Background: A recent policy change dictates that all mental healthcare in Norway must be referred and documented in the medical record of the service users. This has not been the case within low threshold mental health services, which is services without referrals, social arenas where healthcare professionals are available and where service users themselves can choose to attend based on their self-reported needs. This challenges the idea of "healthcare" being a medical term as opposed to experienced and expressed by the service user. A new healthcare understanding that includes the service users' voices are thus needed, and the aim of this study is to explore how service users within low threshold services, understand, describe, and experience healthcare.
Methods: The present study has used the photovoice approach to explore how four service users perceive and experience healthcare in a low threshold context. The chosen photovoice method enabled service users to reflect upon and communicate their experiences first visually by individual pictures and thereafter reflective texts emerged through seven workshops. A qualitative thematic analysis was performed based on the pictures, notes and audiotaped material from the workshops.
Results: The analysis found three main themes showing how healthcare is experienced: availability of people, availability of places and availability of activities. This is illustrated through the following sub-themes: First, common community, good relations and fellowship, second, flexible and easily accessible support, which includes the opportunity to spend time and to try things out in a safe environment, and third, facilitation and motivation for participation and activity, given the opportunity to have a meaningful role and be seen as a resourceful human being.
Conclusions: A new understanding of healthcare is needed in the context of recovery-oriented low threshold services, as today`s largely medical understanding of healthcare is challenging to connect to a relational, recovery-oriented understanding of healthcare. As healthcare are to be documented in service users medical record, further research should explore how to document healthcare based on a new or extended, relational understanding of healthcare.
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http://dx.doi.org/10.1186/s12913-022-08013-2 | DOI Listing |
Sci Robot
March 2025
NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
Rehabilitation robotics aims to promote activity-dependent reorganization of the nervous system. However, people with paralysis cannot generate sufficient activity during robot-assisted rehabilitation and, consequently, do not benefit from these therapies. Here, we developed an implantable spinal cord neuroprosthesis operating in a closed loop to promote robust activity during walking and cycling assisted by robotic devices.
View Article and Find Full Text PDFRev Bras Enferm
March 2025
Universidade Católica Portuguesa. Porto, Portugal.
Objectives: to evaluate health gains sensitive to nursing care in the context of long-term home care.
Methods: this was a quantitative, retrospective study carried out in the north of Portugal. The sample consisted of 151 users aged 18 or over.
Brief Bioinform
March 2025
School of Artificial Intelligence, Jilin University, 3003 Qianjin Street, Changchun 130012, Jilin Province, China.
Identifying genes causally linked to cancer from a multi-omics perspective is essential for understanding the mechanisms of cancer and improving therapeutic strategies. Traditional statistical and machine-learning methods that rely on generalized correlation approaches to identify cancer genes often produce redundant, biased predictions with limited interpretability, largely due to overlooking confounding factors, selection biases, and the nonlinear activation function in neural networks. In this study, we introduce a novel framework for identifying cancer genes across multiple omics domains, named ICGI (Integrative Causal Gene Identification), which leverages a large language model (LLM) prompted with causality contextual cues and prompts, in conjunction with data-driven causal feature selection.
View Article and Find Full Text PDFEur Arch Psychiatry Clin Neurosci
March 2025
Institute of General Practice and Family Medicine, LMU University Hospital, LMU, Munich, Germany.
We present a cross-sectional analysis of 1391 outpatients and 280 inpatients participating in subprojects of the Research Training Group POKAL, of whom 1609 had a PHQ-9 score ≥ 5 and 62 reported depression with antidepressant use. Antidepressant use was lower among outpatients than inpatients (28.5% vs.
View Article and Find Full Text PDFHealth Expect
April 2025
Department of Psychology, University of Limerick, Limerick, Ireland.
Background: Experience-Based Co-Design (EBCD) is a popular collaborative process where service users and healthcare providers share their experiences of using and delivering services to identify ways to adapt services to enhance those experiences.
Objective: This study aimed to identify enablers and barriers to the successful implementation of EBCD as part of Ireland's recently adopted Enhanced Community Care (ECC) programme.
Design: Service users and staff at two sites (N = 17) participated in an accelerated EBCD process designed to enhance service provision for older people and those living with chronic conditions.
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