Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
Add more filters










Database
Language
Publication year range
1.
JMIR Ment Health ; 11: e49577, 2024 Jan 23.
Article in English | MEDLINE | ID: mdl-38261403

ABSTRACT

BACKGROUND: Mental health difficulties are highly prevalent worldwide. Passive sensing technologies and applied artificial intelligence (AI) methods can provide an innovative means of supporting the management of mental health problems and enhancing the quality of care. However, the views of stakeholders are important in understanding the potential barriers to and facilitators of their implementation. OBJECTIVE: This study aims to review, critically appraise, and synthesize qualitative findings relating to the views of mental health care professionals on the use of passive sensing and AI in mental health care. METHODS: A systematic search of qualitative studies was performed using 4 databases. A meta-synthesis approach was used, whereby studies were analyzed using an inductive thematic analysis approach within a critical realist epistemological framework. RESULTS: Overall, 10 studies met the eligibility criteria. The 3 main themes were uses of passive sensing and AI in clinical practice, barriers to and facilitators of use in practice, and consequences for service users. A total of 5 subthemes were identified: barriers, facilitators, empowerment, risk to well-being, and data privacy and protection issues. CONCLUSIONS: Although clinicians are open-minded about the use of passive sensing and AI in mental health care, important factors to consider are service user well-being, clinician workloads, and therapeutic relationships. Service users and clinicians must be involved in the development of digital technologies and systems to ensure ease of use. The development of, and training in, clear policies and guidelines on the use of passive sensing and AI in mental health care, including risk management and data security procedures, will also be key to facilitating clinician engagement. The means for clinicians and service users to provide feedback on how the use of passive sensing and AI in practice is being received should also be considered. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42022331698; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=331698.


Subject(s)
Artificial Intelligence , Mental Health , Humans , Health Personnel , Machine Learning
2.
Res Gerontol Nurs ; 14(5): 235-243, 2021.
Article in English | MEDLINE | ID: mdl-34542348

ABSTRACT

For long-term care (LTC) residents, multiple barriers impede access to formal museum-based participa-tory art programming. Capitalizing on available technologies may circumvent common barriers and improve quality of life for those older adults even in the presence of dementia. Targets: A convenience sample of 31 older adults was recruited from the population of residents in one LTC facility. Intervention: ArtontheBrain, a web-based program, engages participants in activities centered on visual artwork, enabling users to learn about artists through activities, such as puzzles, storytelling, and group discussions. Mechanisms of Action: Researchers hypothesized that engagement with ArtontheBrain would benefit perceived quality of life in the domains of meaningful activity engagement and personal relationships and secondarily, improvements in functional performance, mood state, and cognitive performance may occur. Outcomes: Application of a quality of life survey pre and post ArtontheBrain intervention revealed significant improvements within the individual subsample for two activity options: engagement in enjoyable activities on weekends and evenings and explore new skills and interests. Total scores for the personal relationship scale had significant improvements post-intervention for the individual and group subsamples. The individual subsample demonstrated improvement in cognitive performance, which worsened for the group subsample. Mood and functional ability worsened for the entire sample.[Research in Gerontological Nursing, 14(5), 235-243.].


Subject(s)
Long-Term Care , Quality of Life , Activities of Daily Living , Aged , Humans , Nursing Homes , Pilot Projects
3.
J Appl Gerontol ; 40(5): 519-528, 2021 05.
Article in English | MEDLINE | ID: mdl-33100108

ABSTRACT

The efficacy of a technology-driven visual arts recreation activity, delivered virtually, was evaluated for its potential to achieve positive impacts, similar to traditional arts-interventions, on wellbeing in long-term care residents. Thirty-one residents (average age 86.8 years; SD = 9.4) engaged with the arts-intervention for 30-minutes, twice weekly, for 6 weeks with either a partner or as part of a group. Wellbeing indicators included self-reported psychological and health-related wellness, and attention capacity. Binomial tests of postintervention change revealed a significant above-chance probability of improvement in one or more wellbeing indicators (p < .05). Postparticipation feedback survey scores were positive (p < .05). Cognitive status did not influence outcome; however, other participant characteristics such as younger age, higher openness-to-experience (personality trait), and lower baseline mood were significantly associated with positive response to the intervention (p < .05). Findings demonstrate technology may be an effective platform for promoting accessibility to beneficial arts-interventions for older adults.


Subject(s)
Affect , Long-Term Care , Aged , Aged, 80 and over , Humans , Recreation , Surveys and Questionnaires
4.
Psychotherapy (Chic) ; 50(4): 490-5, 2013 Dec.
Article in English | MEDLINE | ID: mdl-24295456

ABSTRACT

This study updates three similar investigations conducted in 1981, 1991, and 2001 on APA Division of Psychotherapy members in order to paint a contemporary portrait of psychologists conducting psychotherapy and to chronicle historical trends among Division 29 members. Four hundred twenty-eight psychologists (43% response) completed a questionnaire in 2012 regarding their demographic characteristics, professional activities, theoretical orientations, employment settings, and career experiences. The results point to an increasingly female and aging membership, which continues to be employed primarily in private practices and universities. Psychodynamic (27%), integrative (25%), and cognitive (17%) orientations continue to prevail. Professional activities have remained quite similar across the past 30 years with the exception of declines in projective testing and growth in neuropsychological and health testing. Training and career satisfactions remain high as well.


Subject(s)
Health Personnel/statistics & numerical data , Psychology/methods , Psychology/statistics & numerical data , Psychotherapy/methods , Psychotherapy/statistics & numerical data , Adult , Age Distribution , Aged , Aged, 80 and over , Female , Health Personnel/psychology , Humans , Job Satisfaction , Male , Middle Aged , Professional Practice/organization & administration , Professional Practice/statistics & numerical data , Psychology/organization & administration , Psychotherapy/organization & administration , Sex Distribution , Societies, Scientific , Surveys and Questionnaires , United States , Workload/psychology , Workload/statistics & numerical data
SELECTION OF CITATIONS
SEARCH DETAIL
...