Hostname: page-component-8448b6f56d-dnltx Total loading time: 0 Render date: 2024-04-23T09:13:33.227Z Has data issue: false hasContentIssue false

Cognition, social cognition, and Self-assessment in schizophrenia: prediction of different elements of everyday functional outcomes

Published online by Cambridge University Press:  26 January 2019

Juliet Silberstein
Affiliation:
University of Miami Miller School of Medicine, Miami, FL, USA
Philip D. Harvey*
Affiliation:
University of Miami Miller School of Medicine, Miami, FL, USA Research Service, Bruce W. Carter VA Medical Center, Miami VA Healthcare System. Miami, FL, USA
*
*Address correspondence to: Philip D. Harvey, PhD, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA 33136. (Email: Philipdharvey1@cs.com)
Rights & Permissions [Opens in a new window]

Abstract

A growing body of research has shown that two domains of cognition, neurocognition and social cognition, predict different domains of real-world outcomes in people with schizophrenia. Social cognition has been shown to predict social outcomes but not non-social outcomes (e.g. living independently), and neurocognition provides minimal prediction of social outcomes (e.g. interpersonal relationships). The differing predictive value of neurocognition and social cognition has led to an exploration of potential factors that interact with cognition to influence everyday outcomes. Functional skills, negative symptoms, and self-assessment have shown particularly promising relationships with cognitive ability. Several consensus studies have pinpointed valid performance-based assessments. High-contact informant ratings have additionally been shown to be highly accurate. The emerging understanding of divergent patterns of predicting outcomes and reliable assessments present an opportunity to improve treatment targets and real-world outcomes for individuals with schizophrenia. In particular, a recently defined component of metacognition has shown particular promise. Introspective accuracy (IA) addresses how well individuals evaluate their own abilities. Emerging research has found that IA of neurocognitive ability better predicts everyday functional deficits than scores on performance-based measures of neurocognitive skills and has found that IA of social cognition accounts unique variance in real world disability above social cognitive abilities. Intriguingly, IA of neurocognition appears to preferentially predict non-social outcomes while IA of social cognition predicts social outcomes.

Type
Review
Copyright
© Cambridge University Press 2019 

Evidence has consistently shown that cognitive ability is a significant predictor of critical aspects of functional status in people with schizophrenia, including work performance and independent living skills. Appreciation of the cognitive deficits related to schizophrenia is not new, but for decades cognition was considered peripheral to psychosis and social withdrawal symptoms. However, when Bleuler coined the term “Schizophrenia” in the late 19th century, he referred to deficits in “associative” thinking as “fundamental” to the disease.Reference Bleuler 1 A century later cognition has again become central to our understanding of Schizophrenia, particularly in terms of the role cognitive limitations have in the development and maintenance of deficits in everyday activities. Performance on tests of cognition and of the ability to perform everyday functional skills appear to be globally related to functioning and are more relevant to impairments in functioning than the severity of psychosis in most studies.Reference Bleuler 1 Reference Tabares-Seisdedos, Balanza-Martinez and Sanchez-Moreno 8

Despite marked improvements in treatments of positive symptoms due to antipsychotic medications, functional deficits across objective (e.g., living independently, maintaining employment, and building relationships) and subjective domains (e.g., quality of life, perceived illness burden) remain a debilitating reality for the majority of individuals with schizophrenia.Reference Brekke, Levin, Wolkon, Sobel and Slade 9 The associations between specific cognitive, competence and negative symptoms domains provide clinicians with more granularly defined deficits to probe. The subsequent discussion will focus on modes of assessments and their clinical implementation to target treatment.

Efforts to understand the relationship between cognition and outcomes in Schizophrenia have focused on neurocognition and more recently social cognition. Substantially, 70–75% of individuals with schizophrenia perform below the normative expectations on processing speed, attention, learning and memory, and problem-solving and working memory. These non-social cognitive domains fall under the broad label of neurocognition. In addition to deficits in the ability to live independently and engage in productive activities, patients may additionally struggle to function socially.

Social cognition has recently been identified as a candidate domain to understand social outcomes in healthy and impaired populations. An individual’s ability to identify and interpret other’s emotions or intentions, and to use those social signals to guide informed conclusions or behaviors fall under the broad category of social cognition. Social cognition is a newer domain of research with newer measures, many of which lack the rich history of validation and normative study of neurocognitive measures.Reference Pinkham, Penn, Green, Buck, Healey and Harvey 10 As result, it is not yet possible to make a definitive statement about the prevalence of social cognitive impairments seen in people with schizophrenia.

Research on the association of cognition and functional outcomes has substantially deepened our understanding of both the nature and predictors of everyday outcomes, yet studies of the determinants of everyday functional deficits in schizophrenia have stalled at accounting 50% or less of the variance in real-world functioning.Reference Bowie, Leung and Reichenberg 2 Reference Harvey, Raykov, Twamley, Vella, Heaton and Patterson 5 The attempts to determine additional associations between global neurocognition and outcome have been limited in their success. The Cognitive Neuroscience Test Reliability and Clinical Applications for Schizophrenia (CNTRACS) Consortium identified a number of cognitive abilities that were reliably measures with performance-based assessments and linked to specific elements of brain functioning. However, the consortium was not as successful at identifying predictive measures that added to the understanding of the causes of everyday disability despite using highly selective neuroscience-oriented tests with clear neurobiological correlates.Reference Gold, Barch and Carter 11

On the surface these findings seem disheartening, but there are at least two reasons for this outcome. The first is the simplest, the more cognitive domains that a specific neuropsychological test predicts, the more globally sensitive it is to outcome. The classic example is that of various coding tests. These tests require intact functioning in several domains in order to be performed efficiently, including visual perception, problem solving, working memory, and speed.Reference Knowles, Weiser, David, Glahn, Davidson and Reichenberg 12 Thus, these tasks routinely account for more than 60% of the variance in composite measures of neurocognitionReference Keefe, Poe, Walker, Kang and Harvey 13 and are routinely found to be the strongest predictor of everyday disability.Reference McClure, Bowie and Patterson 14 Thus, tasks that measure a single highly selective aspect of cognitive performance seem unlikely to add to the prediction of the everyday disability by broad and nonspecific tests already capturing multiple cognitive domains.

The second reason is related to the development that a growing body of research has shown a divergence of neurocognition and social cognition for the prediction of different domains of real-world outcomes, such that social cognition predicts social outcomes but not everyday activities (e.g. living independently), and neurocognition provides a minimal prediction of social outcomes (e.g. interpersonal relationships).Reference Fett, Viechtbauer, Dominguez, Penn, van Os and Krabbendam 6 , Reference Depp, Mausbach and Harmell 15 A recent study by Pinkham et.al. found that combined neurocognition and social cognition accounted for 13% of the variance in functional outcomes (social and nonsocial) as rated by high-quality informants. When the outcomes domains were differentiated, neurocognition accounted for only 5% of the variance in social outcomes.Reference Pinkham, Penn, Green and Harvey 16 The differing predictive value of neurocognition and social cognition has led to an exploration of potential mediators, associated factors, and cognitive sub-domains that interact with cognition to influence everyday outcomes across the three main domains of functioning.

Consensus Determination of Validated Tools to Assess Cognitive and Functional Deficits

Several assessment issues have become apparent as cognition and social cognition have developed into important treatment targets. In contrast to assessment strategies that would be employed in less impaired populations, assessment of cognition, social cognition, functional capacity, and everyday functioning pose special challenges in people with people with schizophrenia. Self-report and, perhaps surprisingly, family or friend reported assessments of an individual with schizophrenia’s cognitive ability and everyday functioning has yielded limited association to objective functioning as measured on performance-based assessments or achievement of functional milestones.Reference Sabbag, Twamley, Vella, Heaton, Patterson and Harvey 17 , Reference Harvey, Sabbag, Prestia, Durand, Twamley and Patterson 18 The lack of validity of self-ratings of cognitive and functional ability have enhanced the need for reliable and clinically-feasible measures to examine cognitive abilities.

Several consensus initiatives have attempted to develop well-validated measures suitable for both use in clinical trials and treatment. The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) projectReference Nuechterlein, Green and Kern 19 , was aimed at the need for standardized methods for the assessments of outcomes in studies aimed at the development of treatments of cognitive impairment associated with schizophrenia. Our research projects, SCOPEReference Pinkham, Penn, Green, Buck, Healey and Harvey 10 and VALEROReference Harvey, Raykov, Twamley, Vella, Heaton and Patterson 5 , aimed to increase the validity of assessments of social cognition and functional outcomes, respectively. The outcome of these consensus projects has provided clinicians with valid methods that do not form treatment targets based on patients’ self-reports and reports of non-caregiver relatives or friends of patients, which have shown lack requisite validity for use in either clinical trial or clinical treatment contexts.Reference Sabbag, Twamley, Vella, Heaton, Patterson and Harvey 17 , Reference Harvey, Sabbag, Prestia, Durand, Twamley and Patterson 18 Assessment strategies in clinical trials and clinical practice fall in several different domains. These include performance-based assessments of cognition, social cognition, functional capacity, and social competence, as described above. Across domains of cognition, and everyday functioning, high contact clinician’s or caregiver’s evaluations and ratings have been shown to be highly aligned with performance measures.Reference Sabbag, Twamley, Vella, Heaton, Patterson and Harvey 17 The implementation of performance-based and high-contact informant ratings can help clinicians create more targeted treatment goals.

Introspective Accuracy

Self-report of ability and functioning continues to add clinical value, despite the lack of validity for objective outcomes (Table 1). There has been recognition that the ability to evaluate one’s own cognitive abilities, referred to often as “meta-cognition” is an important cognitive ability on its own. Over- or under- estimation of one’s ability are both manifestations of impaired meta-cognitive functioning. A newly defined component of the larger metacognition construct addresses just how well individuals evaluate their own abilities and performance,Reference Koren, Seidman, Goldsmith and Harvey 20 and we refer to this type of self-awareness as “introspective accuracy” (IA). Self-reports lie at the crux of clinically assessing IA. Impairments in IA can be easily indexed by discrepancies between how one rates one’s abilities and achievements, and his/her actual performance or a high-contact informant’s rating of his/her ability. Poor performers could be helped to attempt to match their aspirations to accomplishments and improve over time. Good performers could have their functioning bolstered by recognition of their competence. Thus, even a population whose performance often is poor could benefit from accurate self-assessment and reduce challenges from inaccurate self-evaluation.Reference Gould, McGuire and Durand 21

Table 1 Clinical Assessment of Introspective Accuracy

Importantly, a growing body of research has found that IA deficits across various domains have negative consequences on morbidity and mortality as these impairments impact medication adherence, suicidality, everyday activities, vocational functioning, and social outcomes.Reference McKibbin, Patterson and Jeste 22 Reference Patterson, Semple and Shaw 25 IA of neuro- and social- cognition appear to predict everyday functional outcomes differentially. IA of neurocognition preferentially predicts non-social everyday functional outcomes while IA of social cognition predicts real world social outcomes. Information obtained regarding IA of performance can be clinically helpful, regardless of whether performance is objectively good or bad.

Varying Patterns of Predictions between Neuro- and Social Cognitive Assessments

Objective assessment-based performance, informant ratings, and IA of neuro- and social cognition have all been shown to be associated with functional outcomes to differing extents. The subsequent discussion summarizes current findings on the patterns of prediction of function outcomes.

Neurocognitive objective performance

Scores on neurocognitive assessment batteries account for variation in non-social outcomes more strongly than social outcomes. A recent analysis found that performance of the consensus neurocognitive assessment battery (MCCB) accounted for 10% of the variance in everyday activities, 4% of the variance in vocational outcomes, and failed to account for variance in interpersonal relationships.Reference Harvey, Khan and Keefe 26 Considering that vocational outcomes require both neuro- and social- cognitive ability, the relative strength of association decreased as the outcomes became more socially orientated.

IA of neurocognitive ability has been shown to be a more potent predictor of everyday functional deficits than scores on performance-based measures of neurocognitive cognitive abilities or functional capacity. Our VALERO study assessed the relative predictive power of neurocognitive IA, functional capacity (skills), and neurocognitive performance with three domains of functional outcomes (Table 2). The functional outcomes domains consisted of non-social (everyday activities), mixed non-social and social (work), and social outcomes (interpersonal). The analysis for everyday activities showed that IA accounted for 42% (R2=.42, F=107.62, p<.001) of the variance and neurocognitive performance contributed an additional 3% of the variance (R2=.45, F=60.22, p<.001). When vocational outcomes were analyzed, the IA contributed 37% (R2=.37, F=87.75, p<.001) of the variance and functional capacity contributed an additional 5% of the variance (R2=.42, F=53.29, p<.001). Finally, when social functioning and interpersonal outcomes were examined, IA contributed to 29% (R2=.29, F=60.51, p<.001) of the variance, and functional competence contributed an additional 2% of the variance (R2=.31, F=53.29, p<.001). These results indicate that IA of neurocognition more strongly predicted non-social functional outcomes (everyday activities) than social outcomes (interpersonal relationships). Importantly, IA of neurocognition may be the strongest predictor of non-social outcome, and more predictive than either cognition or capacity.Reference Gould, McGuire and Durand 21

Table 2 Strongest Predictors of Everyday Outcomes and Patterns of Prediction by Introspective Accuracy

Neurocognitive informant ratings

Research has shown that high-contact informant ratings of patients’ neurocognitive ability can be a highly useful tool for assessing functional outcomes, and a reliable proxy for extensive neurocognitive performance assessment. High-contact clinician ratings of 214 patients with schizophrenia on the Cognitive Assessment Inventory (CAI) showed moderate correlations to work and everyday activities (all r=−.28 to −.42, p<.001).Reference Silberstein, Pinkham, Penn and Harvey 21 These correlations were similar in their magnitude to those coming from the combination of performance based assessments of cognition and scores on a functional capacity measure.

In a previous study, ratings on the Schizophrenia Cognition Rating Scale (SCoRS), based on interviewer judgment based after interviews with patients and informants, were as strongly correlated with NP test performance as performance based assessments of functional capacity.Reference Keefe, Poe, Walker, Kang and Harvey 13 In a later study, informant ratings of cognitive and functional performance with the SCoRS were sensitive to effects of a pharmacological treatment (encenicline), while patient reports of their cognitive and functional performance with the same instrument did not separate from placebo.Reference Keefe, Davis and Spagnola 31

Social cognitive objective performance

A meta-analysis of 52 studies found that social cognitive performance-based scores had a medium strength correlation with functional outcomes (all r=.31–.48, all p<.004). A subsequent analysis of the data showed that social cognitive performance had a stronger relationship to social everyday outcomes and non-social outcomes.Reference Fett, Viechtbauer, Dominguez, Penn, van Os and Krabbendam 6 The results from the SCOPE trials support the association between social cognitive measures and functional outcomes, but found the strength of the relationship to be to be small. Half of the social cognitive tasks assessed showed significant, yet limited correlations. When restricting the sample to individuals with high contact clinician informants, correlations became minimal and largely non-significant; the average correlation fell to 0.07, and only one measure remained significant. Social cognitive performance accounted for less than 5% of the variance in social and non-social outcomes.Reference Pinkham, Penn, Green and Harvey 16

Social cognition informant ratings

The Observable Social Cognition Rating Scale (OSCARS), the first informant based interview scale for social cognition, has shown internal consistency and test re-test reliability. Importantly, the OSCARS uniquely predicted real-world outcomes beyond objective social cognitive measures with a magnitude of nearly double the variance contributed by objective-based measures of social cognition.Reference Healey, Combs, Gibson, Keefe, Roberts and Penn 27 On-going research for the fifth phase of the SCOPE trial suggested that informant based ratings on the OSCARs might be a stronger predictor of functional outcomes than performance on social cognitive performance-based assessments. In particular, OSCARs ratings generated by informants who were unaware of any elements of test performance or self-reports accounted for a larger proportion of the variation in social outcomes (all r=.53–.63, all R2=.25–36, p<.001) than non-social outcomes (r=.38, R2= .14, p<.001).Reference Silberstein, Pinkham, Penn and Harvey 32 These findings support that the 7-question OSCARs rating scale might be an effective proxy for extensive performance-based testing and may aid in determining factors producing a patients’ social impairments.

IA of social cognition is an emerging research field. Recent data suggests that IA accounts for a unique variance of 6–8% in the prediction of social outcomes beyond social cognitive performance or informant ratings. IA of SC showed a significant correlation of medium strength to interpersonal, social acceptability, and work outcomes (all r=.32–.45, P<.001) while showing a small relationship to everyday activities (r=.23, P<.001). These findings support the combination of high-contact informant ratings and patient’s self-reports because the discrepancy score adds unique understanding of everyday social deficits.Reference Silberstein, Pinkham, Penn and Harvey 32

Clinical implications

To bring together our discussion of the relationship between neuro- and social cognition, and metacognitive IA, consider the following scenarios (Table 3). (1) A person incorrectly believes they have a good memory, but actually regularly forget tasks and has difficulty paying bills. (2) A person incorrectly believes she is not good at reading others’ emotions and lacks the motivation to engage in social interactions as a consequence. In scenario one, deficits in neurocognition coupled with poor IA leads to deficits in non-social outcomes. In scenario two, the individual does not present with social cognitive deficits yet, poor IA produce interpersonal deficits. The outcome of each scenario is ultimately the same. The individual fails to complete real-world tasks. The scenarios demonstrate how cognition interacts with separate but interrelated measures leading to real-world impairments.

Table 3 Clinical Scenarios regarding Introspective accuracy

Evidence that subdomains of cognition (neurocognition, social cognition, IA) predict different functional outcomes opens an exciting new frontier in research and clinical treatment. Clinicians can more accurately individualize their evaluation and treatment. For example, if a patient presents with significant deficits in interpersonal relationships, a focused assessment of a patient’s social cognition performance and their IA of social cognition would be most helpful. Now consider an individual that who struggles with independent living skills. Evaluation of neurocognitive test performance and their IA of neurocognition would best highlight deficits associated with non-social functional impairment. Evidence that informant ratings are useful as a standard against which to judge the accuracy of patients’ self-assessments, and as a reliable proxy for extensive neuropsychological testing improves the feasibility of clinically assessing the described predictors of functional deficits. Non-social and social deficits are not mutually exclusive, but divergent patterns of prediction enhance the clinical toolbox.

Disclosures

Dr. Harvey reports personal fees from Allergan, personal fees from Akili, personal fees from Boehringer-Ingelheim, from Lundbeck, personal fees from Otsuka Digital Health, personal fees from Sanofi, personal fees from Sunovion, personal fees from Takeda, personal fees from Teva, outside the submitted work.

Ms. Silberstein has nothing to disclose.

References

1. Bleuler, E. Dementia Praecox, or the Group of Schizophrenias. J. Zinkin, Trans: New York: International Universities Press; 1950 (Original work published 1911).Google Scholar
2. Bowie, CR, Leung, WW, Reichenberg, A, et al. Predicting Schizophrenia Patients’ Real-world Behavior with Specific Neuropsychological and Functional Capacity Measures. Biol Psychiatry. 2008; 63(5): 505511.Google Scholar
3. Bowie, CR, Reichenberg, A, Patterson, TL, Heaton, RK, Harvey, PD. Determinants of Real-world Functional Performance in Schizophrenia Subjects: Correlations with Cognition, Functional Capacity, and Symptoms. Am J Psychiatry. 2006; 163(3): 418425.Google Scholar
4. Bowie, CR, Depp, C, McGrath, JA, et al. Prediction of Real-world Functional Disability in Chronic Mental Disorders: a Comparison of Schizophrenia and Bipolar Disorder. Am J Psychiatry. 2010; 167(9): 11161124.Google Scholar
5. Harvey, PD, Raykov, T, Twamley, EW, Vella, L, Heaton, RK, Patterson, TL. Validating the Measurement of Real-world Functional Outcomes: Phase I Results of the VALERO Study. Am J Psychiatry. 2011; 168(11): 11951201.Google Scholar
6. Fett, AK, Viechtbauer, W, Dominguez, MD, Penn, DL, van Os, J, Krabbendam, L. The Relationship between Neurocognition and Social Cognition with Functional Outcomes in Schizophrenia: a Meta-analysis. Neuroscience Biobehav Rev. 2011; 35(3): 573588.Google Scholar
7. Green, MF, Kern, RS, Braff, DL, Mintz, J. Neurocognitive Deficits and Functional Outcome in Schizophrenia: Are We Measuring the “Right Stuff”? Schizophr Bull. 2000; 26(1): 119136.Google Scholar
8. Tabares-Seisdedos, R, Balanza-Martinez, V, Sanchez-Moreno, J, et al. Neurocognitive and Clinical Predictors of Functional Outcome in Patients with Schizophrenia and Bipolar I Disorder at One-year Follow-up. J Affect Disord. 2008; 109(3): 286299.Google Scholar
9. Brekke, JS, Levin, S, Wolkon, GH, Sobel, E, Slade, E. Psychosocial Functioning and Subjective Experience in Schizophrenia. Schizophr Bull. 1993; 19(3): 599608.Google Scholar
10. Pinkham, AE, Penn, DL, Green, MF, Buck, B, Healey, K, Harvey, PD. The Social Cognition Psychometric Evaluation Study: Results of the Expert Survey and RAND Panel. Schizophr Bull. 2014; 40(4): 813823.Google Scholar
11. Gold, JM, Barch, DM, Carter, CS, et al. Clinical, Functional, and Intertask Correlations of Measures Developed by the Cognitive Neuroscience Test Reliability and Clinical Applications for Schizophrenia Consortium. Schizophr Bull. 2012; 38(1): 144152.Google Scholar
12. Knowles, EE, Weiser, M, David, AS, Glahn, DC, Davidson, M, Reichenberg, A. The Puzzle of Processing Speed, Memory, and Executive Function Impairments in Schizophrenia: Fitting the Pieces Together. Biol Psychiatry. 2015; 78(11): 786793.Google Scholar
13. Keefe, RS, Poe, M, Walker, TM, Kang, JW, Harvey, PD. The Schizophrenia Cognition Rating Scale: an Interview-based Assessment and Its Relationship to Cognition, Real-world Functioning, and Functional Capacity. Am J Psychiatry. 2006; 163(3): 426432.Google Scholar
14. McClure, MM, Bowie, CR, Patterson, TL, et al. Correlations of Functional Capacity and Neuropsychological Performance in Older Patients with Schizophrenia: Evidence for Specificity of Relationships? Schizophr Res. 2007; 89(1-3): 330338.Google Scholar
15. Depp, CA, Mausbach, BT, Harmell, AL, et al. Meta-analysis of the Association between Cognitive Abilities and Everyday Functioning in Bipolar Disorder. Bipolar Disord. 2012; 14(3): 217226.Google Scholar
16. Pinkham, AE, Penn, DL, Green, MF, Harvey, PD. Social Cognition Psychometric Evaluation: Results of the Initial Psychometric Study. Schizophr Bull. 2016; 42(2): 494504.Google Scholar
17. Sabbag, S, Twamley, EM, Vella, L, Heaton, RK, Patterson, TL, Harvey, PD. Assessing Everyday Functioning in Schizophrenia: Not All Informants Seem Equally Informative. Schizophr Research. 2011; 131(1-3): 250255.Google Scholar
18. Harvey, PD, Sabbag, S, Prestia, D, Durand, D, Twamley, EW, Patterson, TL. Functional Milestones and Clinician Ratings of Everyday Functioning in People with Schizophrenia: Overlap between Milestones and Specificity of Ratings. J Psychiatric Res. 2012; 46(12): 15461552.Google Scholar
19. Nuechterlein, KH, Green, MF, Kern, RS, et al. The MATRICS Consensus Cognitive Battery, Part 1: Test Selection, Reliability, and Validity. Am J Psychiatry. 2008; 165(2): 203213.Google Scholar
20. Koren, D, Seidman, LJ, Goldsmith, M, Harvey, PD. Real-world Cognitive and Metacognitive Dysfunction in Schizophrenia: A New Approach for Measuring (and Remediating) More of the “Right Stuff”. Schizophr Bull. 2006; 32(2): 310326.Google Scholar
21. Gould, F, McGuire, LS, Durand, D, et al. Self-assessment in Schizophrenia: Accuracy of Evaluation of Cognition and Everyday Functioning. Neuropsychology. 2015; 29(5): 675682.Google Scholar
22. McKibbin, C, Patterson, TL, Jeste, DV. Assessing Disability in Older Patients with Schizophrenia: Results from the WHODAS-II. J Nerv Ment Dis. 2004; 192(6): 405413.Google Scholar
23. Green, MF, Schooler, NR, Kern, RS, et al. Evaluation of Functionally Meaningful Measures for Clinical Trials of Cognition Enhancement in Schizophrenia. Am J Psychiatry. 2011; 168(4): 400407.Google Scholar
24. Holshausen, K, Bowie, CR, Mausbach, BT, Patterson, TL, Harvey, PD. Neurocognition, Functional Capacity, and Functional outcomes: the Cost of Inexperience. Schizophr Res. 2014; 152(2-3): 430434.Google Scholar
25. Patterson, TL, Semple, SJ, Shaw, WS, et al. Self-Reported Social Functioning Among Older Patients with Schizophrenia. Schizophr Res. 1997; 27(2-3): 199210.Google Scholar
26. Harvey, PD, Khan, AK, Keefe, RS. Using the PANNS to Define Different Domains of Negative Symptoms: Prediction of Everyday Functioning by Impairments in Emotional Expression and Emotional Experience. Innov Clin Neurosci. 2017; 14(11–12): 1822.Google Scholar
27. Healey, KM, Combs, DR, Gibson, CM, Keefe, RS, Roberts, DL, Penn, DL. Observable Social Cognition-A Rating Scale: an Interview-Based Assessment for Schizophrenia. Cognitive Neuropsychiatry. 2015; 20(3): 198221.Google Scholar
28. Bryson, G, Bell, M, Lysaker, P. Affect recognition in schizophrenia: a function of global impairment or a specific cognitive deficit. Psychiatry Res. 1997; 71(2): 105113.Google Scholar
29. Kohler, CG, Turner, TH, Bilker, WB, et al. Facial emotion recognition in schizophrenia: intensity effects and error pattern. Am J Psychiatry. 2003; 60(10): 17681774 Google Scholar
30. Corcoran, R, Mercer, G, Frith, CD. Schizophrenia, symptomatology and social inference: investigating “theory of mind” in people with schizophrenia. Schizophr Res. 1995; 17(1): 513.Google Scholar
31. Keefe, RS, Davis, VG, Spagnola, NB, et al. Reliability, Validity and Treatment Sensitivity of the Schizophrenia Cognition Rating Scale. Eur Psychopharmacol. 2015; 25(2): 176184.Google Scholar
32. Silberstein, J. M., Pinkham, A. E., Penn, D. L., & Harvey, P. D. Self-assessment of social cognitive ability in schizophrenia: Association with social cognitive test performance, informant assessments of social cognitive ability, and everyday outcomes. Schizophr Res. doi:10.1016/j.schres.2018.04.015 epub before publicationGoogle Scholar
Figure 0

Table 1 Clinical Assessment of Introspective Accuracy

Figure 1

Table 2 Strongest Predictors of Everyday Outcomes and Patterns of Prediction by Introspective Accuracy

Figure 2

Table 3 Clinical Scenarios regarding Introspective accuracy