Christie, Rachel, Sadler, Euan, Sait, Matthew, Light, Karen, Cox, Chantel, Board, Michele, Thomas, Sarah, Walker, Dawn-Marie, Allen-Pick, Mark, Bradbury, Katherine and Murphy, Jane (2024) Digital empowerment in long-term condition management: a systematic review and narrative synthesis of the experiences and perceptions of home-based digital health coaching interventions. Digital Health, 10. (doi:10.1177/20552076241302230).
Abstract
Objectives: globally, the prevalence of long-term conditions (LTCs) continues to rise. The impact of LTCs presents significant challenges for international health and social care systems and continues to be a leading cause of mortality. Despite this, digital health coaching interventions (DHCIs) appear to be a promising strategy for managing chronic disease. The aims of this systematic review and narrative synthesis were to explore the barriers and enablers for the use of DHCIs and to gather valuable information to inform the development of a new DHCI for LTC management.
Methods: six major databases were searched for studies published in the English language between January 2012 and December 2022. Qualitative and mixed methods studies were included if there was an intervention of digital health coaching alongside the use of a digital component. Interventions were suitable if completed in community settings, amongst adults aged over 18 with a LTC, or amongst informal carers, health coaches, or health and care professionals. Included studies were assessed for quality, and results were analysed with narrative synthesis.
Results: ten studies met the inclusion criteria, covering a range of LTCs and interventions which included digital health coaching (telephone, video, online, text) and the use of a digital component (online, application-based). Results showed that DHCIs require personalisation and feedback, and cannot be overcomplex. Importantly, an element of human connection is favourable.
Conclusions: the acceptability of DHCIs is variable- and context-dependent. Further research is needed to focus on the breadth of LTCs in order to generalise findings.
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