Unlabelled: Burdens of poverty are often compounded by respiratory problems. This study aimed to identify the support needs and intervention preferences for low-income families facing this challenge.
Design And Methods: Interviews were conducted in two Canadian provinces with low-income children/adolescents (n=32) diagnosed with respiratory health problems and their parents or family caregiver (n=37).
Results: These vulnerable children and parents described non-supportive interactions with some health service providers and inadequate information. They reported isolation and support deficits, exacerbated by limited resources and health restrictions. Children/adolescents felt isolated and excluded and wanted to connect with peers. Group or dyadic level support, delivered by peers and health professionals, was desired. The importance of logistics to enhance accessibility and appeal of group or dyadic support interventions was clearly identified.
Conclusions: The findings of this study reveal that low-income children and their families encounter challenges to accessing support and to utilizing support resources.
Practice Implications: Partnerships with low-income children/adolescents and family caregivers in provision of education and social support can combat isolation and ignorance. Reducing inequities for this high risk population could be achieved by providing support from experienced peers, in combination with health professional guidance, and knowledge about pulmonary health.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.pedn.2015.11.013 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A Comparison of Different Machine Learning Classifiers in Predicting Xerostomia and Sticky Saliva due to Head and Neck Radiotherapy using a Multi-objective, Multimodal Radiomics Model.
Biomed Phys Eng Express
January 2025
Radiation Oncology, Emory University, Emory Midtown Hospital, Atlanta, Georgia, 30322, UNITED STATES.
Although radiotherapy techniques are the primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity, and side effect. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on features extracted from pre-treatment imaging data. This study aims to compare different models in predicting radiation-induced xerostomia and sticky saliva in both early and late stage of HNC patients using CT and MRI image features along with demographics and dosimetric information.
View Article and Find Full Text PDFThe influence of sociodemographic and health factors on adherence to home-based rehabilitation after fast-track total knee arthroplasty: secondary analysis of a randomized controlled trial.
Disabil Rehabil
January 2025
Clinic Institute of Medical and Surgical Specialties (ICEMEQ), Hospital Clinic of Barcelona, Barcelona, Spain.
Purpose: Adherence to home rehabilitation following total knee arthroplasty (TKA) is essential to reach optimal functional outcomes, especially in fast-track procedures. The aim of this study is to identify which sociodemographic and health factors significantly affect adherence in this context.
Methods: This is a secondary analysis of a randomized controlled trial with 52 patients.
EEG-derived brainwave patterns for depression diagnosis via hybrid machine learning and deep learning frameworks.
Appl Neuropsychol Adult
January 2025
Faculty Xavier Institute of Engineering, Mahim, India.
In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.
View Article and Find Full Text PDFAnalysis of the Top Articles and Authors of the Journal of Orthopaedic Trauma and Bibliometric Comparison of Impact Factors of Orthopaedic Surgery Journals.
J Orthop Trauma
January 2025
Department of Orthopaedic Surgery, Medical City Denton, 3535 S Interstate 35, Denton, TX 76210, United States.
Objectives: To determine the top 100 cited authors and the top 20 articles in the Journal of Orthopaedic Trauma (JOT) and compare its impact factor to orthopaedic and non-orthopaedic surgery literature.
Design: Review.
Methods: The Web of Science database was used to determine the top 100 cited authors and top 20 cited articles that originated in JOT from 1995 to the present.
Differences in Inpatient Palliative Care Consultation During the Terminal Admission for Pediatric Neuro-Oncology Patients.
Am J Hosp Palliat Care
January 2025
Department of Pediatrics, University of Chicago, Comer Children's Hospital, Chicago, IL, USA.
Pediatric neuro-oncology patients have one of the highest mortality rates among all children with cancer. Our study examines the potential relationship between palliative care consultation and intensity of in-hospital care and determines if racial and ethnic differences are associated with palliative care consultations during their terminal admission. Retrospective observational study using the Pediatric Health Information System (PHIS) database with data from U.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!