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Data showed considerable variations in staff numbers, proportions of trained staff, length of courses and quality of training activities.
It is possible that certain aspects of how the contact with the baby is facilitated (e.g. how parents are prepared by staff, length of time spent with the baby, how the baby is presented by staff etc).
The study also examines those factors that influence confidence, knowledge and help giving behaviours including: Staff role (nursing staff versus personal carers, managers and general staff); Length of service; Previous training in the health field or mental health field; Education status.
Limitations of the study are evidenced by the great variation in reported staff numbers and the lack of correlation between information on numbers of trained staff, length of courses, development of materials and performance, suggesting a shortage of valid information, poor standardization and/or data reliability.
However, the CR sites in this study were chosen to reflect a diversity of patient volumes, number of CR staff, length of program, degree of rurality, and whether the program was hospital or community-based to mitigate against this threat to generalizability.
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Systems issues related to each service's model of care and funding source which influenced staffing, length of patient stay in a service, and type of support they could provide.
One could also measure staff satisfaction, length of stay, or in-hospital mortality.
The developed methodology resulted in solutions that clearly are better in performance: number of orders and units served, number of staff required, length of the conveyor needed, single picker utilization and total time in the system.
Of these, 11 were general capacity and capability questions addressing the themes of knowledge and awareness, and staffing, and eight were demographic type questions (that is, numbers of staff, turnover, length of service), some of which are also indicators for capability.
As the relationship between number of different types of staff and length of care is small and statistically insignificant, it appears that the effect is through the size of the service budget.
The special needs and vulnerability of hospitalized elders with CI lead to more demands on nursing staff, prolonged length of stay, increased risk of post-discharge institutionalization, and higher health care costs (Lyketsos et al 2000; Marcantonio et al 2000; McCusker et al 2003; Bynum et al 2004) (see Table 1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com