Purpose: This study aims to examine the factors affecting caregivers’ acceptance of the use of wearable devices by patients with dementia by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model with 2 additional constructs: resistance to change (RC) and technology anxiety (TA). Methods: A structured online questionnaire was developed and distributed to caregivers who have either dealt previously with or were currently taking care of patients with dementia in sub-Saharan Africa. The selection of countries for the study was purely based on the availability of caregivers of patients with dementia and their readiness to take part in the survey. Questionnaire data from 350 respondents were analyzed and the hypothesis tested using partial least squares based on structural equation modeling. Result: The results of the extended model show that social influence, effort expectancy, facilitating conditions, and behavioral intention (BI) all had P < .05, thus were statistically significant in explaining the perceived BI and actual use of health-care wearable devices among patients with dementia as reported by caregivers. However, P value for RC and TA was greater than .05, hence were insignificant.

Vaccination has emerged as the most cost-effective public health strategy for maintaining population health, with various social and economic benefits. These vaccines, however, cannot be effective without widespread acceptance. The present study examines the effect of media attention on COVID-19 vaccine hesitancy by incorporating fear of COVID-19 as a mediator, whereas trust in leadership served as a moderator. An analytical cross-sectional study is performed among rural folks in the Wassa Amenfi Central of Ghana. Using a questionnaire survey, we were able to collect 3079 valid responses. The Smart PLS was used to estimate the relationship among the variables. The results revealed that media attention had a significant influence on vaccine hesitancy. Furthermore, the results showed that fear of COVID-19 played a significant mediating role in the relationship between media and vaccine hesitancy. However, trust in leadership had an insignificant moderating relationship on the fear of COVID-19 and vaccine hesitancy. The study suggests that the health management team can reduce vaccine hesitancy if they focus on lessening the negative impact of media and other antecedents like fear on trust in leadership.

Objectives: Extensive analysis of the associations between socioeconomic status and cognition has been conducted among older adults. However, it is not clear whether associations in high-income countries are similar in low-and middle-income countries. This research aims to investigate the association between the socioeconomic status of older adults in Ghana and their cognitive function by using a sample of older adults that is nationally representative. Methods: Data were obtained from a sample of older Ghanaian adults (50+) from the Study of Global AGEing and Adult Health Wave 1 (n = 3710) of the World Health Organization. Objectively, cognition was measured by verbal recall, verbal fluency, forward digit span, and backward digit span, while variations in cognition overall were evaluated against socioeconomic factors using linear regression. Results: Older age, older women, rural life, increasing memory difficulty, and being diagnosed with stroke were the most significant determinants of impaired cognitive function. Higher education and higher income were significantly associated with a better cognitive function than those with no formal education and low income. Conclusions: These results provide new evidence for public health programs in Ghana and other low-and middle-income countries to tackle cognitive impairments in growing populations.

The increasing prevalence of dementia has necessitated the introduction and use of healthcare wearable devices to augment the healthcare services delivered to people with dementia (PWDs). Unfortunately, evidence on user feedback and the real impact of the actual use of these devices on the quality of life of PWDs has not been fully explored, especially in the context of developing countries. This study, therefore, seeks to evaluate the impact of actual use behavior (AUB) of healthcare wearable devices on the quality of life (QoL) of PWDs in Ghana by using constructs from the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model and the SF-36 quality of life instrument. Data were collected from patients with dementia and, in some cases, caregivers (acting as proxies) in three administrative regions of Ghana using structured questionnaires. Of the 420 questionnaires distributed, 356 were returned, giving a response rate of (356/420, 84.8%). Three hundred and twenty (320) responses were used for further analysis, employing the Partial Least Squares based on Structural Equation Modeling. The results showed a significant positive relationship between AUB and QoL (p < 0.001). Other predictors such as behavioral intention, facilitating conditions, effort expectancy and social influence were also found to significantly impact the actual use behavior of healthcare wearable devices among PWDs. The study also revealed that 4% (14) of patients rated their reported health transition associated with the use of healthcare wearable devices as excellent, 42.5% (136) as very good, and 39.4% (126) as good, respectively at the time of the study compared to a year ago. This study provided empirical evidence of the positive impact of the actual use of healthcare wearable devices on the quality of life of PWDs and further highlighted the factors that drive actual use behavior among PWDs in Ghana. Based on the findings of this study, stakeholders need to create the necessary conditions that will facilitate the adoption and use of healthcare wearable devices, as this will help improve the quality of life, reduce the burden of the disease on caregivers, and enable independent living of PWDs.

Socioeconomic status has been found to be a significant predictor of quality of life, with individuals of higher socioeconomic status reporting better quality of life. However, social capital may play a mediating role in this relationship. This study highlights the need for further research on the role of social capital in the relationship between socioeconomic status and quality of life, and the potential implications for policies aimed at reducing health and social inequalities. The study used a cross-sectional design with 1792 adults 18 and older from Wave 2 of the Study of Global AGEing and Adult Health. We employed a mediation analysis to investigate the relationship between socioeconomic status, social capital, and quality of life. The results showed that socioeconomic status was a strong predictor of social capital and quality of life. In addition to this, there was a positive correlation between social capital and quality of life. We found social capital to be a significant mechanism by which adults’ socioeconomic status influences their quality of life. It is crucial to invest in social infrastructure, encourage social cohesiveness, and decrease social inequities due to the significance of social capital in the connection between socioeconomic status and quality of life. To improve quality of life, policymakers and practitioners might concentrate on creating and fostering social networks and connections in communities, encouraging social capital among people, and ensuring fair access to resources and opportunities.