Research Suggests That Treatments Such as Individual Social Skills Training and Family Interventions
Schizophr Balderdash. 2018 April; 44(3): 475–491.
A Meta-Analysis of Social Skills Training and Related Interventions for Psychosis
David T Turner
1Department of Clinical Psychology, Vrije Universitiet, Amsterdam, Kingdom of the netherlands
Edel McGlanaghy
iiDepartment of Clinical and Health Psychology, School of Health in Social Science, University of Edinburgh, Edinburgh
Pim Cuijpers
1Department of Clinical Psychology, Vrije Universitiet, Amsterdam, The Netherlands
Marking van der Gaag
3Department of Psychiatry, Parnassia Psychiatric Institute, The Hague, The netherlands
Eirini Karyotaki
oneDepartment of Clinical Psychology, Vrije Universitiet, Amsterdam, Holland
Angus MacBeth
2Section of Clinical and Health Psychology, School of Health in Social Scientific discipline, University of Edinburgh, Edinburgh
Abstract
Objective
Bear witness suggests that social skills training (SST) is an efficacious intervention for negative symptoms in psychosis, whereas prove of efficacy in other psychosis symptom domains is limited. The current article reports a comprehensive meta-analytic review of the evidence for SST across relevant outcome measures, control comparisons, and follow-up assessments. The secondary aim of this report was to place and investigate the efficacy of SST subtypes.
Methods
A systematic literature search identified 27 randomized controlled trials including N = 1437 participants. Trials assessing SST against active controls, treatment-as-usual (TAU), and waiting listing control were included. Run a risk of bias was assessed using the Cochrane run a risk of bias assessment tool. A serial of 70 meta-analytic comparisons provided consequence sizes in Hedges' g. Heterogeneity and publication bias were assessed.
Results
SST demonstrated superiority over TAU (g = 0.3), active controls (thou = 0.2–0.iii), and comparators pooled (grand = 0.2–0.3) for negative symptoms, and over TAU (k = 0.iv) and comparators pooled (1000 = 0.iii) for general psychopathology. Superiority was indicated in a proportion of comparisons for all symptoms pooled and social outcome measures. SST subtype comparisons were underpowered, although social-cognitive approaches demonstrated superiority vs comparators pooled. SST treatment effects were maintained at proportion of follow-up comparisons.
Conclusions
SST demonstrates a magnitude of effect for negative symptoms like to those ordinarily reported for cognitive-behavioral therapy (CBT) for positive symptoms, although different CBT, SST is not routinely recommended in treatment guidelines for psychological intervention. SST may take potential for wider implementation. Farther stringent effectiveness enquiry aslope wider pilot implementation of SST in community mental health teams is warranted.
Keywords: social skills preparation, psychosis, schizophrenia, meta-assay
Introduction
Social skills training (SST) is a psychological intervention focused upon the development or improvement of social interaction, social performance, or interpersonal skills, primarily offered to patients diagnosed with schizophrenia-spectrum disorders or psychosis. SST was initially developed in the context of the deinstitutionalization of psychiatric patients returning to the community in the 1970s and utilized behavioral techniques such equally role-play, modeling, coaching, instruction, and feedback in an endeavor to address interpersonal deficits. The literature from this period described SST equally an constructive means of reducing social anxiety, although suggested that improved generalizability to existent-life situations was desirable. i
Since an initial wave of evolution in the 1980s and 1990s, SST has diversified meaning that a range of related interventions may now be subsumed inside the terminology. The term SST, therefore, represents a broader spectrum of related interventions within the contemporary literature. These include approaches focused primarily on social knowledge that may also integrate engineering science. Such approaches differ from the similar cognitive remediation methodology past their focus primarily upon social cognitive process and social perception rather than upon improving neuropsychological variables such as memory, attention, or executive part. 2,iii Similarly, a number of SST approaches assimilate cognitive-behavioral techniques such as cognitive restructuring, although they follow an SST-manner grouping format as opposed to the typical conception-based approach of cognitive-behavioral therapy (CBT). 4 Finally, a number of practically focused approaches integrating SST with psycho-education, life direction skills, and relapse prevention strategies also exist. 5,6
Negative symptoms refer to a specific pattern of commonly observed deficits in psychosis such as passive or apathetic social withdrawal, advice difficulties, blunting of bear on, and rigid or stereotypical thinking. 7 Insufficiently less research has focused upon the treatment of negative symptoms than positive symptoms while fewer targeted interventions take been developed. Only in contempo years have negative symptoms been included equally main outcomes in SST-based interventions since early studies focused on social functioning outcomes. 1 Fusar-Poli et al 8 assessed the efficacy of pharmacological and psychological interventions for negative symptoms in a large meta-analysis and reported a medium effect size for second-generation antipsychotics vs placebo (thou = 0.6, P ≤ .05), whereas their comparison of 10 randomised controlled trial (RCTs) for showtime-generation antipsychotics vs placebo was not significant (g = 0.05, P = .69). Both comparisons displayed a loftier degree of heterogeneity, whereas for psychological interventions pooled, they reported a small-to-medium effect size (thou = 0.4, P ≤ .05) and moderate heterogeneity. The effect size for antidepressants was smaller (g = 0.three, P ≤ .05). The question of whether medication is more than efficacious than psychological interventions pooled is not straightforward because the majority of participants in RCTs for psychological interventions are already maintained on antipsychotic medication which has touch on upon target symptoms. However, this meta-analytic evidence suggests that differences in efficacy betwixt psychological and pharmacological interventions for negative symptoms are small. viii
A recent meta-analysis reported similar small-to-medium upshot sizes (g = 0.3–0.6) in favor of SST when compared to other psychological interventions for negative symptoms in psychosis. 9 Interestingly, the magnitude of the effect size increased with progressive sensitivity analyses to accost hazard of bias suggesting robustness. The UK National Plant for Health and Care Excellence (NICE) guidelines country that SST should not be offered as a specific intervention for psychosis following their conclusion in 2009 that SST did not evidence sufficient superiority over standard care alongside concerns regarding limited generalizability to everyday living, 10 whereas in the United States, guidelines have suggested that SST is not an effective means to reduce symptoms. 11 SST is not routinely integrated within adult clinical psychology or community mental health settings in the United kingdom National Health Service (NHS). CBT is the near widely recommended and integrated psychological intervention for psychosis in the U.k., although many CBT manuals focus primarily on addressing positive rather than negative symptoms of psychosis. 12 Earlier meta-analytic bear witness suggested that CBT may be effective for negative symptoms (g = 0.iv, P < .05). 13 This event was not, however, maintained when the authors excluded nonrandomized studies and could non exist replicated in a more recent meta-analysis when negative symptoms were primary (m = 0.ii, P > .05) or secondary (g = 0.1, P > .05) outcomes. 14 The consideration that SST appears relatively more efficacious than CBT in reducing negative symptoms and has produced effect sizes comparable to pharmacological treatments suggests that farther exam of its clinical utility is warranted.
The electric current review aimed to expand upon the promising meta-analytic evidence for SST from our previous comparative meta-analysis of psychological interventions for psychosis by applying a more comprehensive focus on SST and including all comparison conditions rather than only bona fide psychological interventions. To the all-time of our knowledge, it is 8 years since SST has been thoroughly examined via meta-analysis. xv Given the accumulation of articles since this time ways that a renewed evaluation of its effectiveness is warranted. Because SST has farther diversified into a range of related interventions, we aimed to define and assess subtypes of SST as an adjunct to our primary comparisons. We too aimed to account for varying methodological rigor among SST trials because previous reviews did not accost risk of bias within RCTs. sixteen,17 Our overall aim was therefore to provide a detailed meta-analytic review of the contemporary testify-base for SST, with robust appraisal of risk of bias and methodological quality in RCTs. Our primary objective was to determine whether SST and SST subtypes demonstrate superiority in reducing negative symptoms against relevant comparing conditions. We hypothesized that SST would demonstrate superiority for negative symptoms across comparisons, whereas superiority would not be demonstrated in other symptom domains.
Methods
A systematic literature search and meta-analysis was performed following PRISMA guidelines for the reporting of systematic reviews and meta-analyses. eighteen
Search Strategy
A systematic literature search was completed in May 2016 (with no limits applied for year of publication) and included iv databases: The Cochrane Key Register of Controlled Trials, Pubmed, PsychInfo, and Embase. Abstracts were identified past entering text variations of three key terms dependent upon Boolean operators, MeSH terms, exploded terms, and limit settings relevant to each database, namely, (ane) social skills training and related interventions, (ii) psychosis and related diagnoses, and (3) randomized controlled trials. Further search strings have been included in Supplementary Material. Manufactures included in published meta-analyses were also considered for inclusion. 9,16,17,19,xx Trial registrations, conference abstracts, and dissertations were also considered via grey literature checks online.
Study Selection
Studies were included if they were randomized controlled trials in which social skills training or related interventions were compared against a control condition and applied to a psychosis population. Studies likewise met the post-obit inclusion criteria: (a) the participants were diagnosed with psychotic disorders including schizophrenia, schizoaffective disorder, delusional disorder, brief psychotic disorder, or psychosis not otherwise specified (NOS); (b) the intervention was defined as SST or was primarily intended to improve social performance; (c) the study was fully randomized and included comparing to an active control, handling-every bit-usual (TAU), or a waiting list control; and (d) relevant consequence measures assessing psychotic symptoms and/or social performance were reported at mail service-treatment and/or follow-up. Agile controls include comparing of SST against other bona fide interventions such as cognitive-behavioral therapy and therefore provide the most stringent comparison.
Studies were excluded if (a) participants had alternative or comorbid diagnoses, such as substance abuse or ultra-high gamble of psychosis; (b) missing data could not be obtained past contacting authors; or (c) authors mixed elements of SST and other interventions into the intervention and/or control status resulting in difficulty comparing the agile SST element (eg, SST plus oxytocin). Only studies reported in the English linguistic communication were included.
Gamble of Bias Assessment
For consistency with the previous meta-analysis, 9 RCTs were assessed at the study level against the first four criteria of the Cochrane chance of bias tool: sequence generation, allotment concealment, blinding of assessors, and incomplete outcome information. The final two items (selective outcome reporting and other sources of bias) were omitted considering at that place is no evidence of their bear on upon validity in meta-analysis. 21 The third item (blinding of assessors) was adjusted to include only outcome assessors in blinding because, unlike medication trials, study therapists and participants cannot exist blinded to the intervention being delivered. Two authors (D.T. and E.Thousand.G.) calculated take chances of bias scores via independent rating and resolution past discussion for 13 (48%) of the included studies, whereas risk of bias assessments for 14 (52%) studies were utilized from the previously published meta-analysis. 9 Gamble of bias items were rated as high-risk or depression-chance, whereas unclear items were categorized every bit high-gamble.
Data Extraction
Symptom-related issue data were extracted from fourteen studies every bit part of the previous publication. nine These information were checked for consistency and included in the electric current assay. 1 author (D.T.) extracted symptom-related effect data from the remaining xiii studies and extracted social performance issue data for all studies, whereas another (E.M.1000.) checked consistency. Spreadsheets piloted and utilized in the previous meta-analysis were employed for extraction. Nosotros contacted five authors 22–25 with requests for missing or unpublished outcome data, resulting in 1 successful farther inclusion. 26
Outcome Measures
All continuous outcome measures relevant to psychotic symptoms, general psychopathology, and social functioning were extracted. We considered negative symptoms the primary issue measure out based on results of the previous meta-analysis. 9 In instances where multiple issue measures were reported within one domain, all data were extracted and combined to form a pooled effect size for that domain. In a minority of studies, only dichotomous outcome information were bachelor. These were converted into Hedges' k according to the methods integrated in Comprehensive Meta-Analysis (CMA). 27 The all symptoms comparing therefore includes relapse, belch, and clinical exacerbation as proxy symptom measures.
Meta-Analyses
The overall strategy for the meta-analyses was to progress gradually from a broad and inclusive sample of studies toward more methodologically robust comparisons. This meant that for each effect measure category (all symptoms, positive symptoms, negative symptoms, full general symptoms, and social performance) or comparing category (all comparators, active controls, TAU, and supportive counseling [SC] merely), divide meta-analyses were performed for progressively decreasing chance of bias (0–4, where iv indicates the highest take a chance of bias) when possible based on study availability. Meta-analyses were performed on outcome measures or comparator categories when at least five studies were available. Risk of bias sensitivity analyses were performed when at least 4 studies were available. It was acknowledged that comparisons meeting the minimum required number of studies would be considerably underpowered.
In gild to investigate differences in efficacy between SST variations and related interventions, two authors (D.T. and A.G.) identified subtypes of SST independently and resolved disagreements by discussion before final categorization. Divide meta-analyses were then performed using the same procedures as above. Similarly, meta-analyses for outcome measures assessed at follow-up were conducted when at that place were at least four studies bachelor at any given follow-up time indicate (eg, 6 months).
For meta-analyses which did non require the combination of issue measures at study level, the computer software R Studio version i.0.136 was used to summate pooled consequence sizes using the packages meta and metafor. 28,29 For comparisons that included studies where ii upshot measures were reported in the same domain (eg, two measures of negative symptoms), Comprehensive Meta-Analysis, version 3.0 was used due to its ability to provide a combined consequence size at the study level. The programs were checked for consistency of results on a proportion of comparisons. Both software packages provided an aggregated effect size indicating the pooled mean difference betwixt groups at post-treatment or follow-up using Hedges' g. Hedges' g is an estimate of the standardized mean difference betwixt groups and provides a more accurate estimate of furnishings in small samples than similar statistics for continuous event variables such as Cohen'southward d. thirty Blastoff was set to 0.05 for all comparisons and 95% confidence intervals were obtained.
Heterogeneity
Both software packages calculated chi-square tests to assess the degree of heterogeneity for each comparing. The Q statistic and resultant blastoff level were used to determine the presence of heterogeneity in each comparison. The I ii statistic described the percentage of variance in each comparison that may arise from heterogeneity between studies or outcome measures rather than by chance. For the purpose of assessment, heterogeneity was divers as absent (0%), depression (25%), moderate (fifty%), and loftier (75%). 31 A 95% confidence interval was calculated for the I 2 statistic.
Publication Bias
Publication bias for all meta-analyses was established by examining funnel plots. 32 Duval and Tweedie's 33 trim and fill up process was used to guess result sizes later accounting for publication bias, whereas Egger'due south 34 test of the intercept was applied to quantify bias and assess significance.
Power Analysis
Due to progressive sensitivity analyses and our identification of SST subtypes, a number of comparisons were likely to be underpowered. We therefore utilized power assay to decide the approximate number of studies required to place relevant effects. Previous meta-analysis identified effect sizes ranging from roughly g = 0.2–0.six for SST. nine Based on Cuijpers' 35 table, for an average N of 30 per grouping in each study and conservatively assuming 0.80 ability alongside alpha level 0.05, information technology was estimated that 18 studies would be required to detect an effect size of k = 0.two for comparisons with low between written report variances. Comparisons with medium and high variances would require 22 and 26 studies, respectively.
Results
Study Selection
Figure i illustrates the pick process by which articles were screened for inclusion. Following removal of duplicates, 1972 title abstracts were screened for relevant characteristics; a further 176 articles were retrieved for closer inspection of inclusion and exclusion criteria. Twenty-seven randomized controlled trials qualified for final inclusion resulting in data for North = 1437 participants existence included across 70 meta-analyses and sensitivity analyses. All included RCTs reported outcome measures at post-treatment, whereas 11 studies (xl%) included follow-up information ranging from 12 weeks to 18 months post-treatment.
Selected characteristics of included studies are available in Table 1. 20-five studies (93%) practical grouping format, whereas only two applied individual format. Chance of bias scores within studies ranged from i to iv. This meant that no studies accomplished the lowest possible risk of bias score, and therefore, sensitivity analyses could not exclude all adventure of bias. Details of risk of bias assessments at the report level are included in Supplementary Material. Four broad subtypes of SST were identified equally defined in Table 2 and formed the basis of subtype comparisons.
Table 1.
Written report and publications | Country | Sample characteristics | Relevant comparisons and N | Symptom outcome measures | Format | Bias risk (0–4) | Elapsing (wk to PT approximately) | Follow-up |
---|---|---|---|---|---|---|---|---|
Anzai et al24 | Japan | DSM-IV and ICD- 10 schizophrenia. Inpatients. Refractor. Poor insight | SST (37) vs OT (15) | Rehab calibration, Discharge | Group | 4 | 9 | N/A |
Bowie et al51 | Canada and USA | Schizophrenia or schizoaffective disorder. Outpatients | SST (38) vs CR (38) | PANSS, SSPA | Group | i | 12 | 12 wk |
Chien et al52 | Taiwan | DSM-IV schizophrenia. Inpatients | SST (35) vs TAU (43) | PANSS, IAS | Group | 3 | iv | Due north/A |
Choi et al53 | Republic of korea | DSM-Iv schizophrenia and schizo-affective disorder. Outpatients | SST (17) vs TAU (17) | SBST | Group | four | 26 | Due north/A |
Dobson et al54 | Canada | DSM-III Schizophrenia. Outpatients. Severe patients excluded | SST (xv) vs BF 13) | PANSS | Grouping | iii | eleven | N/A |
Gohar et al2 | Arab republic of egypt | DSM-Iv schizophrenia and schizo-affective disorder. Outpatients | SCST (22) vs CST (20) | PANSS, MSCEIT | Group | 3 | eight | N/A |
Granholm et al55,56 | The states | DSM-Iv schizophrenia and schizo-affective disorder. Older outpatients 42+ | CBSST (37) vs TAU (39) | PANSS | Group | 2 | 24 | half-dozen, 12 mo |
Granholm et al57 | U.s.a. | Older outpatients 45+, DSM-4 schizophrenia, and schizoaffective disorder | CBSST (41) vs SC (38) | PANSS, SANS | Group | 1 | 36 | 4.5, 9 mo |
Granholm et aliv | USA | DSM-4 schizophrenia and schizoaffective disorder. Outpatients | CBSST (73) vs SC (76) | PANSS, SANS, MASC | Grouping | 1 | 36 | 6, 12 mo |
Hayes et al58 | Australia | DSM-3-R schizophrenia. Non-current positive symptoms. Recruited from a range of services | SST (23) vs. SC (22) | BPRS, SANS, SSIT | Group | four | 18 | 6 mo |
Hogarty et al 59,threescore | USA | RDC schizophrenia or schizoaffective disorder. High expressed emotion families. Inpatients | SST (23) vs FI (23) | Symptom relapse | Individual | 4 | 104 | N/A |
Horan et althree | U.s. | DSM-Four schizophrenia or schizoaffective disorder. Clinically stable outpatients | SST (17) vs PE (17) | BPRS, SSPA | Group | 2 | 6 | North/A |
Horan et al61 | U.s. | DSM-4 schizophrenia, schizoaffective disorder, delusional disorder or psychosis. Clinically stable outpatients. | SST (xix) vs CR (24) | BPRS, SSPA, HAM-D | Grouping | two | 12 | N/A |
Lecomte et al62,63 | Canada | Early psychosis (< 2 years). Current psychotic symptoms. Stabilized outpatients | CBT (48) vs SST (54) | BPRS | Group | two | 13 | half dozen, 12 mo |
Liberman et al64–66 | USA | DSM-3 schizophrenia. Inpatients | SST (xiv) vs PE (14) | PAS | Group | 3 | 10 | North/A |
Report and publications | Country | Sample characteristics | Relevant comparisons and N | Extracted outcome measures | Format | Bias Risk (0–iv) | Elapsing (weeks to PT) | Follow-up |
Liberman et al67 | Us | Persistent and unremitting schizophrenia. Outpatients | SST (42) vs OT (42) | BSI, GAS, BPRS | Both | 3 | 26 | N/A |
Marder et al68 | United states | DSM-III schizophrenia. At to the lowest degree two acute episodes or 2 y psychotic symptoms. Male person outpatients | SST (thirteen) vs SC (14) | BPRS Exacerbations | Group | 3 | 104 | North/A |
Ng et al69 | Hong Kong | DSM-4 schizophrenia. Inpatients | SST (eighteen) vs SC (18) | BPRS, SANS, SFS, SBS | Group | 0 | 8 | 6 mo |
Patterson et al70 | USA | DSM-IV schizophrenia or schizophreniform disorder. Older chronic Latino inpatients | SST (21) vs SC (viii) | PANSS, SSPA | Group | 3 | 26 | 12, 18 mo |
Patterson et alfive | Us | DSM-IV schizophrenia or schizophreniform. Older chronic inpatients | SST (124) vs SC (116) | PANSS, SSPA, HAM-D | Group | ii | 26 | N/A |
Roberts et al50 | Usa | DSM-Four schizophrenia or schizoaffective disorder. Interaction difficulties. Outpatients | SCIT (33) vs. TAU (33) | PANSS, SSPA, GSFS | Group | 2 | 13 | 3 mo |
Rus-Calafell et al71 | Spain | DSM-IV-TR schizophrenia or schizoaffective disorder. Clinically stable outpatients | SST (13) vs TAU (eighteen) | PANSS, SFS | Group | 4 | 26 | 6 mo |
Gil Sanz et al47 | Spain | CIE-10 Schizophrenia. Rehab patients | SCT (seven) vs TAU (seven) | PANSS, WHODAS-II | Group | 3 | 10 | N/A |
Tas et al49 | Turkey and Germany | DSM-4 schizophrenia. Clinically stable outpatients | SST (22) vs BF (27) | PANSS, SFS | Group | 0 | 16 | Northward/A |
Velligan et al26 | U.s.a. | DSM-IV Schizophrenia or schizoaffective disorder. Clinically stable outpatients | CBSST (26) vs TAU (25) | NSA-16, BNSS | Individual | one | 39 | Due north/A |
Wang et al25 | China | DMS-Iv schizophrenia. Clinically stable outpatients | SST (48) vs SC (48) | PSP | Group | 2 | 20 | Northward/A |
Xiang et alhalf dozen | China | DSM-IV schizophrenia. Clinically stable inpatients and outpatients. | SST (50) vs PE (53) | PANSS, SDSS | Grouping | 1 | 4 | 6, 12 mo |
Table 2.
Definition | N st | N p |
---|---|---|
1. Cognitive-behavioral social skills training (CBSST): CBSST defined interventions which utilized primarily a social-skills training approach similar to generic SST only also integrated cognitive-behavioral techniques such as cognitive restructuring, thought challenging or behavioral experiments. To limit heterogeneity, we attempted to exclude interventions that were primarily structured equally formulation-based CBT-based approaches that added aspects of SST because these interventions have less explicit skills training focus.4,26 | four4,26,43,45 | 243 |
two. Generic social skills training: Generic SST refers to approaches that remain close to the original model of SST emerging in the 1980s. Typically this consists of a behaviorally oriented, group intervention based upon social learning traditions in which the therapist(s) engage participants in interpersonal training sessions. The focus is typically upon assertiveness, exact and not-verbal advice, reduction of social distress, and learning advisable contextual responses in social situations. This may exist achieved via modeling, role-play, rehearsal, group reflection and word, or a variety of related methods.1,48 | 740,42,46,47,52,57,59 | 287 |
iii. Social-cognitive skills training (SCST): This category refers to a relatively wide range of interventions that focus primarily on refining social cognitive processes such as emotion perception, theory-of-mind abilities. In order to authorize, interventions were required to include a therapist-led, behavioral, or cogitating chemical element in lodge to demonstrate distinction from approaches further on a continuum toward cognitive remediation. SCST may integrate computer programs or videos in order to facilitate improved training of social responses and may also follow a "drill and repeat" construction.49,fifty | viiitwo,three,25,37,38,41,49,threescore | 295 |
4. UCLA-FAST based: The acronym for this category refers firstly to those interventions explicitly based upon the University of California Los Angeles (UCLA) model of skills training, which integrates traditional SST alongside aspects of psycho-instruction, relapse prevention, and skills in managing daily life tasks such every bit medication or independent travel. A like approach is functional adaptive skills training (FAST); therefore, these varieties of SST were combined to grade a more applied-skills based category.5,6,51 | eight5,6,24,39,50,52,55,58 | 612 |
v. Treatment-as-usual (TAU) comparison: Refers to standard clinical care received by patients. TAU cannot be considered an active control in meta-analysis considering intervention is nonstandardized, whereas both intervention and control groups in psychosis are likely to receive some course of TAU (eg, medication). | ||
vi. Active controls: Includes bona-fide interventions such as cognitive-behavioral therapy alongside less recognized but standardized control interventions such equally supportive counseling | ||
seven. Supportive counseling (SC): Refers to nondirective supportive therapeutic contact which includes key common ingredients of therapy such every bit empathy and rapport without specific techniques of therapy models.39 |
Consequence of SST on Psychosis Symptoms
Results for all comparisons of SST against active controls, TAU, SC, and all comparators pooled are provided in Table 3. A summary forest plot of significant comparisons is provided in Figure 2. Separate meta-analyses were calculated for each symptom category and followed by risk of bias sensitivity analyses. SST was more efficacious than TAU for all symptoms (one thousand = 0.28, P = .02) but did non demonstrate superiority confronting comparators pooled, active controls, or SC. The effect vs TAU was robust when removing studies with risk of bias scores of ≥4 (where four indicates the highest risk of bias score), although farther sensitivity analyses were non possible due to limited written report availability and the meaning ≥4 comparison was underpowered. Heterogeneity was absent-minded in the TAU comparison, although other nonsignificant comparisons for all symptoms pooled showed moderate-to-loftier heterogeneity. SST did not demonstrate superiority in any comparison for positive symptoms while heterogeneity was also moderate to loftier in this domain.
Table three.
North | G | 95% CI | Z | P of Z | Q-value | I 2 (%) | I 2 95% CI | |
---|---|---|---|---|---|---|---|---|
SST for all symptom measures pooled | ||||||||
Vs any comparator | ||||||||
All eligible studies | 25 | 0.097 | −0.074, 0.267 | i.112 | .266 | 53.99* | 55.48 | thirty–72 |
Excluding risk of bias score of 4 | 21 | 0.090 | −0.091, 0.270 | 0.973 | .331 | 46.13* | 56.64 | 29–73 |
Excluding risk of bias score ≥3 | 13 | 0.106 | −0.131, 0.343 | 0.879 | .379 | 34.59* | 65.xxx | 37–81 |
Excluding risk of bias score ≥2 | seven | 0.173** | −0.026, 0.373 | ane.704 | .088 | 6.42 | half dozen.49 | 0–73 |
Vs active controls | ||||||||
All eligible studies | xviii | 0.067 | −0.151, 0.286 | 0.605 | .545 | 45.23* | 62.42 | 37–77 |
Excluding risk of bias score of iv | 15 | 0.051 | −0.118, 0.281 | 0.440 | .660 | 37.30* | 62.47 | 34–79 |
Excluding risk of bias score ≥3 | 10 | 0.088 | −0.209, 0.385 | 0.581 | .561 | 32.38* | 72.twenty | 47–85 |
Excluding risk of bias score ≥ii | 6 | 0.165 | −0.061, 0.392 | ane.431 | .152 | vi.nineteen | 19.fifteen | 0–64 |
Vs TAU | ||||||||
All eligible studies | 6 | 0.282* | 0.049, 0.515 | 2.373 | .018 | 2.80 | 0.00 | 0–75 |
Excluding risk of bias score of four | 5 | 0.300* | 0.054, 0.546 | 2.386 | .017 | 2.61 | 0.00 | 0–79 |
Vs SC only | ||||||||
All eligible studies | 7 | −0.104 | −0.456, 0.247 | −0.58 | .560 | 18.88* | 68.23 | 30–86 |
Excluding gamble of bias score of 4 | 6 | −0.090 | −0.499, 0.318 | −0.432 | .666 | xviii.81* | 73.42 | 39–88 |
Excluding gamble of bias score ≥3 | 4 | −0.086 | −0.669, 0.488 | −0.294 | .769 | 17.99* | 83.32 | 58–93 |
SST for positive symptoms | ||||||||
Vs any comparator | ||||||||
All eligible studies | 13 | 0.0895 | −0.117, 0.296 | 0.85 | .397 | 23.88* | 49.8 | 5–73 |
Excluding take a chance of bias score of four | 12 | 0.984 | −0.122, 0.318 | 0.88 | .381 | 23.72* | 53.6 | 11–76 |
Excluding adventure of bias score ≥3 | 9 | 0.980 | −0.150, 0.350 | 0.78 | .438 | xviii.36* | 56.4 | viii–79 |
Excluding risk of bias score ≥two | 5 | 0.050 | −0.362, 0.460, | 0.23 | .819 | 14.70* | 72.eight | 32–89 |
Vs active controls | ||||||||
All eligible studies/ excluding risk of bias 4 | viii | 0.080 | −0.223, 0.380, | 0.50 | .620 | xix.80* | 64.6 | 25–83 |
Excluding risk of bias score ≥iii | vii | 0.127 | −0.194, 0.450, | 0.78 | .437 | eighteen.04* | 66.7 | 26–85 |
Excluding risk of bias score ≥2 | five | 0.050 | −0.362, 0.460, | 0.23 | .819 | xiv.lxx* | 72.eight | 32–89 |
Vs TAU | ||||||||
All eligible studies | 5 | 0.151 | −0.098, 0.400, | ane.nineteen | .235 | iii.68 | 0.00 | 0–79 |
Excluding risk of bias score of iv | 4 | 0.176 | −0.110, 0.460, | i.22 | .222 | 3.31 | nine.thirty | 0–86 |
SST for negative symptoms | ||||||||
Vs whatever comparator | ||||||||
All eligible studies | 17 | 0.191* | 0.043, 0.338 | ii.53 | .011 | 19.67 | xviii.65 | 0–54 |
Excluding risk of bias score of 4 | 15 | 0.218* | 0.077, 0.359 | 3.03 | .002 | 14.66 | iv.48 | 0–56 |
Excluding take chances of bias score ≥iii | 11 | 0.194* | 0.041, 0.346 | ii.49 | .013 | 7.96 | 0.00 | 0–60 |
Excluding risk of bias score ≥2 | 7 | 0.279* | 0.087, 0.471 | 2.85 | .004 | v.07 | 0.00 | 0–71 |
Vs active controls | ||||||||
All eligible studies | eleven | 0.136 | −0.070, 0.341 | one.29 | .196 | sixteen.01 | 37.52 | 0–69 |
Excluding take a chance of bias score of 4 | ten | 0.185** | −0.009, 0.378 | 1.87 | .061 | 11.94 | 24.61 | 0–64 |
Excluding take chances of bias score ≥3 | 8 | 0.196* | 0.010, 0.383 | 2.07 | .039 | 0.74 | 9.54 | 0–68 |
Excluding risk of bias score ≥2 | 6 | 0.276* | 0.073, 0.478 | 2.67 | .008 | 5.05 | ane.04 | 0–75 |
Vs TAU | ||||||||
All eligible studies | 6 | 0.311* | 0.078, 0.544 | 2.61 | .009 | 2.17 | 0.00 | 0–75 |
Excluding risk of bias score of 4 | 5 | 0.300* | 0.054, 0.546 | two.39 | .017 | 2.09 | 0.00 | 0–79 |
Vs SC only | ||||||||
All eligible studies | iv | 0.013 | −0.283, 0.257 | 0.09 | .927 | ii.77 | 0.00 | 0–85 |
SST for PANSS full general symptoms | ||||||||
Vs any comparator, all eligible studies | six | 0.318* | 0.043, 0.594 | 2.26 | .023 | 7.33 | 31.70 | 0–72 |
Vs TAU, all eligible studies | 4 | 0.404* | 0.111, 0.697 | two.seventy | .007 | 2.31 | 0.00 | 0–85 |
SST for social competency effect measures | ||||||||
Vs any comparator | ||||||||
All eligible studies | 17 | 0.326* | 0.079, 0.572 | 2.59 | .010 | 49.60* | 67.79 | 47–81 |
Excluding risk of bias score of 4 | thirteen | 0.364* | 0.100, 0.628 | 2.70 | .007 | 37.27* | 67.80 | 43–82 |
Excluding risk of bias score ≥iii | nine | 0.372* | 0.036, 0.709 | 2.17 | .030 | 33.20* | 75.91 | 54–87 |
Excluding risk of bias score ≥2 | 5 | 0.193 | −0.065, 0.451 | 1.47 | .143 | 5.44 | 26.48 | 0–72 |
Vs active controls | ||||||||
All eligible studies | 12 | 0.131 | 0.234, 0496 | 0.70 | .482 | 59.59* | 81.53 | 69–89 |
Excluding risk of bias score of iv | 10 | 0.227 | −0.170, 0.624 | one.12 | .262 | 51.16* | 82.41 | 69–xc |
Excluding risk of bias score ≥3 | 8 | 0.320 | −0.098, 0.738 | 1.l | .134 | 39.98 | 82.49 | 67–91 |
Excluding risk of bias score ≥2 | 5 | 0.020 | −0.312, 0.353 | 0.12 | .906 | 8.86 | 54.88 | 0–83 |
Vs TAU | ||||||||
All eligible studies | 5 | 0.201 | −0.140, 0.541 | 1.16 | .248 | 5.31 | 24.69 | 0–70 |
SST subtypes vs any comparator | ||||||||
All symptom measures pooled | ||||||||
Generic SST, all eligible studies | 7 | 0.171 | −0.127, 0.468 | 1.13 | .260 | eight.70 | 31.77 | 0–71 |
Generic SST, excl. risk of bias ≥four | 4 | 0.364** | −0.011, 0.739 | 1.ninety | .057 | 4.21 | 28.71 | 0–74 |
Cognitive-behavioral SST, excl. adventure of bias ≥iii | 4 | 0.147 | −0.108, 0.403 | 1.xiii | .258 | 0.59 | 0.00 | 0–85 |
Social-cognitive SST, excl. risk of bias ≥4 | 6 | 0.270 | −0.027, 0.567 | ane.78 | .075 | six.xl | 21.92 | 0–66 |
Social-cognitive SST, excl. risk of bias ≥3 | v | 0.392* | 0.107, 0.678 | two.70 | .007 | 2.48 | 0.00 | 0–79 |
Social-cognitive SST, excl. hazard of bias ≥ii | 4 | 0.413* | 0.116, 0.709 | 2.73 | .006 | two.24 | 0.00 | 0–85 |
UCLA-FAST, all eligible studies | viii | −0.058 | −0.392, 0.276 | −0.34 | .733 | 25.19* | 72.21 | 43–86 |
UCLA-FAST, run a risk of bias ≥four | 7 | −0.176 | −0.461, 0.109 | −1.21 | .226 | xv.71* | 61.81 | 13–83 |
UCLA-FAST, excl. risk of bias ≥3 | 4 | −0.201 | −0.649, 0.246 | −0.88 | .378 | xiv.65 | 79.52 | 46–92 |
Negative symptoms | ||||||||
Generic SST, all eligible studies | v | 0.268 | −0.143, 0.678 | 1.28 | .201 | viii.66 | 53.83 | 0–83 |
Cognitive-behavioral SST, all eligible studies | four | 0.146 | −0.117, 0.402 | 1.11 | .266 | 0.46 | 0.00 | 0–85 |
Social-cognitive SST, all eligible studies | 5 | 0.148 | −0.213, 0.509 | 0.80 | .421 | 6.47 | 38.14 | 0–77 |
Social competency outcome measures | ||||||||
Generic SST, all eligible studies | 4 | −0.031 | −0.318, 0.256 | 0.21 | .832 | 1.31 | 0.00 | 0–85 |
Social-cognitive SST, all eligible studies | 7 | 0.301 | −0.211, 0.812 | 1.15 | .249 | 23.41* | 74.37 | 45–88 |
Social-cognitive SST, excl. risk of bias ≥iv | 6 | 0.188 | −0.340, 0.716 | 0.70 | .485 | xix.86* | 74.82 | 43–89 |
Social-cognitive SST, excl. risk of bias ≥3 | 4 | 0.478** | −0.018, 0.975 | 1.89 | .059 | 8.38* | 64.18 | 0–88 |
UCLA-FAST, all eligible studies | 5 | 0.080 | −0.587, 0.747 | 0.24 | .814 | 36.19* | 88.95 | 77–95 |
UCLA-FAST, excl. risk of bias ≥iv | 4 | 0.267 | −0.432, 0.966 | 0.75 | .454 | 27.ix* | 89.25 | 75–95 |
SST vs whatever comparator at 6 mo follow-up | ||||||||
All symptoms, all eligible studies | 8 | 0.035 | −0.150, 0.220 | 0.37 | .712 | 1.94 | 0.00 | 0–68 |
All symptoms, excl. risk of bias ≥iii | vi | 0.061 | −0.139, 0.260 | 0.60 | .550 | 0.97 | 0.00 | 0–75 |
All symptoms, excl. risk of bias ≥2 | 4 | 0.116 | −0.119, 0.352 | 0.97 | .333 | 0.09 | 0.00 | 0–85 |
Positive symptoms, all eligible studies | v | −0.084 | −0.315, 0.147 | −0.71 | .475 | 1.09 | 0.00 | 0–79 |
Positive symptoms, hazard of bias ≥3 | 4 | −0.078 | −0.323, 0.166 | −0.63 | .530 | 1.06 | 0.00 | 0–85 |
Negative symptoms, all eligible studies | 7 | 0.001 | −0.207, 0.209 | 0.03 | .995 | 4.22 | 0.00 | 0–71 |
Negative symptoms, excl. risk of bias ≥3 | v | 0.006 | −0.223, 0.235 | 0.051 | .958 | ii.28 | 0.00 | 0–79 |
Social competency outcomes, all eligible studies | 4 | 0.096 | −0.186, 0.379 | 0.67 | .503 | 0.62 | 0.00 | 0–85 |
SST vs any comparator; longest follow-upwards pooled | ||||||||
All symptoms, all eligible studies | 11 | 0.209* | 0.043, 0.375 | two.46 | .014 | 7.65 | 0.00 | 0–60 |
All symptoms, excl. risk of bias ≥iv | nine | 0.252* | 0.075, 0.428 | 2.79 | .005 | 5.17 | 0.00 | 0–65 |
All symptoms, excl. chance of bias ≥3 | 8 | 0.237* | 0.056, 0.417 | 2.57 | .010 | 4.54 | 0.00 | 0–68 |
All symptoms, excl. risk of bias ≥two | 5 | 0.348 | 0.122, 0.574 | 3.02 | .003 | 1.89 | 0.00 | 0–79 |
Positive symptoms, all eligible studies | 8 | 0.130 | −0.152, 0.412 | 0.91 | .366 | 16.34* | 57.15 | 6–lxxx |
Positive symptoms, take chances of bias ≥3 | 7 | 0.156 | −0.150, 0.462 | 0.x | .318 | xv.66* | 61.67 | thirteen–83 |
Positive symptoms, risk of bias ≥2 | 4 | 0.282 | −0.196, 0.760 | one.16 | .247 | 11.57* | 74.08 | 28–91 |
Negative symptoms, all eligible studies | x | 0.228* | 0.025, 0.430 | 2.20 | .028 | 12.51 | 28.lxx | 0–65 |
Negative symptoms, excl. risk of bias ≥iii | 8 | 0.267* | 0.055, 0.478 | 2.47 | .013 | 9.42 | 25.70 | 0–66 |
Negative symptoms, excl. risk of bias ≥2 | v | 0.394* | 0.148, 0.640 | 3.15 | .002 | 4.66 | xiv.nineteen | 0–82 |
Social competency outcomes, all eligible studies | 8 | −0.100 | −0.964, 0.765 | −0.23 | .821 | 112.22* | 93.76 | 90–96 |
Social competency outcomes, excl. bias ≥iv | half dozen | −0.221 | −1.356, 0.914 | −0.38 | .703 | 111.59* | 95.52 | 93–97 |
Social competency outcomes, excl. bias ≥3 | 5 | −0.331 | −i.641, 0.978 | 0.50 | .620 | 111.08* | 96.forty | 94–98 |
Social competency outcomes, excl. bias ≥2 | 4 | −0.425 | −2.165, 1.314 | 0.48 | .632 | 111.08* | 97.30 | 95–98 |
SST vs any comparator; all follow-upward combined | ||||||||
All symptoms, all eligible studies | eleven | 0.141** | −0.013, 0.294 | i.79 | .073 | iii.66 | 0.00 | 0–60 |
All symptoms, excl. risk of bias ≥4 | x | 0.169* | 0.007, 0331 | 2.05 | .041 | i.93 | 0.00 | 0–62 |
All symptoms, excl. hazard of bias ≥3 | nine | 0.161** | −0.004, 0.326 | ane.91 | .057 | 1.71 | 0.00 | 0–65 |
All symptoms, excl. risk of bias ≥ii | 6 | 0.231* | 0.033, 0.429 | 2.29 | .022 | 0.09 | 0.00 | 0–75 |
Positive symptoms, all eligible studies | 8 | 0.045 | −0.158, 0.247 | 0.43 | .664 | eight.51 | 17.76 | 0–61 |
Positive symptoms, take chances of bias ≥4 | 7 | 0.058 | −0.165, 0.280 | 0.51 | .612 | 8.24 | 27.17 | 0–68 |
Positive symptoms, risk of bias ≥2 | 4 | 0.130 | −0.225, 0.484 | 0.72 | .474 | 6.31 | 52.47 | 0–84 |
Negative symptoms, all eligible studies | 10 | 0.175** | −0.025, 0.374 | one.72 | .086 | 12.02 | 25.12 | 0–64 |
Negative symptoms, excl. risk of bias ≥iv | 8 | 0.204** | −0.009, 0.416 | ane.88 | .060 | 9.forty | 25.55 | 0–66 |
Negative symptoms, excl. adventure of bias ≥2 | 5 | 0.310* | 0.052, 0.567 | 2.36 | .018 | 5.02 | 20.35 | 0–66 |
Social competency outcomes, all eligible studies | 7 | −0.224 | −1.127, 0.679 | 0.47 | .627 | 91.63* | 93.45 | 89–96 |
Social competency outcomes, excl. bias ≥4 | 5 | −0.418 | −1.659, 0.823 | −0.66 | .509 | 89.64* | 95.54 | 92–97 |
Social competency outcomes, excl. bias ≥ii | four | −0.608 | −two.107, 0.891 | −0.80 | .427 | 87.94* | 96.59 | 94–98 |
SST was more efficacious for negative symptoms when compared to all comparators pooled, active controls, and TAU. SST was more efficacious compared to pooled comparators (g = 0.19, P = .01) when all eligible studies were included in the analysis. When progressive removal of bias risk was implemented, the effect size gradually increased to g = 0.28 (P = .01). A similar trend was observed for comparison to active controls, where initial comparisons including all studies approached significance while gradual removal of bias resulted in an effect size of g = 0.28 (P = .01). In comparison to TAU, SST was more efficacious when all studies were included (g = 0.31, P = .01), although studies only allowed for removal of studies with a bias risk score of ≥4 (g = 0.30, P = .02). The ≥four bias comparing was underpowered. SST did not demonstrate superiority confronting SC for negative symptoms, but this comparing was underpowered with merely four studies bachelor. There was no evidence of heterogeneity amidst negative symptom comparisons.
For Positive and Negative Syndrome Scale (PANSS) general symptoms, SST demonstrated superiority against comparators pooled (1000 = 0.32, P = .02) and TAU (chiliad = 0.40, P = .01). The limited number of available studies in this symptom domain meant that sensitivity analyses for hazard of bias were not possible while comparisons were underpowered. There was no evidence of pregnant heterogeneity.
Effect of SST for Social Performance
The results for social performance outcome measures are displayed in Table 3. SST was more efficacious when compared to all comparators pooled. This effect size gradually increased from g = 0.33(P = .01) when all eligible studies were included to m = 0.37 (P < .03) when studies scoring ≥3 on bias adventure were excluded. The treatment consequence was no longer significant on the concluding sensitivity analysis for studies scoring ≥ii on bias risk, although this comparing was underpowered with only five studies available. SST did not demonstrate significant superiority against agile controls or TAU, although the TAU comparison was particularly underpowered. The majority of comparisons in the social functioning domain displayed moderate-to-high heterogeneity including significant furnishings.
Comparison of SST Subtypes
Table 3 provides results of the comparison of the a priori specified SST subtypes. The majority of SST subtype comparisons were underpowered due to limited study availability. In order to assess trends in the data, effects that approached significance (P < .1) were noted and the magnitude of nonsignificant effects was considered. The only subtype that demonstrated significant superiority was SCST, which demonstrated a relatively robust effect size at ≥three (chiliad = 0.39, P = .01) and ≥2 (g = 0.41, P = .01) bias levels against any comparator pooled for all symptom measures pooled. Generic SST demonstrated an effect size that approached significance for all symptoms pooled (k = 0.36, P = .057), whereas for negative symptoms, a similar magnitude was observed despite the comparison being underpowered (thousand = 0.27, P < .twenty). UCLA-FAST approaches showed a nonsignificant trend of inferiority for all symptoms pooled vs whatsoever comparator, whereas CBSST comparisons were hampered past limited study availability. Comparisons of CBSST showed no evidence of heterogeneity, whereas generic SST and SCST symptom comparisons did not show significant heterogeneity. Heterogeneity was nowadays for UCLA-FAST comparisons, although decreased equally bias gamble was reduced. Moderate-to-high heterogeneity was observed across social performance comparisons.
Follow-up
Limited RCT availability meant that meta-analyses on follow-up information were restricted to comparisons at 6-calendar month follow-up, the longest available follow-up, and a pooled follow-upwardly comparison in which an average effect size was calculated across follow-up measurements within each study. This section was restricted to all comparators pooled rather than allowing TAU or agile command comparisons. Comparisons were underpowered overall, whereas heterogeneity was consistently low.
SST did not show superiority over any comparator at 6-month follow-up. At the longest available follow-upwardly, SST demonstrated superiority for all symptoms when all eligible RCTs were included (k = 0.xx, P = .01), at ≥4 (m = 0.25, P = .01) and at ≥three (g = 0.24, P = .01) hazard of bias levels although lost significance at the most stringent ≥2 risk of bias sensitivity analysis. For negative symptoms, SST demonstrated superiority in all comparisons at the longest available follow-upwards including when all eligible studies were included (g = 0.23, P = .01) and in the sensitivity analyses for ≥3 (1000 = 0.27, P = .01) and ≥two (one thousand = 0.40, P = .002) chance of bias levels. When all follow-upwards measurements were combined, SST demonstrated superiority for all symptoms at the ≥4 (g = 0.17, P = .04) take chances of bias level and as well the most stringent ≥two level (thou = 0.23, P = .02). For negative symptoms, the result of SST approached significance when all eligible studies were included and at the ≥iv take a chance of bias level. SST demonstrated superiority for negative symptoms at the well-nigh stringent sensitivity assay for the ≥2 chance of bias level (g = 0.31, P = .02). This comparison was underpowered. Follow-upwards comparison was non bachelor for PANSS general symptoms due to limited study availability.
Publication Bias
Test of funnel plots and consideration of the trim and make full procedure for effects that demonstrated statistical significance indicated the presence of publication bias in merely i comparison. The funnel plot for SST vs all comparators pooled for full general symptoms suggested that 1 study with negative findings had not been published. The trim and fill procedure trimmed one study causing a marginal reduction in the magnitude of effect size in this comparison from g = 0.32 (P ≤ .05) to g = 0.26 (95% CI 0.01, 0.53). The classic fail-rubber N process suggested that it would require 7 missing studies to bring significance below the 0.05 alpha level, whereas Egger's 31 test of the intercept did non demonstrate significance.
Discussion
The electric current meta-assay provided a systematic and comprehensive overview of the efficacy of SST for psychosis while also investigating SST subtypes. SST demonstrated superiority for negative symptoms against all comparators pooled, TAU, and active controls with pocket-sized but reliable differences. SST did non demonstrate superiority over SC for negative symptoms, although this comparing was very low in ability. SST besides demonstrated superiority confronting whatever comparator and TAU for PANSS general symptoms with pocket-sized-to-medium effects. SST was superior to TAU when pooling all symptom measures but did not demonstrate superiority against comparators pooled, agile control, or SC. At that place were no significant effects on positive symptoms. SST demonstrated superiority but against comparators pooled for social competency measures, although this consequence lost significance equally bias risk and power decreased. Significant effects for social outcomes were overall marginally larger than those for negative symptoms, although significant heterogeneity was nowadays across significant findings in this category while furnishings were non maintained against agile controls. In SST subtype comparisons, only SCST demonstrated superiority to pooled comparators. Effects of SST vs all comparators for all symptoms pooled and negative symptoms were maintained on a proportion of follow-upwards comparisons.
Equally hypothesized, SST demonstrated superiority for negative symptoms including in comparison against active controls, which is the most stringent comparison category. SST also demonstrated beneficial effects on those comparisons possible for full general symptoms. The overall trend in analyses for both negative and PANSS full general symptoms showed that the magnitude of SST effect increased equally chance of bias decreased, suggesting these effects may be robust. There was, even so, still a minimal level of run a risk of bias present in the RCTs pooled to provide these conclusions considering no RCT achieved the lowest possible risk of bias score. Sensitivity analyses for social outcomes did not follow this tendency, with the effect size decreasing and findings losing significant when bias was minimized. Similarly, many comparisons allowed only the least stringent category of sensitivity analysis due to express availability of methodologically strong RCTs. Comparisons in the social functioning domain displayed moderate-to-high heterogeneity. This heterogeneity may be a issue of combining a high number of outcome measures that were not designed to mensurate a narrowly defined construct. Our combination of these measures may therefore point that a number of related merely distinct outcomes were included, whereas a lack of robust meaning effects in this domain may also be related to the heterogeneity in the included outcomes.
Although SCST demonstrated superiority to pooled comparators again with magnitude increasing as bias decreased, no other SST subtypes demonstrated superiority in the context of low ability beyond comparisons. In that location were two effects approaching significance: generic SST at ≥4 risk of bias sensitivity analysis and SCST at ≥3 take chances of bias sensitivity analysis, whereas UCLA-FAST performed poorly, despite having the highest statistical power. This may therefore advise that "practical" life skills approaches take less beneficial touch upon symptoms than other subtypes. It is difficult to depict any conclusion regarding CBSST due to limited study availability. The identification of SST subtypes in meta-analysis may therefore become more relevant as the literature develops and futurity meta-analyses may benefit from increased study availability to bolster categories. Farther research in this area, which can comprehensively compare the effectiveness of SST subtypes, may help influence the evolution of effective SST interventions.
The beneficial effects of SST were not evident at 6-calendar month follow-up, which was underpowered. Robust effects were however maintained for negative symptoms at the longest available follow-up point and in a less robust manner for all symptoms, whereas combining follow-up points besides demonstrated similar lasting effects of SST. SST has faced criticism that learning does not generalize well to real-life situations. 16 These findings indicate that SST has potential as an intervention that maintains effects outside the therapy grouping, although demonstrating generalizability and longevity remain important.
The issue sizes reported for SST for negative symptoms (grand = 0.2–0.03) are marginally greater than those reported for CBT for positive symptoms and marginally smaller than those reported for antipsychotics, 8,nine whereas electric current evidence does not support CBT for negative symptoms. 14 If nosotros consider CBT as an intervention addressing positive symptoms and SST for negative symptoms, each intervention has furnishings of roughly equivalent magnitude for its target area. 36 Equally discussed, SST is not recommended as a stand-solitary intervention by Dainty and therefore is not routinely implemented in the NHS. x Furthermore, no UK RCTs met inclusion criteria for this meta-analysis, whereas many encounter criteria for CBT meta-analyses. 9,fifteen,37,38 Information technology is possible that a culture toward cerebral-behavioral, formulation-based interventions is limiting the consideration of culling approaches that demonstrate similar efficacy. The group-based way of SST may lend itself well to application within a CMHT environment and has the potential to act equally a cost-effective means of addressing negative symptoms, whereas improved care matching protocols may develop to help identify which patients may do good most from the range of available interventions and depending on their capacity to appoint. 39
The positive findings for SST on general psychopathology are also of interest. The PANSS full general psychopathology subscale may exist conceptualized every bit a measure of full general distress including depression and anxiety, which have been identified as factorial dimensions inside psychosis symptomatology. 40 Understanding of depression equally an integral office of psychosis is limited as are targeted interventions. The pocket-size-to-medium effect sizes shown for SST in this domain suggest that targeting full general psychopathology is worthy of consideration for the broader recovery agenda 41 while contemporary enquiry challenges the traditionally prevalent supposition that psychosis and depression are aetiologically distinct. 40 Considered broadly, these findings propose the importance of developing interventions for psychosis populations that carefully consider the symptom and functioning domains measured by negative and general symptom scales.
It should also exist recognized that negative symptoms represent heterogeneous sequelae within psychosis. Recent inquiry supports a two-factor structure within negative symptoms in which expressive or neurocognitive deficits are associated primarily with limited life functioning, whereas a second cistron representing limited social motivation is associated with depressive symptomatology. 41,42 Enquiry on intervention targeting specific subgroups inside negative symptoms is in its infancy. 43 Although simultaneously considering our findings on general symptoms, the potential crossover between negative symptoms and depressive symptomatology has implications for the development of constructive interventions.
On a macro level, this review too provides support that small but reliable differences exist between psychological interventions, specially on the outcomes targeted specifically by the intervention. This contradicts the Dullard verdict that all psychological interventions are equivalent considering SST retained superiority for negative symptoms observed elsewhere. nine,44 Small effect sizes and a number of nonsignificant comparisons vs active controls may as well be interpreted as supportive of the premise that interventions are roughly equivalent although the difficulty of depression power in these comparisons should not be dismissed. Wampold 45,46 highlights the tendency of meta-analyses of psychological interventions to plant targeted, symptom-specific improvement equally opposed to improved general functioning. The observed effect on PANSS full general symptoms suggests that improvement may occur on outcomes capturing comorbidity, although our methodology does not have the sophistication to specify the machinery of such improvements.
In that location were a number of limitations including those inherent to meta-analyses and those specific to this review. With regard to the literature, although 27 RCTs were included, participant numbers in many trials were low. 47 Many comparisons were therefore hampered past low ability and there were non enough high quality studies minimizing bias hazard to allow comparison at the lowest risk of bias level. This meant that any significant finding is still susceptible to some degree of potential bias.
Based on our comparison strategy, some other limitation was that many RCTs had to be excluded due to the mixed nature of interventions; eg, integrating medication, exercise, or other psychological therapies alongside SST. Information technology was beyond the telescopic of this review to consider these interventions, although a narrative systematic review may assist provide clarity on this burgeoning literature. Similarly, although we attempted to address the outcome via joint decision-making, our categorization of SST subtypes retains a degree of subjectivity while subtypes may incorporate heterogeneity. However, the first meta-analytic consideration of SST subtypes provides guidance for future reviewers equally this literature develops.
The lack of translation capability should also be considered a limitation in this review because we were unable to fully assess x potential articles for inclusion. A final limitation is that a wider range of outcomes are relevant to recovery from psychosis than those included in this review, eg, quality of life, neurocognitive function, relapse, or employment. Because all such outcomes was beyond the scope of our project; therefore, depending on study availability, hereafter research may consider them.
A farther limitation of this review is that neither the methodology nor the scope of this review allow insight into the mechanism of change by which SST modifies symptoms or social performance. In low-cal of our findings, it is possible that SST exerts secondary change in negative symptoms via the principal target of social performance, whereas an alternative possibility is that SST has direct touch upon negative symptoms such as poor rapport, emotional withdrawal, and passivity which in turn improves social performance. Moreover, there is considerable conceptual crossover among negative symptoms, general symptoms, and social functioning. Hereafter research dismantling the mechanisms of SST is therefore warranted.
Taken in the context of wider research findings, the magnitude of effects demonstrated by SST for negative and general symptoms is relatively comparable to other interventions including the extent of do good shown by antipsychotic and antidepressant medication. eight As aforementioned, nosotros recognize that because the majority of participants in included RCTs would have been maintained on medication, the beneficial effects of SST are over and above whatever existing pharmacological effect on symptoms, whereas the efficacy of SST for unmedicated participants remains unknown.
The results of this meta-analysis advise that SST has the potential for wider clinical awarding, whereas the level of evidence demonstrated for SST contradicts its exclusion past Prissy in the UK. 10 The effect sizes reported are impressive for a group-based psychological intervention suggesting that SST may take potential as a cost-effective alternative to private therapies addressing negative and general symptoms in healthcare systems struggling to provide routine psychological intervention while SST may also provide a beneficial adjunct to CBTp focused on appraisal and positive symptoms.
Further loftier-quality outcome research may help clarify doubts regarding the applicability and durability of SST in practice. At the very least, an RCT with stringent methodology applying SST for negative symptoms in a routine mental healthcare setting is warranted. Whatsoever future research may as well benefit from integrating a cost-effectiveness analysis. Future SST research must focus upon farther reducing run a risk of bias among RCTs and therefore assuasive equivalence to CBT methodology alongside further addressing the concerns regarding generalizability and longevity. It is therefore of import that methodologically stringent RCTs go along to integrate follow-up assessments on primary outcome measures, whereas the integration of booster sessions or any similar endeavor to prolong beneficial effects, problem-shoot, and increment applicability to real-life settings may help address pre-existing concerns. The pregnant findings on a proportion of follow-up comparisons suggest that further development of SST is warranted.
Supplementary Material
Supplementary fabric is available at Schizophrenia Message online.
Conflict of Interest Argument
The authors have alleged that there are no conflicts of interest in relation to the bailiwick of this study.
Supplementary Material
Supplementary Materials
References
1. Wallace CJ, Nelson CJ, Liberman RP et al. . A review and critique of social skills grooming with schizophrenic patients. Schizophr Bull. 1980;6:42–63. [PubMed] [Google Scholar]
2. Gohar SM, Hamdi E, El Ray LA, Horan WP, Green MF. Adapting and evaluating a social cognitive remediation programme for schizophrenia in Arabic. Schizophr Res. 2013;148:12–17. [PubMed] [Google Scholar]
3. Horan WP, Kern RS, Shokat-Fadai Grand, Sergi MJ, Wynn JK, Green MF. Social cognitive skills training in schizophrenia: an initial efficacy study of stabilized outpatients. Schizophr Res. 2009;107:47–54. [PMC free article] [PubMed] [Google Scholar]
4. Granholm E, Holden J, Link PC, McQuaid JR. Randomized clinical trial of cerebral behavioral social skills training for schizophrenia: improvement in functioning and experiential negative symptoms. J Consult Clin Psychol. 2014;82:1173–1185. [PMC free article] [PubMed] [Google Scholar]
5. Patterson TL, Mausbach BT, McKibbin C, Goldman S, Bucardo J, Jeste DV. Functional adaptation skills training (FAST): a randomized trial of a psychosocial intervention for middle-aged and older patients with chronic psychotic disorders. Schizophr Res. 2006;86:291–299. [PubMed] [Google Scholar]
6. Xiang YT, Weng YZ, Li WY et al. . Efficacy of the Community Re-Entry Module for patients with schizophrenia in Beijing, China: outcome at 2-year follow-upward. Br J Psychiatry. 2007;190:49–56. [PubMed] [Google Scholar]
seven. Kay SR, Fiszbein A, Opler LA. The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophr Bull. 1987;xiii:261–276. [PubMed] [Google Scholar]
8. Fusar-Poli P, Papanastasiou E, Stahl D et al. . Treatments of negative symptoms in schizophrenia: meta-assay of 168 randomized placebo-controlled trials. Schizophr Balderdash. 2015;41:892–899. [PMC gratis commodity] [PubMed] [Google Scholar]
9. Turner D, van der Gaag Chiliad, Karyotaki E, Cuijpers P. Psychological interventions for psychosis: a meta-analysis of comparative outcome studies. Am J Psychiatry. 2014;171:523–538. [PubMed] [Google Scholar]
10. National Institute for Clinical Excellence. Psychosis and schizophrenia in adults: prevention and management. Overnice guidelines. 2014 [CG178].
11. Lehman AF, Lieberman JA, Dixon LB, et al. . Do guideline for the treatment of patients with schizophrenia. Am J Psychiatry. 2004;161(ii Suppl). [PubMed] [Google Scholar]
12. Hagen R, Turkington D, Berge T.. CBT for Psychosis: A Symptom-Based Approach. Routledge; 2010. [Google Scholar]
13. Wykes T, Steel C, Everitt B, Tarrier N. Cognitive beliefs therapy for schizophrenia: consequence sizes, clinical models, and methodological rigor. Schizophr Bull. 2008;34:523–537. [PMC gratis commodity] [PubMed] [Google Scholar]
xiv. Velthorst Eastward, Koeter M, van der Gaag Chiliad et al. . Adapted cerebral-behavioural therapy required for targeting negative symptoms in schizophrenia: meta-analysis and meta-regression. Psychol Med. 2015;45:453–465. [PubMed] [Google Scholar]
15. National Plant for Wellness and Clinical Excellence. Schizophrenia: core interventions in the handling and direction of schizophrenia in adults in primary and secondary care clinical guideline. Natl Inst Heal Care Excell London. 2009;82:one–399. [Google Scholar]
16. National Plant for Health and Clinical Excellence. Schizophrenia (update): Full Guideline. London: Natl Ins Heal Care Excell. 2009;i––399.. [Google Scholar]
18. Moher D, Liberati A, Tetzlaff J, Altman DG; PRISMA Group Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151:264–ix, W64. [PubMed] [Google Scholar]
nineteen. Almerie MQ utayba, Okba Al Marhi Thousand, Jawoosh M et al. . Social skills programmes for schizophrenia. Cochrane database Syst Rev. 2015;6:CD009006. doi:ten.1002/14651858.CD009006.pub2. [PMC gratis article] [PubMed] [Google Scholar]
20. Kurtz MM, Richardson CL. Social cognitive training for schizophrenia: a meta-analytic investigation of controlled inquiry. Schizophr Bull. 2012;38:1092–1104. [PMC free commodity] [PubMed] [Google Scholar]
21. Higgins JP, Altman DG, Gøtzsche PC et al. ; Cochrane Bias Methods Group; Cochrane Statistical Methods Group. The Cochrane Collaboration's tool for assessing gamble of bias in randomised trials. BMJ. 2011;343:d5928. [PMC free article] [PubMed] [Google Scholar]
22. Bucci P, Piegari K, Mucci A et al. . Neurocognitive individualized training versus social skills individualized grooming: a randomized trial in patients with schizophrenia. Schizophr Res. 2013;150:69–75. [PubMed] [Google Scholar]
23. Lee TY, Chang SC, Chu H et al. . The effects of assertiveness training in patients with schizophrenia: a randomized, unmarried-blind, controlled written report. J Adv Nurs. 2013;69:2549–2559. [PubMed] [Google Scholar]
25. Wang Y, Roberts DL, Xu B, Cao R, Yan M, Jiang Q. Social cognition and interaction preparation for patients with stable schizophrenia in Chinese community settings. Psychiatry Res. 2013;210:751–755. [PubMed] [Google Scholar]
26. Velligan DI, Roberts DL, Maples-Aguilar NJ, Medellin Due east. A randomized pilot study of motivation enhancement therapy (movement). Schizophr Bull. 2015;41:S338. [Google Scholar]
27. Schwarzer G, Schwarzer MG. Package meta. Meta-analysis with R. 2016:one–ii. [Google Scholar]
28. Viechtbauer W. Metafor: Meta-analysis parcel for R. R Packag version 2010;2010:0–1. [Google Scholar]
29. Deeks JJ, Higgins J, Altman DG. Analysing data and undertaking meta-analyses. Cochrane Handb Syst Rev Interv Cochrane B Ser. 2008:243–296. [Google Scholar]
xxx. Borenstein M, Hedges LV, Higgins J, Rothstein HR.. Introduction to meta-analysis. Chichester, United Kingdom: John Wiley & Sons, Ltd; 2009. [Google Scholar]
31. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–560. [PMC free article] [PubMed] [Google Scholar]
32. Sterne JA, Egger 1000, Moher D.. Addressing reporting biases in Cochrane handbook for systematic reviews of interventions. Cochrane Book Series. In: Higgins JP, Green Southward eds. The Cochrane Collaboration. London, United Kingdom; 2008. [Google Scholar]
33. Duval Due south, Tweedie R. Trim and fill up: A uncomplicated funnel-plot-based method of testing and adjusting for publication bias in meta-assay. Biometrics. 2000;56:455–463. [PubMed] [Google Scholar]
34. Egger 1000, Davey Smith One thousand, Schneider K, Minder C. Bias in meta-analysis detected by a simple, graphical examination. BMJ. 1997;315:629–634. [PMC costless commodity] [PubMed] [Google Scholar]
35. Cuijpers P, Ph D.. Meta-Analyses in Mental Health Research. A Practical Guide. Amsterdam: Vrije Universiteit; 2016. [Google Scholar]
36. van der Gaag M, Valmaggia LR, Smit F. The effects of individually tailored formulation-based cognitive behavioural therapy in auditory hallucinations and delusions: a meta-analysis. Schizophr Res. 2014;156:30–37. [PubMed] [Google Scholar]
37. Lynch D, Laws KR, McKenna PJ. Cognitive behavioural therapy for major psychiatric disorder: does it really work? A meta-analytical review of well-controlled trials. Psychol Med. 2010;xl:9–24. [PubMed] [Google Scholar]
38. Jauhar S, McKenna PJ, Radua J, Fung E, Salvador R, Laws KR. Cognitive-behavioural therapy for the symptoms of schizophrenia: systematic review and meta-analysis with examination of potential bias. Br J Psychiatry. 2014;204:20–29. [PubMed] [Google Scholar]
39. Turner DT, MacBeth A, Larkin A, Livingstone K, Campbell A, Hutton P. A randomised experimental manipulation of the jumping-to-conclusions bias in psychosis; impact of cursory meta-cognitive training on capacity. 2017.
40. Upthegrove R, Marwaha S, Birchwood M. Depression and schizophrenia: cause, consequence or trans-diagnostic result?Schizophr Balderdash. 2016;43:sbw097. [PMC gratuitous commodity] [PubMed] [Google Scholar]
41. Liemburg E, Castelein Due south, Stewart R, van der Gaag M, Aleman A, Knegtering H; Genetic Risk and Outcome of Psychosis (Grouping) Investigators Two subdomains of negative symptoms in psychotic disorders: established and confirmed in two big cohorts. J Psychiatr Res. 2013;47:718–725. [PubMed] [Google Scholar]
42. Stiekema AP, Liemburg EJ, van der Meer 50 et al. . Confirmatory cistron analysis and differential relationships of the two subdomains of negative symptoms in chronically sick psychotic patients. PLoS One. 2016;11:e0149785. [PMC free article] [PubMed] [Google Scholar]
43. Staring AB, Ter Huurne MA, van der Gaag M. Cerebral behavioral therapy for negative symptoms (CBT-northward) in psychotic disorders: a airplane pilot report. J Behav Ther Exp Psychiatry. 2013;44:300–306. [PubMed] [Google Scholar]
44. Schizophrenia Commission. The abandoned affliction: a report from the Schizophrenia Committee. London: Rethink Mental Illness; 2012. [Google Scholar]
45. Wampold BE, Imel ZE.. The Great Psychotherapy Fence: The Testify for What Makes Psychotherapy Piece of work. Abingdon, United Kingdom: Routledge; 2015. [Google Scholar]
46. Wampold Be, Flückiger C, Del Re Air conditioning et al. . In pursuit of truth: a critical examination of meta-analyses of cognitive behavior therapy. Psychother Res. 2017;27:xiv–32. [PubMed] [Google Scholar]
49. Tas C, Danaci AE, Cubukcuoglu Z, Brüne M. Affect of family involvement on social cognition grooming in clinically stable outpatients with schizophrenia—a randomized pilot study. Psychiatry Res. 2012;195:32–38. [PubMed] [Google Scholar]
fifty. Roberts DL, Combs DR, Willoughby One thousand et al. . A randomized, controlled trial of Social Cognition and Interaction Training (SCIT) for outpatients with schizophrenia spectrum disorders. Br J Clin Psychol. 2014;53:281–298. [PubMed] [Google Scholar]
52. Chien H, Ku C, Lu R, Chu H, Tao Y, Chou Yard. Effects of Social Skills Training on Improving Social Skills of Patients With Schizophrenia. 2003;XVII:228–236. [PubMed] [Google Scholar]
53. Choi KH, Kwon JH. Social cognition enhancement training for schizophrenia: a preliminary randomized controlled trial. Community Ment Health J. 2006;42:177–187. [PubMed] [Google Scholar]
54. Dobson DJ, McDougall G, Busheikin J, Aldous J. Effects of social skills training and social milieu treatment on symptoms of schizophrenia. Psychiatr Serv. 1995;46:376–380. [PubMed] [Google Scholar]
55. Granholm E, McQuaid JR, McClure FS et al. . A randomized, controlled trial of cognitive behavioral social skills training for middle-aged and older outpatients with chronic schizophrenia. Am J Psychiatry. 2005;162:520–529. [PubMed] [Google Scholar]
56. Granholm E, McQuaid JR, McClure FS et al. . Randomized controlled trial of cognitive behavioral social skills grooming for older people with schizophrenia: 12-month follow-upward. J Clin Psychiatry. 2007;68:730–737. http://www.ncbi.nlm.nih.gov/pubmed/17503982. [PubMed] [Google Scholar]
57. Granholm Eastward, Holden J, Link PC, McQuaid JR, Jeste DV. Randomized controlled trial of cerebral behavioral social skills grooming for older consumers with schizophrenia: defeatist performance attitudes and functional issue. Am J Geriatr Psychiatry. 2013;21:251–262. [PMC costless commodity] [PubMed] [Google Scholar]
66. Lukoff D, Wallace CJ, Liberman RP, Shush K. A holistic program for chronic schizophrenic patients. Schizophr Balderdash. 1986;12:274–282. [PubMed] [Google Scholar]
67. Liberman RP, Wallace CJ, Blackwell Thousand, Kopelowicz A, Vaccaro JV, Mintz J. Skills training versus psychosocial occupational therapy for persons with persistent schizophrenia. Am J Psychiatry. 1998;155:1087–1091. http://world wide web.ncbi.nlm.nih.gov/pubmed/9699698. [PubMed] [Google Scholar]
seventy. Patterson TL, Bucardo J, McKibbin CL et al. . Development and pilot testing of a new psychosocial intervention for older Latinos with chronic psychosis. Schizophr Bull. 2005;31:922–930. [PubMed] [Google Scholar]
71. Rus-Calafell M, Gutiérrez-Maldonado J, Ortega-Bravo Thou, Ribas-Sabaté J, Caqueo-Urízar A. A brief cognitive-behavioural social skills training for stabilised outpatients with schizophrenia: a preliminary study. Schizophr Res. 2013;143:327–336. [PubMed] [Google Scholar]
Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5890475/
0 Response to "Research Suggests That Treatments Such as Individual Social Skills Training and Family Interventions"
Post a Comment