Literature DB >> 27922290

Implementing an interprofessional model of self-management support across a community workforce: A mixed-methods evaluation study.

Stefan Tino Kulnik1,2, Heide Pöstges1,2, Lucinda Brimicombe1,2, John Hammond1, Fiona Jones1,2.   

Abstract

The importance of implementing self-management support (SMS) is now widely accepted, but questions remain as to how. In 2015, we facilitated the implementation of an interprofessional model of SMS (Bridges Self-Management) for people with complex multiple long-term conditions through community rehabilitation and social care services in one Southeast England locality. Over 90 professionals and support workers from this workforce received interprofessional training to integrate SMS into their care and rehabilitation interactions. This gave an opportunity to explore how SMS can be implemented in practice. We conducted a mixed-methods study with unequal weighting (qualitative emphasis), concurrent timing, and embedded design. Staff provided written feedback and case reflections, participated in group discussions, and completed a survey of self-management beliefs and attitudes. We recruited a convenience sample of 10 service users and conducted qualitative interviews and standardised questionnaires. Findings showed that staff appreciated and benefited from the interprofessional learning environment. Staff reported changes in their interactions with service users and colleagues and had gained knowledge and confidence to support individuals to self-manage. Data also highlighted the need to facilitate SMS practice at the level of service organisation. Service user data illustrated the impact of interactions with staff, and how SMS had increased service users' confidence and encouraged different skills to manage life with their conditions. This project has shown how multi-agency community teams can benefit from interprofessional training to enhance SMS for people living with long-term conditions, build a shared understanding of SMS, and integrate effective SMS strategies into everyday practices.

Entities:  

Keywords:  Community rehabilitation; interprofessional education; long-term conditions; mixed-methods; self-management support; social care

Mesh:

Year:  2016        PMID: 27922290     DOI: 10.1080/13561820.2016.1246432

Source DB:  PubMed          Journal:  J Interprof Care        ISSN: 1356-1820            Impact factor:   2.338


  8 in total

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7.  Co-designing personalised self-management support for people living with long Covid: The LISTEN protocol.

Authors:  Celayne Heaton-Shrestha; Anna Torrens-Burton; Fiona Leggat; Ishrat Islam; Monica Busse; Fiona Jones
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8.  Implementing Supported Self-Management in Community-Based Stroke Care: A Secondary Analysis of Nurses' Perspectives.

Authors:  Lisa Kidd; Joanne Booth; Maggie Lawrence; Anne Rowat
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  8 in total

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