A Toolkit for Delirium Identification and Promoting Partnerships Between Carers and Nurses: A Pilot Pre-Post Feasibility Study.

BACKGROUND: Delirium is frightening for people experiencing it and their carers, and it is the most common hospital-acquired complication worldwide. Delirium is associated with higher rates of morbidity, mortality, residential care home admission, dementia, and carer stress and burden, yet strategies to embed the prevention and management of delirium as part of standard hospital care remain challenging. Carers are well placed to recognize subtle changes indicative of delirium, and partner with nurses in the prevention and management of delirium. OBJECTIVE: To evaluate a Prevention & Early Delirium Identification Carer Toolkit (PREDICT), to support partnerships between carers and nurses to prevent and manage delirium. DESIGN: A pre-post-test intervention and observation study. MAIN MEASURES: Changes in carer knowledge of delirium; beliefs about their role in partnering with nurses and intended and actual use of PREDICT; carer burden and psychological distress. Secondary measures were rates of delirium. PARTICIPANTS: Participants were carers of Indigenous patients aged 45 years and older and non-Indigenous patients aged 65 years and older. INTERVENTION: Nurses implemented PREDICT, with a view to provide carers with information about delirium and strategies to address caregiving stress and burden. KEY RESULTS: Participants included 25 carers (43% response rate) (n = 17, 68% female) aged 29-88 (M = 65, SD = 17.7 years). Carer delirium knowledge increased significantly from pre-to-post intervention (p = < .001; CI 2.07-4.73). Carers' intent and actual use of PREDICT was (n = 18, 72%; and n = 17, 68%). Carer burden and psychological distress did not significantly change. The incidence of delirium in the intervention ward although not significant, decreased, indicating opportunity for scaling up. CONCLUSION: The prevention and management of delirium are imperative for safe and quality care for patients, carers, and staff. Further comprehensive and in-depth research is required to better understand underlying mechanisms of change and explore facets of nursing practice influenced by this innovative approach.

The role of trust and habit in the adoption of mHealth by older adults in Hong Kong: a healthcare technology service acceptance (HTSA) model.

BACKGROUND: Evidence from the literature suggests that mobile health (mHealth) services can potentially improve healthcare outcomes among older adults. Hence, the government of Hong Kong has recently taken several community and information technology (IT) services initiatives to train older adults on how to enhance their abilities and interest in using mHealth technology. Although mHealth services have been widely implemented globally, their adoption and use by older adults are very low, including those in Hong Kong. This study aims to understand key factors influencing mHealth use intention among the older Chinese population in Hong Kong. METHODS: We extended the Unified Theory of Acceptance and Use of Technology (UTAUT2) as the basis of our conceptual framework. We applied Partial Least Squares path modeling method to conduct the Structural Equation Model (SEM) technique that allows measuring the theoretical validity of any conceptual framework. Convenience and snowball sampling methods were used to recruit participants aged 65 or above. In total, 201 valid responses were used for testing the theoretical validity of the proposed conceptual framework. RESULTS: The primary finding shows that the widely used UTAUT2 model falls short in explaining mHealth service acceptance behavior in the Chinese older population in Hong Kong. We further propose a simplified model, the Healthcare Technology Service Acceptance (HTSA) model, to understand the formation of mHealth service acceptance behavior. The findings show that trust is an important component of technology service acceptance intention behavior that was missing in the UTAUT2 model. The results also show that several antecedent factors (i.e., social influence, government policy, and service quality) are critical in forming technology trust beliefs. CONCLUSIONS: The study shows that the HTSA model can better explain mHealth acceptance behavior than the UTAUT2 model. This study advances knowledge in the mHealth technology adoption domain by proposing a simplified new version of the UTAUT2 model for understanding healthcare technology service acceptance and use intention among older adults. The findings of the study provide valuable information to the Hong Kong government and healthcare organizations for wider adoption of mHealth services, especially in older adults.

Factors influencing the elderly's adoption of mHealth: an empirical study using extended UTAUT2 model.

BACKGROUND: Despite the high usage of mobile phones in daily life in developing countries like Bangladesh, the adoption and usage of mHealth services have been significantly low among the elderly population. When searching previous studies, the researchers have found that no studies have empirically investigated whether the quality of life and service quality are significant for mHealth adoption by elderlies in Bangladesh. Hence, this study aimed to extend the Unified Theory of Acceptance and Use of Technology by adding service quality and the quality of life to empirically find the key factors that influence elderlies' intention to adopt and use mHealth services in Bangladesh. METHODS: A face-to-face structured questionnaire survey method was used to collect data from 493 elderlies (aged 60 years and above) in Bangladesh. The data were analyzed with the Structural Equations Modelling (SEM) and Fuzzy Set Qualitative Comparative Analysis (fsQCA). RESULTS: SEM results suggested that Social Influence, Hedonic Motivation, Price Value, Habit, and Service Quality had significant impact (p < 0.05) on the elderlies' behavioral intention to adopt mHealth services. Service Quality, Quality of Life, and elderlies' Habit were found significant in explaining the Use Behavior of mHealth services. Quality of Life did not show significant (p > 0.05) effect on Behavioral Intention, which is inconsistent with existing literature. In addition, fsQCA findings suggest how the intensity of the influencers may contribute to high versus low m-health behavioral outcomes. CONCLUSIONS: The findings have significant implications for theory, practice and future research as explained in the paper. The originality of this study is the integration of quality of life and service quality into UTUAT2 to explain the users' behavioural intention and use behaviour. Overall, the findings may contribute to shaping appropriate policies for designing and implementing mHealth services effectively for elderlies in developing countries.

Smart home technology to support older people's quality of life: A longitudinal pilot study.

AIM: This pilot study aimed to explore the impact of Smart Home technology to support older people's quality of life, particularly for those who live alone. BACKGROUND: There has been an increased interest in using innovative technologies and artificial intelligence to enable Smart Home technology to support older people to age independently in their own homes. METHODS: This study used a pre-and post-test design. The seven item Personal Wellbeing Index was used to measure participants' subjective quality of life across seven quality of life domains. Participants (n = 60) aged between 68 and 90 years (M = 80.10, SD = 5.56) completed a 12-week personalised Smart Home technology program. RESULTS: Approximately half of the participants lived alone (48.3%). Participants' quality of life significantly increased (p = 0.010) after Smart Home use. Two domains, "achieving in life" (p = 0.026) and "future security" (p = 0.004), were also significantly improved after participating in the Smart Home technology program. Improvements in quality of life did not vary as a function of living arrangement (all ps > .152, all η p 2  > .00). CONCLUSION: The current study provides preliminary evidence for the role of Smart Home technology in supporting older people's quality of life, particularly their sense of achieving in life and future security.

Factors that predict the acceptance and adoption of smart home technology by seniors in Australia: a structural equation model with longitudinal data.

Smart Home Technology presents an exciting opportunity to support seniors living independently in their homes. Despite widespread interest in Smart Homes, seniors' readiness to adopt Smart Home Technology is low. To determine the factors underpinning Australian seniors' acceptance and adoption of Smart Home Technology using an extended UTAUT model that includes Trust, Resistance to Change and Technology Anxiety. A longitudinal study was conducted to validate the proposed model prior to and after the implementation of a pilot Smart Home Modification program for seniors. Structural Equation Modeling has been applied to test the proposed hypotheses using a sample of 60 seniors in regional Australia. Perceived Usefulness is an important predictor of Smart Home Technology adoption by seniors. Trust was found to indirectly predict adoption of Smart Home Technology via Perceived Usefulness. This study showed that Perceived Usefulness and Trust are critical factors for the acceptance and use of SHT by seniors, validating the extension of UTAUT with a Trust factor. This makes a unique theoretical contribution to the literature with implications for aged care providers and policymakers to consider seniors' perceived usefulness and trust in the design, development, and implementation of Smart Home solutions.

Partnering with carers in the management of delirium in general acute care settings: An integrative review.

OBJECTIVES: Delirium is a common, preventable condition. However, delirium is poorly recognised and often missed because symptoms are misinterpreted, and risk factors overlooked by health-care professionals. Carers usually have intimate knowledge about the person they care for. Therefore, they are well placed within care teams to implement delirium prevention strategies, identify symptoms and support the early diagnosis of delirium. The aim of this integrative review was to synthesise findings from the published research reporting on partnering with carers in the management of delirium in general acute care settings. METHODS: Five databases (Medline-EBSCO, PubMed, PsycINFO, ProQuest, CINAHL and SCOPUS) were searched to identify primary research regarding partnering with carers in the management of delirium in acute care settings, and results were synthesised. PRISMA guidelines were adhered to, and quality appraisal was conducted using the Mixed Methods Appraisal Tool. RESULTS: All seven studies reported that partnering with carers was a viable strategy in the management of delirium to maximise outcomes for people at risk of or experiencing delirium and that increasing carers' knowledge of delirium was key. The synthesis of findings also identified two themes: Increasing knowledge and Effective partnerships. CONCLUSIONS: A collaborative approach to increasing carers' and nurses' knowledge about the management of delirium, coupled with education on how to develop therapeutic nurse-carer relationships, is important for ongoing effective partnerships in the management of delirium. Good communication supported effective partnerships, which enabled both nurses and carers the opportunity to express their needs and concerns and negotiate collaborative involvement in the management of delirium.

Antecedents of self-protective behavior during the COVID-19 pandemic in Bangladesh.

Context: Self-protective behavior (SPB) plays a significant role in controlling the spread of infection of a pandemic like coronavirus disease (COVID-19). Little research has been conducted to examine critical factors influencing SPB, especially in a developing country like Bangladesh. Aims: This study aimed to develop and test a theoretical model based on the extended information-motivation-behavior (IMB) skills model to investigate factors associated with SPB among Bangladeshi people. Methods: An online, cross-sectional survey was conducted on Bangladesh citizens (18 years and older) from June 1 and July 31, 2020. A total of 459 responses were used to assess the proposed model's overall fit and test the hypothesized relationships among the model constructs. Statistical Analysis Used: The data were analyzed using partial least squares structural equation modeling to identify relationships among model variables. Results: Health information-seeking behavior, health motivation, self-efficacy, and health consciousness (HC) (P < 0.05) had a significant impact on SPB among Bangladeshi people. The results identified the consequences of various degrees of HC on SPB in the COVID-19 outbreak. Conclusions: This study confirms the IMB model's applicability for analyzing SPB among people in developing countries like Bangladesh. The findings of this study could guide policymakers to develop and implement targeted strategies to ensure timely and transparent information for motivating people to improve SPB during the COVID-19 and in case of a future outbreak of an epidemic.

Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model.

BACKGROUND: mHealth (mobile health) services are becoming an increasingly important form of information and communication technology (ICT) enabled delivery for healthcare, especially in low-resource environments such as developing countries like Bangladesh. Despite widespread adoption of mobile phones and the acknowledged potential of using them to improve healthcare services, the adoption and acceptance of this technology among the elderly is significantly low. However, little research has been done to draw any systematic study of the elderly's intention to adopt mHealth services. OBJECTIVE: The aim of this study was to develop a theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and then empirically test it for determining the key factors influencing elderly users' intention to adopt and use the mHealth services. METHODS: A face-to-face structured questionnaire survey method was used to collect data from nearly 300 participants of age 60 years and above from the capital city of Bangladesh. The data were analyzed using the Partial Least Squares (PLS) method, a statistical analysis technique based upon Structural Equation Modeling (SEM). RESULTS: The study determined that performance expectancy, effort expectancy, social influence, technology anxiety, and resistance to change (p<0.05) had a significant impact on the users' behavioral intention to adopt mHealth services. The study, however, revealed no significant relation between the facilitating condition and the users' behavioral intention to use the mHealth services (p>0.05). CONCLUSIONS: This study confirms the applicability of UTAUT model in the context of mHealth services among the elderly in developing countries like Bangladesh. It provides valuable information for mHealth service providers and policy makers in understanding the adoption challenges and the issues and also provides practical guidance for the successful implementation of mHealth services. Additionally the empirical findings identify implications related to the design and development of mHealth services that influence potential users. Furthermore, due to a generic approach, the findings of this study could be easily modified to assist other developing countries in the planning and up-take of mHealth services.

Investigating factors influencing the adoption of e-Health in developing countries: A patient's perspective.

PURPOSE: The aim of the study was to investigate factors that influence the adoption and use of e-Health applications in Bangladesh from citizens' (patients') perspectives by extending the technology acceptance model (TAM) to include privacy and trust. METHODS: A structured questionnaire survey was used to collect data from more than 350 participants in various private and public hospitals in Dhaka, the capital city of Bangladesh. The data were analyzed using the partial least-squares (PLS) method, a statistical analysis technique based on structural equation modeling (SEM). RESULTS: The study determined that perceived ease of use and perceived usefulness and trust (p < 0.05) were significant factors influencing the intention to adopt e-Health. Privacy (p > 0.05) was identified as a less significant factor in the context of e-Health in Bangladesh. The findings also revealed that gender was strongly associated with the adoption and use of e-Health services. CONCLUSIONS: The findings of the present study contribute to the development of strategies and policies to enhance e-Health services in Bangladesh. Furthermore, as a result of the generic approach used in this study, the acceptance model developed can be easily modified to investigate the adoption of e-Health in other developing countries.

An Integrated Patient Information and In-Home Health Monitoring System Using Smartphones and Web Services.

Modern healthcare systems are undergoing a paradigm shift from in-hospital care to in-home monitoring, leveraging the emerging technologies in the area of bio-sensing, wireless communication, mobile computing, and artificial intelligence. In-home monitoring promises to significantly reduce healthcare spending by preventing unnecessary hospital admissions and visits to healthcare professionals. Most of the in-home monitoring systems, proposed in the literature, focus on monitoring a set of specific vital signs. However, from the perspective of caregivers it is infeasible to maintain a collection of specialized monitoring systems. In this paper, we view the problem of in-home monitoring from the perspective of caregivers and present a framework that supports various monitoring capabilities while making the complexity transparent to the end users. The essential idea of the framework is to define a 'general purpose architecture' where the system specifies a particular protocol for communication and makes it public. Then any bio-sensing system can communicate with the system as long as it conforms to the protocol. We then argue that as the system grows in terms of number of patients and bio-sensing systems, artificial intelligence technologies need to be employed for patients' risk assessment, prioritization, and recommendation. Finally, we present an initial prototype of the system designed according to the proposed framework.

Cost and Time Effectiveness Analysis of a Telemedicine Service in Bangladesh.

Telemedicine has great potential to overcome geographical barriers to providing access to equal health care services, particularly for people living in remote and rural areas in developing countries like Bangladesh. A number of telemedicine systems have been implemented in Bangladesh. However, no significant studies have been conducted to determine either their cost effectiveness or efficiency in reducing travel time required by patients. In addition, very few studies have analyzed the attitude and level of satisfaction of telemedicine service recipients in Bangladesh. The aim of this study was to analyze the cost and time effectiveness of a telemedicine service, implemented through locally developed PC based diagnostic equipment and software in Bangladesh, compared to conventional means of providing those services. The study revealed that the introduced telemedicine service reduced cost and travel time on average by 56% and 94% respectively compared to its counterpart conventional approach. The study also revealed that majority of users were highly satisfied with the newly introduced telemedicine service. Therefore, the introduced telemedicine service can be considered as a low cost and time efficient health service solution to improve health care facilities in the remote rural areas in Bangladesh.