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Social Cognitive Interventions in Neuropsychiatric Patients: A Meta-Analysis

Published online by Cambridge University Press:  07 December 2016

Renée L. Roelofs*
Affiliation:
Centre of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands
Ellen Wingbermühle
Affiliation:
Centre of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
Jos I.M. Egger
Affiliation:
Centre of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands Centre of Excellence for Korsakoff and Alcohol-Related Cognitive Disorders, Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands
Roy P.C. Kessels
Affiliation:
Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands Centre of Excellence for Korsakoff and Alcohol-Related Cognitive Disorders, Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands Department of Medical Psychology, Radboud University Medical Center, Nijmegen, the Netherlands
*
Address for correspondence: R.L. Roelofs, Centre of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Stationsweg 46, 5803 AC Venray, the Netherlands. Phone: +31 478527 339; Telefax: +31 478 527 626. E-mail: [email protected]

Abstract

Social cognitive deficits are common in neuropsychiatric disorders. Given the proximity of social cognition (SC) to everyday functioning, many intervention studies (including targeted, comprehensive, and broad-based approaches) have focussed on SC. The aim of this paper was to quantitatively meta-analyse the efficacy of SC interventions in adult neuropsychiatric patients. Databases Pubmed, PsycINFO, Web of Knowledge, and Embase were searched for controlled SC intervention studies published between 01-01-2003 and 01-01-2016. Forty-one studies, comprising 1,508 patients with schizophrenia, autism spectrum disorders, or acquired brain injury were included. Outcome measures evaluated emotion perception (EP), social perception (SP), Theory of Mind (ToM), and social functioning (SF). The meta-analyses showed that interventions were effective in improving SC (Cohen's d=.71). Interventions targeting one specific SC function were found to be most effective (d=.89), followed by broad-based interventions, targeting non-SC domains in addition to SC (d=.65), and comprehensive interventions, that target multiple SC processes (d=.61). Targeted interventions were especially effective in improving EP and ToM. Comprehensive interventions were able to ameliorate EP, ToM, and SF. Broad-based interventions were especially effective in improving SF, but also showed effects on EP and ToM.

Type
Articles
Copyright
Copyright © Australasian Society for the Study of Brain Impairment 2016 

Introduction

Social cognitive deficits are common in a variety of psychiatric and neurological disorders. Given the proximity of social cognition (SC) to everyday functioning, many intervention studies have focussed on improving SC in these populations. The aim of this paper is to quantitatively meta-analyse the efficacy of these interventions in adult neuropsychiatric patients.

Defining Social Cognition

SC is considered to be a cognitive domain that includes the mental processes underlying social interactions. In other words, SC represents how people make sense of other people and themselves (Fiske & Taylor, Reference Fiske and Taylor2013). SC is commonly conceptualised as three components of information processing (Adolphs, Reference Adolphs2001; Beer & Ochsner, Reference Beer and Ochsner2006): (1) perception of socially relevant information (of the self, other people, or the interaction between the two), (2) interpretation of this information and the integration with contextual information, and (3) execution and regulation of social behaviour.

In accordance with this definition, three cognitive processes are commonly distinguished in SC intervention studies and also used as outcome measures. These include emotion perception, social perception, and Theory of Mind (ToM) (Green, Olivier, Crawley, Penn, & Silverstein, Reference Green, Olivier, Crawley, Penn and Silverstein2005; Horan, Kern & Green, Reference Horan, Kern and Green2008). Emotion perception refers to the ability to perceive emotional information from the self (inner feelings) or others (in facial expressions or voices for instance). Social perception is conceptualised as the ability to identify social cues from contextual information and communicative gestures, such as awareness of social roles, rules, and social relationships. ToM is defined as mental state attribution or mentalising, and it refers to the ability to infer the intentions, beliefs, feelings, and opinions of the self and others. Fourth, social functioning encompasses social behaviours that are the result of the aforementioned cognitive processes, for instance, interpersonal contact or social skills. Alexithymia is a personality concept that is strongly related to SC, which is characterised by an emotion regulation deficit, difficulties in identifying and describing own emotional feelings, a limited imaginal capacity, and an externally oriented cognitive style (Taylor & Bagby, Reference Taylor, Bagby and Widiger2012). A considerable body of evidence suggests that alexithymia is often associated with SC impairments, such as deficits in emotion recognition (Bird & Cook, Reference Bird and Cook2013; Grynberg et al., Reference Grynberg, Chang, Corneille, Maurage, Vermeulen, Berthoz and Luminet2012; Lane et al., Reference Lane, Sechrest, Reidel, Weldon, Kaszniak and Schwartz1996; Lane, Sechrest, Riedel, Shapiro & Kasniak, Reference Lane, Sechrest, Riedel, Shapiro and Kasniak2000; Mann, Wise, Trinidad & Kohanski, Reference Mann, Wise, Trinidad and Kohanski1995; Taylor, Taylor & Bagby, Reference Taylor, Taylor and Bagby1993) and mentalising (Moriguchi et al., Reference Moriguchi, Ohnishi, Lane, Maeda, Mori, Nemoto and Komaki2006; Subic-Wrana, Beutel, Knebel & Lane, Reference Subic-Wrana, Beutel, Knebel and Lane2010; Swart, Kortekaas & Aleman, Reference Swart, Kortekaas and Aleman2009).

Social Cognition in Neuropsychiatric Patients

SC deficits have been demonstrated in a variety of neuropsychiatric disorders (e.g., schizophrenia: Penn, Corrigan, Bentall, Racenstein, & Newman, 1997; autism spectrum disorders (ASD): Couture et al., Reference Couture, Penn, Losh, Adolphs, Hurley and Piven2010; mood disorders, Samamé, Reference Samamé2013; anxiety disorders: Plana, Lavoie, Battaglia & Achim, Reference Plana, Lavoie, Battaglia and Achim2014; traumatic brain injury: Muller et al., Reference Muller, Simion, Reviriego, Galera, Mazaux, Barat and Joseph2010; Alzheimer's dementia: Bediou et al., Reference Bediou, Ryff, Mercier, Milliery, Hénaff, D'Amato and Krolak-Salmon2009; frontotemporal dementia: Gregory et al., Reference Gregory, Lough, Stone, Erzinclioglu, Martin, Baron-Cohen and Hodges2002; Lough et al., Reference Lough, Kipps, Treise, Watson, Blair and Hodges2006; Huntington's disease: Snowden et al., Reference Snowden, Gibbons, Blackshaw, Doubleday, Thompson, Craufurd, Foster and Neary2003). Furthermore, impaired SC has also been reported in individuals with intellectual disabilities (Baurain & Nader-Grosbois, Reference Baurain and Nader-Grosbois2013; Leffert, Siperstein & Widaman, Reference Leffert, Siperstein and Widaman2010) and genetic syndromes (e.g., Williams syndrome: Meyer-Lindenberg et al., Reference Meyer-Lindenberg, Hariri, Munoz, Mervis, Mattay, Morris and Berman2005; Prader–Willi syndrome: Whittington & Holland, Reference Whittington and Holland2011; Noonan syndrome: Wingbermühle, Egger, Verhoeven, Van der Burgt & Kessels, Reference Wingbermühle, Egger, Verhoeven, Van der Burgt and Kessels2012; Turner syndrome: Burnett, Reutens & Wood, Reference Burnett, Reutens and Wood2010; Phelan–McDermid syndrome: Egger, Zwanenburg, Van Ravenswaaij-Arts, Kleefstra & Verhoeven, Reference Egger, Zwanenburg, Van Ravenswaaij-Arts, Kleefstra and Verhoeven2016).

Poor SC is associated with psychological distress, social isolation, and reduced self-esteem (Beauchamp & Anderson, Reference Beauchamp and Anderson2010). Alexithymia has been shown to diminish quality of life and is associated with difficulty in interpersonal relationships (Kennedy & Franklin, Reference Kennedy and Franklin2002). It is also thought to be a risk factor for various (psycho)somatic and psychiatric disorders (for instance, mood and anxiety disorders), although only correlational data are available to date, making causal inferences not possible (Taylor & Bagby, Reference Taylor, Bagby and Widiger2012).

In patients with schizophrenia, associations have been found between SC (emotion perception, social perception, and ToM) and functional outcome measures such as community functioning, social behaviour, social problem solving, and social skills (Couture, Penn & Roberts, Reference Couture, Penn and Roberts2006). Fett et al. (Reference Fett, Viechtbauer, Dominguez, Penn, Van Os and Krabbendam2011) even found SC to be more strongly related to community functioning than ‘cold’ neurocognitive processes (i.e., cognitive functions involved in non-affective information processing, such as processing speed, attention, [working] memory, and problem solving). Penn et al., (Reference Penn, Corrigan, Bentall, Racenstein and Newman1997) stated that SC differs from neurocognition in the type of stimuli processed (social, personally relevant, mutable vs. non-social, neutral, stable), the relationship of the observer to the stimulus (multi-directional vs. unidirectional), and the evaluation of the performance. Given the proximity of SC to community functioning (i.e., interpersonal relations, work functioning), SC is also an important treatment target in addition to neurocognitive (dys)function in isolation.

Treatments for Social Cognition

Regarding the influence of SC on the functional status of patients with schizophrenia and its established responsiveness to treatment, research concerning SC interventions in other psychiatric disorders has increased rapidly over the past decade. Most studies categorise SC treatments into three groups: targeted, comprehensive, or broad-based interventions (Fiszdon & Reddy, Reference Fiszdon and Reddy2012). Targeted interventions focus on a single SC subdomain, like emotion perception (e.g., Treatment of Affect Recognition (TAR): Wölwer et al., Reference Wölwer, Frommann, Halfmann, Piaszek, Streit and Gaebel2005). Comprehensive interventions also solely focus on SC, but address a broader range of SC subdomains and impairments. For instance, the Social Cognition Interaction Training (SCIT) (Roberts, Penn & Combs, Reference Roberts, Penn and Combs2016) encompasses treatment of emotion perception, ToM, and attributional bias. Broad-based interventions embed training of SC aspects within the context of other interventions, such as social skills training or neurocognitive remediation. The Cognitive Enhancement Therapy (CET) is a well-known example of a broad-based intervention, which combines a SC intervention with neurocognitive training (Hogarty & Flesher, Reference Hogarty and Flesher1999).

By far, the majority of SC interventions have focussed on reducing impairments in patients with schizophrenia spectrum disorders (SSD). Several reviews and one meta-analysis have been published in the field of schizophrenia research (e.g., Fiszdon & Reddy, Reference Fiszdon and Reddy2012; Horan et al., Reference Horan, Kern and Green2008; Kurtz & Richardson, Reference Kurtz and Richardson2011). These reviews concluded that targeted, comprehensive, and broad-based interventions are all able to enhance relatively ‘simple’ SC processes (e.g., emotion perception), whereas more complex, higher order functions such as ToM and social perception have proven to be less amenable for treatment (Fiszdon & Reddy, Reference Fiszdon and Reddy2012; Kurtz & Richardson, Reference Kurtz and Richardson2011). Especially targeted interventions improve specific SC functions in SSD, whilst improvement in multiple domains has been reported for comprehensive and broad-based interventions (Choi, Kim, Lee & Green, Reference Choi, Kim, Lee and Green2009; Horan et al., Reference Horan, Kern and Green2008; Kurtz & Richardson (Reference Kurtz and Richardson2011); Mueller, Schmidt & Roder, Reference Mueller, Schmidt and Roder2013; Statucka & Walder Reference Statucka and Walder2013). The common multi-component design of the broad-based and comprehensive interventions complicates the assignment of specific intervention effects and the indication of key ingredients (Choi et al., Reference Choi, Kim, Lee and Green2009; Horan et al., Reference Horan, Kern and Green2008; Roberts & Velligan, Reference Roberts and Velligan2012; Roberts et al., Reference Roberts, Combs, Willoughby, Mintz, Gibson, Rupp and Penn2014). The high degree of similarity between the training stimuli and test stimuli in targeted interventions has raised concern about ‘training to the task’ and the (lack of) transfer to real-life social functioning has appeared to be problematic (Horan et al., Reference Horan, Kern and Green2008; Paquin, Wilson, Cellard, Lecomte & Potvin, Reference Paquin, Wilson, Cellard, Lecomte and Potvin2014; Wölwer & Frommann, Reference Wölwer and Frommann2011). In addition, Peyroux and Franck (Reference Peyroux and Franck2014) stated that SC interventions rely too heavily on hierarchical, step-by-step models, which train one component at a time, lacking the complex demands of real-life social interactions.

Interventions addressing SC in ASD or in patients with acquired brain injury (ABI) have been studied less frequently than those in SSD. In patients with ABI, SC interventions mainly focussed on retraining social cue perception, social communication, and social skills or functioning. Although the number of studies so far is limited, there are positive indications from previous literature reviews that emotion perception, social communication skills, and social functioning can be improved after brain injury (Braden, Reference Braden, McDonald, Togher and Code2014; Driscoll, Dal Monte & Grafman, Reference Driscoll, Dal Monte and Grafman2011; Manly & Murphy, Reference Manly and Murphy2012). A systematic review on psychosocial interventions (including SC interventions) in adults with ASD reported that these treatments are generally effective, although the quantity and quality of the studies are again limited (Bishop-Fitzpatrick, Minshew & Eack, Reference Bishop-Fitzpatrick, Minshew and Eack2013). A meta-analysis on targeted interventions of ToM and precursor skills (such as emotion perception) in children and adults with ASD showed modest evidence of treatment success, but studies lacked generalisation to novel contexts and the long-term maintenance of learnt skills was unclear (Fletcher-Watson, McConnell, Manola & McConachie, Reference Fletcher-Watson, McConell, Manola and McConachie2014).

Several studies focussed on alexithymia in psychotherapeutic treatments, but only a few interventions have been described that were specifically designed to remediate alexithymic problems. Alexithymia is considered to be a difficult construct to treat, because most interventions require some awareness of and access to the patient's own emotions, skills that are commonly impaired in alexithymic individuals (Byrne, Bogue, Egan, & Lonergan, Reference Byrne, Bogue, Egan and Lonergan2014; Ogrodniczuk, Sochting, Piper & Joyce, Reference Ogrodniczuk, Sochting, Piper and Joyce2012). Cameron, Ogrodniczuk, and Hadjipavlou (Reference Cameron, Ogrodniczuk and Hadjipavlou2014) reviewed 23 studies that examined changes in alexithymia levels, following a psychological intervention. Patient populations included eating disorders (k=4), anxiety disorders (k=4), mood disorders (k=1), substance use disorders (k=2), mixed in- and outpatient populations (k=5), non-psychiatric medical conditions (k=5), and non-patient populations (k=2). The authors concluded that especially the studies that targeted alexithymia directly tended to report significant reductions in alexithymia levels, whilst psychological interventions that were not primarily intended to treat alexithymia showed more inconsistent results.

Aims of This Meta-analysis

Since SC impairments are common in a variety of neuropsychiatric disorders (Bediou et al., Reference Bediou, Ryff, Mercier, Milliery, Hénaff, D'Amato and Krolak-Salmon2009; Couture et al., Reference Couture, Penn, Losh, Adolphs, Hurley and Piven2010; Gregory et al., Reference Gregory, Lough, Stone, Erzinclioglu, Martin, Baron-Cohen and Hodges2002; Lough et al., Reference Lough, Kipps, Treise, Watson, Blair and Hodges2006; Muller et al., Reference Muller, Simion, Reviriego, Galera, Mazaux, Barat and Joseph2010; Penn et al., Reference Penn, Corrigan, Bentall, Racenstein and Newman1997; Plana et al., Reference Plana, Lavoie, Battaglia and Achim2014; Samamé, Reference Samamé2013; Snowden et al., Reference Snowden, Gibbons, Blackshaw, Doubleday, Thompson, Craufurd, Foster and Neary2003) and are known to affect psychological wellbeing, it is of clinical importance to investigate how SC deficits can be effectively treated in these patient groups. Therefore, the aim of the present paper is to conduct a meta-analysis on all published evidence regarding the effects of SC interventions on SC and alexithymia in adult neuropsychiatric patients, that is, patients with psychiatric diseases and/or neurological conditions, for which evident neuropsychological disorders have been described.

Furthermore, we investigated the effects of the three different treatment types (targeted, comprehensive, and broad-based) on SC and alexithymia, both in the general population of neuropsychiatric patients as well as for specific patient groups. To our knowledge, no systematic reviews are available that investigate SC interventions across different patient groups and treatment types. This meta-analysis will be of relevance to clinical and academic professionals, since it provides information about required methods and intensity of SC interventions, and the applicability to different patient groups. The findings of this systematic review can subsequently be used to develop new, evidence-based interventions for the enhancement of SC in other adult neuropsychiatric patient populations.

Methods

Inclusion Criteria

In the current study, SC interventions were defined as psychological, skill-based treatments, designed to ameliorate one of the five SC aspects, described in more detail in the introduction (i.e., emotion perception, social perception, ToM, social functioning, and alexithymia). At least one SC outcome measure needed to be included at post-treatment assessment. Medical interventions (e.g., oxytocin nasal spray, Guastella & MacLeod, Reference Guastella and MacLeod2012) and alternative, non-psychological treatments, such as yoga therapy (Bangalore & Varambally, Reference Bangalore and Varambally2012), and drama therapy (Corbett et al., Reference Corbett, Gunther, Comins, Price, Ryan, Simon and Rios2011; Lerner, Mikami & Levine, Reference Lerner, Mikami and Levine2010) did not meet this definition.

Neuropsychiatric disorders were defined as psychiatric diseases and/or neurological conditions, for which evident neuropsychological problems have been described. Based on this definition, patients with SSD, ASD, dementia, brain injury, or mood and anxiety disorders could be included, whilst for example patients with eating disorders, personality disorders, or etiologically unspecified intellectual disability were excluded. Furthermore, given the influence of cultural differences on (social)cognition (Varnum, Grossman, Kitayama & Nisbett, Reference Varnum, Grossman, Kitayama and Nisbett2010), this study only focussed on patients in Western societies (i.e., Europe – including Turkey, United States, Canada, Australia, and New Zealand). Lastly, studies including patients younger than 18 years or patients with a comorbid diagnosis of substance dependency or abuse were also excluded.

In sum, to be included in this systematic review, studies must have (1) investigated a SC intervention or alexithymia treatment, (2) used at least one behavioural measure of SC as a primary outcome measure at post-treatment assessment, (3) included a sample of adult (>18 years) neuropsychiatric patients, (4) contained a patient control group, (5) used a sample-size of more than one patient per group, (6) investigated patients in Western societies, (7) presented original data (no abstracts, reviews, conference proceedings, research protocols), (8) been published in peer-reviewed journals, and (9) been written in the English language.

Search Methods

All available published literature from January 1, 2003 up to January 1, 2016 was systematically searched using the electronic databases of PubMed, PsycINFO, Web of Knowledge, and Embase. The following search terms (or combinations/truncated versions) were used: ‘social cognition’, ‘affective information processing’, ‘training’, ‘intervention’, ‘rehabilitation’, and ‘treatment’. Additional searches were performed, using the more focussed search terms: ‘autism’, ‘theory of mind’, ‘alexithymia’, ‘brain injury’, or ‘brain damage’. Subsequently, the reference lists of the included studies and relevant review articles were scanned for additional eligible studies.

Selection Procedure

Articles were selected and scrutinised according to the PRISMA guidelines (Preferred Reporting Items of Systematic reviews and Meta-Analyses, Moher, Liberati, Tetzlaff & Altman, Reference Moher, Liberati, Tetzlaff and Altman2009). In Figure 1, the selection procedure is depicted in a flow diagram. All hits were screened on title or abstract by the first author. All citations obviously irrelevant to the topic were directly excluded and duplicates were removed. Subsequently, two of the authors (RLR and EW) independently assessed and selected the remaining studies. Any discrepancies were resolved by discussion between these authors, resulting in consensus.

FIGURE 1 PRISMA flow diagram of selection procedure.

To avoid bias due to duplicate results, studies that used data or patient samples identical to other included studies were excluded. In such cases, RLR and EW discussed the overlapping studies and came to an agreement about which study should be excluded. Here, more recent studies and those with larger sample sizes were preferred over older studies or those reporting preliminary data. Furthermore, one study had to be excluded because the requested information for the meta-analysis was not available in a timely fashion.

Data Extraction

The following data were extracted from the selected studies: population, sample size, design, name and type of intervention, intervention target(s), control group, age of participants, duration and dose of intervention, group size, SC outcome measures, availability of follow-up data, and main findings.

The included intervention studies were divided into three categories: targeted, comprehensive, or broad-based interventions. For the purpose of this review, the following classification was used: Targeted interventions should focus on one SC impairment; comprehensive interventions should focus on two or more SC impairments; and broad-based interventions should focus on one or more SC impairments within other (non-SC) treatment programmes, which themselves could not be classified as targeted or comprehensive.

If studies used more than one control group (e.g., both a wait-list control group and a treatment-as-usual condition), the most frequently used control group was included in the meta-analysis. For studies including more than one SC intervention group, the authors discussed which intervention was included in the meta-analysis. Here, criteria for selection were the focus of the article, the sample size of the two treatment groups, and the additional informative value of the intervention (preference for new interventions over already included interventions).

SC outcome measures were grouped into four domains: emotion perception, social perception, ToM, and social functioning. Measures of social functioning were very diverse, encompassing social behaviour but also non-social activities of daily living. To reduce heterogeneity, in this systematic review only (subscale) scores were included that primarily assessed social behaviour in social interactions. For studies that presented a composite score to reflect SC, only relevant subscores were included. Outcome measures that were specific for the patient group under study (for instance, attributional bias or jumping to conclusions in schizophrenia studies) were not included in the review. For an overview of the included outcome measures, see Table 1. All selected outcome measures had to generate continuous data. Means and standard deviations of post-treatment assessment were selected for the meta-analyses.

TABLE 1 Included Social Cognitive Outcome Measures for Emotion Perception, Social Perception, Theory of Mind, and Social functioning

Data Analysis

MetaWin version 2.1 (www.metawinsoft.com) was used to calculate Hedges’ g based on post-treatment means (or adjusted means) and standard deviations. If lower scores represented a better performance, scores were multiplied by −1 before being entered into MetaWin. Subsequently, pooled standardised mean differences and variances were calculated per study for a total SC score and for the four SC domains. Positive values indicated improvement. When studies included more than one outcome measure per domain, the standardised mean differences and their variances were averaged to avoid studies with multiple outcome measures having more influence in the analyses. The pooled standardised mean differences and sample sizes were entered into RevMan version 5.3 (www.tech.cochrane.org/revman). The inverse-variance random-effects method was used, since it was assumed that the studies were estimating different, yet related, intervention effects (Deeks, Higgins & Altman, Reference Deeks, Higgins, Altman, Higgins and Green2008).

First, the overall effect of the three treatment types (targeted, comprehensive, broad-based) on SC was studied. Subgroup analyses were performed for the effects of treatment type on SC for the different patient populations.

Heterogeneity of intervention effects was assessed by the χ 2 test. The I 2 statistic was used to quantify the inconsistency, reflecting the percentage of the variability in effect estimates that is due to heterogeneity rather than chance (Deeks et al., Reference Deeks, Higgins, Altman, Higgins and Green2008). A heterogeneity over 50% was considered substantial. As an estimate of the between-study variance in random-effects meta-analyses, τ 2 was presented. The square root of τ 2 represents the estimated standard deviation of underlying effects across studies (Deeks et al., Reference Deeks, Higgins, Altman, Higgins and Green2008).

In order to address a potential publication bias, fail-safe N were calculated using the method of Rosenthal (Reference Rosenthal1979). The PEDro-P scale (available on the website of PsycBITE, www.psycbite.com) was used as a measure of internal validity and methodological quality of the included studies (total score ranging from 0 to 10). Studies were scored by two of the authors (RLR and EW) in order to generate consensus ratings. Maher, Sherrington, Herbert, Moseley, and Elkins (Reference Maher, Sherrington, Herbert, Moseley and Elkins2003) indicated that the reliability of the total PEDro score, based on consensus judgements, is acceptable. They concluded that the scale has sufficient reliability for use in systematic reviews.

Results

Results of the Search

The initial systematic searches of the databases in 2013 yielded 3,676 hits. After a first screening based on titles and the removal of duplicates 341 records remained. Reasons for exclusion were, for example, the use of animal subjects or the evaluation of a pharmacological intervention. After independent screening of the 341 abstracts by authors RLR and EW, 75 full-text articles were selected for closer reading. Subsequently, additional searches for the years 2014 and 2015 were performed, resulting in 45 full-text articles that were assessed for eligibility. Last, the reference lists of the selected studies and relevant review articles were searched. This resulted in another 46 full-text articles that were assessed for eligibility. Of the 166 articles that were potentially eligible for inclusion, 41 studies were finally included. The majority of the studies was excluded because one or more of the inclusion criteria was not met (k=122) and four studies were excluded due to overlap with other included studies.

In 13 studies, additional information for the meta-analysis was required and the corresponding authors were contacted by e-mail (Bechi et al., Reference Bechi, Spangaro, Bosia, Zanoletti, Fresi, Buonocore and Cavallaro2013, Reference Bechi, Bosia, Spangaro, Buonocore, Cocchi, Pigoni and Cavallaro2015; Combs et al., Reference Combs, Adams, Penn, Roberts, Tiegreen and Stem2007; Eack et al., Reference Eack, Greenwald, Hogarty, Cooley, DiBarry, Montrose and Keshavan2009; Fuentes, Garcia, Ruiz, Soler & Roder, Reference Fuentes, Garcia, Ruiz, Soler and Roder2007; Gil-Sanz et al., Reference Gil-Sanz, Diego-Lorenzo, Bengochea-Seco, Arrieta-Rodríguez, Lastra-Martínez, Sánchez-Calleja and Álvarez-Soltero2009; Hogarty et al., Reference Hogarty, Flesher, Ulrich, Carter, Greenwald, Pogue-Geile and Zorretich2004; Horan et al., Reference Horan, Kern, Tripp, Hellemann, Wynn, Bell and Green2011; Lindenmayer et al., Reference Lindenmayer, McGurk, Khan, Kaushik, Thanju, Hoffman and Herrmann2013; Mazza et al., Reference Mazza, Lucci, Pacitti, Pino, Mariano, Cassacchia and Roncone2010; Rocha & Queirós, Reference Rocha and Queirós2013; Roncone et al., Reference Roncone, Mazza, Frangou, De Risio, Ussorio, Tozzini and Casacchia2004; Veltro et al., Reference Veltro, Mazza, Vendittelli, Alberti, Casacchia and Roncone2011). The requested information was received from the majority of the authors, with exception of three studies. One study had to be excluded due to missing information.

Description of Included Studies

Table 2 shows a detailed description of the study characteristics. Forty-one studies were included in the review and meta-analyses. The dates of publication ranged from 2003 to 2015. In the article of Golan and Baron-Cohen (Reference Golan and Baron-Cohen2006), two studies were reported that had been performed in different patient samples. Therefore, both experiments were included as separate studies in the meta-analysis. The majority of studies (k=33) used a randomised controlled trial design. In eight studies, a quasi-experimental design was used (Bechi et al., Reference Bechi, Riccaboni, Ali, Fresi, Buonocore, Bosia and Cavallaro2012; Combs et al., Reference Combs, Adams, Penn, Roberts, Tiegreen and Stem2007; Golan & Baron-Cohen, Reference Golan and Baron-Cohen2006, exp. 2; Lahera et al., Reference Lahera, Benito, Montes, Fernández-Liria, Olbert and Penn2013; McDonald et al., Reference McDonald, Tate, Togher, Bornhofen, Long, Gertler and Bowen2008; Roberts & Penn, Reference Roberts and Penn2009; Rocha & Queirós, Reference Rocha and Queirós2013; Turner-Brown, Perry, Dichter, Bodfish & Penn, Reference Turner-Brown, Perry, Dichter, Bodfish and Penn2008).

TABLE 2 Characteristics of the 41 Included Studies

Note: SSD = schizophrenia spectrum disorders; ASD = autism spectrum disorders; ABI = acquired brain injury; B = broad-based intervention; C = Comprehensive intervention; T = Targeted intervention; TAU = treatment as usual; NI = no intervention; NSCI = no social cognitive intervention; SCI = other social cognitive intervention; Nt = N treatment group; Nc = N control group; EP = emotion perception, ToM = theory of mind; SP = social perception, SF = social functioning, POFA = Pictures of Facial Affect; PST = ToM Picture Sequencing Task; FENT = Facial Expression Naming Task; FEMT = Facial Expression Matching Task; TASIT = The Awareness of Social Inference Test; FES/DT = Facial Expression Same/Different Task; FEIT = Face Emotion Identification Test; FEDT = Face Emotion Discrimination Test; SPS = Social Perception Scale; HT = Hinting Task; SFS = Social Functioning Scale, social withdrawal & interpersonal behavior; MSCEIT = Mayer–Salovey–Caruso Emotional Intelligence Test, managing emotions; CFER = Computerised test of Facial Emotion Recognition; CAM = Cambridge Mindreading Face-Voice Battery; RMET = Reading the Mind in the Eyes Task; RMVT = Reading the Mind in the Voice Task; RMFT = Reading the Mind in the Film Task; PONS = Half-Profile of Nonverbal Sensitivity; ER-40: Emotion Recognition 40; PSP = Personal and Social Performance Scale, personal and social relationships; EAT = Emotion Attribution Task; EQ = Empathy Questionnaire; SPSS = Social Performance Survey Schedule; BRISS-R PDBS/PCSS = Behavioural Referenced Rating System of Intermediate Social Skills – Revised Partner Directed Behaviour Scale/Personal Conversational Style Scale; LEAS = Levels of Emotional Awareness Scale; DANVA2 AF/AP = Diagnostic Assessment of Nonverbal Affect 2- Adult Faces/Adult Paralanguage; BAFQ = Brock Adaptive Functioning Questionnaire; SSPA = Social Skills Performance Assessment; ERT-40- Emotion Recognition Test-40 faces edition; OSCARS = Observable Social Cognition: A Rating Scale; GSFS = Global Social Functioning Scale; LSP = Life Skills Profile, social contact; ERT = Emotion Recognition Task; AI: Assertion Inventory; SSIT = Simulated Social Interaction Test; JCFEE = Japanese and Caucasian Facial Expression Emotion; VERT-K = Vienna Emotion Recognition Task; UOT = Unexpected Outcomes Test; SCSQ = Social Communication Skills Questionnaire; GVEESS = Geneva Vocal Emotion Expression Stimulus; RPT = Role Play Task; EIST = Emotional Inference from Stories Test; IRI = Interpersonal Reactivity Index, perspective taking and empathic concern.

The studies included in total 1,508 participants (794 patients in intervention groups and 714 in control groups), involving patients with SSD (schizophrenia, schizoaffective disorder, schizoaffective psychosis, schizophreniform disorder, delusional disorder, psychosis not otherwise specified, k=30), ABI (mainly including patients with traumatic brain injury, k=6), and ASD (Autism, Asperger syndrome, high-functioning autism, k=4). One study included a population of patients with bipolar or schizoaffective disorder. The mean age of patients in the included studies ranged from 24.4 (Mazza et al., Reference Mazza, Lucci, Pacitti, Pino, Mariano, Cassacchia and Roncone2010) to 51.0 (Horan et al., Reference Horan, Kern, Tripp, Hellemann, Wynn, Bell and Green2011). In almost all studies, the number of men was higher than women. Sample sizes varied widely from 10 patients (Bölte et al., Reference Bölte, Feineis-Matthews, Prvulovic, Hubl, Dierks and Poustka2006; Bornhofen & McDonald, Reference Bornhofen and McDonald2008b) to 140 (Mueller, Schmidt & Roder, Reference Mueller, Schmidt and Roder2015).

Table 2 shows the consensus ratings on the PEDro-P scale. Most studies (k=16) received a score of 5 out of 10 points, which was also the average score over all 41 studies. The study with the lowest score (a PEDro-P total score of 2 points) concerned a pilot study (Turner-Brown et al., Reference Turner-Brown, Perry, Dichter, Bodfish and Penn2008), explaining why its methodological quality was considered to be lower than that of other studies. Four studies received the highest score of 7 out of 10 points (McDonald et al., Reference McDonald, Togher, Tate, Randall, English and Gowland2013; Mueller et al., Reference Mueller, Schmidt and Roder2015; Neumann et al., Reference Neumann, Babbage, Zupan and Willer2014; Veltro et al., Reference Veltro, Mazza, Vendittelli, Alberti, Casacchia and Roncone2011). It should be noted that these studies could never receive the maximum number of 10 points, because blinding of the therapists who administer the treatment is not possible in most psychological intervention studies (item 6 of the PEDro-P scale). Therefore, the studies could only receive a maximum score of 9 points. Moreover, only two studies met the criterion of blinding all participants (Golan et al., Reference Golan, Baron-Cohen and Hill2006, experiment 1; Golan et al., Reference Golan, Baron-Cohen and Hill2006, experiment 2).

All interventions could be classified as broad-based (k=10), comprehensive (k=16), or targeted interventions (k=15). Some interventions were evaluated by multiple studies: SCIT (Combs et al., Reference Combs, Adams, Penn, Roberts, Tiegreen and Stem2007; Lahera et al., Reference Lahera, Benito, Montes, Fernández-Liria, Olbert and Penn2013; Roberts & Penn, Reference Roberts and Penn2009; Roberts et al., Reference Roberts, Combs, Willoughby, Mintz, Gibson, Rupp and Penn2014; Tas, Danaci, Cubukcuoglu & Brüne, Reference Tas, Danaci, Cubukcuoglu and Brüne2012; Taylor et al., Reference Taylor, Cella, Csipke, Heriot-Maitland, Gibbs and Wykes2015; Turner-Brown et al., Reference Turner-Brown, Perry, Dichter, Bodfish and Penn2008), CET (Eack et al., Reference Eack, Greenwald, Hogarty, Cooley, DiBarry, Montrose and Keshavan2009; Hogarty et al., Reference Hogarty, Flesher, Ulrich, Carter, Greenwald, Pogue-Geile and Zorretich2004), Mind Reading (Golan & Baron-Cohen, Reference Golan and Baron-Cohen2006; Lindenmayer et al., Reference Lindenmayer, McGurk, Khan, Kaushik, Thanju, Hoffman and Herrmann2013), TAR (Sachs et al., Reference Sachs, Winklbaur, Jagsch, Lasser, Kryspin-Exner, Frommann and Wölwer2012, Wölwer et al., Reference Wölwer, Frommann, Halfmann, Piaszek, Streit and Gaebel2005; Wölwer & Frommann, Reference Wölwer and Frommann2011), Social Cognitive Skills Training (SCST, Horan et al., Reference Horan, Kern, Shokat-Fadai, Sergi, Wynn and Green2009, Reference Horan, Kern, Tripp, Hellemann, Wynn, Bell and Green2011), SST (McDonald et al., Reference McDonald, Tate, Togher, Bornhofen, Long, Gertler and Bowen2008; Rus-Calafell, Gutiérrez-Maldonado, Ortega-Bravo, Ribas-Sabaté & Caqueo-Urízar, Reference Rus-Calafell, Gutiérrez-Maldonado, Ortega-Bravo and Ribas-Sabaté2013), Emotion and ToM Imitation Training (ETIT: Mazza et al., Reference Mazza, Lucci, Pacitti, Pino, Mariano, Cassacchia and Roncone2010; Pino, Pettinelli, Clementi, Gianfelice & Mazza, Reference Pino, Pettinelli, Clementi, Gianfelice and Mazza2015), Theory of Mind Intervention (ToMI: Bechi et al., Reference Bechi, Spangaro, Bosia, Zanoletti, Fresi, Buonocore and Cavallaro2013, Reference Bechi, Bosia, Spangaro, Buonocore, Cocchi, Pigoni and Cavallaro2015), and the Social Cognition Training Program (SCTP: Gil-Sanz et al., Reference Gil-Sanz, Diego-Lorenzo, Bengochea-Seco, Arrieta-Rodríguez, Lastra-Martínez, Sánchez-Calleja and Álvarez-Soltero2009, Reference Gil-Sanz, Fernández-Modamio, Bengochea-Seco, Arrieta-Rodríguez and Pérez-Fuentes2014).

Overall, emotion perception, specifically or amongst other SC subdomains, was the most frequently investigated treatment target (k=34). Twenty-five studies aimed to ameliorate ToM, 13 focussed on social perception, and six studies aimed to improve social functioning. No intervention studies for remediating alexithymic problems could be included, because the studies focussed on non-neuropsychiatric participants (for instance, somatic patients), used alexithymia as a moderator of treatment success rather than as an outcome measure, or did not meet the other inclusion criteria (see e.g., Cameron et al., Reference Cameron, Ogrodniczuk and Hadjipavlou2014; Samur et al, 2013; Vanheule, Verhaeghe & Desmet, Reference Vanheule, Verhaeghe and Desmet2011 for reviews on alexithymia interventions). Targeted interventions predominantly focussed on training emotion perception (k=13), comprehensive interventions mostly trained emotion perception (k=16) combined with ToM (k=15), and broad-based interventions almost exclusively combined neurocognitive training (k=8) or social skills training (k=2) with ToM treatment (k=9).

Intervention duration varied widely from a single session in one week (Combs et al., Reference Combs, Tosheva, Penn, Basso, Wanner and Laib2008) to a combination of 56 sessions SC training with 75 sessions neurocognitive training for 104 weeks (Hogarty et al., Reference Hogarty, Flesher, Ulrich, Carter, Greenwald, Pogue-Geile and Zorretich2004). The intensity of treatments, expressed in treatment hours, ranged from 2 hours (Kayser, Sarfati, Besche & Hardy-Baylé, Reference Kayser, Sarfati, Besche and Hardy-Baylé2007) to 159 hours (Hogarty et al., Reference Hogarty, Flesher, Ulrich, Carter, Greenwald, Pogue-Geile and Zorretich2004). Session duration was also variable and commonly ranged between 45 (Wölwer et al., Reference Wölwer, Frommann, Halfmann, Piaszek, Streit and Gaebel2005) and 180 minutes (Garcia, Fuentes, Ruiz, Gallach, & Roder, Reference Garcia, Fuentes, Ruiz, Gallach and Roder2003; McDonald et al., Reference McDonald, Tate, Togher, Bornhofen, Long, Gertler and Bowen2008; Russel et al., Reference Russell, Green, Simpson and Coltheart2008) per session. Group size ranged between an individual setting (Combs et al., Reference Combs, Tosheva, Penn, Basso, Wanner and Laib2008; Golan & Baron-Cohen, Reference Golan and Baron-Cohen2006; Radice-Neumann, Zupan, Tomita & Willer, Reference Radice-Neumann, Zupan, Tomita and Willer2009; Russell, Green, Simpson & Coltheart, Reference Russell, Green, Simpson and Coltheart2008) and groups of up to 12 participants (Lahera et al., Reference Lahera, Benito, Montes, Fernández-Liria, Olbert and Penn2013; Veltro et al., Reference Veltro, Mazza, Vendittelli, Alberti, Casacchia and Roncone2011). Intervention and session duration, intensity, and group size were not specified in some studies (Bölte et al., Reference Bölte, Feineis-Matthews, Prvulovic, Hubl, Dierks and Poustka2006; Eack et al., Reference Eack, Greenwald, Hogarty, Cooley, DiBarry, Montrose and Keshavan2009; Gil Sanz et al., Reference Gil-Sanz, Diego-Lorenzo, Bengochea-Seco, Arrieta-Rodríguez, Lastra-Martínez, Sánchez-Calleja and Álvarez-Soltero2009; Lindenmayer et al., Reference Lindenmayer, McGurk, Khan, Kaushik, Thanju, Hoffman and Herrmann2013; Mazza et al., Reference Mazza, Lucci, Pacitti, Pino, Mariano, Cassacchia and Roncone2010; Roberts & Penn, Reference Roberts and Penn2009; Rocha & Queirós, Reference Rocha and Queirós2013; Sachs et al., Reference Sachs, Winklbaur, Jagsch, Lasser, Kryspin-Exner, Frommann and Wölwer2012; Taylor et al., Reference Taylor, Cella, Csipke, Heriot-Maitland, Gibbs and Wykes2015). In general, targeted interventions were the least intensive training type, in terms of treatment duration and intensity. Broad-based interventions were most intensive.

The activities of the patients in the control groups were diverse. Sixteen studies included a treatment as usual condition (e.g., illness management, pharmacotherapy), 11 studies included no intervention (e.g., waiting list, deferred treatment) as control group, 11 studies used an intervention that was not SC in nature (e.g., neurocognitive intervention, problem solving skills training), two studies used another SC intervention, and for one study the nature of the control group was not specified.

A variety of SC outcome measures was used in the selected studies (see Table 1 for an overview). For measuring emotion perception, the following tests were administered most frequently: the Face Emotion Identification Test (FEIT, Kerr & Neale, Reference Kerr and Neale1993, k=12), the Face Emotion Discrimination Test (FEDT, Kerr & Neale, Reference Kerr and Neale1993, k=5), the Reading the Mind in the Eyes Task Revised (Baron-Cohen, Wheelwright, Hill, Raste & Plumb, Reference Baron-Cohen, Wheelwright, Hill, Raste and Plumb2001, k=5), and The Awareness of Social Inference Test-Part 1 (TASIT-1, McDonald, Flanagan, Rollins & Kinch, Reference McDonald, Flanagan, Rollins and Kinch2003; McDonald et al., Reference McDonald, Bornhofen, Shum, Long, Saunders and Neulinger2006, k=5). To assess social perception, the Social Perception Scale (SPS, Garcia et al. Reference Garcia, Fuentes, Ruiz, Gallach and Roder2003, k=4) and Half-Profile of Non-verbal Sensitivity (PONS, Ambady, Hallhan, & Rosenthal, Reference Ambady, Hallahan and Rosenthal1995; Rosenthal, Hall, DiMatteo, Rogers & Archer, Reference Rosenthal, Hall, DiMatteo, Rogers and Archer1979, k=2) were used most frequently. Most commonly used measures of ToM included the Hinting Task (Corcoran, Mercer & Firth, Reference Corcoran, Mercer and Firth1995, k=10), TASIT-Parts 2 and 3 (McDonald et al., Reference McDonald, Flanagan, Rollins and Kinch2003, Reference McDonald, Bornhofen, Shum, Long, Saunders and Neulinger2006, k=6), and the Reading the Mind in the Eyes Task Revised (Baron-Cohen et al., Reference Baron-Cohen, Wheelwright, Hill, Raste and Plumb2001, k=5). Regarding social functioning, the subtest managing emotions of the Mayer–Salovey–Caruso Emotional Intelligence Test (MSCEIT, Mayer, Salovey & Caruso, Reference Mayer, Salovey and Caruso2002; Mayer, Salovey, Caruso & Sitarenios, Reference Mayer, Salovey, Caruso and Sitarenios2003, k=4) was used most commonly, but also the Social Functioning Scale (SFS, Birchwood, Smith, Cochrane, Wetton & Copestake, Reference Birchwood, Smith, Cochrane, Wetton and Copestake1990, k=4), the Personal and Social Performance Scale (PSP, Hsieh et al., Reference Hsieh, Huang, Wang, Liu, Bai, Chen and Yang2011; Morosini, Magliano, Brambilla, Ugolini & Piolo, Reference Morosini, Magliano, Brambilla, Ugolini and Pioli2000, k=3), and the Social Skills Performance Assessment (SSPA, Patterson, Moscona, McKibbin, Davidson & Jeste, Reference Patterson, Moscona, McKibbin, Davidson and Jeste2001, k=3) were administered frequently.

Ten studies performed a follow-up assessment after a non-treatment period (Bornhofen & McDonald, Reference Bornhofen and McDonald2008a; Bornhofen & McDonald, Reference Bornhofen and McDonald2008b; Combs et al., Reference Combs, Tosheva, Penn, Basso, Wanner and Laib2008; Hogarty et al., Reference Hogarty, Flesher, Ulrich, Carter, Greenwald, Pogue-Geile and Zorretich2004; Hogarty, Greenwald, & Eack, Reference Hogarty, Greenwald and Eack2006; McDonald et al., Reference McDonald, Togher, Tate, Randall, English and Gowland2013; Mueller et al., Reference Mueller, Schmidt and Roder2015; Neumann, Babbage, Zupan & Willer, Reference Neumann, Babbage, Zupan and Willer2014; Radice-Neumann et al., Reference Radice-Neumann, Zupan, Tomita and Willer2009; Roberts et al., Reference Roberts, Combs, Willoughby, Mintz, Gibson, Rupp and Penn2014; Russell et al., Reference Russell, Green, Simpson and Coltheart2008). Follow-up test intervals were highly variable and ranged from one week post-treatment (Combs et al., Reference Combs, Tosheva, Penn, Basso, Wanner and Laib2008; Russell et al., Reference Russell, Green, Simpson and Coltheart2008) to three years post-treatment (Hogarty et al., Reference Hogarty, Flesher, Ulrich, Carter, Greenwald, Pogue-Geile and Zorretich2004, data were published in Hogarty et al., Reference Hogarty, Greenwald and Eack2006). It is notable that seven of the ten follow-up studies concerned targeted interventions, one comprehensive intervention, and two broad-based interventions. Overall, eight studies found maintenance effects at follow-up (mostly compared with baseline) at one or more outcome measures.

Overall Effects of the SC Interventions

First, we present the overall results of the meta-analyses, investigating the effects of SC interventions on SC, followed by the specific effects on the four SC subdomains. Next, we describe the effects of the three different treatment types on SC. Finally, the intervention effects for the three patient groups are reported. Tables 3 and 4 provide an overview of all the effects and test statistics of the meta-analyses.

TABLE 3 Sample Sizes, Standardised Mean Differences, Test Statistics, and Fail-safe N of the Included Social Cognitive Intervention Studies Organised by Intervention Type and Outcome Domain

Note: k, number of studies; N, number of patients; Nt, number of patients in treatment group; Nc, number of patients in control group; Z, significance test; χ 2, heterogeneity statistic; Nfs, number of null findings needed for a non-significant combined effect size calculated by the method of Rosenthal (Reference Rosenthal1979).

*p ≤ .05, **p < .01, ***p < .001.

TABLE 4 Sample Sizes, Standardised Mean Differences, Test Statistics, and Fail-safe N of the Included Social Cognitive Intervention Studies Organised by Patient Group

Note: k, number of studies; N, number of patients; Nt, number of patients in treatment group; Nc,

number of patients in control group; Z, significance test; χ 2, heterogeneity statistic; Nfs, number of null findings needed for a non-significant combined effect size calculated by the method of Rosenthal (Reference Rosenthal1979).

*p ≤ .05, **p < .01, ***p < .001.

The main meta-analysis investigated the effect of the interventions on SC in general. The meta-analysis showed evidence of a moderate-to-large intervention effect (SMD=.71, 95% CI=.56–.86, Z=9.15, p < .001) (Figure 2). Regarding the SC subdomains, the meta-analysis showed moderate-to-large intervention effects on emotion perception (SMD=.79, 95% CI=.60–.98, Z=8.07, p < .001). Moderate effects were found on ToM, social perception, and social functioning (SMDToM=.64, 95% CI=.40–.89, Z=5.18, p < .001; SMDsocial perception = .52, 95% CI=−.01–1.06, Z=1.93, p=.05; SMDsocial functioning=.61, 95% CI=.42–.81, Z=6.30, p < .001).

FIGURE 2 Forest plot of all interventions with social cognition as outcome variable.

Effects of Targeted Interventions

The meta-analysis resulted in a large effect on SC (SMD=.89, 95% CI=.58–1.20, Z=5.67, p < .001) (Figure 3). Regarding the SC subdomains, targeted interventions had large effects on emotion perception, social perception, and ToM (SMDemotion perception=.83, 95% CI=.50–1.16, Z=4.92, p < .001; SMDsocial perception=1.33, 95% CI=.34–2.33, Z=2.63, p < .01; SMDToM=.86, 95% CI=.29–1.43, Z=2.94, p < .01). A borderline significant, moderate effect was found on social functioning (SMD=.52, 95% CI=−.01–1.05, Z=1.93, p=.05).

FIGURE 3 Forest plot of targeted interventions with social cognition as outcome variable.

Effects of Comprehensive Interventions

The meta-analysis resulted in a moderate effect size on SC (SMD=.61, 95% CI=.35–.87, Z=4.65, p < .001) (Figure 4). Regarding the SC subdomains, comprehensive interventions had a large effect on emotion perception (SMD=.81, 95% CI=.52–1.15, Z=5.17, p < .001). For ToM and social functioning, moderate effects were found (SMDToM=.58, 95% CI=.21–.94, Z=3.10, p < .01; SMDsocial functioning=.56, 95% CI=.27–.84, Z=3.86, p < .001). The small effect on social perception was not significant (SMD=.46, 95% CI=−.31–1.24, Z=1.17, p=.24).

FIGURE 4 Forest plot of comprehensive interventions with social cognition as outcome variable.

Effects of Broad-Based Interventions

An overall moderate effect size on SC was found for the broad-based interventions (SMD=.65, 95% CI=.43–.87, Z=5.81, p < .001) (Figure 5). Regarding the four SC subdomains, broad-based interventions resulted in a moderate-to-large effect on social functioning (SMD=.74, 95% CI=.40–1.08, Z=4.25, p < .001). Moderate effects were found on emotion perception and ToM (SMDemotion perception=.63, 95% CI=.28–.98, Z=3.50, p < .001; SMDToM=.64, 95%=.34–.93, Z=4.26, p < .001). Only a small, but non-significant effect was found for social perception, based on only one broad-based intervention (SMD=.33, 95% CI=−.01–.66, Z=1.91, p=.06).

FIGURE 5 Forest plot of broad-based interventions with social cognition as outcome variable.

Effects of the SC Interventions Per Patient Group

Table 4 shows all effects sizes and test statistics for the three patient groups. In patients with SSD, targeted interventions had a large effect on SC (SMD=1.20, 95% CI=.87–1.54, Z=7.05, p < .001), whilst both comprehensive and broad-based interventions had a moderate effect on SC (SMDcomprehensive=.63, 95% CI=.34–.92, Z=4.22, p < .001; (SMDbroad-based=.67, 95% CI=.43–.90, Z=5.52, p < .001).

Regarding patients with ASD, no significant effects on SC were found for both targeted and comprehensive interventions (SMDtargeted=.41, 95% CI=−.18–1.00, Z=1.36, p=.17; SMDcomprehensive=.53, 95% CI=−.69–1.74, Z=.85, p = .40). No broad-based interventions for patients with ASD met the criteria for inclusion.

In patients with ABI, a moderate effect of targeted interventions was found on SC (SMD=.56, 95% CI=.11–1.01, Z=2.42, p=.02). No significant effect on SC was found for broad-based interventions (SMD=.47, 95% CI=−.32–1.25, Z=1.17, p=.24). No comprehensive interventions for patients with ABI met the inclusion criteria.

Discussion

To our knowledge, this is the first systematic review that meta-analysed controlled intervention studies in neuropsychiatric patients targeting SC. The overall results showed that the selected SC interventions had a moderate-to-large effect on improving SC in general. The interventions were most effective in improving emotion perception, whilst ToM, social perception, and social functioning could be effectively improved by these treatments as well, with moderate effect sizes. The moderate-to-large effect size for emotion perception is in accordance with the findings from previous systematic reviews in patients with SSD (Fiszdon & Reddy, Reference Fiszdon and Reddy2012; Kurtz & Richardson, Reference Kurtz and Richardson2011). The effects for ToM and social perception found in the current meta-analyses, being larger than in the aforementioned reviews, could be explained both by the inclusion of more recent studies as well as the inclusion of intervention studies for other neuropsychiatric patient populations. Overall, the meta-analyses showed that targeted interventions were most effective, with a large effect size, in improving SC, followed by broad-based and comprehensive interventions, both with moderate effect sizes. Social perception and ToM were trained most effectively by targeted interventions, emotion perception was trained equally effective by both targeted as well as comprehensive treatments, and social functioning by broad-based interventions.

Targeted interventions were most effective in improving SC and showed a large effect on emotion perception. However, these interventions almost exclusively trained emotion perception, often evaluated by outcome measures typically covering this particular process. The large, positive effects on emotion perception may thus result from ‘training to the task’ rather than being the result of transfer to untrained tasks. The same phenomenon could be identified in the only targeted intervention study focussing on social perception (Garcia et al., Reference Garcia, Fuentes, Ruiz, Gallach and Roder2003). The large effect for ameliorating social perception that was found in this study again raises concerns regarding ‘training to the task’. Surprisingly, targeted interventions also had a large effect on ToM. Here, only one of the seven targeted interventions measuring ToM was a ToM-intervention (Kayser et al., Reference Kayser, Sarfati, Besche and Hardy-Baylé2007), the other six focussed on improving emotion perception (Bornhofen & McDonald, Reference Bornhofen and McDonald2008a, Reference Bornhofen and McDonald2008b; Golan & Baron-Cohen, Reference Golan and Baron-Cohen2006, experiment 1; Golan & Baron-Cohen, Reference Golan and Baron-Cohen2006, experiment 2; Neumann et al., Reference Neumann, Babbage, Zupan and Willer2014; Wölwer & Fromman, Reference Wölwer and Frommann2011). Whilst this finding suggests that training emotion perception may improve ToM abilities as well, generally, targeted interventions were not able to effectively improve social functioning. However, although only two targeted interventions included a measure of social functioning at post-treatment assessment, a marginally significant, moderate treatment effect was found in the current study.

Comprehensive interventions had a moderate effect on improving SC. The effect size on emotion perception was large, and the effects on ToM and social functioning were moderate. As to the latter, it should be noted that comprehensive interventions, as compared to targeted interventions, are generally performed using longer treatment duration and higher treatment frequency. This relatively higher intensity of the comprehensive interventions may have caused this effect on daily social functioning. In contrast, the comprehensive interventions in the meta-analysis were not able to effectively improve social perception. This is a striking finding, because 6 out of the 16 comprehensive interventions focussed on social perception. After further inspection of these studies, it appeared that only four interventions measured social perception after treatment. Hence, the effects of the social perception modules in comprehensive interventions could be underestimated.

Broad-based interventions had a moderate effect on improving SC in general. These interventions showed a moderate-to-large effect size in improving social functioning. Broad-based interventions were more effective in improving social functioning than targeted and comprehensive interventions. One explanation for this effect may be found in the content of the broad-based interventions. Combining SC treatment with training of neurocognition or social skills may have resulted in more robust effects and a better generalisation to daily life. A second explanation for the transfer effects of broad-based interventions to daily social functioning concerns the intensity of the training. In general, treatment duration of broad-based interventions is considerably longer than that of targeted and comprehensive interventions, and broad-based interventions include more sessions. Roberts et al. (Reference Roberts, Combs, Willoughby, Mintz, Gibson, Rupp and Penn2014) suggested that more frequent sessions may be more effective for maximising treatment benefits. It could be hypothesised that patients participating in more intensive intervention programmes have had more opportunities to practise and incorporate new knowledge and skills in their daily life. The importance of practise opportunities was also discussed by Fiszdon and Reddy (Reference Fiszdon and Reddy2012). They suggested that higher- order SC functions might be more impacted by intensive treatment. Apart from their impact on social functioning, broad-based interventions were moderately effective in improving ToM and emotion perception. Notably, of the broad-based intervention studies that included social perception as a target of treatment, only one actually measured social perception. Here, the effect was small and not statistically significant.

Most studies have been performed in patients with SSD. The small number of studies on adult patients with ASD was somewhat surprising. That is, during the literature search, many SC intervention studies for patients with ASD were identified, but almost all of the interventions focussed on children and were therefore not eligible (see e.g. Fletcher-Watson et al., Reference Fletcher-Watson, McConell, Manola and McConachie2014). Furthermore, only in the group of patients with SSD, all three intervention types were studied. For patients with ASD and ABI, mainly targeted interventions have been employed. In these latter patient groups, more research is needed on the effects of (other) SC interventions. Targeted interventions appeared to be most effective for training SC in patients with SSD, with large effect sizes. This finding is in accordance with the results from previous reviews (Choi et al., Reference Choi, Kim, Lee and Green2009; Horan et al., Reference Horan, Kern and Green2008; Kurtz et al., 2011; Mueller et al., Reference Mueller, Schmidt and Roder2013; Statucka & Walder, Reference Statucka and Walder2013). Broad-based interventions were slightly more effective than comprehensive interventions, both with moderate effect sizes.

In patients with ASD, small to moderate effects on SC were found for targeted and comprehensive interventions, but these effects were not statistically significant. No broad-based interventions for SC in ASD could be included in the meta-analyses. The non-significant results could reflect a power problem in the original studies. This idea is strengthened by the fact that the present lack of significant treatment effects contrasts with the results of the systematic review of Bishop-Fitzpatrick et al. (Reference Bishop-Fitzpatrick, Minshew and Eack2013), in which psychosocial and SC interventions were shown to be effective in an adult ASD population. Their systematic review included more studies (k=13 with N=291 patients), hence had more statistical power. However, also non-controlled studies and case-studies were included, which could in turn have led to an overestimation of the actual effects. The meta-analysis of Fletcher-Watson et al. (Reference Fletcher-Watson, McConell, Manola and McConachie2014) also showed larger effect sizes in a mixed population of children and adults with ASD.

Regarding patients with ABI, only targeted interventions had a moderate, significant effect on SC. In one study that investigated the effects of a broad-based intervention, effects were small-moderate, but statistically insignificant. Previous review articles regarding patients with ABI also found positive indications for the effectiveness of SC interventions on SC (Braden, Reference Braden, McDonald, Togher and Code2014; Driscoll et al., Reference Driscoll, Dal Monte and Grafman2011; Manly & Murphy, Reference Manly and Murphy2012).

Only 10 of the 41 studies in the meta-analyses included a follow-up assessment after treatment had ended. Although the interval durations were highly variable, it appeared that most interventions were able to maintain at least one of the effects at follow-up. The majority of the follow-up assessments were performed as an evaluation of a targeted intervention, suggesting that focussed and relatively brief interventions are not only effective in improving the performance on several SC tasks directly post-treatment, but that this improvement remains after a period without treatment.

Interestingly, no controlled intervention studies have focussed on the reduction of alexthymia in adult neuropsychiatric patients yet. Most alexithymia intervention studies published so far focussed on healthy participants or individuals with somatic disorders. Moreover, alexithymia was frequently studied as a moderator for treatment success, rather than a primary outcome variable. Since alexithymia has been related to lower levels of quality of life, more problems in social relations, somatic complaints, and psychiatric disorders (Kennedy & Franklin, Reference Kennedy and Franklin2002; Taylor & Bagby, Reference Taylor, Bagby and Widiger2012), it seems to be a very relevant treatment target for future studies.

The results of this meta-analysis have implications for future research. More studies should focus on SC interventions in other neuropsychiatric disorders than SSD, such as in adults with ASD and ABI. Patients with other neuropsychiatric disorders that comprise SC problems may also benefit from SC interventions, such as those with mood or anxiety disorders, neurodegenerative conditions, as well as patients with SC deficits caused by a genetic syndrome. Principally, the large treatment effects of the available interventions show that these are appropriate treatments for enhancing SC, that may also be suitable for adjustment and implementation in new patient groups. Future interventions should also pay attention to alexithymia, given the high correlations with other psychological and somatic problems. Lastly, it is advised to also include measures of social perception to evaluate the effects of an SC intervention.

The results of this study should be interpreted in light of its strengths and weaknesses. Strengths of this meta-analysis include the large sample size of controlled intervention studies (k=41 studies with a total of N=1,508 patients). Also, the fail-safe N for the main meta-analyses showed that a large number of unpublished studies with null findings should exist to result in insignificant effect sizes, which is unlikely. Furthermore, this is the first study that meta-analysed the effects of three different SC treatment types on a population of neuropsychiatric patients instead of one specific patient group. At the same time, this explains the high degree of heterogeneity. A recurrent issue in many meta-analyses is the notable amount of differences found in patient population, intervention type, control group, and intervention content. In the present study, we partly succeeded in reducing this heterogeneity by performing different meta-analyses for the various treatment types and patient populations. Although the three categories of interventions (targeted, comprehensive, and broad-based) are well defined, there is some overlap between the three subtypes and other categorisations can be made. As to the patient groups, only three could be included in the meta-analysis. Although other psychiatric and neurological conditions met the definition of a neuropsychiatric disorder (e.g., mood and anxiety disorders, dementia, or Huntington's disease), the literature search did not return eligible SC intervention studies for these populations, despite the fact that SC disorders have been described in these conditions (Bediou et al., Reference Bediou, Ryff, Mercier, Milliery, Hénaff, D'Amato and Krolak-Salmon2009; Gregory et al., Reference Gregory, Lough, Stone, Erzinclioglu, Martin, Baron-Cohen and Hodges2002; Lough et al., Reference Lough, Kipps, Treise, Watson, Blair and Hodges2006; Plana et al., Reference Plana, Lavoie, Battaglia and Achim2014; Samamé, Reference Samamé2013; Snowden et al., Reference Snowden, Gibbons, Blackshaw, Doubleday, Thompson, Craufurd, Foster and Neary2003). Patients with SSD were overrepresented in this meta-analysis. This may have implications for the generalisation to the overall population of patients with neuropsychiatric disorders. Furthermore, it is conceivable that there are differences in the specific SC problems between the three patient groups, which could have influenced treatment effectiveness.

In conclusion, the current meta-analysis showed that SC interventions are effective in improving SC in neuropsychiatric patients. Targeted interventions are effective in improving task performance of the trained SC domains (mainly emotion perception), but they are also able to positively affect ToM. Follow-up assessments in a small group of mainly targeted interventions suggested that some treatment effects remained after the intervention had ended. Comprehensive interventions were able to improve emotion perception, ToM, and social functioning. The broad-based interventions were especially effective in improving social functioning, probably due to more extensive treatment content and a more intensive design. Although our meta-analytic approach could not isolate effective elements specifically, training of emotion perception appears an important ingredient of effective SC interventions. Treatments should also incorporate social functioning and provide sufficient practise opportunities in daily life in order to optimise generalisation and maintenance of effects.

Financial Support

This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

Conflicts of Interest

None.

Ethical Standards

Not applicable.

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Figure 0

FIGURE 1 PRISMA flow diagram of selection procedure.

Figure 1

TABLE 1 Included Social Cognitive Outcome Measures for Emotion Perception, Social Perception, Theory of Mind, and Social functioning

Figure 2

TABLE 2 Characteristics of the 41 Included Studies

Figure 3

TABLE 3 Sample Sizes, Standardised Mean Differences, Test Statistics, and Fail-safe N of the Included Social Cognitive Intervention Studies Organised by Intervention Type and Outcome Domain

Figure 4

TABLE 4 Sample Sizes, Standardised Mean Differences, Test Statistics, and Fail-safe N of the Included Social Cognitive Intervention Studies Organised by Patient Group

Figure 5

FIGURE 2 Forest plot of all interventions with social cognition as outcome variable.

Figure 6

FIGURE 3 Forest plot of targeted interventions with social cognition as outcome variable.

Figure 7

FIGURE 4 Forest plot of comprehensive interventions with social cognition as outcome variable.

Figure 8

FIGURE 5 Forest plot of broad-based interventions with social cognition as outcome variable.