Purposes: To explain parental expectations of support from healthcare providers for their parenting roles and goals during a child's life-threatening illness (LTI).
Design And Methods: Qualitative interpretive study guided by the Family Adjustment and Adaptation Response Model. Thematic analyses were conducted with data from 31 semi-structured interviews of parents of children with LTI using systematic strategies to ensure rigor including audit trails and prolonged engagement.
Results: We identified three themes and one meta-theme or overall theme: (1) "Help us survive this," (2) "Let's fight together: please fight with me, not against me, to care for my family," and (3) "Guide me through the darkness: I am suffering." Overall, the parents conveyed that they expect mutuality with the health care providers and system in order to keep Fighting together for my family survival.
Conclusions: In the daily work of caring for their families, parents of children with LTI consider survival on multiple levels. They consider the life, illness, and potential death of one child while considering the on-going survival and sustenance of family relationships.
Practice Implications: Parents are distressed and grapple with conflicted feelings about managing competing needs of various family members. Relationships with health care providers can influence parents' management of the situation and be a source of support as their parenting role changes over the illness trajectory, time, and in response to adversity.
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http://dx.doi.org/10.1016/j.pedn.2017.05.008 | DOI Listing |
BMC Psychol
January 2025
Universidad Nacional de Trujillo, Trujillo, Perú.
Background: In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates the psychosocial factors influencing AI adoption among Peruvian university students and uses an extended UTAUT2 model to examine various constructs that may impact AI acceptance and use.
Method: This study employed a quantitative approach with a survey-based design.
Z Evid Fortbild Qual Gesundhwes
January 2025
Department Digital Health Sciences and Biomedicine, School of Life Sciences, University of Siegen, Siegen, Germany.
Background: Pregnant women and their families, especially those navigating chronic illness or challenging life situations, often seek information and counseling. The pregnancy period and the transition to parenthood can exacerbate these circumstances, leaving families particularly vulnerable. Addressing stressful situations becomes a hurdle in this context.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Research Center for Palliative Care, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, P.R. China.
Background: The promotion of healthy dietary behaviors in adolescence is critical, which have long-term implications for lifelong health. Integration is an important method for improving limited theories of dietary behavior change. The present study proposes an integrated model aimed at identifying the diverse determinants of healthy dietary behaviors in adolescents and assesses its stage-specific nature as the potential for effective interventions.
View Article and Find Full Text PDFJMIR Pediatr Parent
January 2025
International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Background: Globally, 10% of pregnant women and 13% of postpartum women experience mental disorders. In Bangladesh, nearly 50% of mothers face common mental disorders, but mental health services and trained professionals to serve their needs are scarce. To address this, the government of Bangladesh's Non-Communicable Disease Control program initiated "Wellbeing Centers," telemental health services in selected public hospitals.
View Article and Find Full Text PDFForensic Sci Int Genet
December 2024
CHU Lille, Unité Fonctionnelle de Toxicologie, Lille F-59000, France; Universite de Lille, ULR 4483 - IMPECS - IMPact de l'Environnement Chimique sur la Santé, Lille, France.
Genetic polymorphism can cause variation in tramadol (TR) pharmacokinetic characteristics and the expected clinical response. In forensic toxicology, the data about parent and metabolite concentrations (MRs; metabolic ratios) could facilitate to determine the cause of death and to assess time between drug intake and death. In this study, the aim was to investigate if UGT1A8, UGT2B7, ABCC2, and SLC22A1 genotyping can facilitate interpretation by investigating the frequency of UGT1A8, UGT2B7, ABCC2, and SLC22A1 genotypes in forensic autopsy cases positive for TR and to assess whether there is a correlation between these genetic variants and MRs.
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