Divergence of subjective and performance-based cognitive gains following cognitive training in schizophrenia

Feasibility and Acceptability of Providing Cognitive Remediation in a Large USA System of Coordinated Specialty Care for Early Psychosis

INTRODUCTION

Multinational treatment guidelines support providing cognitive remediation to people recently diagnosed with schizophrenia, but the feasibility of implementing the treatment on a large scale is less well understood.

METHODS

This study took place between 2019 and 2023 at 14 clinics within a large network of programs providing early intervention services to people aged 16-30 experiencing nonaffective psychosis. Clinics were randomly assigned to deliver cognitive remediation as twice-weekly clinician-led groups (N = 5), cognitive remediation as once-weekly clinician-led groups with homework (N = 6), or treatment as usual (N = 3). All clinics screened for cognitive health need to guide treatment planning. Clinical teams (N = 11) received training to provide cognitive remediation. Program evaluation data were analysed for feasibility and acceptability.

RESULTS

Screening for cognitive health needs was completed on 77% of the 1193 participants enrolled at the 11 clinics offering cognitive remediation. Clinicians identified cognitive difficulties in 53.9% (n = 496) of screened participants and referred 27% (n = 134) of these participants to cognitive remediation. Of referred participants, 77.6% (n = 104) initiated treatment, and n = 41 completed the treatment. The rate of referral was nearly double, and treatment initiation was significantly higher at programs delivering once-weekly (84.3%) than twice-weekly (64.4%) treatment but the difference in the rate of treatment completion was statistically nonsignificant. Satisfaction among treatment completers was high.

CONCLUSIONS

Referrals to cognitive remediation required systemic support of a feasible cognitive health screening process. About a quarter of people with clinician-identified cognitive health needs were referred to cognitive remediation. Feasibility data suggest a flexible model of treatment delivery may facilitate implementation in this service setting.

Implementation of Cognitive Health Services in Large Systems of Care: Highlights From Coordinated Specialty Care for First Episode Psychosis

BACKGROUND AND HYPOTHESIS

With increasing recognition of the importance of cognitive health for recovery in people with psychosis, questions arise as to how to implement cognitive health services in large systems of care. This paper describes the implementation of cognitive health services in OnTrackNY (OTNY), a network of clinics delivering a Coordinated Specialty Care treatment model for early psychosis, with the goal of documenting the processes, challenges, and useful adaptations.

STUDY DESIGN

In 2018, OTNY piloted a Cognitive Health Toolkit for implementation across 18 affiliated clinics. The toolkit intended to identify the cognitive health needs of individuals early in the course of psychosis and to integrate cognitive health into the vocabulary of wellness and recovery. Implementation involved creating mechanisms for staff training and support to, in turn, help participants improve how they use cognitive skills in daily life.

STUDY RESULTS

The toolkit was disseminated to all 28 OTNY programs throughout New York state by 2023. When simple assessment and decision-making tools were embedded in routine care practices, the majority of participants identified that improving memory, attention, and critical thinking skills would be helpful. Consistently, about 70% of those asked wanted to learn more about how to better their cognitive health.

CONCLUSIONS

Cognitive health services can be implemented in large systems of care that provide a multi-level system of implementation supports. Organizational facilitators of implementation include a training program to educate about cognitive health and the delivery of cognitive health interventions, and embedded quality assurance monitoring and improvement activities.

Assessment of memory deficits in psychiatric disorders: A systematic literature review

Memory deficits are observed across psychiatric disorders ranging from the prodrome of psychosis to common mental disorders such as anxiety, depression, and dissociative disorders. Memory deficits among patients recovering from psychiatric disorders could be directly related to the primary illness or secondary to the adverse effect of a treatment such as Electroconvulsive Therapy (ECT). The trouble in the meaningful integration of working-memory and episodic memory is the most commonly affected domain that requires routine assessments. An update on the recent trends of methods of assessment of memory deficits is the first step towards understanding and correcting these deficits to target optimum recovery. A systematic literature search was conducted from October 2018 to October 2022 to review the recent methods of assessment of memory deficits in psychiatric disorders. The definition of 'Memory deficit' was operationalized as 'selective processes of memory, commonly required for activities of daily living, and affected among psychiatric disorders resulting in subjective distress and dysfunction'. We included 110 studies, most of them being conducted in western countries on patients with schizophrenia. Other disorders included dementia and mild cognitive impairment. Brief Assessment of Cognition in Schizophrenia, Cambridge Automated Neuropsychological Test Battery, California Verbal Learning Test, Trail Making Test Part A and B, Rey Auditory Verbal Learning Test, Wechsler Memory Scale, Wechsler Adults Intelligence Scale-IV were the most common neuropsychological assessments used. Mini-Mental State Examination and Montreal Cognitive Assessment were the most common bedside assessment tools used while Squire Subjective Memory Questionnaire was commonly used to measure ECT-related memory deficits. The review highlights the recent developments in the field of assessment of memory deficits in psychiatric disorders. Findings recommend and emphasize routine assessment of memory deficits among psychiatric disorders in developing countries especially severe mental illnesses. It remains interesting to see the role of standardized assessments in diagnostic systems given more than a decade of research on memory deficits in psychiatric disorders.

Subjective cognitive functioning, depressive symptoms, and objective cognitive functioning in people with treatment-resistant psychosis

Introduction: Relationships between subjective cognitive functioning (SCF), objective cognitive functioning (OCF), and depressive symptoms are poorly understood in treatment-resistant psychosis (TRP). This study (a) compares SCF in TRP using positively and negatively worded scales, (b) assess these scales' accuracy, and (c) explores the association between these scales and depressive symptoms. We hypothesised that both SCF scales would be highly correlated, minimally associated with OCF, and similarly associated with depressive symptoms. Methods: Archival clinical data from 52 TRP inpatients was utilised. OCF composite scores were derived from a broad neuropsychological battery. SCF was assessed using the norm-referenced PROMIS 2.0 Cognitive Abilities (positively worded) and Concerns (negatively worded) subscales. A depressive symptom score was derived from the Positive and Negative Syndrome Scale. Results: SCF ratings were higher in patients than OCF. There was a small but significant correlation between PROMIS subscales (r = .30). Neither PROMIS subscale was associated with OCF (r = -.11, r = .01). Depressive symptoms were correlated with the positively (r = -.29) but not negatively worded scale (r = -.13). Conclusion: Individuals with TRP inaccurately rate their cognitive functioning and tend to overestimate their ability. Positively and negatively worded SCF scales associate variably with depressive symptoms, indicating they may not be used interchangeably in TRP.

Applying machine learning to smartphone based cognitive and sleep assessments in schizophrenia

Background

Methods

Results

Discussion

Anomaly detection to predict relapse risk in schizophrenia

The integration of technology in clinical care is growing rapidly and has become especially relevant during the global COVID-19 pandemic. Smartphone-based digital phenotyping, or the use of integrated sensors to identify patterns in behavior and symptomatology, has shown potential in detecting subtle moment-to-moment changes. These changes, often referred to as anomalies, represent significant deviations from an individual's baseline, may be useful in informing the risk of relapse in serious mental illness. Our investigation of smartphone-based anomaly detection resulted in 89% sensitivity and 75% specificity for predicting relapse in schizophrenia. These results demonstrate the potential of longitudinal collection of real-time behavior and symptomatology via smartphones and the clinical utility of individualized analysis. Future studies are necessary to explore how specificity can be improved, just-in-time adaptive interventions utilized, and clinical integration achieved.

Patient-Reported Outcome Measures in Mental Health Clinical Research: A Descriptive Review in Comparison with Clinician-Rated Outcome Measures

PURPOSE

To review how patient-reported outcomes measures in mental health clinical research complement traditional clinician-rated outcomes measures.

DATA SOURCES

Medline, Embase, PsycInfo and Scopus.

STUDY SELECTION

Latest update of the literature search was conducted in August 2019, using a specified set of search terms to identify controlled and uncontrolled studies (published since 1996) of pharmacological or non-pharmacological interventions in adults (≥18 years) in hospital-based mental health care.

DATA EXTRACTION

Two authors extracted data independently using a pre-designed extraction form.

RESULTS OF DATA SYNTHESIS

Among the 2962 publications identified, 257 were assessed by full text reading. A total of 24 studies reported in 26 publications were included in this descriptive review. We identified subjective and objective outcome measures, classified these according to the pharmacopsychometric triangle and compared them qualitatively in terms of incremental information added to the clinical study question. The data reviewed here from primarily depression and schizophrenia intervention studies show that results from patient-reported outcome measures and clinician-rated outcome measures generally point in the same direction. There was a relative lack of patient-reported outcome measures on functioning and medication side effects compared with patient-reported outcome measures on symptom burden and health-related quality of life.

CONCLUSION

Patient-reported outcomes and clinician-rate outcomes supplement each other and at most times support identical study conclusions. Future studies would benefit from a more systematic approach towards use of patient-reported outcomes and a clearer rationale of how to weigh and report the results in comparison with clinician-rated outcomes.

How does awareness of cognitive impairment impact motivation and treatment outcomes during cognitive remediation for schizophrenia?

BACKGROUND

There is concern that awareness of cognitive deficit among people with schizophrenia receiving Cognitive Remediation (CR) might undermine motivation, engagement, and CR outcomes. We therefore examined the relationship of subjective awareness of cognitive deficit to aspects of motivation and cognitive learning during an efficacious CR program.

METHODS

Individuals with schizophrenia/schizoaffective disorder who completed 30 sessions of CR (N = 67) were evaluated on cognitive performance, self-reported cognitive difficulties, intrinsic motivation and perceived competency for cognitive training tasks at the beginning and end of treatment.

RESULTS

We found no relationship between actual and perceived cognitive functioning when measured cross-sectionally or as difference scores, pre/post treatment. Greater awareness of cognitive problems was associated with lower perceived competency for cognitive tasks at treatment beginning and end-point (p-values < .05). The significant relationship between awareness of cognitive problems and perceived value of the treatment at end-point was fully mediated by perceived competency. While greater perceived competency was associated with shorter time to treatment completion (p = .0025), it was intrinsic motivation measured at end-point that was associated with cognitive change (p = .02).

DISCUSSION

While awareness of cognitive problems may not be a prerequisite for cognitive improvement during CR, it could impact engagement in, and how one values treatment via its effect on perceived competency. Results also highlighted the importance of intrinsic motivation for doing cognitive learning activities, given its relationship to cognitive gain. Further study is needed to understand how best to assess and address awareness of cognitive abilities within the CR setting.

Assessing Cognition Outside of the Clinic: Smartphones and Sensors for Cognitive Assessment Across Diverse Psychiatric Disorders

Traditionally, the assessment of cognition and the administration of cognitive therapies has been performed in the clinic, but with modern technology, this clinic-centric view is changing. This article explores the landscape of digital devices used to measure cognition in settings outside the clinic. These devices range in mobility from user-friendly mobile devices to setting-specific devices able to provide powerful, robust cognitive therapy and living assistance in the comfort of a patient's home. Although these methods remain in early stages of developmental, initial studies suggest they may prove useful in treating patients with serious mental illnesses in a widespread clinical setting.