Abstract As mobile data capture tools for patient-reported outcomes proliferate in clinical research, a key dimension of measure performance is sensitivity to change. This study compared performance ...of patient-reported measures of mindfulness, depression, and anxiety symptoms using traditional paper-and-pencil forms versus real-time, ambulatory measurement of symptoms via ecological momentary assessment (EMA). Sixty-seven emotionally distressed older adults completed paper-and-pencil measures of mindfulness, depression, and anxiety along with two weeks of identical items reported during ambulatory monitoring via EMA before and after participation in a randomized trial of Mindfulness-Based Stress Reduction (MBSR) or a health education intervention. We calculated effect sizes for these measures across both measurement approaches and estimated the Number-Needed-to-Treat (NNT) in both measurement conditions. Study outcomes greatly differed depending on which measurement method was used. When EMA was used to measure clinical symptoms, older adults who participated in the MBSR intervention had significantly higher mindfulness and significantly lower depression and anxiety than participants in the health education intervention at post-treatment. However, these significant changes in symptoms were not found when outcomes were measured with paper-and-pencil measures. The NNT for mindfulness and depression measures administered through EMA were approximately 25–50% lower than NNTs derived from paper-and-pencil administration. Sensitivity to change in anxiety was similar across administration modes. In conclusion, EMA measures of depression and mindfulness substantially outperformed paper-and-pencil measures with the same items. The additional resources associated with EMA in clinical trials would seem to be offset by its greater sensitivity to detect change in key outcome variables.
Frequent, brief and repeated self‐administered mobile assessments of cognitive function, conducted in everyday life settings, are a promising complementary tool to traditional assessment approaches. ...Mobile cognitive assessments promote patient‐centered care and might enhance capacity to inform individual‐level outcomes over time (i.e. detecting subtle declines in cognitive function), as well as in assessing cognition and its correlates in the naturalistic environment. The goal of this systematic review was to assess the feasibility and psychometric properties of mobile cognitive assessments. Through a comprehensive search, we identified 12 articles using self‐administered, mobile phone‐based cognitive assessments. Studies sampled participants between 1 and 6 times per day for 1–14 days. Samples ranged in age from 14 to 83 years old and were generally healthy populations without cognitive impairment. Working memory was the most frequently‐assessed cognitive domain (n = 7), followed by attention/reaction time (n = 4). Seven studies reported adherence, with mean adherence rates of 79.2%. In addition to positive evidence of feasibility, there was general support for high levels of between‐ and within‐person reliability and construct validity. While research has only begun to explore the utility of mobile cognitive assessments, studies to‐date indicate they may be a promising complementary tool to traditional assessment methods with potential to improve clinical care and research.
•Individuals with severe mental illnesses (SMI) may be at greater risk for negative mental health outcomes related to COVID-19.•This study compared pre-pandemic ratings of symptoms to ratings made ...2-4 months into the pandemic.•Results showed no worsening of mood or psychotic experiences during the pandemic.•Reports of well-being were higher during-pandemic as compared to pre-pandemic.•Individuals with SMI are showing resilience in the early stages of the COVID-19 pandemic.
Individuals with severe mental illnesses (SMI), including schizophrenia spectrum illnesses and affective disorders, may be at increased risk for negative mental health outcomes related to the COVID-19 pandemic. This study compared the severity of pre-pandemic symptoms and affective experiences to current symptoms to evaluate this possibility.
148 individuals with SMI (92 with schizophrenia spectrum illnesses and 56 with affective disorders) were recruited from ongoing ecological momentary assessment studies that sampled day-to-day experiences and symptom severity prior to the pandemic. Participants completed a one-time phone survey that queried these same experiences/symptoms between April and June of 2020.
Severity of affective experiences and psychotic symptoms remained stable across time, as did sleep duration. Well-being and the number of substances used increased during the early months of the pandemic. Increases in well-being were associated with being female and spending less time alone pre-pandemic. Patterns of stability/change did not differ according to diagnostic category.
At this relatively early stage, individuals with SMI are not reporting a worsening of symptoms or affective experiences and instead appear to be resilient in the face of the pandemic. Continued assessment is needed to determine whether this resilience will persist as the pandemic progresses.
Deep Learning and Geriatric Mental Health Aizenstein, Howard; Moore, Raeanne C.; Vahia, Ipsit ...
American journal of geriatric psychiatry/The American journal of geriatric psychiatry,
March 2024, 2024-Mar, Letnik:
32, Številka:
3
Journal Article
Recenzirano
Odprti dostop
•What is the primary question addressed by this study?What is the relevance of deep learning to geriatric psychiatry?•What is the main finding of this study?Deep learning provides new insights into ...geriatric psychiatry along with ethical concerns.•What is the meaning of the finding?Deep learning has broad relevance to geriatric psychiatry.
The goal of this overview is to help clinicians develop basic proficiency with the terminology of deep learning and understand its fundamentals and early applications. We describe what machine learning and deep learning represent and explain the underlying data science principles. We also review current promising applications and identify ethical issues that bear consideration. Deep Learning is a new type of machine learning that is remarkably good at finding patterns in data, and in some cases generating realistic new data. We provide insights into how deep learning works and discuss its relevance to geriatric psychiatry.
Schizophrenia is a major cause of disability worldwide. As new treatments for functioning are tested, the need grows to demonstrate real-world functioning gains. Ecological momentary assessment (EMA) ...may provide a more ecologically valid measure of functioning. In this study, smartphone-based EMA was used to signal participants with schizophrenia (N = 100) and controls (N = 71) 7 times a day for 7 days to respond to brief questionnaires about social interactions and functioning behaviors. Excellent adherence was found, with both groups completing an average of 85% of surveys and only 3% of participants with schizophrenia excluded for poor adherence. Four-week test-retest reliability was high (r = .83 for total productive behaviors). Relative to controls, participants with schizophrenia reported significantly less total productive activity (d = 1.2), fewer social interactions (d = 0.3), more nonproductive behaviors (d = 1.0; watching TV, resting), and more time at home (d = 0.8). Within the schizophrenia group, participants living independently showed better functioning on EMA relative to participants in supported housing (d = 0.8) and participants engaged in vocational activities showed better functioning than individuals not engaged in vocational activities (d = 0.55). Modest correlations were found between EMA and an in-lab self-report measure of functioning activities performed in the community, but not between EMA and measures of functional capacity or potential. This study demonstrated the feasibility, sensitivity reliability, and validity of EMA methods to assess functioning in schizophrenia. EMA provides a much-needed measure of what individuals with schizophrenia are actually doing in real-world contexts. These results also suggest that there may be important disjunctions between indices of abilities and actual real-world functioning.
Requiring only 10-15 minutes to complete, the UCSD Performance-Based Skills Assessment (UPSA-B) has high clinical utility as a brief measure of functional capacity. This study aimed to validate the ...UPSA-B in adults living with HIV/AIDS (HIV+), and identify whether the UPSA-B can be used as an indicator of functional dependence in this population.
One hundred and three HIV+ adults and 91 HIV- adults completed a comprehensive neuropsychological and neuromedical battery, including a self-report measure of functional status (IADL Dependence vs. IADL Independence), an objective measure of functional capacity (UPSA-B), and a self-report measure of mood states including a subscale related to cognitive difficulties (Profile of Mood States POMS-Confusion/Bewilderment subscale).
HIV+ participants had significantly lower UPSA-B scores than their HIV- counterparts (p = 0.02), although this fell to a trend (p = 0.08) when including covariates. Among the HIV+ group, higher UPSA-B scores were related to better neuropsychological ability, but unrelated to self-reported functional independence. Conversely, UPSA-B scores were unrelated to participant-reported cognitive difficulties on the POMS Confusion/Bewilderment subscale. An ROC curve was generated to determine the optimal UPSA-B value for discriminating between normal neuropsychological functioning versus neuropsychological impairment, with results indicating an optimal cutoff of 79. The UPSA-B identified HIV+ persons with cognitive impairment with 70.9% accuracy.
The UPSA-B was able to differentiate neuropsychological impairment from no impairment among HIV+ participants and holds promise as a clinical screening tool in this population. However, indicators of functional disability among adults living with HIV is still not well understood and is likely multifactorial in nature. These data highlight the complex interplay between objective functional capacity, neurocognitive ability, subjective cognitive symptoms, and functional dependence.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Previous research employing global positioning satellite (GPS) data and ecological momentary assessment (EMA) has shown a smaller life-space (distance traveled from home) was associated with poorer ...community functioning and more severe negative symptoms in people with schizophrenia. Momentary emotional experiences may influence how much time is spent outside of the home. We evaluated the associations between emotional experiences in relation to life-space among people with schizophrenia compared to healthy controls (HCs).
105 participants with schizophrenia and 76 HCs completed in-lab assessments of symptoms, cognition, and functioning. Participants completed EMA assessments of location and emotions seven times daily for seven days at stratified random intervals. GPS coordinates were collected 24 h a day over the 7-day study period. Analyses were performed at the momentary, day, and full week level using mixed effects models and Spearman correlations.
For HCs, greater happiness was associated with greater concurrent distance traveled away from home as measured by GPS. For participants with schizophrenia, greater anxiety was associated with greater distance traveled away from home and being outside of the home. Less happiness, but not anxiety, was also associated with greater negative symptoms, especially outside the home.
These findings suggest diminished positive emotion is associated with the experience of leaving the home in schizophrenia, but also suggest that anxiety may contribute to avoidance of out of home mobility. Interventions targeting both positive emotions and social anxiety may improve social functioning, and life-space may provide a useful outcome for functional rehabilitation interventions in schizophrenia.
OBJECTIVE:We determined whether there are sex differences in the prevalence and profile of HIV-associated neurocognitive impairment, and whether sex moderates the effect of HIV-serostatus on ...neurocognitive impairment among HIV-positive and HIV-negative individuals. Secondarily, we assessed whether differences were explained by greater biopsychosocial risk factors in HIV-positive women.
DESIGN:An observational cohort study.
METHODS:Analyses included 1361 HIV-positive (204 women) and 702 HIV-negative (214 women) (ages = 18–79 years) participants from the UCSD HIV Neurobehavioral Research Program. Demographically corrected standardized T-scores from 15 neuropsychological tests were used to calculate domain-specific and global deficit scores (GDS). GDS at least 0.5 defined neurocognitive impairment. Biopsychosocial risk factors included low education, low reading level (education quality), lifetime substance use disorders, depressed mood (clinically significant depressive symptoms and/or current major depressive disorder) and a cumulative syndemic count (sum of biopsychosocial risk factors, range = 0–4). Race-stratified analyses were conducted. Analyses were adjusted for relevant demographic and clinical factors.
RESULTS:HIV-associated neurocognitive impairment was more prevalent in women versus men; however, the difference was eliminated after adjustment for reading level. In sex-stratified logistic regressions, the association between HIV-seropositivity and higher likelihood of neurocognitive impairment was stronger in women versus men; however, the association was attenuated in women, but not men, after adjusting for reading level. These results in the overall sample were specific to blacks. Sex differences in the profile of HIV-associated neurocognitive impairment varied by race.
CONCLUSION:Women, particularly black women, were most at-risk for HIV-associated neurocognitive impairment. Higher rates of HIV-associated neurocognitive impairment in women versus men may reflect differences in educational quality.
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