Abstract
Introduction
Cognitive–behavioural therapy (CBT) consists of multiple treatment techniques for each treatment model and is tailored to the patient’s characteristics. Randomised controlled trials (RCTs) have reported that CBT is effective for attention-deficit/hyperactivity disorder (ADHD); however, which CBT components are effective is unknown. In order to provide the best treatment technique, it is important to know which therapeutic component or combination thereof is more effective and what the specific effect size is.
Methods and analysis
We will perform component network meta-analysis (cNMA). The search will include studies published from database inception up to 31 March 2022, in English. The electronic databases of MEDLINE (via PubMed), EMBASE, PsycINFO, ClinicalTrials.gov and Cochrane Library will be searched. We will systematically identify all RCTs in the treatment of ADHD between the ages of 10 and 60 years, comparing interventions composed of various CBT components with controlled interventions. We will perform pairwise and network meta-analysis with random effects to estimate summary ORs and standardised mean differences. We will assess the risk of bias in selected studies using the Cochrane risk of bias tool.
Ethics and dissemination
Since we will review published papers, ethical approval is not required. The results from this cNMA will provide a panorama of the CBT-based ADHD studies. The results of this study will be published in a peer-reviewed journal.
PROSPERO registration number
CRD42022323898.
Keywords: PSYCHIATRY, PAEDIATRICS, Developmental neurology & neurodisability
STRENGTHS AND LIMITATIONS OF THIS STUDY.
This study aims to identify components of cognitive–behavioural therapy (CBT) that work effectively in the treatment of attention-deficit/hyperactivity disorder.
Component network meta-analysis can estimate a specific gradual effect size for each component.
Our design can estimate the additive and synergistic effects of combined CBT components.
Individual participant data analysis is not planned, so assessing the prognostic factors and effect modifiers of the components identified in the results obtained will not be possible.
This review is limited to literature published in English.
Introduction
Attention-deficit/hyperactivity disorder (ADHD) is one of the neurodevelopmental disorders characterised by inattention, hyperactivity and impulsivity.1 Numerous studies have investigated the effectiveness of pharmacological and non-pharmacological therapies for ADHD.2–7 Currently, cognitive–behavioural therapy (CBT) is probably the most effective psychological treatment for ADHD, according to previous reviews.4–7 Not only for adults, CBT for the clinical manifestations of ADHD in adolescents is also effective with a large effect size.8 Notably, CBT is a complex psychotherapy that combines various techniques. The therapist adjusts to the patient’s background to provide the best treatment technique. It is important to know which therapeutic component or combination thereof is more effective and what is the specific effect size.
CBT components can be categorised for integrating evidence for complex interventions, and their relative effectiveness can be analysed in component network meta-analysis (cNMA).9 10 Although there is evidence of the effects of two CBT components in previous network meta-analyses, the scope of component examination is limited: cognitive and behavioural therapy only.11 12 In order to evaluate the efficacy of the CBT components for ADHD, analyses including organisation such as time management, cognitive therapy and third-wave CBT are required. In this study, we will apply cNMA and leverage a randomised network of evidence to disassemble and compare the various components of CBT.
This study aims to gain insights into the best CBT components and the effects of those combinations. CBT is a complex combination of diverse treatment techniques, but we will discover techniques that will be more focused on this task, which will help us develop efficient treatment programmes.
Methods and analysis
This protocol is reported following the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols;13 14 the analyses will be performed in adherence to a protocol in PROSPERO (CRD42022323898).
Eligibility criteria
We will include all randomised controlled trials (RCTs) to investigate the effectiveness of CBT components against a control intervention in treating adolescents and adults with ADHD. We will include adolescents and adults of both sexes, aged 10–60 years, with ADHD. Assuming that around age 10 years the logical thinking that is essential for individual CBT is developed,15 we set this age 10 years as the lower limit. Table 1 shows the target CBT components and their definitions. All interventions will be included when these components are used alone or in combination. Concomitant pharmacotherapy will only be permitted if there is no systematic difference in drug administration between study groups. Table 2 summarises the CBT components and their combinations; the table also includes details of the psychotherapies and control conditions we plan to include in this cNMA. Studies can only be included if a fixed combination of the CBT components has been obligatory in each treatment group.
Table 1.
List of included CBT components
| w | Waiting component | Participants are usually informed that they can receive active treatment once the waiting period is over. Participants assigned to the waiting list usually do not receive any treatment. However, some may receive psychoeducation or treatment as usual during the waiting period. In such cases, we will judge the ‘waiting component’ (w) as treatment. |
| pl | Placebo | This effect can occur when the participant believes they are receiving some active treatment. Psychological placebos and pill placebos are applicable. |
| ps | Psychological support | The relationship between the therapist and the patient can induce healing effects. The psychotherapist may use empathy, encouragement, reframing, guidance, etc, to build this therapeutic alliance.30 |
| pe | Psychoeducation | Providing basic information about ADHD to people and/or their parents. |
| aba | Applied behavioural analysis | This applies participants’ understanding of how behaviour works to real situations. The goal is to increase behaviours that are helpful and decrease behaviours that are harmful or affect learning. |
| or | Organisation | Organising is a technique for behaviour management that includes assignments, managing supplies, planning tasks, etc.31 32 |
| cr | Cognitive restructuring | A psychotherapeutic process of learning to identify and modify irrational or maladaptive thoughts using strategies such as Socratic questioning, thought recording and guided imagery. |
| prob | Problem-solving | Problem-solving techniques help patients break down the problem and consider specific solutions. Problem-solving skills make patients quickly identify the underlying issue and find a solution. |
| 3w | Third-wave CBT | The third wave of CBT was designed to increase mindful engagement, increase acceptance, and value recognition and alignment, and cognitive flexibility.33 Intervention approaches include mindfulness meditation, acceptance and commitment therapy, dialectical behaviour therapy, mindfulness‐based cognitive therapy, functional analytical psychotherapy, meta‐cognitive therapy and several others. Attention training is a specific treatment technique to improve meta-cognition.34 35 |
| pr | Progressive muscle relaxation | Performing progressive expansion and contraction of muscles reduces physiological tension and facilitates a calm state. |
| pat | Parent training | This component involves providing skills training to parents as a treatment approach to improve care for children or adolescents with ADHD. |
ADHD, attention-deficit/hyperactivity disorder; CBT, cognitive–behavioural therapy.
Table 2.
Forms of CBT according to mixed components
| Combinations of included components | Corresponding intervention |
| w (±pl±pe±ps±pat) | Waiting list |
| No treatment | |
| pl | Psychological/pill placebo |
| pl+pat | Parent-training psychological/pill placebo |
| pl+pe | Psychoeducation (PE) |
| pl+pe+pat | Parent-training PE |
| pl (±pe)+ps | Supportive psychotherapy |
| pl (±pe±ps)+pr | Physiological therapy |
| pl (±pe±ps)+pr+pat | Parent-training physiological therapy |
| pl (±pe±ps±pr)+cr | Cognitive therapy (CT) |
| pl (±pe±ps±pr)+cr+pat | Parent-training CT |
| pl (±pe±ps±pr)+aba/or/prob | Behavioural therapy (BT) |
| pl (±pe±ps±pr)+aba/or/prob+pat | Parent-training BT |
| pl (±pe±ps±pr)+cr+aba/or/prob | CBT |
| pl (±pe±ps±pr)+cr+aba/or/prob+pat | Parent-training CBT |
| pl (±pe±ps±pr± cr± aba/or/prob)+3w | 3w |
| pl (±pe±ps±pr±cr±aba/or/prob)+3w+pat | Parent-training 3w |
‘+’ means ‘and’; ‘±’ means ‘with or without’; ‘/’ means ‘and/or’.
aba, applied behavioural analysis; CBT, cognitive–behavioural therapy; cr, cognitive restructuring; or, organisation; pat, parent training; pe, psychoeducation; pl, placebo; pr, progressive muscle relaxation; prob, problem-solving; ps, psychological support; w, waiting component; 3w, third-wave CBT.
We are interested in the effects of interventions on the core symptoms of ADHD (inattention, hyperactivity/impulsivity). Therefore, behavioural techniques—such as social skills training, which focuses on solving interpersonal problems—will be not included in the CBT component of this study. In addition, CBT aims to identify three factors (symptoms, cognition and behaviours) that maintain the problems of adolescents and adults with ADHD, and to help them learn more appropriate cognitive and behavioural patterns. Accordingly, we will also exclude cognitive training without identification and case conceptualisation for cognitive–behavioural patterns.
Information sources
We will search the following five databases: MEDLINE (via PubMed), EMBASE, PsycINFO, ClinicalTrials.gov and Cochrane Library. If there is a discrepancy in the selected studies, a consensus will be reached with all review team members, including a third researcher, if necessary. The search will cover studies published up to 31 March 2022 and will be limited to articles published in English. For studies that have no data available, we will contact the corresponding author. If we do not hear back, we will contact them again in a month. If the information is still not available, the study will be excluded.
Search strategy
We will search each database using the term “attention-deficit/hyperactivity disorder” and terms describing CBT components, such as “acceptance commitment therapy”, “applied behavior analysis”, “attention training”, “behavior therapy”, “cognitive restructuring”, “cognitive therapy”, “cognitive behavioral therapy”, “metacognitive therapy”, “mindfulness”, “organization”, “problem solving” and “relaxation”. The full search strategy is provided in the online supplemental appendix 1.
bmjopen-2022-068547supp001.pdf (114.1KB, pdf)
Study records
The first screening (checking the titles and abstracts) will be conducted by four authors (SH, KM, SO and MY) in electronic databases. For the second screening, three authors (SH, KM and SO) will review the full text of all studies selected at the first screening to make selection decisions based on the eligibility criteria. Reviewers will resolve disagreements by discussion. If no data are available for the studies included in this review, we will contact the corresponding authors monthly for 2 months.
Two independent reviewers (SH and KM) will determine the classification of all arm components according to the definitions in table 1. Any discrepancies will be decided at a meeting of all members of this research team, including a third researcher.
Outcomes and prioritisation
Our primary outcome is the remission of ADHD in the short term, defined as within 6 months. For studies with multiple evaluation time points within 6 months of treatment, we will prioritise the 3-month time point. In this study, remission will be defined as not meeting diagnostic classification criteria for ADHD in the International Classification of Diseases or Diagnostic and Statistical Manual of Mental Disorders at evaluation time after the treatment.1 Accepting the suggestions of Mattingly et al, we consider remission if the total ADHD Rating Scale scores are 18 or less (the 18 symptoms of ADHD are mild or less on average).16 17 Other remission criteria are a mean score of 1 in Swanson, Nolan and Pelham, Version IV; a total score of 2 in Clinical Global Impressions-Severity scale; and a mean score of 5 in Conner’s Parent Rating Scale-Revised, Inattention/Overactivity subscale.17 As a secondary outcome, we will include treatment response and the ADHD core symptoms scales (see online supplemental tables 1 and 2 for scales). The response, as defined by the original investigators, is a dichotomous outcome expressing the number of patients who had a substantial improvement from baseline (eg, at least a 30% reduction in the Barkley Adult ADHD Rating Scale-IV score or in the Reliable Change Index as determined by another assessment method).18 19
Risk of bias in individual studies
The risk of bias will be independently assessed by two authors (SH and KM) using the Cochrane tool.20
Data synthesis
We will compare CBT components of interest with each other for remission and the change in core ADHD symptoms’ severity. The concepts of the components to be compared and their combinations are shown in tables 1 and 2. For the Bayesian analysis, we will perform a cNMA model presented by Welton et al.11 We will fit cNMA models using Stan21 according to the methods of Pompoli et al.12 We will estimate and compare the additive cNMA model and two-way interaction cNMA model.11 We will use uninformative prior distributions for the treatment effects and all coefficients in the meta-regression analyses, that is, N (0, 1000). A minimally informative prior will be used for the heterogeneity parameter, that is, N (0, 1) I (0,). For all analyses, we will run four chains of 40 000 samples and discard the first 20 000 samples. We will evaluate the convergence of the model using the Brooks-Gelman-Rubin diagnostic. We will conduct a sensitivity analysis with a different prior distribution for heterogeneity, U (0, 5). We will also report ORs, calculated standardised mean differences and Hedge’s g, with relative 95% CIs, for continuous and dichotomous outcomes. We will perform both frequentist and Bayesian analyses. In the sensitivity analysis, we will report combinations of the CBT components in a frequentist setting using the ‘discomb’ command in netmeta.22
We will also conduct another sensitivity analysis using results from studies in which only an expert measured the outcome. If the participants in each RCT are limited to adolescents or adults, then their data will be used in subgroup analyses by a procedure similar to the main analysis.
To rank the components, we intend to use the surface under the cumulative ranking curve and the mean ranks.23 24 Depending on the pooled data, the model may not have enough power to draw useful conclusions. In that case, we will group the components in a clinically meaningful manner. In other words, we will examine whether the estimation can be improved by assuming general effects on applied behavioural analysis, organisation, third-wave CBT and progressive muscle relaxation.
We will measure the heterogeneity among the selected studies by estimating the common heterogeneity parameter τ. For dropout outcomes, we will compare their empirical distributions.25 26 We will report changes in τ by including any differences observed between the studies in the model as covariates. We will also assess treatment-level inconsistency in the constructed network by using the design-by-treatment inconsistency model.27 28
Meta-bias(es)
We will perform Egger’s test to test for small study effects, including publication bias.29
Patient and public involvement
None.
Ethics and dissemination
Since we will review published papers, ethical approval is not required. The results from this cNMA will provide a panorama of CBT-based ADHD studies, and the findings will be published in a peer-reviewed journal.
Supplementary Material
Acknowledgments
We especially appreciate the help of the staff at the Research Center for Child Mental Development and the librarians at the University of Fukui.
Footnotes
Contributors: All authors contributed to the design of this cNMA. SH contributed to the acquisition of research funding. KM and YK contributed to statistical analysis strategies. SH and KM contributed to the writing of the manuscript. YK, SO, MY and YM critically reviewed this manuscript and contributed to its quality improvement. YM contributed to the construction and management of the research team.
Funding: This work was supported by the Takeda Science Foundation (grant number: N/A), the Mother and Child Health Foundation (grant number: R04-K2-2) and the Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (JSPS) (grant number: 22H00985).
Competing interests: None declared.
Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Provenance and peer review: Not commissioned; externally peer reviewed.
Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
Ethics statements
Patient consent for publication
Not required.
References
- 1.American Psychiatric Association . Diagnostic and statistical manual of mental disorders. 5th edn (DSM-5). Washington: American Psychiatric Publishing DC2013, 22 May 2013. 10.1176/appi.books.9780890425596 [DOI] [Google Scholar]
- 2.Cortese S, Adamo N, Del Giovane C, et al. Comparative efficacy and tolerability of medications for attention-deficit hyperactivity disorder in children, adolescents, and adults: a systematic review and network meta-analysis. Lancet Psychiatry 2018;5:727–38. 10.1016/S2215-0366(18)30269-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Elliott J, Johnston A, Husereau D, et al. Pharmacologic treatment of attention deficit hyperactivity disorder in adults: a systematic review and network meta-analysis. PLoS One 2020;15:e0240584. 10.1371/journal.pone.0240584 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Jensen CM, Amdisen BL, Jørgensen KJ, et al. Cognitive behavioural therapy for ADHD in adults: systematic review and meta-analyses. Atten Defic Hyperact Disord 2016;8:3–11. 10.1007/s12402-016-0188-3 [DOI] [PubMed] [Google Scholar]
- 5.Knouse LE, Teller J, Brooks MA. Meta-Analysis of cognitive-behavioral treatments for adult ADHD. J Consult Clin Psychol 2017;85:737–50. 10.1037/ccp0000216 [DOI] [PubMed] [Google Scholar]
- 6.Young Z, Moghaddam N, Tickle A. The efficacy of cognitive behavioral therapy for adults with ADHD: a systematic review and meta-analysis of randomized controlled trials. J Atten Disord 2020;24:875–88. 10.1177/1087054716664413 [DOI] [PubMed] [Google Scholar]
- 7.Lopez PL, Torrente FM, Ciapponi A, et al. Cognitive-Behavioural interventions for attention deficit hyperactivity disorder (ADHD) in adults. Cochrane Database Syst Rev 2018;3:CD010840. 10.1002/14651858.CD010840.pub2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Riise EN, Wergeland GJH, Njardvik U, et al. Cognitive behavior therapy for externalizing disorders in children and adolescents in routine clinical care: A systematic review and meta-analysis. Clinical Psychology Review 2021;83:.:S0272-7358(20)30142-2. 10.1016/j.cpr.2020.101954 [DOI] [PubMed] [Google Scholar]
- 9.Melendez-Torres GJ, Bonell C, Thomas J. Emergent approaches to the meta-analysis of multiple heterogeneous complex interventions. BMC Med Res Methodol 2015;15:47. 10.1186/s12874-015-0040-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Pigott T, Noyes J, Umscheid CA, et al. AHRQ series on complex intervention systematic reviews-paper 5: advanced analytic methods. Journal of Clinical Epidemiology 2017;90:37–42.:S0895-4356(17)30640-6. 10.1016/j.jclinepi.2017.06.015 [DOI] [PubMed] [Google Scholar]
- 11.Welton NJ, Caldwell DM, Adamopoulos E, et al. Mixed treatment comparison meta-analysis of complex interventions: psychological interventions in coronary heart disease. Am J Epidemiol 2009;169:1158–65. 10.1093/aje/kwp014 [DOI] [PubMed] [Google Scholar]
- 12.Pompoli A, Furukawa TA, Efthimiou O, et al. Dismantling cognitive-behaviour therapy for panic disorder: a systematic review and component network meta-analysis. Psychol Med 2018;48:1945–53. 10.1017/S0033291717003919 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hutton B, Salanti G, Caldwell DM, et al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Annals of Internal Medicine 2015;162:777–84. 10.7326/M14-2385 [DOI] [PubMed] [Google Scholar]
- 14.Moher D, Shamseer L, Clarke M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic Reviews 2015;4:.:1. 10.1186/2046-4053-4-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.American Psychological Association . APA dictionary of psychology – piagetian theory. n.d. Available: https://dictionary.apa.org/piagetian-theory
- 16.Mattingly GW, Weisler RH, Young J, et al. Clinical response and symptomatic remission in short- and long-term trials of lisdexamfetamine dimesylate in adults with attention-deficit/hyperactivity disorder. BMC Psychiatry 2013;13:39. 10.1186/1471-244X-13-39 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Steele M, Jensen PS, Quinn DMP. Remission versus response as the goal of therapy in ADHD: a new standard for the field? Clin Ther 2006;28:1892–908. 10.1016/j.clinthera.2006.11.006 [DOI] [PubMed] [Google Scholar]
- 18.Barkley RA. Barkley adult ADHD rating scale-IV (BAARS-IV). New York: Guilford Press, 2011. [Google Scholar]
- 19.Jacobson NS, Truax P. Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. J Consult Clin Psychol 1991;59:12–9. 10.1037//0022-006x.59.1.12 [DOI] [PubMed] [Google Scholar]
- 20.Sterne JAC, Savović J, Page MJ, et al. Rob 2: a revised tool for assessing risk of bias in randomised trials. BMJ 2019;366:l4898. 10.1136/bmj.l4898 [DOI] [PubMed] [Google Scholar]
- 21.Stan Development Team . Stan user’s guide version 2.30. n.d. Available: https://mc-stan.org/docs/2_30/stan-users-guide-2_30.pdf
- 22.Rücker, G., Schwarzer, G., Krahn, U., König, J., & Schwarzer, M. G. . Package ‘netmeta’. Network Meta-Analysis using Frequentist Methods (Version 2.5-0).. 2022. :
- 23.Spiegelhalter DJ, Best NG, Carlin BP, et al. Bayesian measures of model complexity and fit. J R Stat Soc Series B Stat Methodol 2002;64:583–639. 10.1111/1467-9868.00353 [DOI] [Google Scholar]
- 24.Salanti G, Ades AE, Ioannidis JPA. Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial. J Clin Epidemiol 2011;64:163–71. 10.1016/j.jclinepi.2010.03.016 [DOI] [PubMed] [Google Scholar]
- 25.Turner RM, Davey J, Clarke MJ, et al. Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane database of systematic reviews. Int J Epidemiol 2012;41:818–27. 10.1093/ije/dys041 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Rhodes KM, Turner RM, Higgins JPT. Predictive distributions were developed for the extent of heterogeneity in meta-analyses of continuous outcome data. Journal of Clinical Epidemiology 2015;68:52–60. 10.1016/j.jclinepi.2014.08.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Lunn D, Spiegelhalter D, Thomas A, et al. The BUGS project: evolution, critique and future directions. Statistics in Medicine 2009;28:3049–67. 10.1002/sim.3680 [DOI] [PubMed] [Google Scholar]
- 28.Higgins JPT, Jackson D, Barrett JK, et al. Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies. Research Synthesis Methods 2012;3:98–110. 10.1002/jrsm.1044 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Egger M, Davey Smith G, Schneider M, et al. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997;315:629–34. 10.1136/bmj.315.7109.629 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Winston A, Rosenthal RN, Pinsker H. Introduction to supportive psychotherapy. American Psychiatric Publishing Inc, 2004. [Google Scholar]
- 31.Abikoff H, Nissley-Tsiopinis J, Gallagher R, et al. Effects of MPH-OROS on the organizational, time management, and planning behaviors of children with ADHD. J Am Acad Child Adolesc Psychiatry 2009;48:166–75. 10.1097/CHI.0b013e3181930626 [DOI] [PubMed] [Google Scholar]
- 32.Langberg JM, Epstein JN, Graham AJ. Organizational-skills interventions in the treatment of ADHD. Expert Rev Neurother 2008;8:1549–61. 10.1586/14737175.8.10.1549 [DOI] [PubMed] [Google Scholar]
- 33.Hayes SC, Hofmann SG. The third wave of cognitive behavioral therapy and the rise of process-based care. World Psychiatry 2017;16:245–6. 10.1002/wps.20442 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Wells A. Panic disorder in association with relaxation induced anxiety: an attentional training approach to treatment. Behavior Therapy 1990;21:273–80. 10.1016/S0005-7894(05)80330-2 [DOI] [Google Scholar]
- 35.Wells A. Detached mindfulness in cognitive therapy: a metacognitive analysis and ten techniques. J Rat-Emo Cognitive-Behav Ther 2005;23:337–55. 10.1007/s10942-005-0018-6 [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
bmjopen-2022-068547supp001.pdf (114.1KB, pdf)
