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Both models show that the deprivation of the GP practice population is the strongest predictor of ambulatory sensitive admission levels.
One may also be interested in identifying individual GP practices with elevated ambulatory sensitive admission levels, even after taking account of deprivation and other influences.
This model is relevant to assessing whether regions vary in their effectiveness in tackling inequality in ambulatory sensitive admission rates: higher γi values indicate higher socio-economically based inequalities in such admissions.
In an effort to detect children at an earlier stage of acute malnutrition, in 2007 also MSF adopted more sensitive admission criteria for severe acute malnutrition (WHO2006 growth standards) [26] [28].
All cause and ambulatory care sensitive admission rates and length of stay were examined.
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Dr. Bok's 1998 book, written with William G. Bowen, a former president of Princeton, examined 28 colleges and universities employing racially sensitive admissions policies, and tracked the long-term effects of having attended institutions with diverse student bodies.
Impacts of deprivation are particularly important in policy terms as indicating effectiveness of efforts to reduce inequalities in care sensitive admissions.
The differential intercepts show that under both models, and for comparable predictor levels, London and the South have lower levels of ambulatory sensitive admissions than the other two regions, with the North having the highest differential against London and the South.
This has led to some schools converting to a "need aware" or "need sensitive" admissions policy.
The hospital data will be used to calculate rates of: readmission, admissions from the emergency department and ambulatory care sensitive admissions.
Need-sensitive admission is a two-edged sword.
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