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Tailoring reablement: A grounded theory study of establishing reablement in a community setting in Norway.

Cathrine Fredriksen MoeBerit Støre Brinchmann
Published in: Health & social care in the community (2017)
Reablement is an interprofessional, home-based rehabilitation service that aims to enable senior residents to cope with everyday life and to prevent functional impairments. Systematic accounts of what practitioners actually do when establishing reablement are lacking. This study aims to generate a grounded theory of practitioners' patterns of action when establishing reablement. The study is located in Norway, and grounded theory is the methodological approach. Data were collected from January 2014 to August 2016 through participant observations, focus group interviews and individual interviews. Informants are municipal healthcare employees in different organisational areas associated with the process of establishing reablement services (managers of conventional home care and representatives from the administration and service-provider offices). Altogether, 17 individuals are interviewed. The empirical data are analysed several times using open, selective and theoretical coding. The grounded theory, "tailoring reablement," includes three phases-replicating, adapting and establishing-and the strategies of collaborating, developing knowledge, habituating and filtering. The theory of tailoring reablement also includes the impact of the contextual factors. The study seeks to bridge the gap between research and practice. The theory of tailoring reablement emerges from an inductive approach and theorises participants' actions. The theory focuses on the phases from innovation to implementation. Establishing a new service model in a complex welfare setting requires a wide range of actors and agencies. Tailoring reablement also requires flexibility and professional autonomy. It is important to create terms and conditions for this within a stringent health and care service. The insights of this study have implications for practice development of reablement and can fit other public sector fields.
Keyphrases
  • healthcare
  • mental health
  • primary care
  • palliative care
  • electronic health record
  • emergency department
  • big data
  • machine learning
  • health information
  • climate change