The assessment of standardized training programs in public health preparedness

The Texas Bioterrorism Continuing Education Consortium (BCE) provided National Disaster Life Support (NDLS) training courses throughout the state of Texas in 2005, to help improve knowledge and skills pertaining to bioterrorism and other public health emergencies. The NDLS training courses include curriculum in Basic Disaster Life Support (BDLS) and Core Disaster Life Support (CDLS). A course evaluation which included items assessing ability and willingness of training participants, role of responders, and other variables was mailed to all NDLS participants who provided contact information. An analysis was conducted to determine whether the survey respondents participated in the Hurricanes Katrina and/or Rita relief efforts, as well as to evaluate the impact of the NDLS training courses on the participant's ability and willingness to respond during a disaster. The study population (n = 2150) consisted mostly of nurses (50%) (n=1074). A chi-square test of analysis indicated the following results. Among the survey respondents who took the CDLS course, there was no statically significant difference by occupation pertaining to ability or willingness to respond (x2 [df = 5] = 4.02, p= 0.546); (x2 [df = 5] = 2.45, p = .783). However, there was a statistically significant difference among those respondents who took the BDLS course with respect to ability, and a slightly significant difference with respect to willingness (x2 [df = 5] = 13.35, p = .020 and (x2 = [df = 5] = 10.299, p = .067). These findings are similar to previous studies assessing willingness to respond to a disaster.^ A second analysis was conducted with these survey data to evaluate the implications for disaster response training for the NDLS courses. Results indicated that the majority of disaster responders served in the role for which they were professionally trained (Physicians=68%; Nurses = 50.4%). Nurses, EMT, and Fire professionals served in multiple roles. These results suggest the importance of developing training programs that will prepare professionals to serve in multiple roles. The development of standardized evaluation methods would fill an important gap in assessing impact of national training programs. ^

A PROPOSED SAMPLE-BASED TECHNIQUE TO ESTIMATE THE STANDARDIZED MORTALITY RATIO

Evaluation of a series of deaths due to a particular disease is a frequently requested task in occupational epidemiology. There are several techniques available to determine whether a series represents an occupational health problem. Each of these techniques, however, is subject to certain limitations including cost, applicability to a given situation, feasibility relative to available resources, or potential for bias. In light of these problems, a technique was developed to estimate the standardized mortality ratio at a greatly reduced cost. The technique is demonstrated by its application in the investigation of brain cancer among employees of a large chemical company. ^

REGRESSION ANALYSIS FOR STANDARDIZED MORTALITY RATIOS WITH APPLICATION TO OCCUPATIONAL FOLLOW-UP STUDIES

Traditional comparison of standardized mortality ratios (SMRs) can be misleading if the age-specific mortality ratios are not homogeneous. For this reason, a regression model has been developed which incorporates the mortality ratio as a function of age. This model is then applied to mortality data from an occupational cohort study. The nature of the occupational data necessitates the investigation of mortality ratios which increase with age. These occupational data are used primarily to illustrate and develop the statistical methodology.^ The age-specific mortality ratio (MR) for the covariates of interest can be written as MR(,ij...m) = ((mu)(,ij...m)/(theta)(,ij...m)) = r(.)exp (Z('')(,ij...m)(beta)) where (mu)(,ij...m) and (theta)(,ij...m) denote the force of mortality in the study and chosen standard populations in the ij...m('th) stratum, respectively, r is the intercept, Z(,ij...m) is the vector of covariables associated with the i('th) age interval, and (beta) is a vector of regression coefficients associated with these covariables. A Newton-Raphson iterative procedure has been used for determining the maximum likelihood estimates of the regression coefficients.^ This model provides a statistical method for a logical and easily interpretable explanation of an occupational cohort mortality experience. Since it gives a reasonable fit to the mortality data, it can also be concluded that the model is fairly realistic. The traditional statistical method for the analysis of occupational cohort mortality data is to present a summary index such as the SMR under the assumption of constant (homogeneous) age-specific mortality ratios. Since the mortality ratios for occupational groups usually increase with age, the homogeneity assumption of the age-specific mortality ratios is often untenable. The traditional method of comparing SMRs under the homogeneity assumption is a special case of this model, without age as a covariate.^ This model also provides a statistical technique to evaluate the relative risk between two SMRs or a dose-response relationship among several SMRs. The model presented has application in the medical, demographic and epidemiologic areas. The methods developed in this thesis are suitable for future analyses of mortality or morbidity data when the age-specific mortality/morbidity experience is a function of age or when there is an interaction effect between confounding variables needs to be evaluated. ^