Abstract
Schizophrenia interventions incorporate improving quality of life and social functioning. Educational technologies are a potential treatment method for social skills development among individuals with schizophrenia. The objective of the study is to provide an overview of the characteristics and range of approaches of educational technologies in the context of social skills for individuals with schizophrenia. A scoping review methodological framework was applied. Search strategy was conducted on Ovid MEDLINE® and CINAHL Plus. Data were synthesized using a charting form for a logical, descriptive summary of results. The search yielded 771 results and 23 included studies that met eligibility criteria. The data showed persons with schizophrenia respond well to educational technologies to address illness self-management. Using technology in conjunction with traditional evidence-based interventions demonstrates promising results to improve social skills functioning. Occupational therapists can use educational technologies to decrease the gap in health care services and improve social support for individuals with schizophrenia.
Introduction
Schizophrenia (SZ) is a serious mental illness with common symptoms that affect social functioning (Torous & Keshavan, 2016). Individuals with SZ may have altered perspectives due to symptoms affecting social functioning and the major determinant of functional impairment lies in social skills (SS) deficits (Torous & Keshavan, 2016). SS consists of verbal and non-verbal behaviors that allow individuals to communicate, adapt to social situations, and maintain emotional awareness (Reich, 2017). Deficits in SS and social functioning, including difficulties communicating with others, maintaining relationships, and functioning in the community can be hindered due to symptoms of SZ (Couture et al., 2006).
In considering these social needs, occupational therapy (OT) treatments aim to increase independence in activities of daily living by addressing SS to create and maintain social relationships among individuals with SZ and extend beyond symptom reduction and focus on improving quality of life (QoL) and social interactions (Bridges et al., 2013). Our psychosocial interventions include psychological, cognitive, social, and cultural aspects pertaining to social experiences that influence behaviors and engagement in occupations (American Occupational Therapy Association [AOTA], 2002).
Despite evidence on the efficacy of psychosocial interventions, individuals with SZ experience long-standing SS deficits and often lack access to evidence-based psychosocial interventions, particularly those targeting social functioning and QoL (Fulford et al., 2021). Access is limited due to cost, duration, and intensity of existing interventions (Fulford et al., 2021). This contributes to a treatment gap for SZ, adversely affecting long term SS, illness self-management of symptoms and motivation for functional-based care (Westermann et al., 2020). To address this, a promising treatment method to teach SS virtually to individuals with SZ is through the use of educational technology (ET).
ETs include software and media that deliver audio, images, and video to facilitate learning through structured and personalized, technological programs and resources (Kurt, 2015). Common ETs include internet, computer, virtual reality (VR), video games, and applications (Colder Carras et al., 2014). Implementation of ETs may offer an efficient and emerging method to teach SS and decrease the access gap to evidence-based psychosocial mental health care for people with SZ (Thompson et al., 2018). Previous studies have demonstrated feasibility, efficacy, and satisfaction with existing smartphone interventions (Ben-Zeev et al., 2014) and VR as an effective SS training program for people with SZ (Adery et al., 2018). There are currently no studies that systematically map the type of technology, features, and application of ETs used to address SS for SZ.
Method
A scoping review methodology was used to identify the types of technology, features, and characteristics, application, and results of evaluations of ETs used to teach SS to individuals diagnosed with SZ (Arksey & O’Malley, 2005).
The three concepts that the search terms were derived from include mental illness, SS, and technology. After an iterative process that involved generating several search terms from the literature, navigating Yale MeSH Analyzer and consultation with a librarian, a search strategy was created. Search terms were inputted into the databases Ovid MEDLINE® and CINAHL Plus. The search terms were tested (Supplemental Appendix A), inclusion and exclusion criteria were refined (Supplemental Appendix B) and the list of articles was created in December 2020.
Studies were imported into Covidence to support unbiased screening and title and abstracts were first independently screened by the primary researchers. The primary researchers then independently conducted full-text reviews of the studies that met study criteria. Conflicts were resolved during weekly meetings and a third reviewer made the final decision.
A data charting form was created for a logical and descriptive summary of the results, which included intervention, type of technology, study population, outcome measures, and results of the studies. Throughout the data extraction process, the research team met regularly to develop consensus on the core themes present within the literature, which were discussed until consensus was reached.
Results
The initial search resulted in 1,036 studies that were imported for screening. After the screening and selection process, 23 articles satisfied criteria and were included in the study (Figure 1). All the articles were published between 2007 and 2020 and 69% (n = 16) published on or after 2017. The types of studies included were one meta-analysis, seven randomized controlled trials (RCTs), and 14 pilot studies. The duration of the studies ranged from 1.5 hours to 24 weeks (Table 1).
Study Characteristics.
Note. Dx = Diagnosis; SSD = schizophrenia spectrum disorders; iVR = immersive Virtual Reality; VE = virtual environment; SZ = Schizophrenia; SST = social skills training; PANSS = Positive and Negative Symptoms Scale; SQ = Subjective Questionnaire; VR = virtual reality; nVR = non-immersive Virtual Reality; AI = Assertion Inventory; SSIT = Simulated Social Interaction Test; SADS = Social Avoidance and Distress Scale; SFS = Social Functioning Scale; SS = social skills; RCT = randomized controlled trial; SST-VR = Social Skills Training Virtual Reality Role-playing; SST-TR = Social Skills Training Traditional Role-playing; SBS = Social Behavior Scales; RAS = Rathus Assertiveness Schedule; SPSI-R = Social Problem Solving Inventory-Revised; BIS/BAS = Behavioral Inhibition Scale/Behavioral Activation Scale; TEPS = Temporal Experience of Pleasure Scale; GAMES = Gaming Attitudes, Motivations, and Experiences Scales; INT = Integrated Neurocognitive Therapy; TAU = Treatment As Usual; PFA = Picture of Facial Affect Test; Emorec = Emotion Recognition Questionnaire; SCST-R = Schema Component Sequencing Task-Revised; AIHQ = Ambiguous Intentions Hostility Questionnaire; CR = Cognitive Remediation; BAC-J = Brief Assessment of Cognition in Schizophrenia; LASMI = Life Assessment Scale for Mentally Ill; MEMS = Mobile Enhancement of Motivation in Schizophrenia; GCT = Collaborative Goal Technology; QLS = Quality of Life Scale; MAP-SR = self-report Motivation and Pleasure Scale; ILFE = I am Learning Facial Expressions; SANS = Scale for Assessment of Negative Symptoms; SAPS = Scale for Assessment of Positive Symptoms; BPRS = Brief Psychiatric Rating Scale; SDLT = Serial Digit Learning Test; WCST = Wisconsin Card Sorting Test; CAPE = Community Assessment of Psychic Experiences; WAIS = Wechsler Adult Intelligence Scale; ESM = Experience Sampling Method; SMARTapp = Schizophrenia Mobile Assessment and RealTime feedback application; N/A = non-applicable; VR SST = Virtual reality social skills training; TR-SST = Traditional Social Skills Training; DPAS = Defeatist Performance Attitude Scale; ABS = Asocial Beliefs Scale; CAINS-MAP = Clinical Assessment Interview for Negative Symptoms Motivation and Pleasure; CDS = Calgary Depression Scale for Schizophrenia; A-QLS = Abbreviated Quality of Life Scale; BDI-2 = Beck Depression Inventory–Second Edition; ISI = Insomnia Severity Index; BMQ = Brief Medication Questionnaire; FOCUS-AV = FOCUS-Audio/Video; ES = Empowerment Scale; GES = General Self-Efficacy Scale; SSS = Social Support Satisfaction Scale; PSS = Personal and Social Performance Scale; VR-SAAFE = Virtual Reality System for Affect Analysis in Facial Expressions; SMS = short message service; FEEST = Facial Expression of Emotion: Stimuli and Test; IBI = Internet-based Intervention; iCBTp = Internet-based Cognitive-behavioral therapy for psychosis; PANSS-PF = positive factor of the PANSS; LSHS = Launay-Slade Hallucination Scale; PC = Paranoia Checklist; RSE = Rosenberg Self-Esteem Scale; ISI = Insomnia Severity Index; PSWQ-A = Penn State Worry Questionnaire abbreviated; PHQ = Patient Health Questionnaire; MAAS = Mindful Attention and Awareness Scale; ICQ = Brief Interpersonal Competence Questionnaire; K-INK = Brief version of the Incongruence Questionnaire; Psychol. QoL = Psychological Quality of Life; ISMI = internalized stigma of mental illness; MATS = Mobile Assessment and Treatment for Schizophrenia; ILSS = Independent Living Skills Survey; ANART = American national Adult Reading Test; MAP-SR = Motivation and Pleasure-Self Report scale; RFS = Role Functioning Scale; QOL-A = Quality of Life Scale-Abbreviated; R-SES = Revised Self-Efficacy Scale; MASS = Motivation and Skills Support; EMA = ecological momentary assessment.

PRISMA flow chart.
Educational Technology
Four types of ETs were identified that could teach SS to individuals with SZ. The first type were computer-based training programs, which included completing cognitive exercises on a computer with cognitive behavioral therapy principles embedded to increase SS (Iwata et al., 2017; Mueller et al., 2015; Nahum et al., 2014; Prikken et al., 2019; Westermann et al., 2020). In addition, web-based games involve playing online games that use principles of errorless learning, positive reinforcement, and self-instruction. The games were designed to address SZ social cognitive challenges (Choi et al., 2020; Gülkesen et al., 2017).
The second ET was VR, including immersive or non-immersive types. Immersive VR (iVR) is a computer-simulated experience involving a three-dimensional virtual environment (VE), head-mounted display (HMD) and joystick to simulate social interactions to develop and teach SS (Bisso et al., 2020). Non-immersive VR (nVR) includes a monitor that displays a non-3D VE but still allows participants to practice social interactions with virtual avatars (Bisso et al., 2020). mHealth applications were referred to as the use of smartphone communication technologies to promote health through evidence-supported interventions (de Almeida et al., 2018). mHealth applications incorporate written and video elements to share information individuals could access on smartphones. Participants could choose personalized goals and contact therapists for social support (Table 2).
Educational Technologies.
Notes. N/A = not applicable; VR = virtual reality; iVR = immersive Virtual Reality; VE = virtual environment; PC = Paranoia Checklist; HMD = head mounted display; nVR = non-immersive Virtual Reality; SST-VR = social skills training virtual reality role-playing; SST-TR = social skills training traditional role-playing; CR = cognitive remediation; MEMS = mobile enhancement of motivation in schizophrenia; ILFE = I am learning facial expressions; SZ = schizophrenia; SMARTapp = Schizophrenia Mobile Assessment and RealTime feedback application; ESM = experience sampling method; CBT = cognitive behavioral therapy; mCBTn = mobile-assisted cognitive behavioral therapy for negative symptoms; FOCUS-AV = FOCUS-audio/video; VR-SAAFE = virtual reality system for affect analysis in facial expressions; SMS = short message service; iCBTp = Internet-based Cognitive-behavioral therapy for psychosis; IBI = Internet-based Intervention; MATS = Mobile Assessment and Treatment for Schizophrenia; PRIME = Personalized Real-Time Intervention for Motivational Enhancement; SST = social skills training; EMA = ecological momentary assessment.
Themes
There were four key themes presented in the data, including: illness self-management, adjunct therapy approach, personalized goals, and motivation.
Illness self-management
Illness self-management skills include increasing social behaviors and engagement and managing SZ symptoms (Ben-Zeev et al., 2014) and was defined as being active in self-monitoring, avoiding high-risk stressors, adhering to medication, and implementing strategies when mental health challenges increase (Ben-Zeev et al., 2013). mHealth applications were identified as valuable tools to support SS (de Almeida et al., 2018; Hanssen et al., 2020; Schlosser et al., 2018). For example, the weCOPE application included four modules on illness self-management and indicated increases in social satisfaction with family, improvements in self-esteem, social support, and empowerment. In addition, statistically significant increases were found in the subscales “personal confidence and hope” and “willingness to ask for help” (de Almeida et al., 2018). Computer-based training programs were another ET used to increase illness-self management strategies. The internet-based intervention, iCBTp, indicated that participants tried to incorporate feedback received through written and video information into their daily lives. As a result, there was a significant effect on SS, mindfulness, and self-esteem (Westermann et al., 2020). The studies indicate when information was provided through an mHealth application or computer-based training program individuals experienced illness self-management in the domain of SS.
Adjunct therapy approach
Adjunctive therapy includes technology that is combined with conventional psychosocial treatments to supplement or enhance treatments (Rus-Calafell et al., 2014). Nine studies reported positive results with ETs as an adjunct therapy approach. An RCT by Iwata et al. (2017), identified that cognitive remediation using a computerized cognitive training software (CogPack) combined with traditional rehabilitation interventions resulted in significant improvements in social functioning behaviors compared with rehabilitation alone (Iwata et al., 2017). A meta-analysis by Prikken et al. (2019), identified there is no convincing evidence for the efficacy of adding computerized drill and practice training programs to standard treatment in clinical settings.
Ku et al. (2007), suggested that implementing a VR system to provide scenario-based conversational skills training could complement standard social skills training (SST) or role-playing interventions. Results demonstrated that the VR-based conversation skills training program could be used for conversation skills training (Ku et al., 2007). A pilot study addressed the effectiveness and utility of a VR-integrated conversation skills program as an adjunct technique and revealed high acceptance of the SST with the VR-integrated program, significant treatment satisfaction, improvements in emotional responses and SS mastery (Bekele et al., 2017; Rus-Calafell et al., 2014).
Results from a systematic review indicated that current evidence cannot yet confirm whether VR treatments are superior to standard or traditional psychosocial interventions for SST. However, emerging evidence suggests that outcomes for VR-based SST interventions were similar if not slightly more effective in improving conversational skills compared with standard interventions (Bisso et al., 2020). Overall, results highlighted that mHealth interventions and VR-integrated programs could be considered adjunctive to conventional SST approaches (Rus-Calafell et al., 2014; Schlosser et al., 2018).
Personalized goals
The mHealth applications and computer-based training programs were rated as more feasible, acceptable, and effective if goals could be personalized. mHealth applications ranged from participants independently creating their own goal such as in the PRIME application, to identifying goals from existing goal categories such as with the FOCUS and CBT2go applications. Participants could also choose goals specifically relating to improving SS such as with Mobile Enhancement of Motivation in Schizophrenia (MEMS) and short message service (SMS) text messaging applications and the SMARTapp (Hanssen et al., 2020; Luther et al., 2020; Pijnenborg et al., 2010).
The results of the studies indicated increased effort was put forth by participants to engage in more social interactions per day, resulting in significant improvements in attainment of their personalized social functioning goals (Granholm et al., 2012; Hanssen et al., 2020; Luther et al., 2020). Studies that utilized SMS text messaging and the computer-based training program iCBTp, did not personalize the information or set individualized goals for each participant and the authors stated that personalizing ETs and goals should be incorporated into their technology to increase motivation and engagement to achieve a higher percentage of goals through SS interventions (Pijnenborg et al., 2010; Westermann et al., 2020). Overall, various ETs that allowed goals to be chosen by the participant were associated with achieving a higher percentage of goals related to SS.
Motivation
Motivation components within treatment programs for SZ were common throughout this scoping review. Prikken et al. (2019) identified the incorporation of interactive gaming features through a computer-based training program could help overcome amotivation among SZ as these elements were motivating and meaningful. Authors suggested that iVR and web-based gaming motivational features of being present in the simulated VE or gaming software could elicit emotional and motivational stimuli and foster the development of interpersonal skills in real-world situations (Choi et al., 2020; Ku et al., 2007). Participants engaged more in the SST-VR group than the SST traditional role-play (SST-TR) group, which suggested that VR role-plays could increase motivation in SST (Bisso et al., 2020; Park et al., 2011).
Nahum et al. (2014), tested the feasibility and efficacy of a novel, online social cognitive training program called SocialVille. This pilot study identified that individuals with SZ showed improvements in social functioning and motivation. Mueller et al. (2015), evaluated the efficacy of a manualized cognitive remediation group therapy program called CogPack. The study resulted in high acceptability due to an emphasis on the development and maintenance of intrinsic motivation by considering individuals’ daily experiences and fostering group cohesion. Participants were provided a FOCUS-Audio/Video application that had a choice in either selecting video or written content modalities to deliver the intervention. The study identified that video and written modalities were equally rated as motivating and easy to understand by individuals with SZ.
Smartphone applications also enhanced participation and motivation for SZ treatment programs when participants received support through SMS. The mHealth applications incorporated SMS features with the goal of initiating and increasing social interactions with others. Using SMS as part of the intervention resulted in increased therapeutic rapport, motivation, and a sense of belonging which could help initiate social interactions for individuals with SZ (de Almeida et al., 2018; Luther et al., 2020). Fulford et al. (2020), incorporated text messaging, videos, and evidence-based approaches such as SST and cognitive behavioral therapy for psychosis into MASS. Results demonstrated that a key feature of MASS was SMS that reminded participants of their past social pleasures to increase motivation. Overall, smartphone application interventions have the potential to improve social functioning through increasing social motivation in individuals living with SZ (Fulford et al., 2020).
Discussion
The purpose of this scoping review was to provide an overview of the extent, range, and nature of evidence of existing ETs in the context of social skills (SS) interventions for individuals with SZ. Results suggested that people with SZ responded favorably to using mHealth applications to increase contact with services and illness self-management (Firth et al., 2016). Targeting SS and social competence of individuals with SZ can help compensate for the effects of SZ symptoms and help improve social affiliation, interpersonal supports and QoL (Kopelowicz et al., 2006). These findings correlate with the belief that illness self-management programs should aim to improve skills that help to pursue personal goals and not only focus on reducing symptoms (Mueser et al., 2002). In mental health practice, occupational therapists use the recovery model, which includes principles of hope, client-centered and holistic care. Recovery principles can be applied by occupational therapists for illness self-management approaches when using ETs by incorporating client-centered therapeutic modalities such as personalized health applications in mental health practice (Champagne & Gray, 2016). Illness self-management using mHealth applications and computer-based training programs can help persons with SZ develop better social and professional relationships and emerge as potentially new intervention approaches in the treatment of SZ (Mueser et al., 2002).
The existing ETs emerged as an adjunctive therapy component to conventional SS interventions for SZ. Adjunctive therapy includes components that are combined to supplement, enhance, or complement traditional psychosocial treatments (Granholm et al., 2020; Iwata et al., 2017). In this review, ETs were associated with greater improvements in social functioning when used as an adjunct to therapy compared with traditional SST approaches alone (Granholm et al., 2020; Iwata et al., 2017; Schlosser et al., 2018). ETs, particularly mHealth applications, have the potential to strengthen and shorten traditional, intensive approaches and improve access to evidence-based psychosocial interventions for SZ (Ben-Zeev et al., 2014; Granholm et al., 2020). Although the mHealth applications were used as an adjunct to in-person services, these ETs could be used as stand-alone community-based treatments (Ben-Zeev et al., 2014). Smartphone technology could improve SS in individuals with SZ, through extending the access of services and providing adjunctive support to existing, psychosocial treatment programs for SZ (Firth et al., 2016). When undergoing adjunctive therapy, occupational therapists can contribute to the development of a decision-making framework to choose suitable ETs for individuals with SZ (Chivilgina et al., 2021).
The mHealth applications and computer-based training programs resulted in higher rates of acceptability and usability if goals could be personalized. Researchers suggested that incorporating this feature was the next step to increasing the effectiveness of ETs (Westermann et al., 2020). Creating ETs to teach SS that allow participants to set goals is related to a person-centered care approach, which assumes clients are capable and knowledgeable in their own care and is a key component of OT practice (Mroz et al., 2015). This is consistent with literature that clients have preferences over personalized treatment goals (Bridges et al., 2013).
The importance of considering motivation within treatment programs is an important component ETs aim to address. Amotivation is a factor affecting QoL, social behaviors and engagement for individuals with SZ; however, research suggested that it is not commonly considered when developing treatment programs (Prikken et al., 2019). The VR, computer-based training program, and mHealth application emphasized fostering intrinsic motivation for SS training through addressing individual experiences and SS deficits (Prikken et al., 2019). In contrast to psychosocial interventions, findings highlight how ETs provide a method for generalization and continuation of SS for real-time self-management within dynamic social interactions. mHealth applications provide promise in addressing psychosocial outcomes in an on-demand and personalized format that targets social motivation (Fulford et al., 2021).
The use of ETs to teach SS is an emerging area of practice that has the potential to offer a new method of service delivery, pending on future research conducted to support ETs as an evidence-based intervention (Torous & Keshavan, 2016). Majority of the studies (n = 14) included were pilot studies, which indicates that the research in this area is new and represents the first step toward validating the treatment approach (Nahum et al., 2014). Nine of the studies reported positive, preliminary results for this area of intervention for SZ or schizophrenia spectrum disorder (SSD), which could warrant future RCTs to establish the efficacy of the ET interventions and extend these findings (Luther et al., 2020). The ETs approach to SZ treatment is emerging and only possible because of the recent and ongoing technical advancement of virtual and smartphone technologies (Ben Zeev et al., 2018). A recent study highlighted the feasibility of remotely delivering treatments to people with SSD which demonstrates that emerging research in ETs is being published (Dabit et al., 2021). Smartphone technology has the potential to significantly improve SS among SZ, through extending the reach of services and providing adjunctive support to evidence-based psychosocial interventions (Firth et al., 2016). Due to limited studies in this area of research, the results should be regarded with caution until more rigorous studies have been conducted to confirm the emerging results obtained in this scoping review (Torous & Keshavan, 2016). The findings suggested that with further development and validation, ETs could facilitate more naturalistic SS interventions for people with SZ than clinical psychosocial services at a fraction of the cost (Ben-Zeev et al., 2014). Occupational therapists could have a role in the development of therapeutic applications because of their knowledge in various occupational demands with diverse populations (Seifert et al., 2017). As advancements with ETs emerge, this could expand the range of therapeutic options for occupational therapists to provide SST to people with SZ (Ben-Zeev et al., 2014).
This scoping review presented limitations that should be noted. First, the databases used for the search were CINAHL Plus and Ovid MEDLINE; however, the inclusion of other databases may have identified other articles. In addition, the results are dependent on a list of search terms and different search terms may have led to different results. Finally, this scoping review extracted data from published literature up until December 2020, and new evidence may have been published since this analysis to augment or change these findings.
Implications for OT
Occupational therapists often assist individuals with SZ in developing and maintaining life skills and SS. Occupational therapists may have little experience with diverse ETs, resulting from limited exposure in OT academic training (Glegg et al., 2013). The implications of the scoping review for the field of OT are that ETs could be used as a potential intervention approach to target SS development among individuals with SZ (Fulford et al., 2020). As ETs continue to develop, they offer novel opportunities that will enable occupational therapists to provide continuous assessment and treatment (Ben-Zeev et al., 2014). Mental health care providers including occupational therapists could identify potential ETs that can be utilized through their practices (Ben-Zeev, 2018).
Conclusion
There is not one ET approach that is superior to the other types or other psychosocial interventions at this time; however, evidence supports that mHealth applications are currently the most researched at this time. The analysis of studies determined that the existing ETs could teach SS to individuals with SZ, and these positive, preliminary results serve as an area of untapped potential for mental health care.
Supplemental Material
sj-docx-1-otj-10.1177_15394492221108389 – Supplemental material for Educational Technologies for Teaching Social Skills to Individuals With Schizophrenia: Scoping Review
Supplemental material, sj-docx-1-otj-10.1177_15394492221108389 for Educational Technologies for Teaching Social Skills to Individuals With Schizophrenia: Scoping Review by Nicole Surdyka, Amy Clark and Andrea Duncan in OTJR: Occupation, Participation and Health
Footnotes
Acknowledgements
The author would like to acknowledge the support of the Department of Occupational Science and Occupational Therapy, University of Toronto.
Authors’ Note
The current study is a scoping review of the literature and is not research involving human subjects. Therefore, no REB application was submitted to the University of Toronto, Ontario.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) received no financial support for the research, authorship, and/or publication of this article.
Supplemental Material
Supplemental material for this article is available online.
References
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