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Background: There is a political drive in the UK to use assistive technologies such as telehealth and telecare as an innovative and efficient approach to healthcare delivery. However, the success of implementation of such services remains dependent on the ability to engage the wider population to adopt these services. It has been widely acknowledged that low acceptance of technology, forms a key barrier to adoption although findings been mixed. Further, it remains unclear what, if any barriers exist between patients and how these compare to those who have declined or withdrawn from using these technologies. This research aims to address this gap focusing on the UK based Cambridgeshire Community Services Assistive Telehealth and Telecare service, an integrated model of telehealth and telecare.Methods: Qualitative semi-structured interviews were conducted between 1st February 2014 and 1st December 2014, to explore the views and experiences of 'users' and 'non-users' using this service. 'Users' were defined as patients who used the service (N = 28) with 'non-users' defined as either referred patients who had declined the service before allocation (N = 3) or had withdrawn after using the ATT service (N = 9). Data were analysed using the Framework Method.Results: This study revealed that there are a range of barriers and facilitators that impact on the decision to adopt and continue to engage with this type of service. Having a positive attitude and a perceived need that could be met by the ATT equipment were influential factors in the decision to adopt and engage in using the service. Engagement of the service centred on 'usability', 'usefulness of equipment', and 'threat to identity and independence'.Conclusions: The paper described the influential role of referrers in decision-making and the need to engage with such agencies on a strategic level. The findings also revealed that reassurance from the onset was paramount to continued engagement, particularly in older patients who appeared to have more negative feelings towards technology. In addition, there is a clear need for continued product development and innovation to not only increase usability and functionality of equipment but also to motivate other sections of the population who could benefit from such services. Uncovering these factors has important policy implications in how services can improve access and patient support through the application of assistive technology which could in turn reduce unnecessary cost and burden on overstretched health services. [ABSTRACT FROM AUTHOR]

• Experience of certain material deprivation pattern varies significantly across the world. • Children from Europe have almost no likelihood of belonging to the Extreme Deprivation class. • Children living in MENA are more likely to experience housing and mobile deprivation. • Children living in Africa are more likely to experience lack of access to digital resources in addition to deficit of basic necessities. • Children living in Eastern Europe are more likely to experience transportation deprivation. Current research suggests that poverty affects children at different rates across the world (OECD, 2018; Unicef Innocenti Research Center, 2007). Additionally, poverty affects children differently – from deprivation of basic needs (ex. lack of food, clothing) to lack of access to digital technology. Previous studies of child poverty and its impact on children have predominantly approached this topic using income-based measures of poverty. This paper employs a material deprivation approach to study child poverty in different cultural contexts. Therefore, this study answers the following questions: Does child material deprivation have different patterns across world regions? If so, what characteristics do these patterns of material deprivation have? Are these patterns of material deprivation more likely to affect certain world regions? This paper utilizes data from the International Survey of Child Well-Being. The data includes children at the age of 12 from Norway, Germany, England, Spain, Malta, Estonia, Romania, Algeria, Israel, Turkey, Ethiopia, and South Africa. The analyses were based on the items available in the Child Material Resource Index. Latent class analysis and multinomial logistic regression were utilized to explore patterns of material deprivation. Findings suggest five patterns of child material deprivation, ranging from extreme to no deprivation. The distribution of these patterns varies significantly across world regions. This study suggests that the distribution of resources to eliminate poverty should be based not only on income-based indicators but should also include an assessment based on perceived deprivation scales, especially in international contexts. [ABSTRACT FROM AUTHOR]