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Measurement and Review >> Deciding on the evidence-based measures
c. Avoid searching
for the 'perfect' indicators
Indicators are intended to be approximate
quality measures, not stringent research
instruments. Choose indicators that demonstrate
sufficient (not perfect) levels of validity,
reliability, responsiveness, interpretability
and clinical relevance and actionability. |
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-
If you consider that an indicator is
meaningful enough for clinicians to
accept and act on it, then go with
it.
- In choosing
your indicators, an endless search
for perfect (instead of sufficiently
good)
data may jeopardise your project�s
momentum and cohesion.
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