The use of a computer-assisted interview to administer the Child Behavior Checklist in a child psychiatry service

Maternal smoking cessation and reduced academic and behavioral problems in offspring

BACKGROUND

There is some debate whether smoking during pregnancy causes or is only a risk factor for negative academic outcomes and increased risk of psychopathology in offspring. This study evaluated whether maternal smoking cessation would reduce the risk of adverse outcomes in school-aged children.

METHODS

Women completed an online survey that included items about child scholastic performance and the Child Behavior Checklist (CBCL). Mothers were divided based on pre-pregnancy and pregnancy smoking status into: (1) Nonsmokers (N=320); (2) Women that smoked in the 3 months preceding and throughout pregnancy (Smokers, N=83); and (3) Smoking before, but not during pregnancy (Quitters, N=72).

RESULTS

The Smokers and Quitters groups each had lower education and incomes compared to Nonsmokers but were indistinguishable from each other on these measures. The offspring of Smokers were more likely (p<.05) to be behind their peers on standardized tests in math (27.8%) relative to both Nonsmokers (17.4%) and Quitters (13.0%) with similar findings for reading. Smokers reported more behavioral problems by their children in several areas including Hyperactivity and Impulsivity, Social problems, and Externalizing problems including Aggression and Rule-Breaking. Further, the children of Quitters had significantly fewer Attention and Externalizing problems than Smokers. These outcomes were observed even after accounting for the variance attributable to maternal education and several other potential confounds.

CONCLUSIONS

Together, these findings indicate that smoking cessation is associated with reduced risk of having children with academic and neuropsychological difficulties. These outcomes are discussed within the framework that nicotine may be a neurobehavioral teratogen.

Continuous improvement evaluation: a framework for multisite evaluation studies

This article proposes the use of the continuous improvement evaluation (CIE), a framework for multisite demonstration or evaluation studies. This framework is designed for studying intervention programs that change during the evaluation. The development of family drug courts is provided as an example. CIE relies on outcome data collected over time and benchmarked across similar cases in comparison sites; thus, this study was designed to collect data on effectiveness of intervention programs at multiple sites and over time. A weight is calculated for similarity of any two cases based on features they share. In statistical process control charts, these weights are used to compare outcomes at the site against the average of similar cases in comparison groups. Once data are benchmarked, program staff meet to discuss process changes that have led to improvements in outcomes. To ensure that intervention programs have access to evaluation reports on demand, information technology is used to collect, clean, and pool data. Computers generate study reports, and evaluators review reports after release to clients. Statistical tools can be used to evaluate changing programs. Traditional evaluators may be concerned about some threats to validity associated with CIE. The article concludes with a discussion of typical threats to validity and how these threats are addressed in the CIE framework.

Assessing substance abuse treatment needs among the homeless: a telephone-based interactive voice response system

OBJECTIVES

We report on a pilot project that used a telephone-based interactive voice response system accessed by cellular phones at diverse sites, to interview homeless persons on their need for alcohol and other drug treatment.

METHODS

Using this technique we surveyed 207 homeless adults at eight shelters in Cleveland, Ohio.

RESULTS

The cellular approach was comparable to human-administered interviews in reliability and validity and yielded higher self-reported levels of drug use.

CONCLUSIONS

Cellular telephones and interactive voice response interviewing systems can be useful tools in assessing for the health-service needs of difficult-to-reach populations.

Neural networks and psychiatry: candidate applications in clinical decision making

Neural networks comprise a fundamentally new type of computer system inspired by the functioning of neurons in the brain. Such networks are good at solving problems that involve pattern recognition and categorisation. An important difference between a neural network and a traditional computer system is that in developing an application, a neural network is not programmed; instead, it is trained to solve a particular type of problem. This ability to learn to solve a problem makes neural networks adaptable to solving a wide variety of problems, some of which have proved intractable using a traditional computing approach. Neural networks are particularly suited to tasks involving the categorisation of patterns of information, such as is required in diagnosis and clinical decision making. In the last three years reports of applications involving neural networks have begun to appear in the medical literature, and these are described in this paper. However, a comprehensive search of the literature has shown that there have not as yet been reports of any applications in psychiatry. This paper discusses the nature of clinical decision making, outlines the sorts of problems in psychiatry which neural networks applications might be developed to address, and gives examples of candidate applications in clinical decision making.

Automated monitoring of outcomes: application to treatment of drug abuse

This paper suggests a new approach for lowering follow-up costs, improving the delivery of health care, and monitoring treatment outcomes. An automated telephone follow-up system that calls, identifies, and interviews clients is an alternative method for monitoring patients that may be both reliable and cost-effective. To test the viability of such a system, the authors monitored a patient population that has historically been shown to be difficult to follow: recovering drug users and alcoholics. Forty-two subjects were asked to call the computer and complete interviews on a weekly basis for five months. Clients answered 25 recorded questions by pressing the keys on their telephone pads. The computer automatically analyzed the clients' answers and estimated a probability of relapse for each client. In addition, the computer automatically called subjects who failed to complete interviews at the scheduled times. The study showed that self-reported data collected by a computer are as reliable as data obtained through a written questionnaire and that clients are more willing to respond to computer interviews than to mailed written questionnaires. This study also provides preliminary data on the predictive ability of a questionnaire for predicting relapse.

Epidemiological comparisons of American and French children: Parent reports of problems and competencies for ages 6-11

We compared problems and competencies reported by parents on the Child Behavior Checklist for 1842 demographically matched nonreferred French and American children. American children tended to receive higher competence scores, while French children tended to receive higher problem scores. Scores were higher for French than American children on more Internalizing items than Externalizing items. Nearly all nationality differences were small according to Cohen's (1988) criteria. There were few main effects of sex or age group, and fewer significant interactions. Findings are compared with findings on the Child Behavior Checklist in Holland, Australia, Puerto Rico, and Thailand.