Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Anders Brantnell"'
Autor:
Oscar Blomberg, Frida Svedin, Paul Farrand, Anders Brantnell, Louise von Essen, Johanna Patriksson Karlsson, Anna Cristina Åberg, Joanne Woodford
Publikováno v:
BMC Geriatrics, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Despite depression being prevalent in people with dementia, contributing to negative health outcomes and placing increased burden on individuals and family members, access to psychological interventions is limited. A potential sol
Externí odkaz:
https://doaj.org/article/d9d6f0f8607947758eeff3a1223440ed
Autor:
Frida Svedin, Oscar Blomberg, Anders Brantnell, Paul Farrand, Anna Cristina Åberg, Joanne Woodford
Publikováno v:
BMC Geriatrics, Vol 23, Iss 1, Pp 1-18 (2023)
Abstract Background Depression is commonly experienced by people with dementia, and associated with lower quality of life and functional decline. However, access to evidence-based psychological interventions for people with dementia and depression is
Externí odkaz:
https://doaj.org/article/16e874b0e3364912a63e23457e32973c
Autor:
Louise von Essen, Oscar Blomberg, Joanne Woodford, Anna Cristina Åberg, Paul Farrand, Frida Svedin, Anders Brantnell
Publikováno v:
BMJ Open, Vol 13, Iss 12 (2023)
Introduction Mental health difficulties such as anxiety and depression have negative impacts on psychological well-being and are common in people with dementia and mild cognitive impairment. However, access to psychological treatments is limited. Thi
Externí odkaz:
https://doaj.org/article/23363ff4fa2047a1b25382495b26f5f5
Autor:
Frida Svedin, Oscar Blomberg, Anders Brantnell, Paul Farrand, Anna Cristina Åberg, Joanne Woodford
Publikováno v:
BMC Geriatrics, Vol 24, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/ae34c25194144b0f9a6c2fdd8b37fa53
Publikováno v:
JMIR Research Protocols, Vol 12, p e44562 (2023)
Background The internet of things (IoT) is recognized as a valuable approach to supporting health care to achieve quality and person-centered care. This study aims to identify the facilitators and barriers associated with implementing IoT solutions i
Externí odkaz:
https://doaj.org/article/af77cc81b6fa4dfc8b793d13823b6b0c
Publikováno v:
JMIR Human Factors, Vol 10, p e44688 (2023)
BackgroundDigital mental health represents a way to increase access to evidence-based psychological support. However, the implementation of digital mental health in routine health care practice is limited, with few studies focusing on implementation.
Externí odkaz:
https://doaj.org/article/d10dfb9e2eb6428d9ebb362cfd12d667
Publikováno v:
Annals of 3D Printed Medicine, Vol 7, Iss , Pp 100067- (2022)
Background: Additive manufacturing (AM) is a fast-developing technology with possible applications in cardiology. Existing research has identified two general factors that can influence implementing AM in cardiology: economics and technology. Objecti
Externí odkaz:
https://doaj.org/article/0c24ce6750e54fc195e984afd279b3f7
Autor:
Louise von Essen, Oscar Blomberg, Joanne Woodford, Chelsea Coumoundouros, Anna Cristina Åberg, Paul Farrand, Frida Svedin, Anders Brantnell
Publikováno v:
BMJ Open, Vol 11, Iss 7 (2021)
Introduction Dementia is a worldwide health concern with incident rates continuing to increase. While depression prevalence is high in people with dementia and psychological interventions such as cognitive behavioural therapy (CBT) are effective, acc
Externí odkaz:
https://doaj.org/article/598a80d9ba034f5992d2f31765802a6a
Publikováno v:
Health Research Policy and Systems, Vol 17, Iss 1, Pp 1-17 (2019)
Abstract Background Healthcare research funders may undertake various roles to facilitate implementation of research findings. Their ability to enact such roles depends on several factors, knowledge of implementation being one essential requirement.
Externí odkaz:
https://doaj.org/article/0d4287a858f34771b12e88f436919672
Publikováno v:
Oral and Maxillofacial Surgery.
Purpose Additive manufacturing (AM) is an innovative printing technology that can manufacture 3-dimensional solid objects by adding layers of material from model data. AM in oral and maxillofacial surgery (OMFS) provides several clinical applications