Why Quality Improvement Matters for Clinicians in the NHS

Introduction

Quality Improvement (QI) in the NHS is about making healthcare services safer, more efficient, more effective, more equitable, and more patient-centred. It's a systematic approach to making changes that lead to measurable improvements in the quality of care and the experience of both patients and staff. For clinicians, QI is an opportunity to not only highlight issues but also to be part of their solution, leading to tangible positive outcomes.

Why this topic matters for Clinicians

Clinicians are at the coalface of healthcare delivery. They see firsthand where systems falter, where processes create undue burden, or where patient care could be enhanced. Engaging in QI empowers clinicians to address these very issues. It shifts the mindset from simply identifying problems to actively designing and implementing solutions.

Beyond the immediate impact on patient care, involvement in QI offers significant professional development opportunities. It fosters leadership skills, encourages critical thinking, and provides a structured methodology for enacting change. For junior doctors and trainees, QI projects are increasingly integral to portfolios, demonstrating commitment to patient safety, service improvement, and often fulfilling curriculum requirements for General Medical Council (GMC) revalidation and speciality training. Organisational benefits include reduced costs through efficiency gains, improved staff morale, better patient outcomes, and a culture of continuous learning and adaptation – all crucial for a sustainable NHS.

Practical explanation of QI

At its core, QI involves a structured approach to change. It's often misunderstood as simply suggesting ideas or undertaking a one-off audit. While audit is a valuable component of QI, QI goes further by systematically testing and implementing changes and measuring their impact over time. Key principles include:

• Patient-centredness: Improvements should ultimately benefit patients.
• Systems thinking: Recognising that problems often reside in processes and systems, not just individuals.
• Data-driven: Using data to understand the problem, track progress, and evaluate the impact of changes.
• Small, iterative changes: Testing changes on a small scale before wider implementation (often using Plan-Do-Study-Act cycles).
• Team-based approach: Involving those who deliver the care in designing and implementing improvements.

The Model for Improvement

A widely used framework in healthcare QI is the Model for Improvement. It asks three fundamental questions:

1. What are we trying to accomplish? (A clear aim statement).
2. How will we know that a change is an improvement? (Measurable outcome, process, and balancing measures).
3. What changes can we make that will result in an improvement? (Generating ideas based on evidence or experience).

Once these questions are answered, teams use Plan-Do-Study-Act (PDSA) cycles to test changes rapidly and iteratively. This iterative testing helps refine interventions before widespread adoption, minimising risk and maximising learning.

• Plan: Define the objective, predict the outcome, plan the test (who, what, where, when).
• Do: Carry out the plan, collect the data.
• Study: Analyse the data, compare to predictions, summarise what was learned.
• Act: Decide what to do next – adopt, adapt, abandon, or repeat the cycle.

Common pitfalls in QI

Even with the best intentions, QI projects can encounter obstacles. Awareness of these common pitfalls can help clinicians navigate them more effectively:

• Lack of clear aim: Without a specific, measurable, achievable, relevant, and time-bound (SMART) aim, it's difficult to focus efforts or know if success has been achieved.
• Absence of baseline data: Starting a project without understanding the current performance makes it impossible to measure improvement accurately.
• Trying to do too much too soon: Attempting large-scale changes without small-scale testing first can lead to failure and resistance.
• Not involving the right people: Excluding those who are directly impacted by the change, particularly frontline staff and patients, can lead to solutions that aren't practical or sustainable.
• Lack of measurement over time: Only measuring once or twice doesn't show if an improvement is sustained or just a fluctuation. Run charts and control charts are invaluable here.
• Attributing problems to individuals: A common pitfall is blaming individuals rather than examining the underlying systems and processes contributing to issues.
• Insufficient leadership support: Without buy-in and support from senior management, even well-designed projects can struggle to gain traction or secure necessary resources.

Step-by-step approach to engaging in QI

For clinicians looking to get involved, here’s a practical pathway:

1. Identify an area for improvement: What bothers you? What processes could be safer, more efficient, or enhance patient experience? Start small.
2. Formulate a clear aim statement: Define what you want to achieve, by when, and for whom (e.g., "To reduce unnecessary overnight fasting for elective surgical patients by 25% within 3 months in ward X").
3. Understand the current process: Map out the existing pathway. Where are the delays, bottlenecks, or areas of waste? Tools like process mapping can be very helpful.
4. Gather baseline data: Collect data on your chosen measures before making any changes. This provides your starting point.
5. Generate solutions/changes: Brainstorm potential interventions. Look for low-cost, low-risk changes first. Research what others have done in similar situations (e.g., via published QI projects, national guidelines).
6. Plan and execute a small PDSA cycle: Test one small change with a small group or for a short period. For example, change the time of a pre-operative assessment clinic for a week, not for all clinics for a month.
7. Study the results: Did the change have the predicted effect? Why or why not? What did you learn?
8. Act on your learning: Refine your change, test it again, or adopt it more widely if successful. If it didn't work, understand why and try something different.
9. Sustain the improvement: Once you have a successful change, think about how to embed it into routine practice and continue to monitor its effectiveness over time.
10. Communicate and share: Share your learning, successes, and challenges with colleagues and your department. This builds a culture of improvement and can inspire others.

Always remember to engage with your local QI team, clinical governance lead, or audit department early in your project planning. They can offer invaluable guidance, resources, and ensure appropriate oversight.

Example in clinical practice: Reducing Delays in Discharge Summaries

A junior doctor (FY2) on a busy medical ward notices that discharge summaries are often completed late, leading to delays in communicating critical information to GPs and other community teams, potentially affecting patient safety and continuity of care.

1. Identify area: Late discharge summaries.
2. Aim: To reduce the proportion of discharge summaries completed after patient discharge from 60% to 30% within 3 months on Ward A.
3. Understand current process: The FY2 maps out the process: patient ready for discharge -> clinical team reviews -> summary dictated/typed -> junior doctor completes -> senior review -> sent. They identify that delays often occur due to doctors being busy with new admissions or ward rounds, or not knowing which patients are definitively leaving until late morning.
4. Baseline data: They audit 50 consecutive discharges, finding 60% summaries were late.
5. Generate solutions: Ideas include pre-emptively completing parts of the summary the day before discharge, creating a dedicated 'discharge summary hour' in the morning, or implementing a clear hand-over system for upcoming discharges.
6. PDSA Cycle (first test): The team decides to test a new system where the discharging doctor for the next day is identified during the evening ward round, and they are encouraged to prepare as much of the summary as possible the evening before, and then prioritise finishing it first thing in the morning.
7. Study: After 2 weeks, they audit 20 more discharges. The proportion of late summaries drops to 45%. It’s an improvement, but not yet hitting the aim.
8. Act: They learn that junior doctors are still being pulled for other duties. For the next PDSA cycle, they decide to introduce a simple visual 'discharge summary completed' board in the doctors' office, and during the morning huddle, the consultant specifically asks about discharge summary completion for the day's planned discharges, reinforcing priority.

This iterative process continues. With each cycle, the team learns, adapts, and moves closer to their aim, improving patient care and potentially reducing readmission rates due to better information transfer.

How Lazomis can help

Lazomis provides a supportive platform for clinicians engaging in Quality Improvement. Our tools are designed to facilitate the structured approach essential for successful QI.

• Lazomis QI Project Setup: Guides you through defining your aim, measures, and initial change ideas, ensuring a robust starting point.
• Lazomis Data Management & Visualisation: Helps you collect, track, and visualise your outcome, process, and balancing measures using run charts and control charts, making it easy to ‘Study’ your PDSA cycles.
• Lazomis Collaboration Tools: Facilitates team working, allowing you to share progress, plans, and learning with colleagues involved in your QI project.
• Lazomis Templates & Guides: Offers resources and templates for process mapping, driver diagrams, and PDSA cycles, guiding you through best practices.

By centralising your project documentation, data, and communication, Lazomis helps you navigate the complexities of QI, making it more accessible and manageable. This resource supports, but does not replace, clinical judgement. Local policy, formulary and specialist advice should be followed.

Key takeaways

• QI is crucial for effective, safe, and efficient NHS care: It empowers clinicians to solve problems and improve patient and staff experience.
• It’s a structured, data-driven approach: Using frameworks like the Model for Improvement and PDSA cycles makes change systematic and measurable.
• Start small and iterate: Don't try to solve everything at once; test small changes and learn from each cycle.
• Involve the right people: Engage frontline staff, patients, and local QI/governance teams early and often.
• QI demonstrates professional growth: It's a key skill for all clinicians, contributing to revalidation portfolios and career development.