Balancing the skills: the need for an improvement pyramid

Determining the skills needed by frontline NHS staff to deliver quality improvement: findings from six case studies

Background

Previous studies have detailed the technical, learning and soft skills healthcare staff deploy to deliver quality improvement (QI). However, research has mainly focused on management and leadership skills, overlooking the skills frontline staff use to improve care. Our research explored which skills mattered to frontline health practitioners delivering QI projects.

Study design

We used a theory-driven approach, informed by communities of practice, knowledge-in-practice-in-context and positive deviance theory. We used case studies to examine skill use in three pseudonymised English hospital Trusts, selected on the basis of Care Quality Commission rating. Seventy-three senior staff orientation interviews led to the selection of two QI projects at each site. Snowball sampling obtained a maximally varied range of 87 staff with whom we held 122 semistructured interviews at different stages of QI delivery, analysed thematically.

Results

Six overarching ‘Socio-Organisational Functional and Facilitative Tasks’ (SOFFTs) were deployed by frontline staff. Several of these had to be enacted to address challenges faced. The SOFFTs included: (1) adopting and promulgating the appropriate organisational environment; (2) managing the QI rollercoaster; (3) getting the problem right; (4) getting the right message to the right people; (5) enabling learning to occur; and (6) contextualising experience. Each task had its own inherent skills.

Conclusion

Our case studies provide a nuanced understanding of the skills used by healthcare staff. While technical skills are important, the ability to judge when and how to use wider skills was paramount. The provision of QI training and fidelity to the improvement programme may be less of a priority than the deployment of SOFFT skills used to overcome barriers. QI projects will fail if such skills and resources are not accessed.

Simple rules for evidence translation in complex systems: A qualitative study

BACKGROUND

Ensuring patients benefit from the latest medical and technical advances remains a major challenge, with rational-linear and reductionist approaches to translating evidence into practice proving inefficient and ineffective. Complexity thinking, which emphasises interconnectedness and unpredictability, offers insights to inform evidence translation theories and strategies. Drawing on detailed insights into complex micro-systems, this research aimed to advance empirical and theoretical understanding of the reality of making and sustaining improvements in complex healthcare systems.

METHODS

Using analytical auto-ethnography, including documentary analysis and literature review, we assimilated learning from 5 years of observation of 22 evidence translation projects (UK). We used a grounded theory approach to develop substantive theory and a conceptual framework. Results were interpreted using complexity theory and 'simple rules' were identified reflecting the practical strategies that enhanced project progress.

RESULTS

The framework for Successful Healthcare Improvement From Translating Evidence in complex systems (SHIFT-Evidence) positions the challenge of evidence translation within the dynamic context of the health system. SHIFT-Evidence is summarised by three strategic principles, namely (1) 'act scientifically and pragmatically' - knowledge of existing evidence needs to be combined with knowledge of the unique initial conditions of a system, and interventions need to adapt as the complex system responds and learning emerges about unpredictable effects; (2) 'embrace complexity' - evidence-based interventions only work if related practices and processes of care within the complex system are functional, and evidence-translation efforts need to identify and address any problems with usual care, recognising that this typically includes a range of interdependent parts of the system; and (3) 'engage and empower' - evidence translation and system navigation requires commitment and insights from staff and patients with experience of the local system, and changes need to align with their motivations and concerns. Twelve associated 'simple rules' are presented to provide actionable guidance to support evidence translation and improvement in complex systems.

CONCLUSION

By recognising how agency, interconnectedness and unpredictability influences evidence translation in complex systems, SHIFT-Evidence provides a tool to guide practice and research. The 'simple rules' have potential to provide a common platform for academics, practitioners, patients and policymakers to collaborate when intervening to achieve improvements in healthcare.