Abstract
Introduction: Initiating insulin therapy in older individuals with type 2 diabetes (T2DM) poses unique challenges and requires a nuanced understanding of the age-related factors that impact safety and efficacy. This study employed Experience-Based Co-Design (EBCD) to enhance the insulin initiation and management experience for this population, emphasising a collaborative
approach involving patients, caregivers, and healthcare professionals.
Aim: The primary aim of the research was to develop a tailored care pathway, utilising co-design and the Behaviour Change Wheel (BCW), which addressed issues specific to older adults on insulin therapy. The study sought to identify key challenges, propose practical interventions, and construct a logic model illustrating a pathway for enhanced insulin treatment experiences.
Methods: An adapted EBCD process was used which integrated the Medical Research Council (MRC) Framework and BCW. The study involved thematic synthesis, video interviews, and feedback focus groups with patients, caregivers, and healthcare professionals. The ’Crazy Eights’ brainstorming method, as part of the co-design workshop, generated practical solutions which informed subsequent logic model development.
Results: Focus group findings revealed distressing insulin initiation experiences, inconsistent dietary advice, and perceived disparities in care between type 1 and type 2 diabetes. The co-design workshop identified eight key challenges, leading to proposed interventions aligned with theBCW. The logic model illustrates a pathway for older individuals undergoing insulin treatment, emphasising behaviour change among patients, caregivers, and healthcare professionals.
Conclusion: The collaborative efforts of participants contributed valuable insights in terms of the unique educational and emotional needs of patients, the importance of care continuity and of improving access to specialist services. Findings from this study can be used to inform and enhance tailored support strategies for older adults with T2DM during their insulin transition and ongoing management.
approach involving patients, caregivers, and healthcare professionals.
Aim: The primary aim of the research was to develop a tailored care pathway, utilising co-design and the Behaviour Change Wheel (BCW), which addressed issues specific to older adults on insulin therapy. The study sought to identify key challenges, propose practical interventions, and construct a logic model illustrating a pathway for enhanced insulin treatment experiences.
Methods: An adapted EBCD process was used which integrated the Medical Research Council (MRC) Framework and BCW. The study involved thematic synthesis, video interviews, and feedback focus groups with patients, caregivers, and healthcare professionals. The ’Crazy Eights’ brainstorming method, as part of the co-design workshop, generated practical solutions which informed subsequent logic model development.
Results: Focus group findings revealed distressing insulin initiation experiences, inconsistent dietary advice, and perceived disparities in care between type 1 and type 2 diabetes. The co-design workshop identified eight key challenges, leading to proposed interventions aligned with theBCW. The logic model illustrates a pathway for older individuals undergoing insulin treatment, emphasising behaviour change among patients, caregivers, and healthcare professionals.
Conclusion: The collaborative efforts of participants contributed valuable insights in terms of the unique educational and emotional needs of patients, the importance of care continuity and of improving access to specialist services. Findings from this study can be used to inform and enhance tailored support strategies for older adults with T2DM during their insulin transition and ongoing management.
Original language | English |
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Article number | e0302516 |
Number of pages | 19 |
Journal | PLoS One |
Volume | 19 |
Issue number | 7 July |
DOIs | |
Publication status | Published - 29 Jul 2024 |
Keywords
- Experience-based co-design
- Type 2 Diabetes
- Logic model
- Insulin