Transcript John Varlow`s full presentation

Measuring Quality: Using Clinical
Quality Indicators, Metrics and
Dashboards to Measure Quality in
Your Organisation
John Varlow, Director of Information Analysis
Health and Social Care Information Centre
1
Environment and Context
• System wide changes:
– A new system for commissioning, delivering, and
accounting for health, public health and social
care outcomes
– New structures and responsibilities between NHS
England, Public Health England, the Health and
Social Care Information Centre (HSCIC), the
Department of Health (DH) and Government
– Attempt at genuine devolution to local
organisations
– New regulatory functions for statutory bodies
The Quality Framework
NHS OUTCOMES FRAMEWORK
Domain 2
Domain 3
Domain 4
Enhancing
the quality
of life for
people with
LTCs
Recovery
from
episodes of
ill health /
injury
Ensuring a
positive
patient
experience
Domain 5
Safe
environment
free from
avoidable
harm
Duty of quality
Duty of quality
Domain 1
Preventing
people from
dying
prematurely
NICE Quality Standards
(Building a library of approx 150 over 5 years)
Clinical
Commissioning
Commissioning Group
Outcomes
Outcomes Indicator
Framework
Set
Provider payment mechanisms
Commissioning
Guidance
tariff
standard
contract
Commissioning / Contracting
NHS Commissioning Board
– certain specialist services and primary care
GP Consortia
– all other services
Duty of quality
CQUIN
QOF
Outcomes Frameworks
• NHS Outcomes Framework (NHSOF)
• Clinical Commissioning Group Outcome
Indicator Set (CCGOIS)
• Public Health Outcomes Framework
(PHOF)
• Adult Social Care Outcomes Framework
(ASCOF)
Indicators in Context: What Can We Say?
The HSCIC’s website lists over 3,000 indicators, alongside
other products, yet covers only a part of the full range of
clinical care. There are many more indicators in use locally.
This is illustrative of the challenges we face in monitoring
clinical quality.
Indirectly age standardised rate
per 100,000 & 95% confidence
intervals
EMERGENCY ADMISSIONS TO HOSPITAL FOR ACUTE CONDITIONS USUALLY MANAGED IN PRIMARY CARE, ALL
AGES, ENGLAND 2007/08 (Source: NHS IC Compendium, Crown Copyright)
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The Move to Monitoring Outcomes
• Accountability shift from what is done, to what is achieved with
available resources, demonstrating continuing improvement
• In the absence of evidence based standards for some
services, comparative data, for example stroke deaths, may
show that outcomes are less than optimal
• Evidence-based process indicators, for example those listed in
NICE Quality Standards and the Outcomes Frameworks act
as a proxy for outcomes
• An intervention now may have an impact years / decades in
the future; an outcome now may reflect interventions going
back years / decades
• Attribution and apportioning credit, hence accountability is
likely to be difficult
What is a Metric?
 A metric is a measure of a known
attribute
 eg a speedometer in a car dashboard
 eg within clinical care, a blood pressure
reading
 Metrics, whether based on physical
instruments or questionnaires, need
rigorous testing and calibration plus
precision in use
What is an Indicator?
 An indicator describes how a measure is
expected to be used to judge quality
 includes clear statements about the intended
goal / objective;
 whether it is expected to be used in isolation or
in combination with other measures or
indicators;
 any thresholds or standards which are
expected to be applied
 e.g. a gauge to show whether speed is within
legal limits in a car dashboard
 e.g. within clinical care, the proportion of
patients with controlled high blood pressure
 An indicator may act as an alert to an issue
that needs further investigation
Indicator or Metric?
• Metric – number of emergency
readmissions to an acute hospital trust
following an appendectomy
• Indicator – rate of readmissions
• Consider the context and may need to
take into account
• whether the readmissions are
avoidable
• co-morbidities
• whether a certain number are
acceptable
• casemix of patients
Indicator Development
• Is the indicator rationale supported by evidence?
• Does the indicator relate to clinical care or outcome that is
influenced by actions of commissioners or providers?
• Has this aspect been identified as a priority?
• Can the indicator be developed so that it is measurable?
• Is there evidence of inappropriate variation in clinical care or
outcomes?
• Could adoption of best practice significantly improve quality
and outcomes?
• Is there scope for improvement?
Indicator Development
• Do you want/need to look at a single aspect of care or whole
pathway?
• How will improvement be measured?
• Who is your intended audience?
• If you are comparing with other trusts are you comparing like with
like?
• Do you need a simple or composite indicator?
• Provider or commissioner based?
• Longitudinal or cross sectional?
• Selection of number of indicators is not easy….
Deciding how many indicators to focus on
Clinical
Quality
RISK
DISEASE / ILL HEALTH
ADVERSE EVENTS
QUALITY OF LIFE
PREMATURE DEATH
 Single aspect eg renal dialysis
versus whole pathway eg
Potential activities
obesity, uncontrolled high blood
pressure, kidney disease, QOL,
AVOIDING RISK
deaths
REDUCING RISK
 Tension – too few may leave
gaps and distort priorities, too
TIMELY INTERVENTION
many may overwhelm the
organisation
 Potential solution - hierarchies,
LATE INTERVENTION
with ability to drill down to detail,
as necessary
 Potential solution – menu, with
ability to select those to be
displayed in the dashboard
Indicators: NICE Quality Standards
Information
5: Education and self-management
NHS Outcomes Framework
CCG Outcomes Indicator Set
Establishing Limits and Thresholds
• In any absence of evidence-based standards, it is
important to establish a basis for judging quality and
improvement
• The ‘National Average’ is not always the best marker as
it combines good and poor quality
• It may be possible to arrive at some notion of ‘optimum’
based on best levels achieved elsewhere, for example
cancer survival or emergency admissions in some parts
of the country / other countries
• Dependent on clarity around purpose of indicator and
audience e.g. clinician, patient, policy maker, manager,
public etc.
Indicator Assurance Process
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Hosted on behalf of the whole system
Indicator Assurance Service
Standard indicator assurance templates
Methodology Review Group
Independent Peer Review
Indicator Assurance Process
Indicator Governance Board
National Library of Assured Indicators
– Repository
Indicator Assurance Process
Indicator Assurance Considerations
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Purpose of indicator
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Rationale, evidence based standard
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What is measured – numerator, denominator, construction, source of
data, completeness of counts, quality of data
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How data are aggregated - type of analysis (direct/indirect
standardisation), risk adjustment e.g. for age, gender, method of
admission, diagnosis, procedure, co-morbidity etc. to compare ‘like’ with
‘like’
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Scientific validity – face, content, construct, criterion, predictive; validity
for public, clinicians, performance
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Interpretation – identifying outliers, explaining observations
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Use – timeliness, gaming, costs, access, credibility, feasibility,
usefulness
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Investigation and action – play of chance, artefacts (e.g. data quality),
quality of care
Indicator Development and Assurance
• Skills and expertise from HSCIC and the
wider system
– Methodologists
– Epidemiologists
– Statisticians
– Subject Matter Experts
– Informatics Specialists
– Measurement Specialists
– Clinicians and Patients
Dashboards
• “All that glitters is not gold”
Shakespeare – Merchant of Venice
• “Simplify, simplify, simplify!”
Henry David Thoreau
• “Maximise the data – ink ratio”
Edward R Tufte – The Visual Display of
Quantitative Information
• “Unless you know what you’re doing you’ll
end up with a cluttered mess”
Stephen Few – Information Dashboard Design:
The Effective Visual Communication of Data
Dashboards: 13 Common Mistakes
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Exceeding a single screen
Supplying inadequate context
Displaying excessive detail or precision
Choosing deficient measures
Choosing inappropriate visualisation
Introducing meaningless variety
Using poor design
Encoding quantitative data inaccurately
Arranging the data poorly
Highlighting important data ineffectively
Cluttering with useless decoration
Misusing colour
Unattractive display
Clinical Quality Dashboards: Maternity
Accident and Emergency Dashboard
In Conclusion
• There are a lot of indicators out there
• Ultimate choice depends on whether they meet criteria
for good indicators
• National indicators for NHSOF and CCGOIS – assured
and tested
• Local indicator development based on local priorities
• Consider triggers and alerts
• Uses for Board reporting and assurance
• Dashboards can be used to support delivery of safe and
effective care – but only if they are well designed
• Integrating local data flows – instantaneous reporting