Patient safety and good care is reliant upon continuous quality improvement.
Key requirements for quality improvement:
- The improvement is informed by data, so the impact of changes can be measured. Data can be drawn from a variety of sources, including feedback from patients, team members in the practice, and clinical data analysis.
- All members of the team are involved on a routine basis.
Why is data so important?
If we can't count, we can't see as much and we can't compare before and after. It's a tool to generate insight, raise questions, experiment, and help make decisions. It should be stimulating a lot of conversation. The pioneer of data-informed improvement in healthcare was Florence Nightingale. "Before Nightingale, we were in the dark" (from a detailed article about her life and work) . She's famous for being a nurse, but she was also a brilliant statistician. This quick video is a good overview of Nightingale's work and impact: What would Florence Nightingale make of big data?
Continuing on from Nightingale's legacy, we now have data analysis tools for healthcare providers, such as POLAR. They do a lot of the heavy lifting of the data extraction, transformation, mapping, and analysis. They make it easy for clinical and adminstration staff to visualise data for analysis and spotting patterns. So you don't have to be a statistician like Florence, but you can still benefit from the data.
Model for Improvement
The Model for Improvement, from the Institute for Healthcare Improvement, is a good framework. There are two key components to the framework: 3 fundamental questions and PDSA (see below). There are a range of downloadable resources for the Model from the Australian Primary Care Collaboratives webpage.
3 fundamental questions
Before undertaking any improvement activity, you must first answer these questions:
- What are we trying to accomplish? (In other words, what's a problem you're trying to solve?)
- How will we know that change is an improvement? (In other words, what could you count that would tell you how you're going with addressing that problem?)
- What changes can we make that will lead to an improvement?
At first, it may seem hard to answer these questions. But once you start talking about these amongst yourselves you may be surprised at the amount of ideas that start flowing. Pick the best ideas (the ones that make the most sense, that are the most practical, easy to do, and meangingful to all in the team).
PDSA (Plan Do Study Act) cycle
The PDSA cycle is a useful tool for documenting a change. The cycle’s steps are: develop a plan to test the change (Plan), carry out the test (Do), observe and learn from the consequences (Study), and determine what modifications should be made to the change (Act). You test multiple changes (cycles) for the same goal until you’ve achieved the goal or you move to a different one.
For more information about the PDSA cycle, see the RACGP QI & CPD Handbook (pg 23).
The Quadruple Aim is the 4 domains to consider when improving something:
- Patients' experience of care
- Clinicians' experience of work
- Improved health outcomes for patients
- Sustainable cost
If you're struggling to decide what to do, narrow your options down to those that fit within all four of these dimensions, because anything that fits in all four is more likely to get everyone engaged and motivated. The activity should turn out to be interesting.
Outputs vs outcomes
You could be measuring outputs (e.g. the number of Type 2 Diabetes patients who have had a recent HbA1C).
Or you could be measuring outcomes (e.g. more Type 2 Diabetes patients who are controlled, which could be measured by counting, over time, those with a recent HbA1C in target range).
We recommend you choose an outcome measure. It's more meaningful to everyone, and it's more important because it's measuring what you're actually trying to acheive.
When data is reused, it inevitably improves. It's a consequence of people seeing the data in different ways. Flaws in the data become apparent that were previously hidden. If you have a meaningful outcome measure that the whole team is working on, you'll find that your data will start to improve with minimal conscious effort. In other words, you needn't devote energy to activities solely dedicated on data quality improvement.
Practice Incentive Payment Quality Improvement (PIP QI)
The Practice Incentive Payment Quality Improvement (or PIP QI) is for general practices that participate in quality improvement activities to improve patient outcomes and deliver best practice care.
How to register
Registration is available from 1 August 2019. Register via HPOS (using PRODA). The steps in HPOS are:
- Log on to HPOS
- Click My Programs
- Go to the PIP tile
- Click the Update button
- The Program and PIP information screen will appear
- Click the Exit button at the bottom of the information
- Look for the Main menu (red header at top-left of screen), and click Incentive summary
- In the Quality Stream section > Quality Improvement Incentive, click the Apply link
- Read the terms.
- Tick the Participation Payment option
- Click Submit
Important note: once you've registered, you must contact SEMPHN to tell us that you've registered and what your PIP Practice ID is.
There are two requirements that practices must comply with in order to receive payment:
- Participate in continuous quality improvement each quarter (such as PDSA activities), in partnership with their local PHN. The measure for the activity must be from clinical data.
- Submit the PIP Eligible Data Set on a quarterly basis to their local PHN.
The Eligible Data Set comprises fields required to calculate 10 metrics and analyse them according to the PIP QI Data Governance Framework.
The 10 metrics are:
- Proportion of patients with diabetes with a current HbA1c result
- Proportion of patients with a smoking status
- Proportion of patients with a weight classification
- Proportion of patients aged 65 and over who were immunised against influenza
- Proportion of patients with diabetes who were immunised against influenza
- Proportion of patients with COPD who were immunised against influenza
- Proportion of patients with an alcohol consumption status
- Proportion of patients with the necessary risk factors assessed to enable CVD assessment
- Proportion of female patients with an up-to-date cervical screening
- Proportion of patients with diabetes with a blood pressure result
More information and the Guidelines for PIP QI are on the Department of Health webpage for PIP QI Incentive guidance.
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