hapu


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hapu

(ˈhɑːpuː)
n
(Peoples) NZ a subtribe
[Māori]
References in periodicals archive ?
Summary statistics for the HAPU outcome variables and model covariates were examined.
The low prevalence of HAPUs created an excess number of units without HAPU and right skew of the distributions.
This standard set of predictors included average patient age, percent of medical patients, average number of patients in HAPU prevalence studies (a measure of unit size), hospital ownership type (government, corporate system, for-profit, and other not-for-profit), and teaching status.
Interactions of significant RN workload, expertise, and HAPU processes of care main effects were also tested.
32) units participating in HAPU prevalence studies per hospital (ranging from 1 to 14 units).
The estimated percent change in HAPU for one standard deviation increase in the respective predictor variable (Poisson regression findings) and the odds ratios (ORs) for the covariates' effects on the probability of belonging to units without HAPU events (logistic regression findings) are detailed in the table.
Of these, the strongest predictor was shorter LOS, with one standard deviation increase in LOS predicting an estimated 23 percent more HAPU (an average increase from 2.
The logistic regression showed longer LOS at the time of the study was associated with a decrease in the percent of units without HAPU 11+ from 38 to 21 percent.
Model 2A revealed that increased LOS and percent contracted hours predicted more HAPU-Any Stage, while increased total HPPD, patient (bed) turnover, and years of RN experience predicted fewer HAPU.
For example, having 25 percent at risk of HAPU at 2 hours of licensed care results in a prevalence of about 2.
When RNs with greater years of experience were not available, HAPU rates were lower on units staffed by employee RNs, when compared to units with a combination of regular staff plus contract or agency nurses.