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All methods showed a continuum of use, with no clear distinction between facilities with higher use.
No method identified a group with clearly higher use – the figures indicate a continuum of risk, not any obvious distinction between facilities with higher or lower use.
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Qualitative and quantitative data both showed clear differences between facilities with high versus low implementation effectiveness.
However, time constraints and communications about MOVE! differed between facilities with high versus low implementation effectiveness.
Unfortunately, traditional organizational or resident case-mix measures did not differentiate between facilities with high levels of QI reliability and those with low levels of QI reliability.
Given that any one of these dichotomous indicators may not be sufficient to distinguish between facilities with relatively high vs. low levels of information use, summary indices were created by aggregating the indicators and through Principal Components Analysis (PCA).
Quantitative measures from the transition facility generally had values that fell between the facilities with high and low implementation effectiveness.
We find that the relationship between reported quality and nursing home choice is positive and statistically significant suggesting that patients were more likely to choose facilities with higher reported post-acute care quality after public reporting was initiated.
Because we sampled facilities with between 100 and 500 patients on ART, we are not sure if our results would apply to facilities with higher or lower number of registered patients.
Accounting for service demand is crucial as utilization is likely to differ between remote facilities with lower population densities and few users compared to urban facilities with high population densities.
In conclusion, these models would be identified facilities with high quality.
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CEO of Professional Science Editing for Scientists @ prosciediting.com