Association of the Area Deprivation Index With Dementia Basic Workup and Diagnosis in Central and Western Virginia: A Cross-Sectional Study.

Background and Objectives: The Area Deprivation Index (ADI) provides a validated and multidimensional metric of areal disadvantage. Our goals were to determine if the ADI influences the likelihood of receiving workup based on published guidelines and an etiologic diagnosis of dementia in Central and Western Virginia. Methods: We collected deidentified data from the electronic health record of individuals aged 50-105 years diagnosed with dementia at the University of Virginia (UVA) Medical Center (2016-2021) and at Carillion Clinic (2018-2021). Visit-specific ICD-10 codes were used to classify each dementia diagnosis as "disease-specific" (e.g., Alzheimer disease) or "general" (e.g., unspecified dementia). Following the American Academy of Neurology guidelines, we considered the evaluation performed as "adequate" if patients had vitamin B12, thyroid-stimulating hormone, and brain CT or magnetic resonance imaging within 6 months of the initial diagnosis. Census tract ADI was linked to study participants using the unique census tract identifier derived from the participants' home addresses at the time of diagnosis. Statistical modeling occurred under a Bayesian paradigm implemented using a standard code in R. Results: The study included 13,431 individuals diagnosed with dementia at UVA (n = 7,152) and Carillion Clinic (n = 6,279). Of those, 32.5% and 20.4% received "disease-specific" diagnoses at UVA and Carillion Clinic and 8.2% and 20.4% underwent "adequate" workup, respectively. The adjusted relationship between census tract ADI and the likelihood of a disease-specific diagnosis was U-shaped: Residence in moderately disadvantaged areas was associated with the lowest likelihood of disease-specific diagnosis. Discussion: Most patients diagnosed with dementia did not receive an adequate evaluation or an etiologic diagnosis. Those living in locations just above the national median ADI levels had the lowest likelihood of receiving an etiologic diagnosis, lower than those in the least and most deprived areas. Renewed awareness efforts among providers are needed to increase compliance with diagnostic guidelines.

What Should Be the Scope of Long-Term Care Organizations' Obligations to Offer Culturally and Linguistically Appropriate Services to Patients?

Limited access to health services, decreased quality of care, and worse health outcomes are well documented barriers people with limited English proficiency (LEP) face in US health care. Laws enacted since the 1964 Civil Rights Act recognize such barriers and have helped generate demand for culturally respectful health service provision, assessment of cross-cultural relations, and adaptation of services that fail to meet persons' needs and improve quality of life. Yet, as this commentary on a case considers, even with legal protections for language services for patients with LEP, long-term care facilities face limited resources and thus have limited capacity to offer such services.

Impact of Coronavirus Disease 2019 on Geriatric Psychiatry.

On March 11, 2020, the World Health Organization declared the coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2, a global pandemic. This pandemic disrupted health care for patients and providers. Uncertainty about COVID-19 played a significant role in the negative mental health impact in older adults. The effect of increasing age on morbidity and mortality in those who came down with COVID-19 has been substantial. The pandemic took a tremendous toll on the mental and physical health of older adults in general with even more severe consequences in more disadvantaged populations within the group.

Dementia Caregiver Experiences and Recommendations for Using the Behavioral and Environmental Sensing and Intervention System at Home: Usability and Acceptability Study.

BACKGROUND: Caregiver burden associated with dementia-related agitation is one of the most common reasons for a community-dwelling person living with dementia to transition to a care facility. The Behavioral and Environmental Sensing and Intervention (BESI) for the Dementia Caregiver Empowerment system uses sensing technology, smartwatches, tablets, and data analytics to detect and predict agitation in persons living with dementia and to provide just-in-time notifications and dyad-specific intervention recommendations to caregivers. The BESI system has shown that there is a valid relationship between dementia-related agitation and environmental factors and that caregivers prefer a home-based monitoring system. OBJECTIVE: The aim of this study is to obtain input from caregivers of persons living with dementia on the value, usability, and acceptability of the BESI system in the home setting and obtain their insights and recommendations for the next stage of system development. METHODS: A descriptive qualitative design with thematic analysis was used to analyze 10 semistructured interviews with caregivers. The interviews comprised 16 questions, with an 80% (128/160) response rate. RESULTS: Postdeployment caregiver feedback about the BESI system and the overall experience were generally positive. Caregivers acknowledged the acceptability of the system by noting the ease of use and saw the system as a fit for them. Functionality issues such as timeliness in agitation notification and simplicity in the selection of agitation descriptors on the tablet interface were identified, and caregivers indicated a desire for more word options to describe agitation behaviors. Agitation intervention suggestions were well received by the caregivers, and the resulting decrease in the number and severity of agitation events helped confirm that the BESI system has good value and acceptability. Thematic analysis suggested several subjective experiences and yielded the themes of usefulness and helpfulness. CONCLUSIONS: This study determined preferences for assessing caregiver strain and burden, explored caregiver acceptance of the technology system (in-home sensors, actigraph or smart watch technology, and tablet devices), discerned caregiver insights on the burden and stress of caring for persons living with dementia experiencing agitation in dementia, and solicited caregiver input and recommendations for system changes. The themes of usefulness and helpfulness support the use of caregiver knowledge and experience to inform further development of the technology.

Electroconvulsive Therapy in a Renal Transplantation Patient: A Rare Combination of Disease and Treatment.

The safety and efficacy of electroconvulsive therapy (ECT) for the treatment of psychiatric disorders have been demonstrated in a wide variety of patients, including postoperative patients and those who are pregnant. While several reports highlight the safety of this treatment in heart and liver transplantation patients, there is a relative lack of literature detailing the safety profile of ECT in an individual with recent kidney transplantation. Here, we explore the case of a patient with a recent renal transplant secondary to diabetes-related end-stage renal disease (ESRD) who underwent a successful course of ECT treatment. A 57-year-old Caucasian male with a past psychiatric history of schizoaffective disorder, bipolar type, and a past medical history of end-stage renal disease with recent right renal transplantation was admitted to the inpatient psychiatry unit. The admission was via a temporary detention order (TDO) for suicidality and auditory hallucinations promoting self-harm. The patient's depressive and delusional history was well-documented and had been refractory to several courses of psychotherapeutic and pharmacologic management. Electroconvulsive therapy was subsequently initiated and was well-tolerated. Treatments progressively alleviated his depressive and psychotic symptoms and did not adversely affect the function of his transplanted kidney, which was closely monitored throughout the treatment process. This case demonstrated the safety and efficacy of ECT treatment in an individual with recent renal transplant and may prompt further trials into establishing safety and efficacy in larger study populations.

BESI: Behavioral and Environmental Sensing and Intervention for Dementia Caregiver Empowerment-Phases 1 and 2.

BACKGROUND AND OBJECTIVES: Caregiver burden associated with dementia-related agitation is one of the commonest reasons a community-dwelling person with dementia (PWD) transitions to a care facility. Behavioral and Environmental Sensing and Intervention for Dementia Caregiver Empowerment (BESI) is a system of body-worn and in-home sensors developed to provide continuous, noninvasive agitation assessment and environmental context monitoring to detect early signs of agitation and its environmental triggers. RESEARCH DESIGN AND METHODS: This mixed methods, remote ethnographic study is explored in a 3-phase, multiyear plan. In Phase 1, we developed and refined the BESI system and completed usability studies. Validation of the system and the development of dyad-specific models of the relationship between agitation and the environment occurred in Phase 2. RESULTS: Phases 1 and 2 results facilitated targeted changes in BESI, thus improving its overall usability for the final phase of the study, when real-time notifications and interventions will be implemented. CONCLUSION: Our results show a valid relationship between the presence of dementia related agitation and environmental factors and that persons with dementia and their caregivers prefer a home-based monitoring system like BESI.

Lateralized memory circuit dropout in Alzheimer's disease patients.

Altered connectivity within neuronal networks is often observed in Alzheimer's disease. However, delineating pro-cognitive compensatory changes from pathological network decline relies on characterizing network and task effects together. In this study, we interrogated the dynamics of occipito-temporo-frontal brain networks responsible for implicit and explicit memory processes using high-density EEG and dynamic causal modelling. We examined source-localized network activity from patients with Alzheimer's disease (n = 21) and healthy controls (n = 21), while they performed both visual recognition (explicit memory) and implicit priming tasks. Parametric empirical Bayes analyses identified significant reductions in temporo-frontal connectivity and in subcortical visual input in patients, specifically in the left hemisphere during the recognition task. There was also slowing in frontal left hemisphere signal transmission during the implicit priming task, with significantly more distinct dropout in connectivity during the recognition task, suggesting that these network drop-out effects are affected by task difficulty. Furthermore, during the implicit memory task, increased right frontal activity was correlated with improved task performance in patients only, suggesting that right-hemisphere compensatory mechanisms may be employed to mitigate left-lateralized network dropout in Alzheimer's disease. Taken together, these findings suggest that Alzheimer's disease is associated with lateralized memory circuit dropout and potential compensation from the right hemisphere, at least for simpler memory tasks.

Multiple-Instance Learning for Sparse Behavior Modeling from Wearables: Toward Dementia-Related Agitation Prediction.

Agitation in persons with dementia (PWD) poses major health risks both for themselves and for their caregivers. Passive sensing based continuous behavior tracking can prevent the escalation of such episodes. But, predicting such behavior from sensor streams, especially in real-world residential settings, is still an active area of research. Major challenges include the sparsity, unpredictability, and variations in such behavior, as well as the "weak" annotations from real-world participants. This paper proposes a novel approach to overcome these issues in predicting agitation episodes from the PWD's wrist motion data. In a transdisciplinary study on dementia dyads residing in their homes, the PWD motion is continuously sensed from their smart watch inertial sensors, while agitation episodes are actively marked by the caregivers. The data from 10 residential deployments, each with 30 days duration, are analyzed in this paper, and multiple-instance learning (MIL) based models are implemented to learn from such sparse and weakly annotated data. These models are compared with single-instance models in predicting the agitated behavior. The results show the potential of MIL models in sparsely labeled behavior inference from wearables in-the-wild.

Validation of noninvasive body sensor network technology in the detection of agitation in dementia.

OBJECTIVE: Agitated behaviors are one of the most frequent reasons that patients with dementia are placed in long-term care settings. This study aims to validate the ability of a custom Body Sensor Network (BSN) to capture the presence of agitation against currently accepted subjective measures, the Cohen-Mansfield Agitation Inventory (CMAI) and the Aggressive Behavior Scale (ABS) and to discriminate between agitation and cognitive decline. METHODS: Six patients identified as being at high risk for agitated behaviors were enrolled in this study. The devices were applied at three sites for three hours while behaviors were annotated simultaneously and subsequently repeated twice for each enrolled subject. RESULTS: We found that the BSN was a valid measure of agitation based on construct validity testing and secondary validation using non-parametric ANOVAs. DISCUSSION: The BSN shows promise from these pilot results. Further testing with a larger sample is needed to replicate these results.

Symptomatic remission in a multiracial urban population of older adults with schizophrenia.

OBJECTIVE: Symptomatic remission has been reported in younger patients with schizophrenia. This study aims to determine the prevalence of symptomatic remission in older adults with schizophrenia. METHODS: The Schizophrenia Group consisted of 198 persons aged 55+ years living in the community who developed schizophrenia before age 45 years. Our definition of remission was adapted from the criteria of the Remission in Schizophrenia Working Group. To attain remission, persons had to have scores of <3 on eight domains of the Positive and Negative Symptom Scale and no hospitalizations within the previous year. Using George's Social Antecedent Model, we examined the association of remission with 18 predictor variables. RESULTS: Forty-nine percent of the sample met the criteria for symptomatic remission. In logistic regression analysis, four variables--fewer total network contacts, greater proportion of intimates, fewer lifetime traumatic events, and higher Dementia Rating Scale scores--were significantly associated with remission. CONCLUSIONS: Remission rates were consistent with those reported in younger samples. Our findings suggest that symptomatic remission is an attainable goal and that treatments focused on those variables associated with remission may augment outcomes in older persons with schizophrenia.

Adequacy of medical treatment among older persons with schizophrenia.

OBJECTIVE: This study used Krause's model of illness behavior in later life to examine factors associated with adequacy of medical treatment in a racially diverse sample of older patients (age 55 and over) with schizophrenia. METHODS: In a cross-sectional community study, 119 persons were identified from a sample of 198 persons with schizophrenia age 55 or older who developed the disorder before age 45; for comparison, 57 persons were identified from a group of 113 without the disorder. The groups were compared for treatment of one or more of four common medical disorders. Thirteen independent variables were inserted into Krause's model for the comparisons. A dependent variable was created to indicate whether persons received medication treatment for all of their medical disorders (high-treatment group). RESULTS: Significant differences were found between the schizophrenia and control groups in the proportion receiving treatment for the four physical conditions (.61 versus .83, respectively, p=.004). By logistic regression, four of 13 variables for the schizophrenia group were significantly associated (p<.01) with being in the high-treatment group: absence of depression, lower frequency of medical visits, fewer positive symptoms, and more negative symptoms. CONCLUSIONS: Although older patients with schizophrenia and their age peers had similar levels of physical disorders and rates of health visits, the former received less adequate treatment. More aggressive management of comorbid depression and positive symptoms of schizophrenia may help in improving the health of this population.

Focus on geriatric psychiatry: schizophrenia in later life: clinical symptoms and social well-being.

The number of persons aged 55 and older with a diagnosis of schizophrenia is projected to double over the next 20 years. A tripartite classification system of early-onset schizophrenia, late-onset schizophrenia, and very-late-onset schizophrenia-like psychosis has been proposed. This column reviews recent findings on the outcome and associated features of clinical symptom and social well-being categories for older adults with early-onset schizophrenia.

Depression in older adults with schizophrenia spectrum disorders: prevalence and associated factors.

RATIONALE: Although depression is common in older adults with schizophrenia, it has not been well studied. The authors examine those factors that are related to depression in a multiracial urban sample of older persons with schizophrenia. METHODS: The schizophrenia group consisted of 198 persons aged 55 or older who lived in the community and developed schizophrenia before age 45. Persons with substantial cognitive impairment were excluded from the study. A community comparison group (N = 113) was recruited using randomly selected census tract data. The authors adapted George's Social Antecedent Model of Depression, which consists of six categories comprising 16 independent variables, and used a dichotomous dependent variable based on a Center for Epidemiologic Studies Depression Scale cutoff score of > or = 16. RESULTS: The schizophrenia group had significantly more persons with clinical depression than the community comparison group (32% versus 11%, respectively; chi(2) = 28.23, df = 1, p = 0.001). Bivariate analysis revealed that eight of the 16 variables were significantly related to clinical depression in the schizophrenia group. In logistic regression, six variables retained significance: physical illness (odds ratio [OR] = 1.60, 95% confidence interval [CI], 1.17-2.18), quality of life (OR = 0.84, 95% CI, 0.76-0.93), presence of positive symptoms (OR = 1.12, 95% CI, 1.02-1.21), proportion of confidants (OR = 0.03, 95% CI, 0.01-0.39), copes by using medications (OR = 2.12, 95% CI, 1.08-4.13), and copes with conflicts by keeping calm (OR = 1.34, 95% CI, 1.03-1.74). CONCLUSION: Consistent with earlier studies of schizophrenia in older persons, the authors found physical health, positive symptoms, and several nonclinical variables to be associated with depression. Potential points for intervention include strengthening social supports, improving physical well-being, more aggressive treatment of positive symptoms, and increasing the recognition and treatment of depression.

Factors affecting quality of life in a multiracial sample of older persons with schizophrenia.

OBJECTIVE: There have been few studies of quality of life (QOL) among older persons with schizophrenia. The authors used an adaptation of Lehman's QOL model to examine factors that impact QOL in a multiracial urban sample of older persons with schizophrenia. METHODS: The schizophrenia group consisted of 198 community-dwelling persons aged 55 years and older who developed schizophrenia before age 45 years. A community comparison group (N = 113) was recruited using randomly selected block-groups. The QOL model consisted of four variable sets (demographic, objective, clinical, and subjective) comprising 19 independent variables. The dependent variable was the Quality of Life Index (QLI). RESULTS: The schizophrenia group had a significantly lower QLI score than the comparison group (21.7 versus 24.2; t = -5.36, df = 362, p = 0.001). Within the schizophrenia group, in bivariate analyses, 11 of 19 variables were significantly related to QLI. In regression analysis, six variables were significantly associated with the QLI: fewer depressive symptoms, more cognitive deficits, fewer acute life stressors, fewer medication side effects, lower financial strain, and better self-rated health. The model explained 55% of the variance in QLI, with the demographic, objective, psychiatric illness, and subjective variable sets accounting for 6%, 35%, 9%, and 5% of the variance, respectively. With the exception of the demographic set, each of the variable sets added significant variance. CONCLUSION: Our data confirmed earlier reports that older persons with schizophrenia have lower self-reported quality of life than their age-matched peers. Our findings suggest that the factors impacting on QOL are potentially ameliorable and therefore provide an opportunity to enhance the well-being of this population.