There is an ongoing need to incorporate the perspectives of people in supported community housing to improve the provision of integrated mental health services. This study aimed to explore the satisfaction and experiences of people who have received supported housing and mental health services. We conducted a retrospective, mixed methods study using a data mining approach, analyzing consumer satisfaction survey responses collected on discharge from the service over a 7-year period. Responses from 178 consumers aged between 20 and 62 years were included. Quantitative results indicated that consumers rated the quality of services as relatively high. Analysis of qualitative responses identified seven themes describing people's views on how they had benefitted from the service. Consumers reported benefits in terms of practical and emotional supports, responsiveness of the team to their needs, socialization and community integration, personal growth and recovery, and finding 'my place'. Themes of learning and skills development were also important. These results suggest that practical support, together with emotional expressions of care and compassion are most valued by people who participated in this service. This research has implications for service evaluation and for future research, which may include focusing on the key role of connectedness, 'my place' and hope for recovery.
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http://dx.doi.org/10.1007/s10597-019-00406-8 | DOI Listing |
PLoS One
January 2025
Institute for Human Development, Aga Khan University, Nairobi, Kenya.
Introduction: Children growing up in arid and semi-arid regions of Sub-Saharan Africa (SSA) face heightened risks, often resulting in poor developmental outcomes. In Kenya, the arid and semi-arid lands (ASAL) exhibit the lowest health and developmental indicators among children. Despite these risks, some children grow up successfully and overcome the challenges.
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January 2025
Kaiser Permanente San Jose Psychiatry, San Jose, California, United States of America.
The COVID-19 pandemic created unprecedented challenges for social connectivity and mental health, especially during mandated shelter-in-place periods. For patients engaged in mental health treatment, the social impact of their shelter-in-place experience remains an area of active investigation. This is particularly relevant in the context of social prescribing, a growing area of clinical intervention where healthcare providers actively refer patients to local social resources or activities to enhance mental health and wellbeing.
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January 2025
Department of Education, Minzu University of China, Beijing, China.
Background: As the pace of economic development slows, college students are facing an increasingly challenging employment landscape. For instance, the expansion of higher education has led to a swell in the number of job seekers, which has in turn intensified competition. Given the limited job opportunities, it's understandable that many college students are developing a pessimistic employment mindset.
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January 2025
Department of Plant Protection, IPB University, Bogor, Indonesia.
Smallholder farmers produce over 40% of global palm oil, the world's most traded and controversial vegetable oil. Awareness of the effects of palm oil production on ecosystems and human communities has increased drastically in recent years, with ever louder calls for the private and public sector to develop programs to support sustainable cultivation by smallholder farmers. To effectively influence smallholder practices and ensure positive social outcomes, such schemes must consider the variety in perspectives of farmers and align with their priorities.
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January 2025
Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania, Brazil.
This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of improving the diagnosis and treatment of coronary artery disease. The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. A total of 83 clinical routine exams were collected, each exam containing 50 slices, which is 4,150 images.
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