Standards
1-3: Setting Up for Success
4-6: Core Treatments
7-9: Rounding out the OA Journey
CLINICIAN STANDARDS
Standard 9. Measuring Quality Care
For any health care intervention or program to reliably demonstrate success, a multi-faceted approach to continuous measurement of outcomes must be applied. The influence of these standards in Alberta will be measured, but measurement of outcomes can also happen at a local level.
Overview
Key Messages for Measuring Quality Care
- There are two types of data: administrative data and patient reported experience/outcome measures (PROMs and PREMs) and collecting this data helps to improve business operations and patient care. The following is recommended to implement measurement of quality care at your clinic:
- Collect data electronically using an Electronic Medical Record (EMR) system with effective extraction
- Work towards achieving four measurement goals:
- Define the cohort of the OA patients at your centre. This may be done by adding a specific label (e.g. ‘OA’) or creating a ‘panel’
- Collect PROMs every 12 months at a minimum to track the individual’s OA symptom progression (EQ5D-5L and the AOAPF)
- Collect PREMs to ensure the individual’s perspective is informing the delivery of care (AOAEM)
- Care plan created using the hierarchy of treatments for each patient (or follow care plan if supporting provider)
- Assign clear roles in your team for responsibilities with tracking, analyzing, interpreting, and actioning measurement results to continuously drive the improvement of the quality of your care
IIHO and provincial care teams are committed to making big improvements in Alberta’s conservative OA care. It will take time to build many trusting partnerships with multi-disciplinary providers and with individuals. If your organization would like to share your data with IIHO, or partner with IIHO to strengthen your data collection, please do not hesitate to get in touch: info@iiho.ca
Introduction
Alberta has a proud history of demonstrating successful high-quality healthcare using measurement of outcomes, particularly in bone and joint healthcare. We define quality care with seven dimensions: peope-centred, accessible and timely, effective, efficient and sustainable, safe, equitable, integrated.
Bringing measurement into your local setting can help you improve business operations as well as demonstrate that the care you are delivering is of high quality and successful in supporting individuals with OA.
Types of Data
There are two types of data that can be collected:
- Administrative data and
- ‘Patient reported’ data provided by the individual with OA
Administrative data is the responsibility of the provider and can include anything to do with the workflow at the local centre. Collecting administrative data helps improve business operations to offer efficient and accessible services for the individual with OA.
‘Patient reported’ data consists of two types:
- Patient Reported Outcome Measures (PROMs)
- Patient Reported Experience Measures (PREMs)
It is important to gather both PROMs and PREMs to properly evaluate the effectiveness, acceptability and appropriateness of the care delivered. See below for guidance on which PROMs and PREMs to use for conservative management of OA.
Measuring Outcomes
- Collect data electronically using an Electronic Medical Record (EMR) system with effective extraction.
- Work towards achieving four measurement goals:
- Monitoring your OA patients as a cohort at your centre. This may be done by adding a specific label (e.g. ‘OA’) or creating a ‘panel’
- Collect PROMs every 12 months at a minimum to track the individual’s OA symptom progression (unless discharged – Standard 3)
- For the purposes of conservative management of OA EQ5D-5L, the Subjective OA Performance Score (SOAPS) are recommended
- The Patient Specific Functional Scale (PSFS) is also a useful tool for attaching outcomes to goals the individual has set
- The Health Resources Matrix provides guidance on which PROM/PREM is appropriate for which Standard
- Collect PREMs to ensure the individual’s perspective is informing the delivery of care
- For the purposes of conservative management of OA: the Alberta OA Experience Measure (AOAEM) is recommended and
- The Health Resources Matrix provides guidance on which PROM/PREM is appropriate for which Standard
- Care plan created using Conservative OA Treatments for each patient (or follow care plan if supporting provider)
- Assign clear roles in your team for responsibilities with tracking, analyzing, interpreting, and actioning measurement results to continuously drive the improvement of the quality of your care
- If your organization would like assistance in this area, you can contact the Institute for Improved Health Outcomes (IIHO) for information on services that are available: info@iiho.ca
How to Start
| Questions to Ask | Tips |
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| How you collect your data | |
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| The frequency at which you will collect your data | |
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| Roles of team members | |
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| Establishing a baseline | |
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| Communicate results to the team | |
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| Using the data to continuously drive quality improvement of care | |
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Research vs Quality Improvement
A Project Ethics Community Consensus Initiative (ARECCI) program is hosted by Alberta Innovates. It was established to assist with the planning for ethical risks for projects that are not research projects. These projects might include program evaluations, quality improvement, health innovations or knowledge translation. All of these projects involve people and their information and therefore careful planning is required to protect that information. ARECCI provides support for this planning by providing decision support tools, training opportunities and ethics consultants.
ARECCI has all their tools and additional information available here. In particular, the ARECCI Screening Tool is useful for determining if your project is a research project or not. The Screening Tool asks questions to help you think through the purpose of your project.
Quality Improvement vs. Research Projects
| Quality Improvement | Research | |
|---|---|---|
| Purpose | Use existing knowledge to improve local care | Discover new, generalizable knowledge |
| Strategy | Multiple small sequential observable tests; interventions, adapted based on learnings | Usually one large, well-controlled study; interventions planned in advance |
| Ethics Review | Performed according to local policies |
Performed by a research ethics board |
| Sample Size | Focus on gathering enough information to achieve a reliable measurement; project continues until aim is achieved and may involve ongoing measurement to ensure change is sustained | Sample size calculation with goal of adequate power to detect a meaningful difference; study ends when enrolment met |
| Analysis | Occurs in an ongoing manner throughout multiple tests of change; often utilizes run charts and control charts | Occurs after data collection complete or at a defined interim analysis; often utilizes hypothesis testing |
| Dissemination | Findings shared locally; may be shared broadly for purpose of sharing learning from local efforts | Findings shared broadly for purpose of increasing knowledge |
Quality Improvement vs. Research Data
| Quality Improvement | Research | |
|---|---|---|
| Aim | To bring new knowledge into daily practice | To discover new knowledge |
| Tests | Many sequential, observable tests | One large blind test |
| Bias | Accept consistent bias | Design to eliminate bias |
| Sample Size | Gather “just enough” data to learn & complete another cycle | Gather as much data as possible, “just in case” |
| Measuring Improvement | Run charts, Shewhart control charts | Hypothesis, stat tests (t-test, F-test, chi square), p-values |
| Confidentiality | Data used only by those involved | Subjects’ identities protected |
Alberta Quality Dimensions for Health
The Health Quality Alberta (HQA) was established under legislature in 2003. They developed the Alberta Quality Matrix for Health which has widespread success in driving quality improvement in Alberta. In 2025, HQA released a renewed, evidence-based definition for healthcare quality.
The Dimensions of Quality can be defined as:
| Dimension | Definition |
|---|---|
| People-centred | The wholistic preferences, needs, and strengths of people and communities matter |
| Accessible and Timely | People can readily access services that meet their needs. |
| Effective | Decisions are based on current evidence and lived experience. |
| Efficient and Sustainable | Resource use balances individual, population, systemic, social, and environmental factors to benefit current and future generations. |
| Safe | Trust and feelings of security are fostered, and all forms of preventable harm are avoided. |
| Equitable | Services see and respond to the preferences and needs of communities to reduce and prevent unfair differences in experiences and outcomes. |
| Integrated | People, teams, sectors, organizations, and communities are interconnected. |
More information on HQA can be found here: https://hqa.ca/
The complete Alberta Quality Matrix for Health can be found here: The Alberta Quality Dimensions for Health
Administrative Data
Administrative data includes anything that can be collected about how the clinicians work to deliver the care to the individuals. This likely includes time stamps to document when certain milestones are hit such as:
- The date a referral is received
- The date of a first appointment
- The date of subsequent appointments
- The date a treatment is completed
- The date of discharge
Administrative data can also include charting completed by the clinicians to collect key characteristics about the individuals. It is best if this information is translated out of long form answers into simple check boxes as much as possible to make it easier to extract the information for analysis later.
Administrative data can be collected on paper or electronically in an electronic medical record (EMR) software system. Electronic recording of administrative data exponentially improves the ability to analyze data for quality improvement initiatives.
It is very important to combine administrative data with ‘patient reported’ data from the individual to get a complete picture of the quality of care being delivered.