Browse Items (49 total)

Purpose: To describe the process of delivery of pediatric palliative care from the perspective of a pediatric interdisciplinary team and the children's parents. Methods: A qualitative descriptive case study was conducted. Purposeful sampling took…

Context Despite national requirements mandating collaboration between palliative care specialists and mechanical circulatory support (MCS) teams at institutions that place destination therapy ventricular assist devices, little is known about the…

Background: Families caring for a child with a life limiting condition not only provide 24 hour complex care but also must care for siblings and cope with everyday tasks. Research suggests families could benefit from 'domestic support' (Fraser et al,…

Background: We aimed to explore the shared decision-making context at the limit of viability (weeks 22-25 of gestation) through analyzing neonatologist's communication strategies with parents and their possible impact on survival and…

Background: Empirical descriptions of a 'good death' exist for older adults with cancer, and these have served as the foundation for providing quality end of life care. In contrast, little is known about what, if anything, constitutes a 'good death'…

Purpose: Adolescents and young adults (AYAs) with terminal cancer are a marginalized population with unique medical and psychosocial needs. AYAs commonly report challenges with their health care experiences, however, little is known about the…

Objective: To compare and contrast the perceived care needs of children with life-limiting conditions (CLLC) from the perspectives of the children, parents and healthcare providers. Design: A qualitative case study method using semistructured…

Background: In children with profound intellectual and multiple disabilities (PIMD), discussions about end-of-life decisions (EoLDs) are comparatively common. Nurses play a crucial role in the care for these children, yet their involvement in EoLD…
Output Formats

atom, dcmes-xml, json, omeka-xml, rss2