Virtual Behavioral Medicine Program: A Novel Model of Care for Neuropsychiatric Symptoms in Dementia

BACKGROUND

Patients with severe neuropsychiatric symptoms (NPS) due to dementia are often uprooted from their familiar environments in long-term care or the community and transferred to emergency departments, acute care hospitals, or specialized behavioral units which can exacerbate NPS. To address this issue, we developed the Virtual Behavioral Medicine Program (VBM), an innovative model of virtual care designed to support management of patients with NPS in their own environment.

OBJECTIVE

To determine efficacy of VBM in reducing admission to a specialized inpatient neurobehavioral unit for management of NPS.

METHODS

We reviewed outcomes in the first consecutive 95 patients referred to VBM. Referrals were classified into two groups. In one group, patients were referred to VBM with a simultaneous application to an inpatient Behavioral Neurology Unit (BNU). The other group was referred only to VBM. The primary outcome was reduction in proportion of patients requiring admission to the BNU regardless of whether they were referred to the BNU or to VBM alone.

RESULTS

For patients referred to VBM plus the BNU, the proportion needing admission to the BNU was reduced by 60.42%. For patients referred to VBM alone, it was 68.75%.

CONCLUSION

VBM is a novel virtual neurobehavioral unit for treatment of NPS. Although the sample size was relatively small, especially for the VBM group, the data suggest that this program is a game changer that can reduce preventable emergency department visits and acute care hospital admissions. VBM is a scalable model of virtual care that can be adopted worldwide.

Aggression and Agitation in Dementia

PURPOSE OF REVIEW

This article reviews the treatment of aggression and agitation in dementia. Both nonpharmacologic and pharmacologic approaches to responsive behaviors are discussed. Practical treatment strategies are applied to common behavioral symptoms.

RECENT FINDINGS

Aggressive and agitated behavior is common in dementia. Behavioral symptoms lead to reduced quality of life and distress for both patients and caregivers. They can also lead to poor outcomes and are associated with significant financial implications for the individual and health care system. A wide range of difficult behaviors exists, with limited evidence for deciding on treatment. Clinicians should integrate the available evidence with practical and commonsense strategies to target these difficult-to-treat behaviors.

SUMMARY

Treating aggression and agitation in dementia is challenging. Viewing behaviors as a response to either internal or external stimuli can help guide treatment. Treatment should emphasize nonpharmacologic approaches as an initial step, using practical and commonsense strategies. Caregivers and family should be actively involved in the planning and implementation of behavioral plans. It is essential to minimize both medical and nonmedical factors that may be contributing to behaviors. When pharmacologic options are required, it is important to choose medications that will target specific behavioral goals, having both practical consideration and the best evidence in mind.

Correction to: The Toronto cognitive assessment (TorCA): normative data and validation to detect amnestic mild cognitive impairment

Upon publication of this article [1], it was brought to our attention that one of the 303 participants in the normative study should have been deleted from the database.

The Toronto Cognitive Assessment (TorCA): normative data and validation to detect amnestic mild cognitive impairment

Background

A need exists for easily administered assessment tools to detect mild cognitive changes that are more comprehensive than screening tests but shorter than a neuropsychological battery and that can be administered by physicians, as well as any health care professional or trained assistant in any medical setting. The Toronto Cognitive Assessment (TorCA) was developed to achieve these goals.

Methods

We obtained normative data on the TorCA (n = 303), determined test reliability, developed an iPad version, and validated the TorCA against neuropsychological assessment for detecting amnestic mild cognitive impairment (aMCI) (n = 50/57, aMCI/normal cognition). For the normative study, healthy volunteers were recruited from the Rotman Research Institute registry. For the validation study, the sample was comprised of participants with aMCI or normal cognition based on neuropsychological assessment. Cognitively normal participants were recruited from both healthy volunteers in the normative study sample and the community.

Results

The TorCA provides a stable assessment of multiple cognitive domains. The total score correctly classified 79% of participants (sensitivity 80%; specificity 79%). In an exploratory logistic regression analysis, indices of Immediate Verbal Recall, Delayed Verbal and Visual Recall, Visuospatial Function, and Working Memory/Attention/Executive Control, a subset of the domains assessed by the TorCA, correctly classified 92% of participants (sensitivity 92%; specificity 91%). Paper and iPad version scores were equivalent.

Conclusions

The TorCA can improve resource utilization by identifying patients with aMCI who may not require more resource-intensive neuropsychological assessment. Future studies will focus on cross-validating the TorCA for aMCI, and validation for disorders other than aMCI.