Culminating experience: Initiation of cholinesterase inhibitors in an inpatient setting

We examined the practice of initiating Cholinesterase Inhibitors (ChEI) in a Veterans Affairs Medical Center. Patients hospitalized in FY 2008 and prescribed ChEI were identified. We reviewed electronic medical records, comparing those started on ChEI during hospitalization with those continuing ChEI from outpatient status. Of 282 patients receiving ChEI during hospitalization, 15.6% (44) were new-starts and 84.3% (238) were continuing medication. Median length of stay was 16 days in new-starts vs. 6 days in continuation patients (P<0.05). 38.6% new-starts were also treated for infection, which is a delirium risk factor. Chart review also suggested possible treatment for delirium by initiation of benzodiazepines and antipsychotics in 11.4% and 22.7% new-starts respectively. We observed a substantive practice of initiating ChEIs in hospitalized elderly who were at risk of delirium. Though there was no difference in 30-day mortality and readmission rates, new-starts were more likely to have a prolonged hospital stay than continuation patients.^

The assumptions and effects of conservative procedures in low -dose risk assessment for setting safety standards

Conservative procedures in low-dose risk assessment are used to set safety standards for known or suspected carcinogens. However, the assumptions upon which the methods are based and the effects of these methods are not well understood.^ To minimize the number of false-negatives and to reduce the cost of bioassays, animals are given very high doses of potential carcinogens. Results must then be extrapolated to much smaller doses to set safety standards for risks such as one per million. There are a number of competing methods that add a conservative safety factor into these calculations.^ A method of quantifying the conservatism of these methods was described and tested on eight procedures used in setting low-dose safety standards. The results using these procedures were compared by computer simulation and by the use of data from a large scale animal study.^ The method consisted of determining a "true safe dose" (tsd) according to an assumed underlying model. If one assumed that Y = the probability of cancer = P(d), a known mathematical function of the dose, then by setting Y to some predetermined acceptable risk, one can solve for d, the model's "true safe dose".^ Simulations were generated, assuming a binomial distribution, for an artificial bioassay. The eight procedures were then used to determine a "virtual safe dose" (vsd) that estimates the tsd, assuming a risk of one per million. A ratio R = ((tsd-vsd)/vsd) was calculated for each "experiment" (simulation). The mean R of 500 simulations and the probability R $<$ 0 was used to measure the over and under conservatism of each procedure.^ The eight procedures included Weil's method, Hoel's method, the Mantel-Byran method, the improved Mantel-Byran, Gross's method, fitting a one-hit model, Crump's procedure, and applying Rai and Van Ryzin's method to a Weibull model.^ None of the procedures performed uniformly well for all types of dose-response curves. When the data were linear, the one-hit model, Hoel's method, or the Gross-Mantel method worked reasonably well. However, when the data were non-linear, these same methods were overly conservative. Crump's procedure and the Weibull model performed better in these situations. ^

State rate -setting in conjunction with Medicare prospective payment: The effects of the Maine program

Maine implemented a hospital rate-setting program in 1984 at approximately the same time as Medicare started the Prospective Payment System (PPS). This study examines the effectiveness of the program in controlling cost over the period 1984-1989. Hospital costs in Maine are compared to costs in 36 non rate-setting states and 11 other rate-setting states. Changes in cost per equivalent admission, adjusted patient day, per capita, admissions, and length of stay are described and analyzed using multivariate techniques. A number of supply and demand variables which were expected to influence costs independently of rate-setting were controlled for in the study. Results indicate the program was effective in containing costs measured in terms of cost per adjusted patient day. However, this was not true for the other two cost variables. The average length of stay increased during the period in Maine hospitals indicating an association with rate-setting. Several supply variables, especially the number of beds per 1,000 population were strongly associated with the cost and use of hospitals. ^