Efficacy of behavioral management and patient education on vascular access cleansing compliance in hemodialysis patients

Compared four treatment conditions to test their ability to enhance compliance with vascular access cleansing (VAC) procedures in a group of 56 hemodialysis patients. The conditions were patient education, behavioral management with monetary incentive, patient education/behavioral management, and attention control. Behavioral observers rated VAC behavior at pretreatment, posttreatment 1-month follow-up, and 1-year follow-up. Knowledge of VAC procedures was also assessed via a questionnaire at pretreatment and posttreatment. Data were analyzed using repeated-measures multivariate analyses of variance. Results indicated that the patients in the education/behavioral, behavioral, and education groups gave significantly more correct answers on our VAC knowledge questionnaires at posttreatment than did patients in the attention control group. Further, patients in the education/behavioral and behavioral groups completed significantly more VAC steps at posttreatment and 1-month follow-up than did patients in the education group and in the attention control group. Differences were not maintained at 1-year follow-up, although more than 50% of the patients were lost to follow-up. Implications of the present findings for behavioral and educational interventions are discussed.     

Effects of a Peer Engagement Program on Socially Withdrawn Children with a History of Maltreatment

Children with a history of child maltreatment often have limited social interactions with other children and adults. This study examined the effects of a Peer Engagement Program, consisting of peer mentoring and social skills training with positive reinforcement, in three children with low levels of oral and social interaction. A multiple baseline, single-subject research design was used to test whether introduction of the intervention was associated with increased, directly observed oral interaction and engagement in social activities with peers and adults. The Child Behavior Checklist (CBCL) and the Social Skills Rating Scale (SSRS) were administered before and after intervention. All children showed increased levels of oral and social interaction and improved scores on the SSRS and the CBCL.     

How to blow the Whistle and still have a career afterwards

Filing charges of scientific misconduct can be a risky and dangerous endeavor. This article presents rules of conduct to follow when considering whether to report perceived misconduct, and a set of step-by-step procedures for responsible whistleblowing that describe how to do so once the decision to report misconduct has been made. This advice is framed within the university setting, and may not apply fully in industrial settings. Ms. Gunsalus, an attorney, has been responsible for a wide range of compliance issues and academic policy matters at her university including responding to allegations of scientific misconduct. She served on the United States Commission on Research Integrity and spent six years on the AAAS Committee on Scientific Freedom and Responsibility, four of them as chair. An earlier version of this paper was presented at the symposium entitled “Damned If You Do, Damned If You Don’t: What the Scientific Community Can Do About Whistleblowing” held during the Annual Meeting of the AAAS, Seattle, Washington, 15 February, 1997.     

RELIGION AND FRANCIS BACON'S SCIENTIFIC UTOPIANISM

Francis Bacon often is depicted as a patriarch of modernity who promotes human rational action over faith in divine Providence and as a secular humanitarian who realized that improvement of the human condition depended on human action and not on God's saving acts in history. Bacon's New Atlantis is usually described as a “scientific utopia” because its ideal order, harmony, and prosperity are the result of the investigations of nature conducted by the members of Solomon's House. I challenge these characterizations by showing that Bacon's so‐called scientific utopianism is grounded in his religious convictions that his age was one of Providential intervention and that he was God's agent for an apocalyptic transformation of the human condition. I examine the centrality of these religious themes in two of his philosophical works, The Advancement of Learning and The Great Instauration, which are well known for setting out Bacon's critique of the state of learning and for presenting the principles of his epistemology. Analysis of The Advancement of Learning demonstrates Bacon's conviction that his reform of natural philosophy was part of a Providentially guided, twofold restoration of the knowledge of nature and the knowledge of God. Examination of The Great Instauration reveals that Bacon sees his age as one of apocalyptic transformation of the human condition that restores humanity to a prelapsarian state. Analysis of the New Atlantis shows that utopian perfection can be achieved only through a combination of right religion and the proper study of nature. Moreover, when the “scientific” work of Solomon's House is recontextualized within the religious themes of salvation and deliverance that permeate the New Atlantis, the full scope of Bacon's “scientific utopianism” can be seen, and this project is not the one usually portrayed in scholarly treatments. Bacon's program for rehabilitating humanity and its relation to nature is not a secular, scientific advance through which humanity gains dominion over nature and mastery of its own destiny but rather one guided by divine Providence and achieved through pious human effort.     

A double bootstrap method to analyze linear models with autoregressive error terms

A new method for the analysis of linear models that have autoregressive errors is proposed. The approach is not only relevant in the behavioral sciences for analyzing small-sample time-series intervention models, but it is also appropriate for a wide class of small-sample linear model problems in which there is interest in inferential statements regarding all regression parameters and autoregressive parameters in the model. The methodology includes a double application of bootstrap procedures. The 1st application is used to obtain bias-adjusted estimates of the autoregressive parameters. The 2nd application is used to estimate the standard errors of the parameter estimates. Theoretical and Monte Carlo results are presented to demonstrate asymptotic and small-sample properties of the method; examples that illustrate advantages of the new approach over established time-series methods are described.