GPFUQ #207 How do you assess the validity of a clinical performance measure?
In "Time Out — Charting a Path for Improving Performance Measurement" http://www.nejm.org/doi/full/10.1056/NEJMp1802595,
DOMAIN
1. IMPORTANCE
·
Meaningful clinical impact: Implementation of the measure will lead
to a measurable and meaningful improvement in clinical outcomes.
·
High impact: Measure addresses a clinical condition that is high-impact
(e.g., high prevalence, high morbidity or mortality, high severity of illness,
and major patient or societal consequences).
·
Performance gap: Current performance does not meet best
practices, and there is opportunity for improvement.
DOMAIN
2. APPROPRIATE CARE
·
Overuse: Measure will promote stopping use of a test or treatment
in general population or individuals where the potential harms outweigh the
potential benefits.
·
Underuse: Measure will encourage use of a test or treatment in
general population or individuals in whom the potential benefits outweigh the
potential harms.
·
Time interval: Time interval to measure the
intervention is evidence-based.
DOMAIN
3. CLINICAL EVIDENCE BASE
·
Source: Evidence forming the basis of the measure is clearly
defined with appropriate references.
·
Evidence: Evidence is high-quality, high-quantity,
and consistent and represents current clinical knowledge.
DOMAIN 4. MEASURE SPECIFICATIONS
·
Clarity — numerator and
denominator clearly defined: • For process measures, numerator includes a specific action
that will benefit the patient, and denominator includes well-specified
exclusions. For outcome measures, numerators detail an outcome that is
meaningful to the patient and under the influence of medical care. Denominator
includes well-specified and clinically appropriate exceptions to eligibility
for the measure.
·
Clarity — all components necessary to implement measure clearly
defined
·
Validity: The measure is correctly assessing what
it is designed to measure, adequately distinguishing good and poor quality.
·
Reliability: Measurement is repeatable and precise,
including when data are extracted by different people.
·
Risk adjustment: Risk adjustment is adequately specified
for outcome measures.
DOMAIN 5. MEASURE FEASIBILITY AND
APPLICABILITY
·
Attribution: Level of attribution specified in the
measure is appropriate (measure ties the outcomes to the appropriate unit of
analysis) and is clearly stated.
·
Physician’s control: Performance measure addresses an
intervention that is under the influence of the physician being assessed.
·
Usability: Results of the measure provide
information that will help the physician to improve care.
·
Burden: Data collection is feasible and burden
is acceptable (low, moderate, or high)
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