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. ^

Cost and power analysis of linkage disequilibrium methods for locating genes influencing quantitative traits in humans

Linkage disequilibrium methods can be used to find genes influencing quantitative trait variation in humans. Linkage disequilibrium methods can require smaller sample sizes than linkage equilibrium methods, such as the variance component approach to find loci with a specific effect size. The increase in power is at the expense of requiring more markers to be typed to scan the entire genome. This thesis compares different linkage disequilibrium methods to determine which factors influence the power to detect disequilibrium. The costs of disequilibrium and equilibrium tests were compared to determine whether the savings in phenotyping costs when using disequilibrium methods outweigh the additional genotyping costs.^ Nine linkage disequilibrium tests were examined by simulation. Five tests involve selecting isolated unrelated individuals while four involved the selection of parent child trios (TDT). All nine tests were found to be able to identify disequilibrium with the correct significance level in Hardy-Weinberg populations. Increasing linked genetic variance and trait allele frequency were found to increase the power to detect disequilibrium, while increasing the number of generations and distance between marker and trait loci decreased the power to detect disequilibrium. Discordant sampling was used for several of the tests. It was found that the more stringent the sampling, the greater the power to detect disequilibrium in a sample of given size. The power to detect disequilibrium was not affected by the presence of polygenic effects.^ When the trait locus had more than two trait alleles, the power of the tests maximized to less than one. For the simulation methods used here, when there were more than two-trait alleles there was a probability equal to 1-heterozygosity of the marker locus that both trait alleles were in disequilibrium with the same marker allele, resulting in the marker being uninformative for disequilibrium.^ The five tests using isolated unrelated individuals were found to have excess error rates when there was disequilibrium due to population admixture. Increased error rates also resulted from increased unlinked major gene effects, discordant trait allele frequency, and increased disequilibrium. Polygenic effects did not affect the error rates. The TDT, Transmission Disequilibrium Test, based tests were not liable to any increase in error rates.^ For all sample ascertainment costs, for recent mutations ($<$100 generations) linkage disequilibrium tests were less expensive than the variance component test to carry out. Candidate gene scans saved even more money. The use of recently admixed populations also decreased the cost of performing a linkage disequilibrium test. ^

A costing exercise of provision of prevention of HIV transmission from mother to child services in Vietnam

Objectives. This dissertation focuses on estimating the cost of providing a minimum package of prevention of mother-to-child HIV transmission (PMTCT) in Vietnam from a societal perspective and discussing the issues of scaling-up the minimum package nationwide. ^ Methods. Through collection of cost-related data of PMTCT services at 22 PMTCT sites in 5 provinces (Hanoi, Quang Ninh, Thai Nguyen, Hochiminh City, and An Giang) in Vietnam, the research investigates the item cost of each service in minimum PMTCT packages and the actual cost per PMTCT site at different organizational levels including central, provincial, and district. Next, the actual cost per site at each organizational level is standardized by adjusting for HIV prevalence rate to arrive at standardized costs per site. This study then uses the standardized costs per site to project, by different scenarios, the total cost to scale-up the PMTCT program in Vietnam. ^ Results. The cost for HIV tests, infant formula, and salary of health workers are consistently found to be the biggest expenditures in the PMTCT minimum package program across all organizational levels. Annual cost for drugs for prophylaxis treatment, operating and capital, and training costs are not substantial (less than 5% of total costs at all levels). The actual annual estimated cost for a PMTCT site at the central level is nearly VND 1.9 billion or US$ 107,650 (exchange rate US$ 1 = VND 17,500) while the annual cost for a provincial site is VND 375 million or US$ 21,400. The annual cost for a district site is VND 139 million (∼US$ 8,000). ^ The estimated total annual cost to roll out the PMTCT minimum package to the 5 studied provinces is approximately US$ 1.1 million. If the PMTCT program is to be scaled-up to 14 provinces until 2008 and up to 40 provinces through the end of 2010 as planned by the Ministry of Health, it would cost the health system an approximate annual amount of US$ 2.1 million and US$ 5.04 million, respectively. The annual cost for scaling-up the PMTCT minimum package nationwide is around US$ 7.6 million. Meanwhile, the total annual cost to implement PMTCT minimum packages to achieve PMTCT national targets in 2010 (providing counseling service to 90% of all pregnant women; 60% of them will receive HIV tests and 100% of HIV (+) mother and their newborn will receive prophylaxis treatment) would be US$ 6.1 million. ^ Recommendations. This study recommends: (1) the Ministry of Health of Vietnam should adjust its short-term national targets to a more feasible and achievable level given the current level of available resources; (2) a detailed budget for scaling-up the PMTCT program should be developed together with the national PMTCT action plan; (3) the PMTCT scaling-up plan developed by the Ministry of Health should focus on coverage of high prevalence population and quality of services provided rather than number of physical provinces reached; (4) exclusive breastfeeding strategy should be promoted as part of the PMTCT program; and (5) for a smooth and effective rolling out of PMTCT services nationwide, development of a national training plan and execution of this plan must precede any other initiations of the PMTCT scaling-up plan. ^

HEALTH CARE COST INCREASES IN METROPOLITAN AREAS

The research project is an extension of the economic theory to the health care field and health care research projects evaluating the influence of demand and supply variables upon medical care inflation. The research tests a model linking the demographic and socioeconomic characteristics of the population, its community case mix, and technology, the prices of goods and services other than medical care, the way its medical services are delivered and the health care resources available to its population to different utilization patterns which, consequently, lead to variations in health care prices among metropolitan areas. The research considers the relationship of changes in community characteristics and resources and medical care inflation.^ The rapidly increasing costs of medical care have been of great concern to the general public, medical profession, and political bodies. Research and analysis of the main factors responsible for the rate of increase of medical care prices is necessary in order to devise appropriate solutions to cope with the problem. An understanding of the community characteristics and resources-medical care costs relationships in the metropolitan areas potentially offers guidance in individual plan and national policy development.^ The research considers 145 factors measuring community milieu (demographic, social, educational, economic, illness level, prices of goods and services other than medical care, hospital supply, physicians resources and techological factors). Through bivariate correlation analysis, the number of variables was reduced to a set of 1 to 4 variables for each cost equation. Two approaches were identified to track inflation in the health care industry. One approach measures costs of production which accounts for price and volume increases. The other approach measures price increases. One general and four specific measures were developed to represent each of the major approaches. The general measure considers the increase on medical care prices as a whole and the specific measures deal with hospital costs and physician's fees. The relationships among changes in community characteristics and resources and health care inflation were analyzed using bivariate correlation and regression analysis methods. It has been concluded that changes in community characteristics and resources are predictive of hospital costs and physician's fees inflation, but are not predictive of increases in medical care prices. These findings provide guidance in the formulation of public policy which could alter the trend of medical care inflation and in the allocation of limited Federal funds.^