Conectar
Three-quarters of mental health problems start before the age of 25. However, young people are the least likely to receive mental healthcare. Some young people (such as those from ethnic minorities) are even less likely to receive mental healthcare than others. Long-term impacts of mental health problems include poorer physical health, relationships, education and employment. We aim to elicit the views, experiences and needs of diverse young people (aged 16–24 years), to better understand (1) their experiences of under-representation, mental health and coping, (2) mechanisms that shape mental health trajectories and (3) how online arts and culture might be made engaging and useful for young people’s mental health. We also aim to do this with autistic young people.
Narrative inquiry will be employed as a tool for gathering young people’s perspectives for an iterative analysis. The narrative method proposes that critical insights and knowledge are distributed across social systems and can be discovered in personal stories and that knowledge can be relayed, stored and retrieved through these stories. Data will be transcribed and explored using a combination of thematic and intersectional analysis. Young people will be core members of the research team, shape the research and be involved in the coding of data and interpretation of the findings.
This study (IRAS project ID 340259) has received ethical approval from the HRA and Health and Care Research Wales (REC reference 24/SC/0083). The outputs will identify touch points and refine the logic model of how online arts and culture might support the mental health of those from under-represented backgrounds. We will share knowledge with young people, policy makers, health professionals, carers, teachers, social workers and people who work in arts and culture. We will produce research papers, blogs, newsletters, webinars, videos and podcasts.
To explore patient participation in decision-making during nursing care experienced by patients with chronic diseases, family members and nurses.
Focused ethnography.
This study included an 8-month fieldwork in a Chinese hospital. Fieldnotes from 90 h of participant observation and 30 semi-structured interviews (10 nurses, 13 patients, three family members, and four with both patients and family members present) were analysed using reflexive thematic analysis.
Patient participation in decision-making was facilitated in the form of co-determination, which respected patients' relational autonomy. However, participation required further development or was challenged in the form of unilateral determination, constraining relational autonomy. Interpersonal relationships among nurses, patients and family members played a significant role in promoting patient participation in decision-making.
A relational autonomy framework was identified to understand patient participation in decision-making within nursing care. While patient participation is encouraged and autonomy is respected in some situations, paternalistic approaches still persist in clinical practice.
Enhancing nurses' awareness of involving patients and family members in decision-making is needed. The findings highlight the need for better integration and implementation of existing guidelines to support healthcare staff, patients and family members. They also point to the importance of developing culturally relevant frameworks to promote patient participation in decision-making in nursing care.
This research provided insight into the experiences of chronically ill patients, family members and nurses regarding patient participation in decision-making during inpatient nursing care within a non-Western context. Interpersonal dynamics are highlighted as a key element influencing patient participation.
The study is reported using the COREQ checklist.
No patient or public contribution.
Background
A realist approach has gained popularity in evaluation research, particularly in understanding causal explanations of how a program works (or not), the circumstances, and the observed outcomes. In qualitative inquiry, the approach has contributed to better theoretically based explanations regarding causal interactions.
Objective
The aim of this study was to discuss how we conducted a realist-informed data analysis to explore the causal interactions within qualitative data.
Methods
We demonstrated a four-step realist approach of retroductive theorizing in qualitative data analysis using a concrete example from our empirical research rooted in the critical realism philosophical stance. These steps include (a) category identification, (b) elaboration of context-mechanism-outcome configuration, (c) demi-regularities identification, and (d) generative mechanism refinement.
Results
The four-step qualitative realist data analysis underpins the causal interactions of important factors and reveals the underlying mechanisms. The steps produce comprehensive causal explanations that can be used by related parties—especially when making complex decisions that may affect wide communities.
Discussion
The core process of realist data analysis is retroductive theorizing. The four-step qualitative realist data analysis facilitates this theorizing by allowing the researcher to identify (a) patterns, (b) fluctuation of patterns, (c) mechanisms from collected data, and (d) to confirm proposed mechanisms. 
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