Publication
Title
Using a cross-contextual reciprocal learning approach in a multisite implementation research project to improve self-management for type 2 diabetes
Author
Abstract
This paper reports on the use of reciprocal learning for identifying, adopting and adapting a type 2 diabetes self-management support intervention in a multisite implementation trial conducted in a rural setting in a low-income country (Uganda), a periurban township in a middle-income country (South Africa) and socioeconomically disadvantaged suburbs in a high-income country (Sweden). The learning process was guided by a framework for knowledge translation and structured into three learning cycles, allowing for a balance between evidence, stakeholder interaction and contextual adaptation. Key factors included commitment, common goals, leadership and partnerships. Synergistic outcomes were the cocreation of knowledge, interventions and implementation methods, including reverse innovations such as adaption of community-linked models of care. Contextualisation was achieved by cross-site exchanges and local stakeholder interaction to balance intervention fidelity with local adaptation. Interdisciplinary and cross-site collaboration resulted in the establishment of learning networks. Limitations of reciprocal learning relate to the complexity of the process with unpredictable outcomes and the limited generalisability of results.
Language
English
Source (journal)
BMJ Global Health
Publication
BMJ Publishing Group , 2018
ISSN
2059-7908
DOI
10.1136/BMJGH-2018-001068
Volume/pages
3 :6 (2018) , 9 p.
Article Reference
UNSP e001068
ISI
000457720100029
Pubmed ID
30555727
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
SMART2D: A people-centred approach through Self-Management and Reciprocal learning for the prevention and management of Type-2-Diabetes
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 01.03.2019
Last edited 12.11.2024
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