Realistic nurse-led policy implementation, optimization and evaluation: novel methodological exemplar.

Area of Science:

• Health Policy Implementation
• Realist Evaluation Methods
• Nursing Leadership

Background:

• Complex health policies often fail to improve patient outcomes due to multi-departmental involvement.
• Realist evaluation methodologies are effective but not yet widely adapted for policy implementation.

Purpose of the Study:

• To report the first large-scale, nurse-led implementation, optimization, and evaluation of a complex children's continuing-care policy.
• To adapt and apply realist methods for effective policy implementation in a real-world healthcare setting.

Main Methods:

• Utilized a theory-based realist evaluation approach integrated with diffusion of innovation theory.
• Employed multiple case studies across 12 sites, involving Consultant Nurse implementers and local practitioners.
• Data collection included key-stakeholder interviews, facilitation strategies, and a mini-community of practice to compare outcomes for 137 children.

Main Results:

• Successfully adapted realist principles for a condensed policy implementation and evaluation timeline.
• Identified key success factors: facilitated implementation allowing real-time adaptation, incorporating local expertise to align tools with context, and leveraging existing infrastructure.
• Ten mechanisms were identified that explained implementation success and outcome variations.

Conclusions:

• Facilitated and locally optimized realist policy implementation offers advantages over traditional top-down approaches.
• This approach is particularly beneficial in settings with limited clinical expertise, where natural diffusion of innovation is unlikely without active support.