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A mixed methods realist evaluation of a Digital Life Story Work platform: what works, for whom, under what circumstances and how?

Abstract:

Life Story Work is a fundamental in children’s state care. It is a process of helping children make sense of their experiences to promote their well-being. As society increasingly uses online repositories to store digital artefacts, interest in commissioning Digital Life Story Work (DLSW) platforms grows. However, why, how, when, for whom, and in what circumstances such platforms may help support children with experience of living in state care is unknown. Addressing this gap, we report on the first widespread rollout of a DLSW platform across one English Local Authority. Utilizing a participatory realist evaluation approach, we collected data from 119 participants and involved peer-researchers throughout. This article presents our final programme theory. This illustrates that DLSW is more likely to be optimal when it is: flexible and person-centred; provides future storytelling prompts; starts early; begins in the present; involves children, and constantly offers participation choices; records all aspects of everyday experiences and; when appropriate training and support is available. Findings provide key considerations for commissioners and implementers and begin to build a picture of how DLSW platforms may become embedded in supporting children with experience of living in state care.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/bjsw/bcaf054

Authors

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Role:
Author
ORCID:
0000-0002-0473-3610
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Institution:
University of Oxford
Division:
MSD
Department:
Primary Care Health Sciences
Role:
Author
ORCID:
0000-0002-5384-4157


Publisher:
Oxford University Press
Journal:
British Journal of Social Work More from this journal
Volume:
55
Issue:
5
Pages:
2421–2440
Publication date:
2025-05-21
Acceptance date:
2025-02-10
DOI:
EISSN:
1468-263X
ISSN:
0045-3102


Language:
English
Keywords:
Pubs id:
2125302
Local pid:
pubs:2125302
Deposit date:
2025-05-21
ARK identifier:

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