Book reviews

Schizophrenia and Madness by Andrew Croydon Smith Winchester, Mass.: Allen & Unwin, 1982, 174 pages, $19.95, cloth; $8.95, paper.

Seeing the Insane by Sander L. Gilman New York: John Wiley S Sons, 1982, 241 pages, $39.00, cloth.

Knowing Right from Wrong: The Insanity Defense of Daniel McNaughtan by Richard Moran New York: The Free Press, 1981, 234 pages.

The Sociology of the Offbeat: Essays in the Science of Human Behavior by Robert Khoury Washington, D.C.: University Press of America, 1982, 418 pages, $24.95, cloth, $13.75, paper.     

Tele‐web Psychology in Rural South Australia: The Logistics of Setting Up a Remote University Clinic Staffed by Clinical Psychologists in Training

There is a significant shortage of clinical psychology services in rural and remote Australia. It is proposed that tele‐web psychology may provide one potential solution to this inequity in health provision. A tele‐web psychology project was developed through a partnership between a university and country health service setting in rural South Australia. Tele‐web psychology was conducted by Provisional Psychologists on their first clinical placement, with patients attending sessions in a community mental health team hub in a regional centre north of Adelaide. This article describes the logistics of setting up a collaborative tele‐web psychology service and makes recommendations on how to expedite the success of this type of venture.     

The role of additional information in the compliance,satisfaction, psychological,and emotion responses of non-surgical patients with low back pain: An exploratory investigation

Abstract

Noncompliance and the psychological and emotional states of patients with low back pain are major concerns for health professionals. The current study evaluated whether amount of information available to patients enhanced compliance to a medical regimen and whether it reduced negative emotions in patients with low back pain. Forty-five orthopaedic non-surgical patients with low back pain were randomly assigned to one of three information presentation conditions: 1) Standard, 2) Pre-examination, and 3) Post-examination. Patients were also separated by compensation and noncompensation within each information group. Patients completed questionnaires at their initial visit and at their follow-up which evaluated their: levels of compliance to a prescribed treatment program, psychological, and emotional states. Results indicated that some patients benefitted from receiving additional information as the Pre-examination and Post-examination groups demonstrated superior comprehension and recall as well as higher levels of compliance to a physical therapy program. In addition, compensation patients complained of more negative psychological and emotional behaviors in comparison to noncompensation patients. Implications of the research and future research considerations were discussed.     

The computerized scoring algorithm for the autobiographical memory test: updates and extensions for analyzing memories of English-speaking adults

ABSTRACT

The Autobiographical Memory Test (AMT) has been central in psychopathological studies of memory dysfunctions, as reduced memory specificity or overgeneralised autobiographical memory has been recognised as a hallmark vulnerability for depression. In the AMT, participants are asked to generate specific memories in response to emotional cue words, and their responses are scored by human experts. Because the manual coding takes some time, particularly when analysing a large dataset, recent studies have proposed computerised scoring algorithms. These algorithms have been shown to reliably discriminate between specific and non-specific memories of English-speaking children and Dutch- and Japanese-speaking adults. The key limitation is that the algorithm is not developed for English-speaking adult memories, which may cover a wider range of vocabulary that the existing algorithm for English-speaking child memories cannot process correctly. In the present study, we trained a new support vector machine to score memories of English-speaking adults. In a performance test (predicting memory specificity against human expert coding), the adult-memory algorithm outperformed the child-memory variant. In another independent performance test, the adult-memory algorithm showed robust performances to score memories that were generated in response to a different set of cues. These results suggest that the adult-memory algorithm reliably scores memory specificity.     

Using Ensemble-Based Methods for Directly Estimating Causal Effects: An Investigation of Tree-Based G-Computation

Researchers are increasingly using observational or nonrandomized data to estimate causal treatment effects. Essential to the production of high-quality evidence is the ability to reduce or minimize the confounding that frequently occurs in observational studies. When using the potential outcome framework to define causal treatment effects, one requires the potential outcome under each possible treatment. However, only the outcome under the actual treatment received is observed, whereas the potential outcomes under the other treatments are considered missing data. Some authors have proposed that parametric regression models be used to estimate potential outcomes. In this study, we examined the use of ensemble-based methods (bagged regression trees, random forests, and boosted regression trees) to directly estimate average treatment effects by imputing potential outcomes. We used an extensive series of Monte Carlo simulations to estimate bias, variance, and mean squared error of treatment effects estimated using different ensemble methods. For comparative purposes, we compared the performance of these methods with inverse probability of treatment weighting using the propensity score when logistic regression or ensemble methods were used to estimate the propensity score. Using boosted regression trees of depth 3 or 4 to impute potential outcomes tended to result in estimates with bias equivalent to that of the best performing methods. Using an empirical case study, we compared inferences on the effect of in-hospital smoking cessation counseling on subsequent mortality in patients hospitalized with an acute myocardial infarction.     

A Tutorial and Case Study in Propensity Score Analysis: An Application to Estimating the Effect of In-Hospital Smoking Cessation Counseling on Mortality

Propensity score methods allow investigators to estimate causal treatment effects using observational or nonrandomized data. In this article we provide a practical illustration of the appropriate steps in conducting propensity score analyses. For illustrative purposes, we use a sample of current smokers who were discharged alive after being hospitalized with a diagnosis of acute myocardial infarction. The exposure of interest was receipt of smoking cessation counseling prior to hospital discharge and the outcome was mortality with 3 years of hospital discharge. We illustrate the following concepts: first, how to specify the propensity score model; second, how to match treated and untreated participants on the propensity score; third, how to compare the similarity of baseline characteristics between treated and untreated participants after stratifying on the propensity score, in a sample matched on the propensity score, or in a sample weighted by the inverse probability of treatment; fourth, how to estimate the effect of treatment on outcomes when using propensity score matching, stratification on the propensity score, inverse probability of treatment weighting using the propensity score, or covariate adjustment using the propensity score. Finally, we compare the results of the propensity score analyses with those obtained using conventional regression adjustment.     

Understanding the emotional past: relations between parent and child contributions in emotionally negative and nonnegative events

The past event conversations of 33 mothers with their 3-year-old children (18 girls and 15 boys) were selected from a larger sample based on their discussion of negative events. Negative events included both those that were negative in topic and those that contained negative incidents but were otherwise positively themed. Within-subjects comparisons were made between the negative events and a neutral or positive event. There were few differences in how mothers and their children talked about negative and nonnegative events. Children did include more interpretations (internal state and causal references) in their negative event conversations. For both event types, mothers who talked more about the past events had children who reported more. When maternal talkativeness was controlled, involving children in the negative event conversations through deflecting the conversational turn predicted children's total contributions and number of interpretations. Repeating information and requests for information while constraining the topic was negatively related to the number of details children reported for nonnegative past events. Conversations about minor negative experiences demonstrate that mothers can influence children's involvement in discussions and understanding of the past.     

The effects of prompting and feedback on drivers' stopping at stop signs

Complete stops at a high-traffic intersection on the campus of a public university were increased with a prompting and consequence intervention. Data were collected at two opposing stop signs (Stop A and Stop B); however, the intervention was implemented only at Stop A. During the intervention, a volunteer stood next to Stop A holding a poster that read, "Please Stop--I Care," with "Thank You For Stopping" on the reverse side. The poster was held by the volunteer so that drivers approaching Stop A could read the sign. Drivers approaching Stop B could see the volunteer but could not read the sign. When vehicles approaching Stop A made a complete stop, the volunteer flashed the "thank you" side of the poster to the driver. The strategy was evaluated using a multielement design. The intervention increased stops completed at Stop A from a baseline average of 13% to an intervention average of 52%. Stop B also showed improved stopping, from a baseline average of 6% to an intervention average of 28%. Data showed no relation between complete stops made and the drivers' use of turn signals and safety belts.     

A community meeting protocol for assault prevention

Assaultive behavior by patients is a serious problem throughout healthcare facilities. Currently, wide variability exists in the approaches used to deal with assaultive behavior. The immediate objective of this study was to perform a consensus validation of the community meeting as a prevention and intervention measure for assault. The community meeting is a regular meeting of all staff and patients for communication, ward management, or psychiatric treatment. A delphi survey, with three iterations, was used to operationalize the collection of judgments and achieve convergence of opinion from expert respondents. A protocol for a Violence Prevention Community Meeting (VPCM) was established.