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A cognitive remediation training for young adults with psychotic disorders to support their participation in education — study protocol for a pilot randomized controlled trial

Abstract

Background

Most severe mental disorders have their onset between the age of 17 and 27, a time when many young adults begin participating in secondary or post-secondary education. The cognitive deficits typically associated with psychiatric disorders, especially psychotic disorders, increase the risk of leaving school early, which can lead to a reduction in employment opportunities later on in life and, in turn, a poorer long-term prognosis. Therefore, specific interventions aiming to improve these cognitive functions are needed. Cognitive remediation (CR) aims to improve cognitive functioning and may increase real-world functioning in educational performance. This study aims to examine the feasibility and applicability of a CR training named Mindset for students with psychotic disorders in the Netherlands.

Methods/design

Sixty students diagnosed with a psychotic disorder and currently reporting cognitive deficits will be included from four Dutch Mental Health Care institutes. Half of the participants (N = 30) will be randomly assigned to the CR training consisting of twelve, individual, weekly 1-h meetings. The other half will be assigned to an active control condition consisting of twelve weekly assignments that will be sent by email aiming to improve school performance. Students will be evaluated at baseline (T0), directly after finishing the CR training or control intervention (T1), and 6 months later (T2). Treatment feasibility will be the primary outcome, using evaluation forms, interviews with trainers and participants, number of study drop outs, and patient eligibility and recruitment rates. School functioning, cognitive functioning, and strategy use will also be assessed to get a preliminary idea of the potential effectiveness of the intervention.

Discussion

The CR training in this study will provide real-world examples and exercises aimed to teach useful strategies to cope with the cognitive deficits experienced by students with psychotic disorders. Furthermore, since students with other psychiatric disorders might also experience cognitive deficits, the results of this study may also provide some further implications for future studies on the effect of this CR training for students with these disorders.

Trial registration

The study was registered with Trialregister.nl, no. NL6590 (NTR6764), date registered: September 7, 2017. Register name: Mindset. A cognitive rehabilitation training for young adults with psychotic spectrum disorder in an educational setting: A pilot study.

Protocol version: 3, date December 23, 2019

Peer Review reports

Background

Most psychiatric disorders include having cognitive problems and have their onset between the age of 17 and 27 [1], which is often the period in which many young adults participate in higher education.

Cognitive deficits are negatively associated with functional outcomes like social functioning, independent living skills, occupational functioning, and also level of educational success [2,3,4].

Between 6 and 20% of the students participating in higher education experience mental health problems [5,6,7,8], and nearly 55% of this group is severely hindered by their psychiatric disorders during college [9]. Research shows that students with psychiatric problems spend on average more time on their education per week. However, they also receive lower grades compared to students without psychiatric problems [10] and are at higher risk of early school leaving [10, 11], which results in having reduced chances of obtaining employment afterwards. This reduction in social participation often leads to worsening of the prognosis of the disorder on a long-term basis [12]. Offering support to these students while they are enrolled in school might increase their chances of educational success [13] and could mitigate the issues of unemployment and social isolation seen in the older adult population. The cognitive deficits associated with psychiatric disorders are, compared to other psychiatric disorders [14], most prominent in people with psychotic disorders [15, 16]. These cognitive deficits are often already present before the first onset of the psychotic disorder [17].

One intervention aimed at decreasing cognitive deficits is cognitive remediation (CR). CR is defined as “a behavioral, training-based intervention that aims to improve cognitive processes (attention, memory, executive function, social cognition, or metacognition) with the goal of durability and generalization” [18]. Previous studies have shown that CR has positive effects on almost all cognitive abilities of people with schizophrenia [13, 19,20,21,22], with considerable variability in effects between studies. Various moderators for the effectiveness of CR were identified. Previous studies, for example, have demonstrated that baseline cognition can positively impact the outcome of CR, with severe cognitive impairment at baseline resulting in poorer study outcome post-training compared to moderate cognitive impairments [23]. In addition, medication usage [24], gender [25], age of onset [26], and self-confidence [27] have been identified as moderating factors. In addition, the use of “bridging activities” to daily life, like supported employment, has been shown to be more effective than cognitive training alone [28].

Most studies on the effects of CR have focused either on cognition [29, 30] or cognitive functioning in an employment context [19,20,21, 31,32,33,34] in people with schizophrenia. These studies indicated that CR improves cognitive functioning, especially when combined with supported employment [19,20,21, 35].

Positive results have been associated with young adults; specifically, young adults have more cognitive improvements after CR [36,37,38], which could be possibly explained by brain plasticity in young adults early in the course of the illness [39, 40]. Offering CR to young adults might therefore lead to better results as compared to older adults with more chronic forms of psychotic disorders [39, 40]. The few studies that have focused on CR for adolescents or young adults with psychotic disorders in an educational setting [13, 41, 42] demonstrated a positive effect on cognition [42], academic functioning, and self-esteem [13], as well as a decrease in self-reported academic difficulties [41].

A CR for young students with a psychotic disorder is not available in the Netherlands yet. This study therefore aims to examine the feasibility and applicability of a CR training in an educational setting for students with psychotic disorders. To do this, a CR training developed by Mullen and colleagues [41] was translated to Dutch, adapted to the Dutch context, and was named Mindset. Mindset will be studied as a pilot randomized controlled trial at four mental health care (MHC) services in the Netherlands.

Methods

Participants

Sixty students will be recruited from four Dutch Mental Health Care services (in Dutch: Geestelijke Gezondheidszorg; GGz), namely GGz Drenthe, GGz Friesland, Lentis Groningen, and the University Center of Psychiatry (UCP), Groningen. The recruitment will be done by MH professionals, who will distribute information brochures at the participating MHC institutions. Inclusion criteria are (i) receiving treatment from an Early Intervention Psychosis team of one of the participating MHC services; (ii) officially diagnosed with a psychotic disorder by one of the participating MHC services; (iii) self-report of cognitive deficits which interfere with the ability to participate in coursework; (iv) aged above 18; (v) participating in mainstream postsecondary education: intermediate vocational education, higher vocational education, or university; (vi) at least 1 year remaining in education after start of the training or control intervention, and (vii) able to give written informed consent. Exclusion criteria are (i) having participated in a supported education or cognitive remediation program in the past year and (ii) having an estimated IQ < 75 (identified by a MH professional). Daily treatment of the participants will be unchanged.

Sample size calculation

Sample size calculations are not applicable since the study focuses on the feasibility and applicability of the cognitive remediation training. According to the literature, a sample size of 25 to 30 per group should be sufficient to estimate moderate effect sizes in a pilot test for adequacy and acceptability of the instruments using α = 0.5 [43, 44]. We therefore aim for 30 participants per group. Participants will be recruited from the four participating sites providing variation in demographic and clinical characteristics useful for conclusions on general feasibility.

Study procedures

The Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) 2013 checklist [45] was adhered to and is provided in Additional file 1. After study procedures have been fully explained, participants will provide written informed consent and will then be randomized into either the CR training or the active control group (see SPIRIT 2013 Fig. 1).

Fig. 1
figure 1

SPIRIT flow diagram of the study procedure showing enrolment, interventions, and assessments

Feasibility, applicability, and exploratory efficacy outcomes will be assessed at baseline (T0), upon completion of the CR training or control intervention (post-treatment; T1), and 6 months after T1 (follow-up; T2). The written evaluation forms for fidelity and feasibility will be completed by the trainers after each session. Evaluation interviews will be held at the end of the training (T1) with both participants and trainers and will be performed by the researcher involved.

Half of the participants will receive the CR training (intervention group), whereas the other half will receive study assignments without additional support (control group). Participants in the control group are offered Mindset 1 year after the experimental group completes the intervention. Participants will receive compensation (three times gift coupons of 12.50 euro each) for filling in the questionnaires at baseline (T0), post-treatment (T1), and during the follow-up, 6 months after T1 (T2).

Interventions

CR training

The Mindset training is designed to improve the cognitive abilities of students with psychiatric disorders, including psychotic disorders, and is aimed at improving academic outcomes. The training consists of twelve individual, 1-h meetings spread over 12 weeks. Personal educational goals of the participants will be formulated during an introductory meeting (session zero). The students will be asked to relate the skills and strategies practiced during the training to their own educational goals. During the training, four cognitive domains will be targeted: (1) prospective memory, (2) attention and concentration, (3) verbal learning and memory, and (4) cognitive flexibility and problem-solving. All sessions follow the same structure: review of last session’s home exercises, overview and importance of the current session’s topic, practice exercises, and review of new home exercises. The training includes practical strategies such as agenda usage and paying attention during class, forming a direct link to educational settings. The trainers are professionals from the participating MHC services and received a 4-day training in the CR by the developer of the original CR training.

Control group

Mindset will be compared to an active control condition to control for attention. The control group also begins with a session zero to formulate their educational goals and will receive twelve weekly assignments via e-mail, without any face-to-face contact involved. The home assignments will take about 1 h to complete. No feedback will be provided on these assignments. The topics of the assignments are designed in such a way that they do not focus on cognitive functions but still provide some educational support. Examples of the exercises are “requesting for support,” “dealing with stress,” and “responding to feedback.”

Measurements

A full list of measurements and measure points is given in the SPIRIT flow diagram (Fig. 1).

At baseline, the following demographic information will be collected per participant: age, gender, alcohol and drug usage, cultural background, education (previous and current), level of education, number of hours spent on their education per week (i.e., school credit hours and homework), living arrangements (living with parents/roommate(s)/partner and/or having children), employment information (number of hours), diagnosis (including age of onset and symptom severity), and medication use (name and frequency).

Feasibility, applicability, and fidelity outcome measures

The main study outcomes are study feasibility and applicability and will be measured using an evaluation form completed by the trainers, an interview with trainers and participants, and by examining study dropouts. In addition, patient eligibility and recruitment rates will be included as a measurement for feasibility and applicability of the training within this population as the number of potentially eligible people compared to the number of actual participants.

Training fidelity will be measured by the previously described interview and a session evaluation form, which contains a short checklist of all session components. The evaluation forms are designed in such a way that the trainer can provide information on how much of the sessions they have covered per exercise. The form also allows the trainer to provide feedback for each exercise within the session, as well as general feedback about the session. The fidelity measurements will provide greater understanding and description of how the training criteria have been attained, or why they may not have been attained.

The evaluation interviews will be semi-structured, audio-recorded (with consent), and transcribed. During the interview, questions like “Which session did you find most useful?” and “Are there aspects of the training that can be, or need to be, improved?” will be asked. All interviews will be encoded by two independent researchers. The codes obtained from both researchers will be compared and discussed, resulting in one coding file for each of the interviews.

Exploratory outcome measures

School- and cognitive functioning will be measured as exploratory outcomes to get a first impression of the efficacy of Mindset. To do this, objective and subjective school functioning, school satisfaction, school self-efficacy, subjective school functioning, strategy use, and cognitive functioning will be collected. In addition, information concerning interruptions in schooling (like school dropouts) will be gathered during the interviews.

Objective school functioning

School performance will be calculated as percentage of courses successfully completed using the following formula: \( \frac{\mathrm{succesfully}\ \mathrm{completed}\ \mathrm{courses}}{\mathrm{number}\ \mathrm{of}\ \mathrm{courses}}\times 100\% \), because the number of courses will not be the same for all participants. Therefore, an absolute number will not provide enough information about the total performance per student.

Subjective school functioning

The Educational Barriers Questionnaire or EBQ (Mullen MG. Educational Barriers Questionnaire. 2016. Unpublished) will be used to measure self-reported school functioning. The EBQ is a questionnaire including 34 problems students might experience when going to school, such as problems with “taking notes” and “prioritizing tasks.” The EBQ uses a 5-point scale, ranging from 1 (not at all) to 5 (very often). Total scores on the questionnaire will be used for analyses, where higher scores indicate experiencing more problems.

School satisfaction

School satisfaction will be measured using the Multidimensional Students’ Life Satisfaction Scale (MSLSS)—school subscale [46]. This subscale consists of nine statements about school satisfaction, for example, “I look forward to going to school” and “There are many things about school I don’t like.” Respondents are asked to indicate on a 4-point scale ranging from 1 (rarely) to 4 (always) to what extent the statements are applicable to them. Negative items like “I wish I didn’t have to go to school” will be reverse-scored. Higher scores indicate higher levels of school satisfaction.

School efficacy

School efficacy will be measured using the College Self-Efficacy Inventory or CSEI [47]. The CSEI is a 22-item self-reported questionnaire measuring student confidence levels related to their use of post-secondary educational skills such as “write a course paper” and “ask a professor or instructor a question outside of class.” The CSEI uses a 9-point scale, ranging from 0 (totally unconfident) to 8 (totally confident). Total scores will be used for analyses, where higher scores indicate higher confidence levels throughout the scale.

Strategy use and cognitive functioning

Strategy use and subjective cognitive functioning will be measured using the Cognitive Problems and Strategies Assessment, or CPSA [32]. This questionnaire contains 35 cognitive problems, such as “I have difficulty remembering to do things that I have scheduled” and 30 strategies like “I keep a written list of things I need to do.” The CPSA uses a 4-point scale ranging from 0 (rarely/never) to 3 (always). Total scores on “cognitive problems” and on “strategy use” will be calculated and used for analysis separately. Higher scores on “cognitive problems” indicate having more problems, and higher scores on “strategy use” indicate using more strategies.

Cognitive functioning

Objective cognitive functioning will be measured using the Cambridge Neuropsychological Test Automated Battery or CANTAB [48]. The CANTAB includes seven different modules measuring various neurocognitive functions and processes, including working memory, episodic memory, executive function, emotion recognition, cognitive flexibility, processing speed, and sustained attention.

Randomization and blinding procedures

Randomization will be done in blocks of four and six participants, stratified for gender to control for possible gender effects [25]. Participants will be randomly assigned to either the CR or control condition by an independent researcher. Assessments will be done by trained bachelor or master level students in Psychology or Nursing, supervised by senior psychologists. The assessors are blinded to the conditions of the participants.

Handling and storage of data and documents

Data will be handled confidentially in compliance with the Dutch Personal Data Protection Act (Wet Bescherming Persoonsgegevens; WBP). Research assistants will assign each participant with a unique identification code. The key to this code and a subject identification list will be safeguarded by the project manager. All data will be stored and locked at the Hanze University of Applied Sciences Groningen. Raw research data will be stored until 15 years after finishing the study and will be destroyed thereafter according to the code of proper use (“Gedragscode Gezondheidsonderzoek”; www.fmwv.nl).

Dissemination

Dissemination of the results of the project will take place through scientific publication(s) in (inter)national peer-reviewed journals; presentations and workshops during national and international conferences of associations of educational staff, mental health workers, and rehabilitation specialists; a closing symposium; online introductory course on Supported Education for mental health professionals, students, and educational professionals; newsletters; and social media (LinkedIn groups, Twitter, Facebook, etc.).

Proposed analyses

Analyses will be performed according to the “intention to treat” (ITT) principle. Descriptive statistics will be provided for all normally distributed variables in the form of mean scores and standard deviations for each of the assessment instruments. Descriptive statistics of variables that are not normally distributed will be represented as median scores and ranges. Data from the interviews will be qualitatively analyzed. Differences in the quantitative outcomes will be examined for T0 to T2 using repeated measures of variance with the MANOVA test using 95% confidence levels providing estimates of potential treatment effects since real significance and hypothesis testing is not applicable for a pilot study.

Discussion

Cognitive remediation (CR) has shown positive effects across almost all cognitive domains [13, 19,20,21]. However, it should be noted that most of the previous CR research was conducted among samples of older adults with mean ages that ranged between the 30 and 47 years [19, 22] and were focusing on cognitive functioning in an employment context [19,20,21, 31,32,33,34]. Most cognitive skills needed for employment are also necessary for educational success. Furthermore, successfully completing one’s education influences one’s future perspective on employment and consequently on one’s social inclusion. Decreased social inclusion can lead to a poorer prognosis [12], warranting for interventions like CR in an educational setting. However, CR in educational settings is still studied by only a few [13, 41, 42].

In addition, young adults in the early phase of illness may have greater brain plasticity, which is needed for recovery and learning. Offering CR to students aged between 17 and 27 might therefore lead to better results as compared to older adults with a more long-term psychotic disorder [39, 40].

This study will test the feasibility and applicability of a CR training named Mindset for students with psychotic problems in the Netherlands. Mindset incorporates practical strategies such as agenda usage and paying attention during class, forming a direct link to educational settings. The use of these “bridging activities” has been shown to be more effective than cognitive training [28].

Although this is a pilot study with a relatively small sample size, the results of this study will provide a good basis for further research on CR in the context of education. Furthermore, because cognitive deficits are not only seen in students with psychotic disorders, but also in students with other psychiatric disorders [2, 3, 35], the results of this study might also provide some implications for further studies on the effect of CR on students with other psychiatric disorders.

Availability of data and materials

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

Abbreviations

CANTAB:

Cambridge Neuropsychological Test Automated Battery

CCMO:

Central Committee on Research Involving Human Subjects; in Dutch: Centrale Commissie Mensgebonden Onderzoek

CPSA:

Cognitive Problems and Strategies Assessment

CR:

Cognitive remediation

CSEI:

College Self-Efficacy Inventory

EBQ:

Educational Barrier Questionnaire

GGz:

Mental Health Care institution (in Dutch: Geestelijke Gezondheidszorg)

HBO:

Higher vocational education (in Dutch: Hoger beroepsonderwijs)

IC:

Informed consent

MBO:

Intermediate vocational education (in Dutch: Middelbaar beroepsonderwijs)

METc:

Medical Research Ethics committee (MREC; in Dutch: Medisch Ethische Toetsings commissie)

MHC:

Mental health care

MSLSS:

Multidimensional Students’ Life Satisfaction Scale

SPIRIT:

Standard Protocol Items: Recommendations for Interventional Trials

US:

United States

WBP:

Personal Data Protection Act (in Dutch: Wet Bescherming Persoonsgegevens)

WMO:

Medical Research Involving Human Subjects Act (in Dutch: Wet Medisch-wetenschappelijk Onderzoek met Mensen)

WO:

University education (in Dutch: Wetenschappelijk Onderwijs)

References

  1. Kessler RC, Amminger GP, Aguilar-gaxiola S, Alonso J, Lee S, Ustun TB. Age of onset of mental disorders: a review of recent literature. Curr Opin Psychiatry. 2007;20:359–64.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Green MF. Cognitive impairment and functional outcome in schizophrenia and bipolar disorder. J Clin Psychiatry. 2006;67:3–8.

    Article  PubMed  Google Scholar 

  3. Green MF, Kern RS, Heaton RK. Longitudinal studies of cognition and functional outcome in schizophrenia: implications for MATRICS. Schizophr Res. 2004;72(1):41–51.

    Article  PubMed  Google Scholar 

  4. Milev P, Ho B, Arndt S, Andreasen NC. Predictive values of neurocognition and negative symptoms on functional outcome in schizophrenia: a longitudinal first-episode study with 7-year follow-up. Am J Psychiatry. 2005;162(3):495–506.

    Article  PubMed  Google Scholar 

  5. Broenink N, Gorter K. Studeren met een handicap: Belemmeringen die studenten met lichamelijke beperking, psychische klachten of dyslexie in het hoger onderwijs ondervinden. Verwey-Jonker Inst. 2001;(September).

  6. Macaskill A. The mental health of university students in the United Kingdom. Br J Guid Couns. 2012;41(4):426–41.

    Article  Google Scholar 

  7. Prince JP. University student counseling and mental health in the United States: trends and challenges. Ment Heal Prev 2015;3(1–2):5–10. Available from: https://doi.org/10.1016/j.mhp.2015.03.001.

  8. Cuijpers P, Auerbach RP, Benjet C, Bruffaerts R, Ebert D, Karyotaki E, et al. The World Health Organization World Mental Health International College Student initiative: an overview. Int J Methods Psychiatr Res. 2019:e1761.

  9. Plemper E. Studeren met een handicap in 2005: Belemmeringen van studenten met lichamelijke beperking, psychische klachten of dyslexie in het hoger onderwijs. Verwey-Jonker Inst. 2005;.

  10. Van den Broek A, Muskens M, Winkels J. Studeren met een functiebeperking 2012. De relatie tussen studievoortgang, studie-uitval en het gebruik van voorzieningen. Eindmeting onderzoek ‘Studeren met een functiebeperking’. Nijmegen Res Ned / ITS. 2013;.

  11. Meng C, Huijgen T, Van Broekhoven K, Sijbers E. Schoolverlaters tussen onderwijs en arbeidsmarkt 2013. Researchcentrum voor Onderwijs en Arbeidsmarkt: Maastricht University; 2016.

    Google Scholar 

  12. Brennaman L, Lobo ML. Recovery from serious mental illness: a concept analysis. Issues Ment Health Nurs. 2011;32(10):654–63.

    Article  PubMed  Google Scholar 

  13. Kidd SA, Kaur J, Virdee G, George TP, McKenzie K, Herman Y. Cognitive remediation for individuals with psychosis in a supported education setting: a randomized controlled trial. Schizophr Res. 2014;157(1–3):90–8.

    Article  PubMed  Google Scholar 

  14. Heinrichs RW, Zakzanis KK. Neurocognitive deficit in schizophrenia: a quantitative review of the evidence. Neuropsychology. 1998;12(3):426–45.

    Article  CAS  PubMed  Google Scholar 

  15. Addington J, Brooks BL, Addington D. Cognitive functioning in first episode psychosis: initial presentation. Schizophr Res. 2003;62(1–2):59–64.

    Article  PubMed  Google Scholar 

  16. Rund BR, Melle I, Friis S, Larsen TK, Midbøe LJ, Opjordsmoen S, et al. Neurocognitive dysfunction in first-episode psychosis: correlates with symptoms, premorbid adjustment, and duration of untreated psychosis. Am J Psychiatry. 2004;161(3):466–72.

    Article  PubMed  Google Scholar 

  17. Kahn RS, Keefe RSE. Schizophrenia is a cognitive illness: time for a change in focus. JAMA Psychiatry. 2013;70(10):1107–12.

    Article  PubMed  Google Scholar 

  18. Wykes T, Spaulding WD. Thinking about the future cognitive remediation therapy-what works and could we do better? Schizophr Bull. 2011;37(SUPPL. 2):S84.

    Google Scholar 

  19. Mcgurk SR, Ph D, Twamley EW, Ph D, Sitzer DI, Ph D, et al. A meta-analysis of cognitive remediation in schizophrenia. 2007;(December):1791–802.

  20. Kurtz MM, Seltzer JC, Fujimoto M, Shagan DS, Wexler BE. Predictors of change in life skills in schizophrenia after cognitive remediation. Schizophr Res. 2009;107(2–3):267–74.

    Article  PubMed  Google Scholar 

  21. Hodge MAR, Siciliano D, Withey P, Moss B, Moore G, Judd G, et al. A randomized controlled trial of cognitive remediation in schizophrenia. Schizophr Bull. 2010;36(2):419–27.

    Article  PubMed  Google Scholar 

  22. Wykes T, Huddy V, Cellard C, Mcgurk SR, Czobor P. A meta-analysis of cognitive remediation for schizophrenia: methodology and effect sizes. Am J Psychiatry. 2011;168(5):472–85.

    Article  PubMed  Google Scholar 

  23. Lindenmayer JP, Fregenti S, Kang G, Ozog V, Ljuri I, Khan A, et al. The relationship of cognitive improvement after cognitive remediation with social functioning in patients with schizophrenia and severe cognitive deficits. Schizophr Res. 2017;185:154–60.

    Article  CAS  PubMed  Google Scholar 

  24. Medalia A, Opler LA, Saperstein AM. Integrating psychopharmacology and cognitive remediation to treat cognitive dysfunction in the psychotic disorders. CNS Spectr. 2014;19(2):115–20.

    Article  PubMed  Google Scholar 

  25. Revell ER, Neill JC, Harte M, Khan Z, Drake RJ. A systematic review and meta-analysis of cognitive remediation in early schizophrenia. Schizophr Res. 2015;168(1–2):213–22.

    Article  PubMed  Google Scholar 

  26. Frangou S. Cognitive function in early onset schizophrenia: a selective review. Front Hum Neurosci. 2009;3(January):1–6.

    Google Scholar 

  27. Rose D, Wykes T, Farrier D, Doran AM, Sporle T, Bogner D. What do clients think of cognitive remediation therapy?: A consumer-led investigation of satisfaction and side effects. Am J Psychiatr Rehabil. 2008;11(2):181–204.

    Article  Google Scholar 

  28. Bowie CR, McGurk SR, Mausbach B, Patterson TL, Harvey PD. Combined cognitive remediation and functional skills training for schizophrenia: effects on cognition, functional competence, and real-world behavior. Am J Psychiatry. 2012;169(7):710–8.

    Article  PubMed  Google Scholar 

  29. Peña J, Ibarretxe-Bilbao N, Sánchez P, Iriarte MB, Elizagarate E, Garay MA, et al. Combining social cognitive treatment, cognitive remediation, and functional skills training in schizophrenia: a randomized controlled trial. npj Schizophr. 2016;2(1):16037.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Wykes T, Reeder C, Landau S, Everitt B, Knapp M, Patel A, et al. Cognitive remediation therapy in schizophrenia: randomised controlled trial. Br J Psychiatry. 2007;190(5):421–7.

    Article  PubMed  Google Scholar 

  31. McGurk SR, Wykes T. Cognitive remediation and vocational rehabilitation. Psychiatr Rehabil J. 2008;31(4):350–9.

    Article  PubMed  Google Scholar 

  32. Twamley EW, Vella L, Burton C, Heaton RK, Jeste DV. Compensatory cognitive training for psychosis: effects in a randomized controlled trial. J Clin Psychiatry. 2012;73(9):1212–9.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Christensen TN, Wallstrøm IG, Stenager E, Bojesen AB, Gluud C, Nordentoft M, et al. Effects of individual placement and support supplemented with cognitive remediation and work-focused social skills training for people with severe mental illness: a randomized clinical trial. JAMA Psychiatry. 2019;185:122–9.

    Google Scholar 

  34. Twamley EW, Thomas KR, Burton CZ, Vella L, Jeste DV, Heaton RK, et al. Compensatory cognitive training for people with severe mental illnesses in supported employment: a randomized controlled trial. Schizophr Res. 2019;203:41–8.

    Article  PubMed  Google Scholar 

  35. Mendella PD, Burton CZ, Tasca GA, Roy P. St. Louis L, Twamley EW. Compensatory cognitive training for people with first-episode schizophrenia: results from a pilot randomized controlled trial. Schizophr Res. 2015;162(1–3):108–11.

    Article  PubMed  Google Scholar 

  36. Corbera S, Wexler BE, Poltorak A, Thime WR, Kurtz MM. Cognitive remediation for adults with schizophrenia: does age matter? Psychiatry Res. 2017;247:21–7.

    Article  PubMed  Google Scholar 

  37. McGurk SR, Mueser KT. Response to cognitive rehabilitation in older versus younger persons with severe mental illness. Am J Psychiatr Rehabil. 2008;11(1):90–105.

    Article  Google Scholar 

  38. Wykes T, Reeder C, Landau S, Matthiasson P, Haworth E, Hutchinson C. Does age matter? Effects of cognitive rehabilitation across the age span. Schizophr Res. 2009;113(2–3):252–8.

    Article  PubMed  Google Scholar 

  39. Berger G, Dell’Olio M, Amminger P, Cornblatt B, Phillips L, Yung A, et al. Neuroprotection in emerging psychotic disorders. Early Interv Psychiatry. 2007;1(2):114–27.

    Article  Google Scholar 

  40. Keshavan MS, Hogarty GE. Brain maturational processes and delayed onset in schizophrenia. Dev Psychopathol. 1999;11(3):525–43.

    Article  CAS  PubMed  Google Scholar 

  41. Mullen MG, Thompson JL, Murphy AA, Malenczak D, Giacobbe G, Karyczak S, et al. Evaluation of a cognitive remediation intervention for college students with psychiatric conditions. Psychiatr Rehabil J. 2017;40(1):103–7.

    Article  PubMed  Google Scholar 

  42. Ueland T, Rund BR. Cognitive remediation for adolescents with early onset psychosis: a 1-year follow-up study. Acta Psychiatr Scand. 2005;111(3):193–201.

    Article  CAS  PubMed  Google Scholar 

  43. Hertzog MA. Considerations in determining sample size for pilot studies. Res Nurs Health. 2008;31(4):341–54.

    Article  Google Scholar 

  44. Johanson GA, Brooks GP. Initial scale development: sample size for pilot studies. Educ Psychol Meas. 2010;70(3):394–400.

    Article  Google Scholar 

  45. Chan A, Tetzlaff JM, Gøtzsche PC, Altman DG, Mann H, Berlin JA, et al. Research methods and reporting SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ. 2013;346:e7586.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Seligson JL, Huebner ES, Valois RF. Preliminary validation of the Brief Multidimensional Student’s Life Satisfaction Scale. Soc Indic Res. 2003;61:121–45.

    Article  Google Scholar 

  47. Solberg VS, O’Brien K, Villareal P, Kennel R, Davis B. Self-efficacy and Hispanic college students: validation of the college self-efficacy instrument. Hisp J Behav Sci. 1993;15(1):80–95.

    Article  Google Scholar 

  48. Sahakian BJ. Owen a M. Computerized assessment in neuropsychiatry using CANTAB: discussion paper. R Soc Med. 1992;85(July):399–402.

    CAS  Google Scholar 

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Acknowledgements

Not applicable.

Funding

The study is funded by Agis Innovatiefonds (previously “Stichting Agis Zorginnovatiefonds”; Postbus 339, 3800 AH Amersfoort, www.agisinnovatiefonds.nl) and the Hanze University of Applied Sciences Groningen (Zernikeplein 23, 9747 AS Groningen). Agis Innovatiefonds had no role in developing the protocol. Hanze University was in the lead for the study design, writing the report, and the decision to submit the report for publication.

Author information

Authors and Affiliations

Authors

Contributions

LO, JH, WV, NB, LM, GP, and LK designed the protocol. MM and DM consulted in the development of the protocol and critically reviewed the manuscript for English writing. LO wrote the manuscript under the guidance of GP, JH, and LK. All authors read, reviewed, and contributed to the final version. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Lana K. M. Otto.

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Ethics approval and consent to participate

Prospective participants will receive oral and written information about the study and provide their written informed consent. All procedures are in accordance with the ethical standards of the responsible committee on human experimentation.

The study will be conducted according to the principles of the Declaration of Helsinki (64th WMO General Assembly, Fortaleza, Brazil October 2013, www.wma.net) and in accordance with the principles of the Medical Research Involving Human Subjects Act (WMO, 2012). The study was approved by the Medical Ethical Committee of the University Medical Center Groningen, no. 2017/308. All amendments will be notified to the METC that gave a favorable opinion.

A summary of the progress of the trial to the accredited METC once a year. Information will be provided on the date of inclusion of the first subject, numbers of subjects included, and numbers of subjects that have completed the trial, serious adverse events/ serious adverse reactions, other problems, and amendments.

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Supplementary information

Additional file 1.

SPIRIT 2013 Checklist.

Additional file 2.

CONSORT checklist of information to include when reporting a pilot trial.

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Otto, L.K.M., Hofstra, J., Mullen, M.G. et al. A cognitive remediation training for young adults with psychotic disorders to support their participation in education — study protocol for a pilot randomized controlled trial. Pilot Feasibility Stud 6, 54 (2020). https://doi.org/10.1186/s40814-020-00579-0

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