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In an attempt to reduce patient burden 'preference based' measures are often not used [ 8].
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In part this relates to a general problem in measurement development, where measures are often based on theory or historically convenient indicators and tools.
Any answer to these questions has to take account of the fact that public health measures are often based on prospective benefits, not immediately securable benefits.[5] Second, promoting public health involves a high degree of commitment to the prevention of disease and injury.
Those measures are often based on single smoking self-report observations that were assessed as long as decades before the measured outcomes [ 22].
These measures are often arbitrarily implemented based on ideological decisions rather than on the available evidence and therefore adverse consequences are to be expected in terms of financial protection, efficiency, and equity.
Their so-called tough measures are often soft options.
The countermeasures available to governments frequently remain unclear: empirically based evidence on the effectiveness of specific measures is often simply lacking.
Routine security measures were often disproportionate or inconsistent.
Therefore, individuals' measurements are often collectively considered, based on measures of central tendency, to make population inferences.
What is hard to measure is often hard to manage.
Several guidelines have been recently published recommending stringent control measures, which are often suggested based on their success in controlling MRSA outbreaks in hospitals with few MRSA or in containing MRSA cases introduced into a hospital with no MRSA.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com