Multi-Site Quality Improvement Projects: A Practical Guide for NHS Teams

Introduction

Multi-site quality improvement (QI) projects are increasingly recognised as a vital mechanism for driving systemic change and standardising care across the NHS. Unlike single-site projects, which focus on improvements within one specific area or department, multi-site initiatives involve collaboration across several independent clinical units, trusts, or even regions. This distributed approach can amplify the benefits of QI, allowing for more robust data collection, quicker identification of effective interventions, and the shared burden of implementation.

However, the logistical and governance challenges of working across multiple organisations can be considerable. Successful multi-site QI requires meticulous planning, effective communication strategies, and a strong understanding of each participating site's local context and governance structures. This guide will help you navigate these complexities, offering practical advice to ensure your multi-site QI project is impactful and sustainable.

Why This Topic Matters

The NHS faces shared challenges across many trusts, from patient flow bottlenecks and medication safety concerns to variations in clinical outcomes. Addressing these issues collaboratively through multi-site QI offers several compelling advantages:

• Enhanced Generalisability: Findings from multiple sites are often more representative and generalisable, making it easier to advocate for wider adoption of successful interventions.
• Accelerated Learning: Sharing experiences, successes, and failures across sites allows for rapid learning and adaptation, reducing the time it takes to identify and implement effective changes.
• Leveraged Resources: Pooled resources, expertise, and data can lead to more comprehensive assessments and more robust interventions than individual sites could achieve alone.
• Reduced Variation: Multi-site projects are excellent vehicles for standardising care processes and reducing unwarranted variation in clinical practice.
• Professional Networks: They foster invaluable professional networks and a culture of collaborative improvement across organisational boundaries.

For junior doctors and trainees, participating in multi-site QI can be an excellent opportunity to develop advanced QI skills, build a network, and contribute to system-wide change, often forming a strong foundation for portfolio development and career progression.

Practical Explanation

A multi-site QI project typically follows the same core principles as single-site QI (e.g., using frameworks like Plan-Do-Study-Act – PDSA), but with added layers of coordination and governance. Key distinctions include:

Project Scope and Aims

Defining a clear, shared aim is paramount. This aim must be relevant and resonate with all participating sites. The scope needs to be carefully considered to ensure it's ambitious enough to warrant collaboration but manageable across diverse settings. Avoid aims that are too broad or rely on interventions that are not feasible for all sites.

Stakeholder Engagement and Governance

This is often the most complex aspect. Each participating organisation will have its own QI, clinical audit, information governance (IG), and research departments. Securing buy-in and formal approval from key individuals and departments at all sites from the outset is crucial. This often involves:

• Forming a Steering Group: A multi-disciplinary group with representation from each site and relevant expertise (e.g., clinical, QI, data, management, patient voice).
• Formal Agreements: Establishing memoranda of understanding (MOUs) or data sharing agreements (DSAs) to outline roles, responsibilities, data usage, and intellectual property.
• Clear Reporting Lines: Ensuring each site understands its reporting requirements and who to escalate issues to locally and within the wider project structure.

Data Collection and Management

Standardisation is key. Variability in data collection methods, definitions, and IT systems across sites can undermine the integrity and comparability of results. Strategies include:

• Common Data Dictionary: Developing a shared glossary of terms, definitions, and data points to ensure consistency.
• Standardised Tools: Using identical data collection forms, surveys, or digital tools across all sites.
• Centralised Data Storage: Implementing a secure, agreed-upon method for data aggregation and analysis, adhering to all IG requirements and local policies.
• Data Quality Checks: Regular reviews to ensure accuracy and completeness of data submitted by each site.

Communication Strategy

Effective communication is the lifeblood of multi-site QI. Without it, sites can feel isolated, progress can stall, and engagement can wane. Consider:

• Regular Meetings: Scheduled virtual or in-person meetings for the steering group and for site-level leads.
• Centralised Communication Hub: A shared online platform (e.g., Microsoft Teams, SharePoint) for document sharing, updates, and discussions.
• Feedback Loops: Mechanisms for sites to provide feedback on interventions, share local adaptations, and report challenges.

Common Pitfalls

Multi-site QI projects, while rewarding, are not without their challenges. Awareness of these common pitfalls can help in proactive mitigation:

• Lack of Central Coordination: Without a dedicated and well-resourced central coordinating team or individual, momentum can quickly be lost.
• Insufficient Stakeholder Engagement: Failing to secure early and sustained buy-in from senior management, frontline staff, and relevant governance bodies at every site.
• Data Inconsistency: Variations in how data is collected, defined, or recorded across sites can invalidate comparisons and conclusions.
• Information Governance Hurdles: Overlooking complex data sharing agreements and local IG approval processes, leading to delays or project termination.
• Burnout and Lack of Dedicated Time: Frontline staff involvement in QI is often in addition to their clinical duties. If dedicated time or backfill is not provided, engagement can drop.
• "Not Invented Here" Syndrome: Resistance to adopting interventions or processes developed elsewhere, without considering local context for adaptation.
• Measuring Everything, Changing Nothing: Over-focus on data collection without clear links to actionable insights or cycles of change.

Step-by-Step Approach

Whilst every project is unique, a structured approach is beneficial:

Step 1: Define the Problem and Shared Aim

• Identify a Common Pain Point: What issue affects multiple sites and could benefit from a collaborative solution?
• Craft a SMART Aim: Define specific, measurable, achievable, relevant, and time-bound outcomes that all sites agree upon.
• Identify Key Stakeholders: Who needs to be involved/aware from the very beginning (e.g., clinical leads, managers, IT, IG, patient representatives)?

Step 2: Establish Governance and Collaboration Structures

• Form a Multi-Site Steering Group: Appoint a project lead and representation from each participating site.
• Develop a Project Charter: Outline the aim, scope, roles, responsibilities, communication plan, and preliminary timeline.
• Navigate IG and Local Approvals: Begin discussions with IG, clinical audit, and research departments at all sites early. Determine if an NHS REC review is required (often not for QI, but depends on scope). Ensure DSAs are in place.

Step 3: Standardise Measures and Data Collection

• Define Key Metrics: What process and outcome measures will demonstrate success? Ensure these are meaningful and actionable.
• Create a Data Dictionary: Provide clear, unambiguous definitions for all data points.
• Design Standardised Tools: Develop common data collection forms or identify shared digital platforms. Consider pilot testing these tools.
• Plan Data Flow and Storage: Agree on secure methods for data submission, aggregation, and analysis in line with IG policies.

Step 4: Develop and Pilot Interventions

• Co-Design Interventions: Leverage collective expertise to develop interventions adaptable to different site contexts.
• Initial Small-Scale Pilots (PDSA Cycles): Encourage sites to test changes on a small scale, gathering rapid feedback and making adjustments. Emphasise learning over perfect execution initially.
• Centralised Learning: Use regular meetings to share learning from pilot sites, refine interventions, and inform subsequent PDSA cycles.

Step 5: Implement and Monitor Progress Across Sites

• Phased Roll-out: Consider a phased implementation approach, rather than simultaneous, depending on project complexity.
• Ongoing Data Collection and Analysis: Regularly collect and analyse data to track progress against the aim.
• Visual Management: Use run charts or control charts to display data for all sites, promoting transparency and healthy competition.
• Regular Communication: Maintain frequent and open communication channels to address challenges, celebrate successes, and sustain engagement.

Step 6: Sustain and Spread

• Embed Changes: Work with sites to ingrain successful changes into routine practice, updating local policies and training.
• Dissemination: Share learning and outcomes broadly within the NHS and potentially through publications or conferences.
• Future Planning: Identify opportunities for further improvement or scaling the intervention to other sites.

Example in Clinical Practice

Consider a multi-site QI project aimed at reducing the length of stay (LOS) for elective hip arthroplasty patients across three acute NHS trusts in a region. The existing average LOS varied between 4.5 and 7 days, with differing discharge pathways.

Common Problem: Unwarranted variation in LOS for elective hip arthroplasty leads to bed occupancy pressures and potential for delayed rehabilitation.

Shared Aim: To reduce the average LOS for elective hip arthroplasty patients to 4 days across all three participating trusts within 12 months, without increasing readmission rates.

Approach:

1. Steering Group: Formed with orthopaedic consultants, physiotherapists, ward managers, and QI leads from each trust, plus a regional project manager.
2. Governance: Initial meetings with Trust Clinical Audit and IG departments. A regional data sharing agreement (DSA) was drafted and approved.
3. Data Standardisation: Agreed on common definitions for LOS, readmission, and complications. Standardised data collection forms (digital) were implemented for pre-operative assessment, daily progress, and discharge planning using a shared secure platform.
4. Intervention Co-design: Identified best practices from the lowest LOS site (e.g., early mobilisation protocols, dedicated discharge coordinator roles, pre-operative patient education). Each site developed tailored PDSA cycles to test these changes locally.
5. Implementation & Monitoring: All sites began implementing bundles of interventions (e.g., 'Enhanced Recovery After Surgery' – ERAS pathways, standardisation of analgesic protocols). Data was reviewed monthly on shared run charts, showing individual trust and aggregate regional LOS. Challenges with staffing for early physiotherapy were shared and addressed through regional workforce planning discussions.
6. Sustainability: After 12 months, all three trusts had reduced their average LOS to 4 days or less, with no increase in 30-day readmissions. The optimised pathways were embedded in trust policies, and a regional 'ERAS network' was established for ongoing sharing and improvement.

This example illustrates how a structured, collaborative multi-site approach can achieve significant, sustainable improvements across different NHS organisations.

How Lazomis Can Help

Lazomis offers a suite of tools designed to support the coordination and execution of multi-site quality improvement projects:

• Project Management Templates: Our platform provides structured templates to define project aims, scope, milestones, and responsibilities, which can be adapted for multi-site use to ensure consistency across teams.
• Shared Data Collection & Visualisation: Lazomis can facilitate the creation of standardised data collection forms accessible to multiple sites, allowing for secure aggregation and real-time visualisation of progress through customisable dashboards and run charts. This supports consistent data quality and allows for comparison across sites while adhering to data governance principles.
• Communication Hubs: Utilise integrated communication features or link to external platforms to maintain a central repository for documentation, project updates, and discussions, enhancing collaboration and reducing communication overhead.
• Learning & Dissemination: Lazomis can help capture and document learning from PDSA cycles across different sites, making it easier to share successful interventions and insights with the wider project group and beyond. This supports robust reporting for audit and publication purposes.

Lazomis helps teams manage the complexities of multi-site projects, providing a structured environment for planning, executing, and monitoring QI activities effectively, always in support of local clinical judgement and governance. This resource supports, but does not replace, clinical judgement. Local policy, formulary and specialist advice should be followed.

Key Takeaways