AI Article Synopsis
- The study investigates the obstacles and facilitators healthcare professionals face when delivering personalized care for severe asthma.
- It uses a qualitative approach, including focus groups and interviews, to gather insights and apply the Theoretical Domains Framework to analyze the findings.
- Key themes include barriers and enablers to management, and essential constructs influencing care implementation, such as beliefs about capabilities and environmental resources.
Article Abstract
Background: Whilst multidimensional assessment enables the detection of treatable traits in severe asthma and has the potential to improve patient outcomes, healthcare disparities exist, and little is known about the factors influencing optimal management in severe asthma. This study aimed to explore perceived barriers, and enablers to implementing personalised care in severe asthma, from the healthcare professionals' perspective.
Methods: A descriptive, qualitative study involving a single focus group (n = 7) and semi-structured interviews (n = 33) with multidisciplinary healthcare professionals involved in severe asthma care was conducted. A hybrid thematic and content analysis was undertaken to identify themes, which were then deductively mapped to the Theoretical Domains Framework (TDF).
Results: Overall, three emergent themes were identified: (1) Barriers- (2) Enablers- to optimal management; (3) Desired model of care. Across all TDF domains, 6 constructs influenced development and implementation of optimal care: (1) belief about consequences, (2) environmental context and resources, (3) belief about capabilities, (4) social/professional role and identity, (5) goals and (6) knowledge.
Conclusion: Implementation of personalised care in severe asthma is complex and non-linear. The use of a theory-based approach effectively demonstrated how a variety of behaviours could be targeted to optimise and promote personalised care in different clinical setting.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9173624 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0269038 | PLOS |
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