Patient classification system: An integrated method for measuring nursing intensity and optimizing resource allocation

A patient classification system was developed integrating a patient acuity instrument with a computerized nursing distribution method based on a linear programming model. The system was designed for real-time measurement of patient acuity (workload) and allocation of nursing personnel to optimize the utilization of resources.^ The acuity instrument was a prototype tool with eight categories of patients defined by patient severity and nursing intensity parameters. From this tool, the demand for nursing care was defined in patient points with one point equal to one hour of RN time. Validity and reliability of the instrument was determined as follows: (1) Content validity by a panel of expert nurses; (2) predictive validity through a paired t-test analysis of preshift and postshift categorization of patients; (3) initial reliability by a one month pilot of the instrument in a practice setting; and (4) interrater reliability by the Kappa statistic.^ The nursing distribution system was a linear programming model using a branch and bound technique for obtaining integer solutions. The objective function was to minimize the total number of nursing personnel used by optimally assigning the staff to meet the acuity needs of the units. A penalty weight was used as a coefficient of the objective function variables to define priorities for allocation of staff.^ The demand constraints were requirements to meet the total acuity points needed for each unit and to have a minimum number of RNs on each unit. Supply constraints were: (1) total availability of each type of staff and the value of that staff member (value was determined relative to that type of staff's ability to perform the job function of an RN (i.e., value for eight hours RN = 8 points, LVN = 6 points); (2) number of personnel available for floating between units.^ The capability of the model to assign staff quantitatively and qualitatively equal to the manual method was established by a thirty day comparison. Sensitivity testing demonstrated appropriate adjustment of the optimal solution to changes in penalty coefficients in the objective function and to acuity totals in the demand constraints.^ Further investigation of the model documented: correct adjustment of assignments in response to staff value changes; and cost minimization by an addition of a dollar coefficient to the objective function. ^

The Influence of Immunization Route on the Adjuvant Effect of alpha-Galactosylceramide

Potent vaccine formulations ideally include adjuvants to activate innate immune responses and enhance antigen-specific adaptive immunity. The synthetic glycolipid alpha-Galactosylceramide (α-GalCer) effectively activates the innate immune mediating NKT cells to produce cytokines and activate downstream immune cells, resulting in development of humoral and cell mediated immune responses to co-administered antigens. While a single intravenous immunization of α-GalCer strongly activates NKT cells, multiple doses by this route are well documented to induce anergy in NKT cells. Anergy is defined as the deficiency in NKT proliferation and cytokine production, including IL-4 and IFNγ. However, our studies have shown that two doses of α-GalCer administered intranasally by the intranasal route leads to reactivation of NKT cells and improved adaptive immune responses after each subsequent dose. I therefore investigated the role of multiple routes of immunization in activation of NKT cells, i.e. anergy versus repeated activation. Specifically, I hypothesized that the differential capacity of NKT cells to produce IFNγ, as a result of route of immunization with α-GalCer, influences the induction of adaptive immune responses to co-administered antigen. Our experimental design utilizes the observation that intranasal immunization primarily induces immune responses in the lungs while intravenous immunization induces responses in the liver. Using intracellular cytokine staining for IFNγ production and Elispot analyses for determining NKT and T cell activation, respectively, it was determined that administering two consecutive intravenous doses resulted in anergy to NKT cells (no IFNγ production) in the liver and lack of adaptive immunity while second immunization by the intranasal route overcame anergy in the lung. The outcome in the other tissues analyzed was mixed and could be the result of tissue microenvironment among others possible reasons. When intranasal dosing preceded systemic, NKT cells were reactivated to produce IFNγ and induced positive adaptive immune responses in the responding lung tissue. These results indicate that the mechanism by which mucosal and systemic immunization routes activate NKT cells may differ in that there is a differential tissue-specific effect induced by each route. Future studies are necessary to determine the reason for these tissue-specific effects and how they relate to NKT cell activation.