A systematic review of the patient and carer-related facilitators and barriers to the adoption of assistive technologies for the care of older adults
ABSTRACT
Background:
Assistive technologies (AT) are used increasingly in community settings for the management of older adults’ health and care. Despite a rapid increase in the capabilities and uptake of these technologies, gaps remain in understanding main barriers to their usage.
Objective:
This systematic review investigated the barriers and facilitators to the use of AT in the care of older adults. PROSPERO: CRD42021266656.
Methods:
Six electronic databases were searched from January 2011 to March 2024. Primary studies were included if they used qualitative methods reporting findings related to barriers or facilitators to the implementation of AT for older adults (from the perspective of either carers or older adults) in community settings. All data were screened independently by two reviewers. Study quality was assessed using the Critical Appraisal Skills Programme (CASP). Data from each included study were synthesized using thematic synthesis, before barriers were mapped against the domains of the Technology Acceptance Model.
Results:
Ninety-five studies were included in the review. Ten barriers - privacy, cost, insufficient knowledge, fear of misuse, usability, poor functionality, perceived lack of need, stigma and lack of human interaction were identified, as well as three facilitators –awareness of health benefits, targeted training, and user-centred design. Volume of output in the field of barriers to AT use has increased three-fold post COVID-19 in comparison to the previous decade. Persistent barriers relating to all domains of the technology Acceptance Model were identified, with the majority of these relating to the ‘behavioural intention to use’ domain. The majority of studies had a moderate/high risk of bias.
Conclusions:
There remain distinct barriers to sustained usage of AT for the care of older adults, particularly concerning adoption as defined by the Technology Acceptance Model. Further studies investigating the acceptability of ATs are needed to increase understanding of optimization strategies.
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