Evaluating the Effects of Technology-Based Self-Monitoring on Positive Staff-Consumer Interactions in Group Homes.

The quality and frequency of positive interactions between staff and consumers are related to reductions in consumer problem behavior and increases in other desired outcomes, such as leisure and self-help skills. Unfortunately, the frequency with which group home staff positively interact with consumers is often low and regularly requires intervention. We evaluated the effects of technology-based self-monitoring on positive interactions between staff and consumers during consumer leisure time. Participant data were collected off-site through video recordings from cameras already present in the group homes. During baseline, participant interactions were low. Upon introduction of an intervention containing self-monitoring completed via a tablet device, staff interactions increased and maintained when the intervention was in effect. Supplemental feedback via text message was provided to two of the three participants to reach criterion. These findings demonstrate the utility of technology-based self-monitoring for some individuals to increase positive staff-consumer interactions in group homes.

Effects of a Systems-Level Intervention to Improve Trainer Integrity in a Behavioral Healthcare Organization.

Objectives: Direct support professionals (DSPs) play a critical role in health-related outcomes for individuals with intellectual and developmental disabilities (IDD) who reside in congregate living settings. Large behavioral healthcare organizations often rely on staff to function as peer trainers for newly hired DSPs. Organizations should adopt empirically supported training techniques to prepare peer trainers for their role and develop systems to ensure ongoing integrity of the training system. The purpose of this program description is to summarize consultation activities that attempted to create these systems. Methods: Staff members were trained to function as peer trainers, an assessment was conducted to determine the barriers to training in the natural environment, and a systems-level intervention informed by the assessment was implemented to improve peer trainer integrity. Results: The assessment revealed peer trainers were often unaware when they were expected to train and did not receive feedback or programmed consequences for training newly hired DSPs. A systems-level intervention containing a prompt (reminder) about upcoming training and feedback plus a monetary incentive produced improvements in trainer integrity. Conclusions: A systems-level intervention based on an assessment can improve peer trainer integrity. Ensuring peer trainer integrity increases the likelihood that newly hired DSPs will implement health-related protocols with individuals with IDD.

Evidence-Based Performance Management: Applying Behavioral Science to Support Practitioners.

The science of behavior has effectively addressed many areas of social importance, including the performance management of staff working in human-service settings. Evidence-based performance management entails initial preservice training and ongoing staff support. Initial training reflects a critical first training component and is necessary for staff to work independently within an organization. However, investment in staff must not end once preservice training is complete. Ongoing staff support should follow preservice training and involves continued coaching and feedback. The purpose of this article is to bridge the research-to-practice gap by outlining research-supported initial training and ongoing staff support procedures within human-serving settings, presenting practice guidelines, and sharing information about easy-to-implement ways practitioners may stay abreast of current research.

Clinical neuropathy scales in neuropathy associated with impaired glucose tolerance.

AIMS: Disagreement exists on effective and sensitive outcome measures in neuropathy associated with impaired glucose tolerance (IGT). Nerve conduction studies and skin biopsies are costly, invasive and may have their problems with reproducibility and clinical applicability. A clinical measure of neuropathy that has sufficient sensitivity and correlates to invasive measures would enable significant future research. METHODS: Data was collected prospectively on patients with IGT and symptomatic early neuropathy (neuropathy symptoms <2years) and normal controls. The seven scales that were examined were the Neuropathy Impairment Score of the Lower Limb (NIS-LL), Michigan Diabetic Neuropathy Score (MNDS), modified Toronto Clinical Neuropathy Scale (mTCNS), Total Neuropathy Score (Clinical) (TNSc), The Utah Early Neuropathy Scale (UENS), the Early Neuropathy Score (ENS), and the Neuropathy Disability Score (NDS). RESULTS: All seven clinical scales were determined to be excellent in discriminating between patients with neuropathy from controls without neuropathy. The strongest discrimination was seen with the mTCNS. The best sensitivity and specificity for the range of scores obtained, as determined by using receiver operating characteristic curves, was seen for the mTCNS followed by the TNSc. Most scales show a stronger correlation with measures of large rather than small fiber neuropathy. CONCLUSIONS: All seven scales identify patients with neuropathy. For the purpose of screening potential patients for a clinical study, the mTCNS followed by the TNSc would be most helpful to select patients with neuropathy.

HIV-1 reverse transcriptase variants: molecular modeling of Y181C, V106A, L100I, and K103N mutations with nonnucleoside inhibitors using Monte Carlo simulations in combination with a linear response method.

The energies and physical descriptors for the binding of 21 novel 1-(2,6-difluorobenzyl)-2-(2,6-difluorophenyl)-benzimidazole (BPBI) analogs to HIV-1 reverse transcriptase (RT) variants Y181C, L100I, V106A, and K103N have been determined using Monte Carlo (MC) simulations. The crystallographic structure of the lead compound, 4-methyl BPBI, was used as a starting point to model the inhibitors in both the mutant bound and the unbound states. The energy terms and physical descriptors obtained from the calculations were reasonably correlated with the respective experimental EC50 values for the inhibitors against the various mutant RTs. Using the linear response correlations from the calculations, 2 novel BPBI inhibitors have been designed and simulations have been carried out. The results show the computed deltaG(binding) values match the experimental data for the analogs. Given the ongoing problem with drug resistance, the ability to predict the activity of novel analogs against variants prior to synthesis is highly advantageous.