Screening and brief intervention for alcohol problems among college students treated in a university hospital emergency department

The authors evaluated a protocol to screen and provide brief interventions for alcohol problems to college students treated at a university hospital emergency department (ED). Of 2,372 drinkers they approached, 87% gave informed consent. Of those, 54% screened positive for alcohol problems (Alcohol Use Disorders Identification Test score < or = 6). One half to two thirds of the students who screened positive drank 2 to 3 times a week, drank 7 or more drinks per typical drinking day, or had experienced alcohol dependence symptoms within the past year. Ninety-six percent of screen-positive students accepted counseling during their ED visit. Three quarters of those questioned at 3-month follow-up reported that counseling had been helpful and that they had decreased their alcohol consumption. The prevalence of alcohol problems, high rates of informed consent and acceptance of counseling, and improved outcomes suggest that the ED is an appropriate venue for engaging students at high risk for alcohol problems.     

Economic consequences of marital dissolution for blacks

Paying particular attention to the economic impact of post-divorce on black survey respondents of both sexes, "this study analyzes Weitzman's suggestion that men and women lose economic well-being in the first year after divorce. Family incomes of divorced women and men are compared with [those of] their married counterparts for five SES [socioeconomic status] categories. Using t-tests, it was found that, for most categories, for both genders, incomes of divorced persons were lower than incomes of married persons. Family incomes were regressed against a set of four control variables and a marital status variable. The marital status variable was statistically significant for four of the five SES categories for females. This was not true for males. Policy implications are considered." The geographical focus is on the United States.     

Banking: Time to unbundle the services?

Banking services have undergone radical changes—but this is a continuing process and restructured competition in the financial services calls for a restructured financial system. One significant area for restructure is the distribution—whether to personalize or de-personalize. If depersonalization means cheaper and more efficient service this may well be acceptable. The banks must also make decisions on the services offered and how to counteract the downward trend of maturing techniques by innovation and the encouragement of economic growth.     

Research and development absorptive capacity: a Māori perspective

This paper presents a view of research and development absorptive capacity from a Māori perspective. The assessment is part of a case study of a longitudinal programme – Science for Technological Innovation: Kia kotahi mai – Te Ao Putaiao me te Ao Hanagarau that aims to increase Aotearoa New Zealand’s capacity to use sci-tech for economic benefit. The paper finds that while Aotearoa New Zealand’s macro policy and meso institutional levels have become more responsive to Māori research and development demands, at the micro level of the individual or the firm there are still constraints given the small numbers of Māori in science, technology, engineering and mathematics. In response to this, a novel model of Māori sci-tech capacity is under development that considers not only research and development technical capacities, but also the human and relational capacities required to accelerate absorptive capacity to respond to Māori social and economic aspirations.     

Monitoring postpartum haemorrhage in Australia: Opportunities to improve reporting

Problem

The rate and severity of postpartum haemorrhage (PPH) are increasing, according to research reports and clinical anecdote, causing a significant health burden for Australian women giving birth. However, reporting a national Australian rate is not possible due to inconsistent reporting of PPH.

Unravelling the organization

The application of a computer package for drawing cause maps (NETGRAPH) to a cause map originally given by Hall as part of a study of the ‘Saturday Evening Post’ is described. It is shown how the cause map produced by the computer reveals a number of subsystems. The way in which these can be more clearly revealed by manually redrawing the computer cause map is demonstrated. The subsystems thus obtained are shown to be identical to those given by Hall, except in one case where one of Hall's subsystems is split into two. It is suggested that this split is sensible from an organisational analysis standpoint. The organisational system is analysed in terms of a number of insights derived from the computer-produced cause map including its apparent lack of a formal model of the impact of the Magazine's decisions on the environment. Such a model is claimed by Beer to be indispensable, from a systems theory standpoint, to any ‘viable’ organisational system. The conclusions derived from this analysis are similar to those drawn by Hall, though they do extend his analysis in several respects. It is argued that the results show that the package is of potential use in analysing cause maps of organisations.     

Optimal allocation of sample sizes between regular banding and radio-tagging for estimating annual survival and emigration rates

Many authors have shown that a combined analysis of data from two or more types of recapture survey brings advantages, such as the ability to provide more information about parameters of interest. For example, a combined analysis of annual resighting and monthly radio-telemetry data allows separate estimates of true survival and emigration rates, whereas only apparent survival can be estimated from the resighting data alone. For studies involving more than one type of survey, biologists should consider how to allocate the total budget to the surveys related to the different types of marks so that they will gain optimal information from the surveys. For example, since radio tags and subsequent monitoring are very costly, while leg bands are cheap, the biologists should try to balance costs with information obtained in deciding how many animals should receive radios. Given a total budget and specific costs, it is possible to determine the allocation of sample sizes to different types of marks in order to minimize the variance of parameters of interest, such as annual survival and emigration rates. In this paper, we propose a cost function for a study where all birds receive leg bands and a subset receives radio tags and all new releases occur at the start of the study. Using this cost function, we obtain the allocation of sample sizes to the two survey types that minimizes the standard error of survival rate estimates or, alternatively, the standard error of emigration rates. Given the proposed costs, we show that for high resighting probability, e.g. 0.6, tagging roughly 10-40% of birds with radios will give survival estimates with standard errors within the minimum range. Lower resighting rates will require a higher percentage of radioed birds. In addition, the proposed costs require tagging the maximum possible percentage of radioed birds to minimize the standard error of emigration estimates.     

The use of auxiliary variables in capture-recapture modelling: An overview

I review the use of auxiliary variables in capture-recapture models for estimation of demographic parameters (e.g. capture probability, population size, survival probability, and recruitment, emigration and immigration numbers). I focus on what has been done in current research and what still needs to be done. Typically in the literature, covariate modelling has made capture and survival probabilities functions of covariates, but there are good reasons also to make other parameters functions of covariates as well. The types of covariates considered include environmental covariates that may vary by occasion but are constant over animals, and individual animal covariates that are usually assumed constant over time. I also discuss the difficulties of using time-dependent individual animal covariates and some possible solutions. Covariates are usually assumed to be measured without error, and that may not be realistic. For closed populations, one approach to modelling heterogeneity in capture probabilities uses observable individual covariates and is thus related to the primary purpose of this paper. The now standard Huggins-Alho approach conditions on the captured animals and then uses a generalized Horvitz-Thompson estimator to estimate population size. This approach has the advantage of simplicity in that one does not have to specify a distribution for the covariates, and the disadvantage is that it does not use the full likelihood to estimate population size. Alternately one could specify a distribution for the covariates and implement a full likelihood approach to inference to estimate the capture function, the covariate probability distribution, and the population size. The general Jolly-Seber open model enables one to estimate capture probability, population sizes, survival rates, and birth numbers. Much of the focus on modelling covariates in program MARK has been for survival and capture probability in the Cormack-Jolly-Seber model and its generalizations (including tag-return models). These models condition on the number of animals marked and released. A related, but distinct, topic is radio telemetry survival modelling that typically uses a modified Kaplan-Meier method and Cox proportional hazards model for auxiliary variables. Recently there has been an emphasis on integration of recruitment in the likelihood, and research on how to implement covariate modelling for recruitment and perhaps population size is needed. The combined open and closed 'robust' design model can also benefit from covariate modelling and some important options have already been implemented into MARK. Many models are usually fitted to one data set. This has necessitated development of model selection criteria based on the AIC (Akaike Information Criteria) and the alternative of averaging over reasonable models. The special problems of estimating over-dispersion when covariates are included in the model and then adjusting for over-dispersion in model selection could benefit from further research.