilitation and Ageing Research, University of Nottingham, Nottingham, UK.
Objective: To codesign and develop an intervention to promote participation and well-being in children and young people (CYP) with acquired brain injury (ABI) and family caregivers.
Design: A complex intervention development study including a scoping review, mixed-methods study, co-design workshop and theoretical modelling.
Setting: Community-dwelling participants in one geographical region of the UK.
BMJ Open
December 2024
Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy
Objectives: To provide comprehensive information on the burden of myasthenia gravis (MG) in Italy, including the unmet needs of patients and several other aspects related to the disease, based on skilled viewpoints of MG experts.
Design: Iterative analysis conducted in accordance with the best practices of the Delphi method, including anonymity, controlled feedback, and statistical stability of consensus.
Setting And Participants: 24 clinicians, 18 public health experts and 4 patient associations experts completed all the Delphi iterations between 18 April and 3 July 2023, for a total of 46 participants from several Italian Regions.
Neurourol Urodyn
January 2025
Department of Medicine, College of Health Sciences, Faculty of Medicine & Dentistry, Division of Geriatric Medicine, Edmonton, Alberta, Canada.
Context: Improved continence outcomes are reliant on identification of unmet need, education delivery, and shared decision-making. The evidence base on which to derive innovative approaches in these areas was unclear.
Methods: A debate held at the International Consultation on Incontinence-Research Society meeting, held in Bristol in June 2024, considered ways to improve research requirements to advance these areas.
BMC Public Health
January 2025
Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Background: Compared to older adults with breast cancer (BC), adolescents and young adults (AYAs) develop more aggressive disease necessitating more intensive therapy with curative intent, which is disruptive to planned life trajectories. The burden of unmet needs among AYA BC survivors exists in two domains: (1) symptoms (e.g.
View Article and Find Full Text PDFNeuroimage
January 2025
Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany. Electronic address:
Aim: Standardized evaluation of [F]PI-2620 tau-PET scans in 4R-tauopathies represents an unmet need in clinical practice. This study aims to investigate the effectiveness of visual evaluation of [F]PI-2620 images for diagnosing 4R-tauopathies and to develop a straight-forward reading algorithm to improve objectivity and data reproducibility.
Methods: A total of 83 individuals with [F]PI-2620 PET scans were included.
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