AIM: The study aimed to identify the effectiveness of the buddy program training module to enhance the daily living function, social participation and emotional status of older adults in residential aged care homes.
METHODS: A quasi-experimental study was conducted with 30 pairs of buddies and older adults for both the experimental group and control group in two randomly selected residential aged care homes. The buddies in the experimental group received the buddy program training module related to activities of daily living (basic and instrumental) while the buddy-older adults pairs in the control group continued to perform their usual daily life activities in residential aged care homes. Baselines were performed before intervention and at eight weeks post-intervention.
RESULTS: Over the eight weeks, for the older adults in the experimental group, there was a significant main effect of time after the intervention on BADL (p = 0.010). There were no significant interaction effects for the experiment group and control group on IADL and social participation. Also, there were no significant interaction effects for all domains in emotional status: depression, anxiety and stress. For buddies, there was a significant interaction effect for depression (p = 0.045) in the control group.
CONCLUSIONS: The buddy program training module can be used as a guideline for older adults with more significant disabilities in residential aged care homes in managing activities of daily living. Future studies could be implemented to explore the intergenerational buddy program among older adults and young children in the community.
METHODS: Thirty-five research organizations from Europe, North-Africa, Western Asia, and the Americas promoted the survey through their networks to the general society, in 7 languages (English, German, French, Arabic, Spanish, Portuguese, and Slovenian). Questions were presented in a differential format with questions related to responses "before" and "during" confinement conditions.
RESULTS: 1047 participations (54% women) from Asia (36%), Africa (40%), Europe (21%), and others (3%) were included in the analysis. Findings revealed psychosocial strain during the enforced COVID-19 home confinement. Large decreases (p < 0.001) in the amount of social activity through family (-58%), friends/neighbors (-44.9%), or entertainment (-46.7%) were triggered by the enforced confinement. These negative effects on social participation were also associated with lower life satisfaction (-30.5%) during the confinement period. Conversely, the social contact score through digital technologies significantly increased (p < 0.001) during the confinement period with more individuals (+24.8%) being socially connected through digital technology.
CONCLUSION: These preliminary findings elucidate the risk of psychosocial strain during the early COVID-19 home confinement period in 2020. Therefore, in order to mitigate the negative psychosocial effects of home confinement, implementation of national strategies focused on promoting social inclusion through a technology-based solution is strongly suggested.
METHODS: This cross-sectional observational study included 75 older adults who were at least 3 months poststroke and 50 age-matched healthy controls. Depressive symptoms were quantified using the World Health Organization Quality of Life Brief version (WHOQoL-BREF). Physical function was examined using Functional Ambulation Category, grip strength, 5 times Sit-to-Stand test, and Box and Block tests. The Montreal Cognitive Assessment and visual-manual reaction time were used to index cognitive function. Depressive symptom was quantified using the Patient Health Questionnaire-9. The Barthel Index and Fatigue Severity Scale were used to quantify activity limitation. Social participation and environmental participation were assessed using the Assessment of Life Habit and Craig Hospital Inventory of Environment Factors, respectively. Linear stepwise regression models were used to determine explanators for WHOQoL-BREF domain scores.
RESULTS: Individuals with stroke demonstrated significantly worse QoL on all WHOQoL-BREF domains compared with healthy controls. Stroke was a strong determinant for QoL and explained 16% to 43% of variances. Adding other outcome measures significantly improved the robustness of the models (R change = 12%-32%). The physical, psychological, social, and environmental domains of WHOQoL-BREF were all explained by the LIFE-H scores (β = -10.58, -3.37, 4.24, -5.35, respectively), while psychological, social, and environmental domains were explained by Montreal Cognitive Assessment scores (β = .47, 0.78, 0.54, respectively).
CONCLUSION: Social participation and cognition were strong determinants of QoL among urban-dwelling older adults with stroke. Social and recreational activities and cognitive rehabilitation should therefore be evaluated as potential strategies to improve the well-being of older adults affected by stroke.
METHODS: A total of 229 community-dwelling older adults aged 60 years or older participated in this study. Variables were measured using the Geriatric Depression Scale (GDS-15), Revised University of California at Los Angeles Loneliness Scale (R-UCLA), Satisfaction with Life Scale (SWLS), and Mini-Mental State Examination (MMSE).
RESULTS: There was an independent association between DSI and quality of life (P < .05) and between DSI and hearing loss alone and cognitive function (P < .05) in older adults. In addition, higher education was associated with better quality of life and cognitive function.
CONCLUSIONS: DSI is a significant factor affecting the quality of life and cognitive function in older adults. Sociodemographic factors such as education play an important role in improving quality of life and cognitive function. Thus, increasing the awareness of this disability is important to ensure that older adults receive the necessary support services and rehabilitation to improve their level of independence.
METHOD: An audio-taped focus group interview was undertaken with 14 medical students using a semi-structured interview guide. The recorded discussion was transcribed verbatim and thematic analysis was performed.
RESULTS: Initial apprehension about interacting with patients lessened as the students engaged in shared activities. Students described their increased awareness of the normality and competence of psychiatric patients. As future doctors, they reported a greater understanding of the benefits of social inclusion for patients and carers alike. Promoting positive experiences of patient contact … may be important in influencing medical students' attitudes to people with mental illness
DISCUSSION: Medical students' joint participation in a group activity programme for people with mental illness in non-hospital settings may have advantages in promoting positive attitudinal change. Clinical teachers could usefully incorporate this type of experience into the undergraduate psychiatry curriculum.
MATERIALS AND METHODS: A technology survey was completed by professionals (n = 36) attending O&M workshops in Malaysia. A revised survey was completed online by O&M specialists (n = 31) primarily in Australia. Qualitative data about technology use came from conferences, workshops and interviews with O&M professionals. Descriptive statistics were analysed together with free-text data.
RESULTS: Limited awareness of apps used by clients, unaffordability of devices, and inadequate technology training discouraged many O&M professionals from employing existing technologies in client programmes or for broader professional purposes. Professionals needed to learn smartphone accessibility features and travel-related apps, and ways to use technology during O&M client programmes, initial professional training, ongoing professional development and research.
CONCLUSIONS: Smartphones are now integral to travel with low vision or blindness and early-adopter O&M clients are the travel tech-experts. O&M professionals need better initial training and then regular upskilling in mainstream O&M technologies to expand clients' travel choices. COVID-19 has created an imperative for technology laggards to upskill for O&M tele-practice. O&M technology could support comprehensive O&M specialist training and practice in Malaysia, to better serve O&M clients with complex needs.Implications for rehabilitationMost orientation and mobility (O&M) clients are travelling with a smartphone, so O&M specialists need to be abreast of mainstream technologies, accessibility features and apps used by clients for orientation, mobility, visual efficiency and social engagement.O&M specialists who are technology laggards need human-guided support to develop confidence in using travel technologies, and O&M clients are the experts. COVID-19 has created an imperative to learn skills for O&M tele-practice.Affordability is a significant barrier to O&M professionals and clients accessing specialist travel technologies in Malaysia, and to O&M professionals upgrading technology in Australia.Comprehensive training for O&M specialists is needed in Malaysia to meet the travel needs of clients with low vision or blindness who also have physical, cognitive, sensory or mental health complications.
FINDINGS AND CONCLUSIONS: Stroke recovery involves adapting to new limitations and discovering the support necessary to live life. These changes are influenced by a range of environmental factors. Healthcare professionals need to support stroke patients in identifying challenges and work to find innovative ways to address them. Stroke survivors may benefit from the use of an assistive device beyond its clinical function to participate purposefully in activities of daily living. Implications for Rehabilitation Stroke is a cause of disability that limits everyday activities and reduces social participation. Assistive devices help achieve independence, social inclusion and shape stroke recovery. Individuals with disabilities in low and middle income countries often do not have access to assistive devices and resort to innovative solutions that are purpose built. Stroke recovery involves adapting to new limitations and discovering the support necessary to live life as best as possible.
METHOD: The relationship between chronic disease and disability (independent and dependent variables) was examined using logistic regression. To demonstrate variability in activity performance with functional impairment, graphing was used. The relationship between functional impairment, activity performance, and social participation was examined graphically and using ANOVA. The impact of cognitive deficits was quantified through stratifying by dementia.
RESULTS: Disability is strongly related to chronic disease (Wald 25.5, p < .001), functional impairment with activity performance (F = 34.2, p < .001), and social participation (F= 43.6, p < .001). With good function, there is considerable variability in activity performance (inter-quartile range [IQR] = 2.00), but diminishes with high impairment (IQR = 0.00) especially with cognitive deficits.
DISCUSSION: Environment modification benefits those with moderate functional impairment, but not with higher grades of functional loss.