Discharge decisions have significant implications for older adults and their involved family members. Evidence of older adult and family members' engagement in discharge decision-making, however, varies widely. Some recent work shows assumed associations between ageing, diminished participation in healthcare decision-making and increased reliance on family members. Other research suggests that family members adopt strategies to promote older adults' participation in decision-making. Relational autonomy theory suggests that individuals have differing levels of autonomy and that individuals' agency can be supported (or marginalized) by others. Using three case studies, we examine traditional and relational conceptions of autonomy and explore how relational approaches could inform healthcare practice. Taking a critical feminist bioethics perspective, we present a secondary analysis of three microethnographic case studies focused on discharge planning with older adults in one Canadian inpatient rehabilitation setting. The data consist of observations of discharge planning family conferences and semi-structured interviews with older adults and family members. Tensions between older adults' wishes to return home and their diminished participation in discharge decisions, and family members' assumption of a primary role in discharge decision-making and their wish for the older adult to move to a supported setting were apparent. To reconcile these tensions, the older adults' family members in these cases employed strategies to promote older adults' participation in decision-making that were consistent with relational autonomy theory. The analysis suggests that older adults' participation in discharge decision-making processes could be better promoted through relational approaches.Implications for rehabilitation • Adopting an approach guided by relational autonomy might better enable patients to participate in decision-making than would an approach guided by traditional conceptions of autonomy. • Rehabilitation professionals could seek assistance from family members and guide them toward collaborative partnerships. • A range of strategies may be employed to customize relational approaches to enhance autonomy: • having several different conversations with patients to enable multiple chances to contribute knowledge and views; • involving family members or taking the time to explain information several different times and in diverse manners; • showing patients videos or photos of discharge locations; • exploring a breadth of potential discharge options; • accompanying patients to visit different options in person; and • getting patients in touch with individuals who have made similar choices. • It is recognized that taking a relational approach might be time-consuming and that practice contexts may not be conducive to such practice.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1080/09638288.2018.1483430 | DOI Listing |
Breast Cancer Res Treat
January 2025
Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian , China.
Purpose: Age stratification influences the clinicopathological features and survival outcomes of breast cancer. We aimed to understand the effect of age on gene variants in young Chinese women with breast cancer compared with those from The Cancer Genome Atlas (TCGA).
Methods: Enrolled patients ≤ 40 years old (N = 370) underwent germline or somatic genetic testing using a 32-gene hereditary cancer panel at Fujian Union Hospital.
Breast Cancer Res Treat
January 2025
Division of Medical Oncology, Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, 8700 Beverly Blvd., Los Angeles, CA, 90048, USA.
Purpose: There is an increasing incidence of young breast cancer (YBC) patients with uncertainty surrounding the factors and patterns that are contributing.
Methods: We obtained characteristics and survival data from 206,156 YBC patients (≤ 40 years of age) diagnosed between 2005 and 2019 from the National Cancer Database (NCDB). Patients were subdivided into two comparison groups based on year of diagnosis (2005-2009, Old vs.
Eur J Epidemiol
January 2025
Department of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Stockholm, Sweden.
The Stockholm Early Detection of Cancer Study (STEADY-CAN) cohort was established to investigate strategies for early cancer detection in a population-based context within Stockholm County, the capital region of Sweden. Utilising real-world data to explore cancer-related healthcare patterns and outcomes, the cohort links extensive clinical and laboratory data from both inpatient and outpatient care in the region. The dataset includes demographic information, detailed diagnostic codes, laboratory results, prescribed medications, and healthcare utilisation data.
View Article and Find Full Text PDFJ Ethn Subst Abuse
January 2025
Arizona State University, Tempe, Arizona.
Unlabelled: The large majority (over 70%) of American Indian adolescents who reside in cities rather than tribal lands or rural areas report relatively earlier onset of substance use and more harmful associated health effects, compared to their non-Native peers.
Objective: This study investigated multilevel ecodevelopmental influences on empirically derived patterns of substance use among urban American Indian adolescents.
Method: Data came from 8th, 10th, and 12th grade American Indian adolescents ( = 2,407) in metropolitan areas of Arizona.
Ann Surg Oncol
January 2025
Department of Surgery, Duke University Medical Center, Durham, NC, USA.
Background: Bilateral risk-reducing mastectomies (RRMs) have been proven to decrease the risk of breast cancer in patients at high risk owing to family history or having pathogenic genetic mutations. However, few resources with consolidated data have detailed the patient experience following surgery. This systematic review features patient-reported outcomes for patients with no breast cancer history in the year after their bilateral RRM.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!