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BackgroundAs of March 2021, in the USA, the COVID-19 pandemic has resulted in over 500,000 deaths, with a majority being people over 65 years of age. Since the start of the pandemic in March 2020, preventive measures, including lockdowns, social isolation, quarantine, and social distancing, have been implemented to reduce viral spread. These measures, while effective for risk prevention, may contribute to increased social isolation and loneliness among older adults and negatively impact their mental and physical health.ObjectiveThis study aimed to assess the impact of the COVID-19 pandemic and the resulting "Stay-at-Home" order on the mental and physical health of older adults and to explore ways to safely increase social connectedness among them.MethodsThis qualitative study involved older adults living in a Continued Care Senior Housing Community (CCSHC) in southern California, USA. Four 90-minute focus groups were convened using the Zoom Video Communications platform during May 2020, involving 21 CCSHC residents. Participants were asked to describe how they were managing during the "stay-at-home" mandate that was implemented in March 2020, including its impact on their physical and mental health. Transcripts of each focus group were analyzed using qualitative methods.ResultsFour themes emerged from the qualitative data: (1) impact of the quarantine on health and well-being, (2) communication innovation and technology use, (3) effective ways of coping with the quarantine, and (4) improving access to technology and training. Participants reported a threat to their mental and physical health directly tied to the quarantine and exacerbated by social isolation and decreased physical activity. Technology was identified as a lifeline for many who are socially isolated from their friends and family.ConclusionsOur study findings suggest that technology access, connectivity, and literacy are potential game-changers to supporting the mental and physical health of older adul

ObjectiveThe growing pandemic of loneliness has great relevance to aging populations, though assessments are limited by self-report approaches. This paper explores the use of artificial intelligence (AI) technology to evaluate interviews on loneliness, notably, employing natural language processing (NLP) to quantify sentiment and features that indicate loneliness in transcribed speech text of older adults.DesignParticipants completed semi-structured qualitative interviews regarding the experience of loneliness and a quantitative self-report scale (University of California Los Angeles or UCLA Loneliness scale) to assess loneliness. Lonely and non-lonely participants (based on qualitative and quantitative assessments) were compared.SettingIndependent living sector of a senior housing community in San Diego County.ParticipantsEighty English-speaking older adults with age range 66-94 (mean 83 years).MeasurementsInterviews were audiotaped and manually transcribed. Transcripts were examined using NLP approaches to quantify sentiment and expressed emotions.ResultsLonely individuals (by qualitative assessments) had longer responses with greater expression of sadness to direct questions about loneliness. Women were more likely to endorse feeling lonely during the qualitative interview. Men used more fearful and joyful words in their responses. Using linguistic features, machine learning models could predict qualitative loneliness with 94% precision (sensitivity = 0.90, specificity = 1.00) and quantitative loneliness with 76% precision (sensitivity = 0.57, specificity = 0.89).ConclusionsAI (e.g., NLP and machine learning approaches) can provide unique insights into how linguistic features of transcribed speech data may reflect loneliness. Eventually linguistic features could be used to assess loneliness of individuals, despite limitations of commercially developed natural language understanding programs.

Artificial intelligence (AI) is increasingly employed in health care fields such as oncology, radiology, and dermatology. However, the use of AI in mental health care and neurobiological research has been modest. Given the high morbidity and mortality in people with psychiatric disorders, coupled with a worsening shortage of mental health care providers, there is an urgent need for AI to help identify high-risk individuals and provide interventions to prevent and treat mental illnesses. While published research on AI in neuropsychiatry is rather limited, there is a growing number of successful examples of AI's use with electronic health records, brain imaging, sensor-based monitoring systems, and social media platforms to predict, classify, or subgroup mental illnesses as well as problems such as suicidality. This article is the product of a study group held at the American College of Neuropsychopharmacology conference in 2019. It provides an overview of AI approaches in mental health care, seeking to help with clinical diagnosis, prognosis, and treatment, as well as clinical and technological challenges, focusing on multiple illustrative publications. Although AI could help redefine mental illnesses more objectively, identify them at a prodromal stage, personalize treatments, and empower patients in their own care, it must address issues of bias, privacy, transparency, and other ethical concerns. These aspirations reflect human wisdom, which is more strongly associated than intelligence with individual and societal well-being. Thus, the future AI or artificial wisdom could provide technology that enables more compassionate and ethically sound care to diverse groups of people.

ObjectiveWe developed a mobile cognitive test of verbal learning and memory, the mobile verbal learning test (mVLT), to allow for brief, repeated and portable delivery of a 12-item list learning test through a smartphone. This study examined the psychometric properties of the mVLT among older persons with and without human immunodeficiency virus (HIV).MethodsSixty-eight persons with HIV and 36 HIV-negative individuals (aged 50-74) completed three trials of the mVLT on a smartphone once daily for 14 days. A different word list was administered each day.ResultsParticipants completed 80% of the 14 mVLT administrations, equating to 1166 valid and complete mVLTs. Neither adherence nor mean mVLT total score (number correct in 3 recall trials) differed by HIV status. No practice effects from repeated mVLT administration were observed, and there were moderately strong correlations of mVLT performance with performance on the in-lab version of the task and with traditional cognitive assessments of cognitive processes contributing to memory. We found evidence of within-person learning across mVLT trials, with persons with HIV demonstrating less learning from trials 1 to 3 compared to HIV-negative participants.ConclusionsThe mVLT is a valid method to assess learning in the real world in older adults with and without HIV.

OBJECTIVES: People with schizophrenia have challenges in their self-assessments of everyday functioning and those who report no sadness also tend to overestimate their everyday functional abilities. While previous studies were cross-sectional, this study related longitudinal assessments of sadness to self-reports of abilities in domains of everyday functioning and cognitive abilities. METHODS: 71 people with bipolar illness (BPI) were compared to 102 people with schizophrenia (SCZ). Participants were sampled 3 times per day for 30 days with a smartphone-based Ecological Momentary Assessment (EMA) survey. Each survey asked where they were, with whom they were, what they were doing, and if they were sad. Performance based assessments of executive functioning, social competence, and everyday activities were collected after the EMA period, at which time the participants and observers were asked to provide ratings of three different domains of everyday functioning and neurocognitive ability. RESULTS: 18% of participants with SCZ reported that they were never sad on any one of the 90 EMA surveys. Reports of never being sad were associated with overestimated functioning compared to observers and SCZ participants who reported that they were never sad were more commonly home and alone than both SCZ participants who reported occasional sadness and participants with BPI. These participants reported being significantly happier than all people in the study. IMPLICATIONS: Reporting that you were never sad was associated with overestimation of everyday functioning and cognitive abilities. Although participants who were never sad did not perform more poorly on objective measures than those were occasionally sad, their self-assessed functioning was significantly elevated. These data suggest that negative symptoms constructs such as reduced emotional experience need to consider reduced ability to subjectively evaluate emotional experience as a feature of negative symptoms.

People with schizophrenia (SCZ) and bipolar disorder (BD) have challenges in self-evaluation of their cognitive and functional performance (introspective accuracy). They also manifest response biases, with tendencies toward overestimation. This study aimed to examine objective test performance, momentary judgments of performance, momentary confidence, and subsequent global judgments of performance on a metacognitive version of the Wisconsin Card Sorting Test (WCST). This sample included 99 participants with SCZ and 67 with BD. After each of the 64 WCST trials, participants reported whether they believed their sort was correct and how confident they were in that judgment, they then received performance feedback. After completion of the entire task, participants generated a global performance judgment. On average, the SCZ group got 31 sorts correct, reporting being correct on 49 whereas the BD group got 37 trials correct but reported being correct on 53. For participants with BD, sorting performance correlated with trial x trial accuracy judgments, confidence, and predicted global judgments. For SCZ participants, performance minimally correlated with trial x trial accuracy judgments, confidence, and global judgments, while trial x trial confidence was strongly associated with trial x trial accuracy judgments (r = 0.58). Our findings suggest that confidence in participants with BD is correlated with task performance, whereas in SCZ confidence was entirely associated with self-generated performance judgments. SCZ participants manifested challenges with utilization of feedback. Global judgments of performance were predicted by task performance and confidence for BD participants, with performance and confidence judgments occurring prior to generation of the global performance judgments.

BACKGROUND: People with psychotic disorders are at an increased risk of suicide, but there is little understanding of suicidal ideation (SI) in this population. The Interpersonal Psychological Theory of Suicide posits that perceived burdensomeness (PB) and thwarted belonginess (TB) contribute to SI. To our knowledge there are no studies using ecological momentary assessment (EMA) to assess these interpersonal risk factors in a sample of individuals with psychotic disorders. This study investigated the validity and variability of PB and TB, and whether SI, EMA-measured psychotic symptoms, mood, and social context relate to PB and TB. METHOD: Ninety-six participants with a psychotic disorder, including mood disorders with psychosis completed in-lab assessments of current SI, and then EMA surveys on a smartphone 3×/day for 10 days, answering questions about burdensomeness, belongingness, symptoms (i.e., hearing voices, experiencing suspiciousness), mood (i.e., happy, sad), and social context. RESULTS: Burdensomeness varied within-participants less than belongingness (t (95) = -3.74, p=< .001). Participants with SI had higher mean burdensomeness ratings (t (94) = -2.70, p < .01) and lower mean belongingness ratings (t (94) = 3.68, p < .001) than did participants without SI. Being with others, greater psychotic experiences, less happiness, and greater sadness related to greater burdensomeness. SI status, being alone, greater psychotic experiences, less happiness, and greater sadness related to less belongingness. CONCLUSIONS: This study examined the real-time influences of SI and psychotic symptoms on burdensomeness and belongingness. Hearing voices, suspiciousness, mood, and SI are related to interpersonal suicide-related risk factors. In this sample, social context had a differential effect on burdensomeness and belongingness.

OBJECTIVES: People with schizophrenia (SCZ) and bipolar illness (BPI) generate self-reports of their functioning that diverge from objective information. It has been suggested that these participants do not base such reports on daily experiences, relying on other information. We used ecological momentary assessment (EMA) to sample socially relevant daily activities in SCZ and BPI and related them to self-reported and observer-rated social functioning and social cognitive ability. METHODS: 71 people with (BPI) were compared to 102 people with SCZ. Participants were sampled 3 times per day for 30 days with a smartphone-based survey. Each survey asked where they were, with whom they were, what they were doing, and if they were sad. Participants and observers were asked to provide ratings on social functioning and social cognitive abilities at the end of the EMA period. RESULTS: There was no association between being home or alone and self-reports of everyday social functioning. In contrast observer ratings were highly correlated with the momentary survey results. Reports of very low levels of sadness were associated with overestimated functioning and participants who were commonly home and alone rated their social functioning as better than participants who were commonly away in the presence of others. IMPLICATIONS: Both SCZ and BPI were marked by a disconnect between momentary experiences and self-reports. The largest effect was overestimation of functioning by participants who reported no sadness. Experience appears important, as participants who were routinely home and alone reported better social functioning than participants who spent more time others.

Individuals with severe mental illnesses (SMIs) may be disproportionately vulnerable to COVID-19 infection and psychological distress. This study investigated the prevalence of engagement in COVID-19 preventative behaviors, predictors of these behaviors, and COVID-19-related psychological distress. One hundred and sixty-three individuals with SMIs (94 with schizophrenia spectrum illnesses and 69 with affective disorders) and 27 psychiatrically healthy comparison participants were recruited from ongoing studies across 3 sites, to complete a phone survey querying implementation of 8 specific COVID-19 preventative behaviors that participants engaged in at least once in the past month as well as standard assessments of depression, anxiety, perceived stress, loneliness, and coping. Data were collected between 3 April 2020 and 4 June 2020. The large majority of our SMI sample, which consisted of outpatients with relatively mild symptom severity, endorsed engaging in multiple preventative behaviors. Relatively few differences were found between groups; however, individuals with SMI were less likely to work remotely than healthy individuals and individuals with schizophrenia spectrum illness were less likely to stay home as a preventative measure, wear face masks, and work remotely than individuals with affective disorders. Differences in staying home remained after controlling for potential confounds. Although individuals with SMI reported more psychological distress related to COVID-19, this distress was largely unrelated to engagement in preventative behaviors. The large majority of individuals with SMI in this outpatient sample, regardless of broad diagnostic category, reported performing multiple behaviors intended to prevent COVID-19 infection at least once a month and reported distress associated with the pandemic. These findings suggest a good level of awareness of COVID-19 among stable outpatients with SMI. The degree to which more acutely ill persons with SMI enga

OBJECTIVES: Disability is common in bipolar disorder (BD) and predicted by persistent sadness. We used ecological momentary assessment (EMA) to examine daily activities in people with BD and schizophrenia. We classified activities as productive, unproductive, or passive recreation, relating them to momentary sadness, location, and social context. METHODS: 71 people with BD and 102 people with schizophrenia were sampled 3 times/day for 30 days with an EMA survey. Each survey asked where they were, with whom, what they were doing, and if they were sad. RESULTS: People with BD were home more than 50% of the time. There were no differences in prevalence of activity types across diagnoses. People with BD were less likely to report only one activity since the prior survey, but the most surveys still reported only one. For both groups, sadness and being home and alone since the last survey was associated with less productive activity and more passive recreation. CONCLUSIONS: Participants with BD and schizophrenia manifested high levels of unproductive and passive activities, predicted by momentary sadness. These activity patterns are consistent with descriptions of avolition and they minimally differentiated people with BD and schizophrenia. Previous reports of negative symptoms in BD may have been identifying these behaviors.

BACKGROUND: Ecological momentary assessment (EMA) offers a highly valid strategy to assess everyday functioning in people with severe mental illness. Adherence is generally good, but several questions regarding the impact of study length, daily density of sampling, and symptom severity on adherence remain. METHODS: EMA adherence in two separate studies was examined. One sampled participants with schizophrenia (n=106) and healthy controls (n=76) 7 times per day for 7 days and the other sampled participants with schizophrenia (n=104) and participants with bipolar illness (n=76) 3 times per day for 30 days. Participants were asked where they were, who they were with, what they were doing and how they were feeling in both studies. The impact of rates of very early adherence on eventual adherence was investigated across the samples, and adherence rates were examined for associations with mood state and most common location when answering surveys. RESULTS: Median levels of adherence were over 80% across the samples, and the 10th percentile for adherence was approximately 45% of surveys answered. Early adherence predicted study-long adherence quite substantially in every sample. Mood states did not correlate with adherence in the patient samples and being home correlated with adherence in only the bipolar sample. IMPLICATIONS: Adherence was quite high and was not correlated with the length of the study or the density of sampling per study day. There was a tendency for bipolar participants who were more commonly away from home to answer fewer surveys but overall adherence for the bipolar patients was quite high. These data suggest that early nonadherence is a potential predictor of eventual nonadherence and study noncompletion.

Objective: The development and deployment of technology-based assessments of clinical symptoms are increasing. This study used ecological momentary assessment (EMA) to examine clinical symptoms and relates these sampling results to structured clinical ratings. Methods: Three times a day for 30 days, participants with bipolar disorder (n=71; BPI) or schizophrenia (n=102; SCZ) completed surveys assessing five psychosis-related and five mood symptoms, in addition to reporting their location and who they were with at the time of survey completion. Participants also completed Positive and Negative Syndrome Scale (PANSS) interviews with trained raters. Mixed-model repeated-measures (MMRM) analyses examined diagnostic effects and the convergence between clinical ratings and EMA sampling. Results: In total, 12,406 EMA samples were collected, with 80-percent adherence to prompts. EMA-reported psychotic symptoms manifested substantial convergence with equivalent endpoint PANSS items. Patients with SCZ had more severe PANSS and EMA psychotic symptoms. There were no changes in symptom severity scores as a function of the number of previous assessments. Conclusions: EMA surveyed clinical symptoms converged substantially with commonly used clinical rating scales in a large sample, with high adherence. This suggested that remote assessment of clinical symptoms is valid and practical and was not associated with alterations in symptoms as a function of reassessment, with additional benefits of in the moment sampling, such as eliminating recall bias and the need for informant reports.

OBJECTIVE: Older persons with human immunodeficiency virus (HIV) (PWH) are particularly susceptible to life-space restrictions. The aims of this study included: 1) using global positioning system (GPS) derived indicators as an assessment of time spent at home among older adults with and without HIV; 2) using ecological momentary assessment (EMA) to examine real-time relationships between life-space, mood (happiness, sadness, anxious), fatigue, and pain; and 3) determining if number of daily social interactions moderated the effect of life-space on mood. METHODS: Eighty-eight older adults (PWH n = 54, HIV-negative n = 34) completed smartphone-based EMA surveys assessing mood, fatigue, pain, and social interactions four times per day for two weeks. Participants smartphones were GPS enabled throughout the study. Mixed-effects regression models analyzed concurrent and lagged associations among life-space and behavioral indicators of health. RESULTS: PWH spent more of their time at home (79% versus 70%, z = -2.08; p = 0.04) and reported lower mean happiness (3.2 versus 3.7; z = 2.63; p = 0.007) compared to HIV-negative participants. Controlling for covariates, more daily social interactions were associated with higher ratings of real-time happiness (b = 0.12; t = 5.61; df = 1087.9; p< 0.001). Similar findings were seen in lagged analyses: prior day social interactions (b = 0.15; t = 7.3; df = 1024.9; p < 0.0001) and HIV status (b = -0.48; t = -2.56; df = 1026.8; p = 0.01) attenuated the effect of prior day time spent at home on happiness. CONCLUSION: Accounting for engagement in social interactions reduced the significant effect of time spent at home and lower happiness. Interventions targeting social isolation within the context of constricted life-space may be beneficial for increasing positive mood in older adults, and especially relevant to older PWH.

BackgroundWrist-worn actigraphy can objectively measure sleep, and has advantages over self-report, particularly for people with Bipolar Disorder (BD) for whom self-reports might be influenced by affect. Clinically useful data reduction approaches are needed to explore these complex data.MethodsWe created a composite score of sleep metrics in BD based on 51 BD and 80 healthy comparison (HC) participants. Subjects wore an actigraph for up to 14 consecutive 24-h periods, and we assessed total sleep time (TST), wake after sleep onset (WASO), percent sleep (PS), and number of awakenings (NA). We focused on participants who had at least 5 nights of actigraphy data. We computed z-scores for within-person means of sleep measures for BD subjects versus HCs, which were averaged to create a composite measure. We correlated this composite with participant characteristics, and used LASSO regression to identify sleep measures best explaining variability in identified correlates.ResultsSleep measures and the composite did not differ between BDs and HCs; however, there was considerable variability in z-scores among those with BD. In BDs, the composite score was higher in women (t(49) = 2.28, p = 0.027) and those who were employed (t(34) = 2.34, p = 0.025), and positively correlated with medication load (r = 0.41, p = 0.003) while negatively correlated with Young Mania Rating Scale (YMRS; r = -0.35, p = 0.030). In LASSO regression, TST and NA best explained medication load while PS best explained employment and YMRS.ConclusionWhile a composite score of sleep metrics may provide useful information about sleep quality globally, our findings suggest that selection of theory-driven sleep measures may be more clinically meaningful.

BACKGROUND: Post-9/11 veterans who enroll in VA health care frequently present with suicidal ideation and/or recent suicidal behavior. Most of these veterans are not screened on their day of enrollment and their risk goes undetected. Screening for suicide risk, and associated mental health factors, can lead to early detection and referral to effective treatment, thereby decreasing suicide risk. eScreening is an innovative Gold Standard Practice with evidence to support its effectiveness and implementation potential in transition and care management (TCM) programs. We will evaluate the impact of eScreening to improve the rate and speed of suicide risk screening and referral to mental health care compared to current screening methods used by transition care managers. We will also evaluate the impact of an innovative, multicomponent implementation strategy (MCIS) on the reach, adoption, implementation, and sustained use of eScreening. METHODS: This is an eight-site 4-year, stepped-wedge, mixed-method, hybrid type-II implementation trial comparing eScreening to screening as usual while also evaluating the potential impact of the MCIS focusing on external facilitation and Lean/SixSigma rapid process improvement workshops in TCM. The aims will address: 1) whether using eScreening compared to oral and/or paper-based methods in TCM programs is associated with improved rates and speed of PTSD, depression, alcohol, and suicide screening & evaluation, and increased referral to mental health treatment; 2) whether and to what degree our MCIS is feasible, acceptable, and has the potential to impact adoption, implementation, and maintenance of eScreening; and 3) how contextual factors influence the implementation of eScreening between high- and low-eScreening adopting sites. We will use a mixed methods approach guided by the RE-AIM outcomes of the Practical Robust Implementation and Sustainability Model (PRISM). Data to address Aim 1 will be collected via medical record query