A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy

Background Research suggests that variation in laboratory requesting patterns may indicate unnecessary test use. Requesting patterns for serum immunoglobulins vary significantly between General Practitioners (GPs). This study aims to explore GP views on testing to identify the determinants of behaviour and recommend feasible intervention strategies for improving immunoglobulin test use in General Practice. Methods Qualitative semi-structured interviews were conducted with GPs requesting laboratory tests at Cork University Hospital or Kerry General Hospital in the South of Ireland. GPs were identified using a Health Service Executive laboratory list of GPs in the Cork-Kerry region. A random sample (stratified by GP requesting patterns) of GPs was generated from this list. GPs were purposively sampled based on the sampling criteria of: location (urban/rural); length of time qualified; and practice size (single-handed/group). Interviews were carried out between December 2014 and February 2015. Interviews were transcribed verbatim using NVivo 10 software, and analysed iteratively using thematic analysis. Emerging themes were then mapped to the theoretical domains framework (TDF), which identifies 12 domains that can enable or inhibit behaviour change. The behaviour change wheel and behaviour change technique (BCT) taxonomy were then used to recommend potential intervention strategies. Results Sixteen GPs were interviewed, including ten males and six females. Preliminary analysis, using the TDF and BCT taxonomy, found that serum immunoglobulin test use in General Practice is influenced by many social and contextual factors. The main domains from the TDF which emerged were: ‘knowledge’, ‘environmental context and resources’, ‘social influences’, ‘beliefs about capabilities’, ‘beliefs about consequences’, with the findings identifying a need for ‘shaping knowledge’. In particular, GPs identified education and feedback strategies as feasible interventions to change their behaviour. Conclusion This study identified GP challenges with serum Immunoglobulin testing, which included difficulty interpreting test results, patient expectations, personal experiences, and the lack of implementation of guidelines and knowledge about when to test for serum immunoglobulins. Study findings and the application of the TDF and BCT taxonomy, will inform the development of a feasible intervention for improving immunoglobulin test use in General Practice.

BackgroundEfforts to generate evidence for implementation strategies are frustrated by insufficient description. The Expert Recommendations for Implementing Change (ERIC) compilation names and defines implementation strategies; however, further work is needed to describe the actions involved. One potentially complementary taxonomy is the behaviour change techniques (BCT) taxonomy. We aimed to examine the extent and nature of the overlap between these taxonomies.MethodsDefinitions and descriptions of 73 strategies in the ERIC compilation were analysed. First, each description was deductively coded using the BCT taxonomy. Second, a typology was developed to categorise the extent of overlap between ERIC strategies and BCTs. Third, three implementation scientists independently rated their level of agreement with the categorisation and BCT coding. Finally, discrepancies were settled through online consensus discussions. Additional patterns of complementarity between ERIC strategies and BCTs were labelled thematically. Descriptive statistics summarise the frequency of coded BCTs and the number of strategies mapped to each of the categories of the typology.ResultsAcross the 73 strategies, 41/93 BCTs (44%) were coded, with ‘restructuring the social environment’ as the most frequently coded (n=18 strategies, 25%). There was direct overlap between one strategy (change physical structure and equipment) and one BCT (‘restructuring physical environment’). Most strategy descriptions (n=64) had BCTs that were clearly indicated (n=18), and others where BCTs were probable but not explicitly described (n=31) or indicated multiple types of overlap (n=15). For some strategies, the presence of additional BCTs was dependent on the form of delivery. Some strategies served as examples of broad BCTs operationalised for implementation. For eight strategies, there were no BCTs indicated, or they did not appear to focus on changing behaviour. These strategies reflected preparatory stages and targeted collective cognition at the system level rather than behaviour change at the service delivery level.ConclusionsThis study demonstrates how the ERIC compilation and BCT taxonomy can be integrated to specify active ingredients, providing an opportunity to better understand mechanisms of action. Our results highlight complementarity rather than redundancy. More efforts to integrate these or other taxonomies will aid strategy developers and build links between existing silos in implementation science.

BackgroundSepsis is a major cause of death from infection, with a mortality rate of 36 %. This can be halved by implementing the ‘Sepsis Six’ evidence-based care bundle within 1 h of presentation. A UK audit has shown that median implementation rates are 27–47 % and interventions to improve this have demonstrated minimal effects. In order to develop more effective implementation interventions, it is helpful to obtain detailed characterisations of current interventions and to draw on behavioural theory to identify mechanisms of change. The aim of this study was to illustrate this process by using the Behaviour Change Wheel; Behaviour Change Technique (BCT) Taxonomy; Capability, Opportunity, Motivation model of behaviour; and Theoretical Domains Framework to characterise the content and theoretical mechanisms of action of an existing intervention to implement Sepsis Six.MethodsData came from documentary, interview and observational analyses of intervention delivery in several wards of a UK hospital. A broad description of the intervention was created using the Template for Intervention Description and Replication framework. Content was specified in terms of (i) component BCTs using the BCT Taxonomy and (ii) intervention functions using the Behaviour Change Wheel. Mechanisms of action were specified using the Capability, Opportunity, Motivation model and the Theoretical Domains Framework.ResultsThe intervention consisted of 19 BCTs, with eight identified using all three data sources. The BCTs were delivered via seven functions of the Behaviour Change Wheel, with four (‘education’, ‘enablement’, ‘training’ and ‘environmental restructuring’) supported by the three data sources. The most frequent mechanisms of action were reflective motivation (especially ‘beliefs about consequences’ and ‘beliefs about capabilities’) and psychological capability (especially ‘knowledge’).ConclusionsThe intervention consisted of a wide range of BCTs targeting a wide range of mechanisms of action. This study demonstrates the utility of the Behaviour Change Wheel, the BCT Taxonomy and the Theoretical Domains Framework, tools recognised for providing guidance for intervention design, for characterising an existing intervention to implement evidence-based care.Electronic supplementary materialThe online version of this article (doi:10.1186/s13012-015-0300-7) contains supplementary material, which is available to authorized users.

BackgroundEvidence-based healthcare innovations require complementary evidence-based implementation strategies to support their translation into practice. Efforts to test, refine and replicate implementation strategies are frustrated by insufficient description. Our aim was...

Purpose A taxonomy of behaviour change techniques has been developed to help specify the active ingredients of behaviour change interventions. Its potential for rehabilitation research is significant, however, reliable use among allied health professionals has not yet been explored. This article describes the content of a conversation therapy for post-stroke aphasia using the taxonomy and investigates inter-rater reliability among Speech and Language Therapists. Methods and materials Two Speech and Language Therapists undertook the same half day, self-led training programme in the behaviour change technique taxonomy and independently coded all materials in the “Better Conversations with Aphasia” programme. Inter-rater reliability was evaluated using the kappa coefficient and percentage agreement. Reliably agreed techniques were categorised according to the speaker and type of behaviour they targeted. Results Sixteen behaviour change techniques were reliably agreed to be present. Inter-rater reliability was moderate (K = 0.465), and in line with satisfactory percentage agreement (79.8%). More techniques were used to target the adoption of new behaviours (15) than the termination of old ones (3). People with aphasia received fewer behaviour change techniques (10) than their communication partners (16). Conclusions Describing the content of conversation therapy with the taxonomy of behaviour change techniques offers clinically useful insights with potential to enhance both research and practice. The intervention is shown to target different types of behaviour in different ways, and offer different speaker groups different content. Non-psychologist users of the taxonomy may encounter challenges working with unfamiliar concepts and terminology, which may impact on reliable use. IMPLICATIONS FOR REHABILITATION In order to change communicative behaviours within conversation, feedback should focus not only on performance but also on the immediate social and emotional consequences of a behaviour. This study adds to the evidence that unhelpful conversational behaviours can be reduced by providing speakers with information about any unwanted consequences, and then agreeing on a supportive behaviour to use instead. People with aphasia should be offered the same range of behaviour change techniques as their communication partners.

ObjectivesThe study aimed to provide a mapping review of non-pharmacological interventions to reduce restrictive practices in adult mental health inpatient settings; classify intervention components using the behaviour change technique taxonomy; explore evidence of behaviour change techniques and interventions; and identify the behaviour change techniques that show most effectiveness and those that require further testing.BackgroundIncidents involving violence and aggression occur frequently in adult mental health inpatient settings. They often result in restrictive practices such as restraint and seclusion. These practices carry significant risks, including physical and psychological harm to service users and staff, and costs to the NHS. A number of interventions aim to reduce the use of restrictive practices by using behaviour change techniques to modify practice. Some interventions have been evaluated, but effectiveness research is hampered by limited attention to the specific components. The behaviour change technique taxonomy provides a common language with which to specify intervention content.DesignSystematic mapping study and analysis.Data sourcesEnglish-language health and social care research databases, and grey literature, including social media. The databases searched included British Nursing Index (BNI), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Central Register of Controlled Trials (CCRCT), Cochrane Database of Systematic Reviews (CDSR), Database of Abstracts of Reviews of Effects (DARE), EMBASE, Health Technology Assessment (HTA) Database, HTA Canadian and International, Ovid MEDLINE®, NHS Economic Evaluation Database (NHS EED), PsycInfo®and PubMed. Databases were searched from 1999 to 2019.Review methodsBroad literature search; identification, description and classification of interventions using the behaviour change technique taxonomy; and quality appraisal of reports. Records of interventions to reduce any form of restrictive practice used with adults in mental health services were retrieved and subject to scrutiny of content, to identify interventions; quality appraisal, using the Mixed Methods Appraisal Tool; and data extraction, regarding whether participants were staff or service users, number of participants, study setting, intervention type, procedures and fidelity. The resulting data set for extraction was guided by the Workgroup for Intervention Development and Evaluation Research, Cochrane and theory coding scheme recommendations. The behaviour change technique taxonomy was applied systematically to each identified intervention. Intervention data were examined for overarching patterns, range and frequency. Overall percentages of behaviour change techniques by behaviour change technique cluster were reported. Procedures used within interventions, for example staff training, were described using the behaviour change technique taxonomy.ResultsThe final data set comprised 221 records reporting 150 interventions, 109 of which had been evaluated. The most common evaluation approach was a non-randomised design. There were six randomised controlled trials. Behaviour change techniques from 14 out of a possible 16 clusters were detected. Behaviour change techniques found in the interventions were most likely to be those that demonstrated statistically significant effects. The most common intervention target was seclusion and restraint reduction. The most common strategy was staff training. Over two-thirds of the behaviour change techniques mapped onto four clusters, that is ‘goals and planning’, ‘antecedents’, ‘shaping knowledge’ and ‘feedback and monitoring’. The number of behaviour change techniques identified per intervention ranged from 1 to 33 (mean 8 techniques).LimitationsMany interventions were poorly described and might have contained additional behaviour change techniques that were not detected. The finding that the evidence was weak restricted the study’s scope for examining behaviour change technique effectiveness. The literature search was restricted to English-language records.ConclusionsStudies on interventions to reduce restrictive practices appear to be diverse and poor. Interventions tend to contain multiple procedures delivered in multiple ways.Future workPrior to future commissioning decisions, further research to enhance the evidence base could help address the urgent need for effective strategies. Testing individual procedures, for example, audit and feedback, could ascertain which are the most effective intervention components. Separate testing of individual components could improve understanding of content and delivery.Study registrationThe study is registered as PROSPERO CRD42018086985.FundingThis project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full inHealth Services and Delivery Research; Vol. 9, No. 5. See the NIHR Journals Library website for further project information.

Background: In the context of a recovery-oriented approach to mental healthcare, the role of psychotropic medication over extended or indefinite periods is increasingly being called into question. To minimise the risks of withdrawal symptoms and relapse, it is crucial that service users who want to discontinue psychotropic medication are supported throughout the tapering process. However, in the absence of effective interventions and supports, service users are increasingly relying on online resources for guidance and support. To date, the evidence base for mobile phone applications ('apps') and app-based interventions supporting discontinuation of psychotropic use has not been examined. This scoping review aims to examine the content, underpinning evidence base and impact of available mobile phone apps and app-based interventions to support psychotropic tapering. Methods : A scoping review will be conducted using the Joanna Briggs Institute guidance and results will be reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guideline. Several electronic databases (MEDLINE, EMBASE, CINAHL, PsycINFO, Web of Science, ACM and IEEE Xplore) will be searched from 2008 onwards. Searches of the major app stores will also be conducted, specifically Apple's App Store (iOS) and Google Play Store (Android). Following screening, key information will be extracted from the included studies and apps. Identified apps will be coded using the Behaviour Change Technique (BCT) Taxonomy. The findings will be described using narrative synthesis. Conclusions : This scoping review will provide a broad overview of available apps to support psychotropic tapering, including a summary of their content using the BCT Taxonomy. The review findings will guide future research relating to the development, implementation and evaluation of app-based interventions to support the tapering of psychotropic medication.

Background: In the context of a recovery-oriented approach to mental healthcare, the role of psychotropic medication over extended or indefinite periods is increasingly being called into question. To minimise the risks of withdrawal symptoms and relapse, it is crucial that service users who want to discontinue psychotropic medication are supported throughout the tapering process. However, in the absence of effective interventions and supports, service users are increasingly relying on online resources for guidance and support. To date, the evidence base for mobile phone applications ('apps') and app-based interventions supporting discontinuation of psychotropic use has not been examined. This scoping review aims to examine the content, underpinning evidence base and impact of available mobile phone apps and app-based interventions to support psychotropic tapering. Methods : A scoping review will be conducted using the Joanna Briggs Institute guidance and results will be reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guideline. Several electronic databases (MEDLINE, EMBASE, CINAHL, PsycINFO, Web of Science, ACM and IEEE Xplore) will be searched from 2008 onwards. Searches of the major app stores will also be conducted, specifically Apple's App Store (iOS) and Google Play Store (Android). Following screening, key information will be extracted from the included studies and apps. Identified apps will be coded using the Behaviour Change Technique (BCT) Taxonomy. The findings will be described using narrative synthesis. Conclusions : This scoping review will provide a broad overview of available apps to support psychotropic tapering, including a summary of their content using the BCT Taxonomy. The review findings will guide future research relating to the development, implementation and evaluation of app-based interventions to support the tapering of psychotropic medication.

Background: In the context of a recovery-oriented approach to mental healthcare, the role of psychotropic medication over extended or indefinite periods is increasingly being called into question. To minimise the risks of withdrawal symptoms and relapse, it is crucial that service users who want to discontinue psychotropic medication are supported throughout the tapering process. However, in the absence of effective interventions and supports, service users are increasingly relying on online resources for guidance and support. To date, the evidence base for mobile phone applications (‘apps’) and app-based interventions supporting discontinuation of psychotropic use has not been examined. This scoping review aims to examine the content, underpinning evidence base and impact of available mobile phone apps and app-based interventions to support psychotropic tapering. Methods : A scoping review will be conducted using the Joanna Briggs Institute guidance and results will be reported using the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses extension for Scoping Reviews (PRISMA-ScR) guideline. Several electronic databases (MEDLINE, EMBASE, CINAHL, PsycINFO, Web of Science, ACM and IEEE Xplore) will be searched from 2008 onwards. Searches of the major app stores will also be conducted, specifically Apple's App Store (iOS) and Google Play Store (Android). Following screening, key information will be extracted from the included studies and apps. Identified apps will be coded using the Behaviour Change Technique (BCT) Taxonomy. The findings will be described using narrative synthesis. Conclusions : This scoping review will provide a broad overview of available apps to support psychotropic tapering, including a summary of their content using the BCT Taxonomy. The review findings will guide future research relating to the development, implementation and evaluation of app-based interventions to support the tapering of psychotropic medication.

A majority of Americans do not meet physical activity or nutrition guidelines for health. Convenient interventions to support healthy behaviors may be beneficial. Smartphone use has become ubiquitous, with apps that are an integral part of life for many. The health and fitness category of apps is robust and growing, but the potential for these apps to affect health behavior change is poorly understood. PURPOSE: To evaluate top-ranked fitness, nutrition, and weight-loss smartphone apps for incorporation of evidence- based behavior change strategies. METHODS: Two investigators coded descriptions of the 150 top-ranked “free” apps in the health and fitness category of the US iOS app store for evidence of health behavior change strategies using the Behavior Change Technique (BCT) Taxonomy (v1). Prevalence of taxonomy items were calculated and Pearson correlations were estimated for the relationship between BCTs per app and customer ranking, as well as for the relationship between BCTs per app and app store ranking. Significance was set at p < 0.05. RESULTS: 71 app descriptions were identified as fitness, nutrition, and/or weight-loss focused. Of those, 45.1% incorporated goals and planning; 57.7% incorporated feedback and monitoring; 56.8% incorporated social support; 29.6% incorporated comparison of behavior; 29.6% incorporated shaping knowledge; 22.5% incorporated associations; 11.6% incorporated reward and threat; 9.9% incorporated antecedents; and 5.6% incorporated natural consequence. Only 17 of the 93 techniques in the BCT taxonomy were utilized across all coded apps. There was a trend towards a weak negative correlation between number of BCTs per app and app store ranking (r = -0.22, p = 0.06) and no significant correlation between number of BCTs and customer rating (r = -0.02, p = 0.87). 45.1% of the “free” apps offered a premium version, in addition, and 11.3% required a paid subscription after download. CONCLUSIONS: Goal planning, monitoring, feedback, and social support were the most common strategies found in the popular fitness, weight-loss, and nutrition apps, though more must be learned about their effectiveness. Furthermore, there is potential to incorporate a greater variety of health behavior change techniques.

Despite the current popularity and potential use of mobile applications (apps) in the area of behaviour change, health promotion, and well-being for young people, it is unclear whether their design is underpinned by theory-based behaviour change techniques. Understanding the design of these apps may improve the way they can be used to support young people's well-being.The objectives of this study were to investigate what behaviour change techniques are included in the content of health and lifestyle apps, and determine which of these are prominent in app design. Thirty of the top-listed health and lifestyle apps across three categories (physical activity, diet, and sleep) were freely downloaded from the two most popular app stores (GooglePlay™ and AppStore™). Selected apps were used by trained researchers and the features identified coded against the Behaviour Change Techniques Taxonomy 1, a systematic classification of techniques used in behaviour change interventions. It was found that 9 of the 93 behaviour change techniques listed in the Behaviour Change Techniques Taxonomy 1 were common across the chosen health and lifestyle apps. The app found to include the most behaviour change techniques had 20 (21%), while the app found to include the least had 1 behaviour change technique (1%). The most frequently used behaviour change techniques were related to goal setting and feedback. Entire categories in the Behaviour Change Techniques Taxonomy 1 were absent in the design of the selected apps.

BackgroundIn May 2020, a National Health Service (NHS) hospital within the East Midlands requested a needs analysis and development of an intervention to optimise the wellbeing of healthcare professionals (HCPs).MethodUsing the Behaviour Change Wheel (BCW), the Capability, Opportunity, and Motivation Behaviour( COM-B) model, and the Areas of Worklife model we conducted a needs analysis (two independent surveys assessing wellbeing and behavioural contributors to wellbeing) for the Pulmonary Rehabilitation (PR, N=11), Cardiac Rehabilitation (CR, N=19), COPD nurse specialist (N=6), Home Oxygen (N=6), and Research teams (N=10) between June-July 2020. The results were used in conjunction with the taxonomy of Behaviour Change Techniques (BCTv1) to identify the most appropriate strategies for facilitating behaviour change in our intervention. To identify what needed to change for HCPs to engage in each target behaviour, HCPs were asked to complete the COM-B self-evaluation questionnaire.A multidisciplinary team guided intervention delivery (trainee Health Psychologist, N=1, Health Psychologist, N=2, NHS clinical lead, N=1).ResultsIn survey one (N=25), 52% of HCPs reported client-related burnout, 92% reported work-related burnout. In survey two (N=19), HCPs reported poor focus and concentration, insufficient time to attend to self-care/oneself, and an inability to ‘switch off conscious thoughts about work at the end of the working day’ at the end of the day as fundamental contributors to burnout. Due to theorised spill over effects, our behavioural target was enabling HCPs to ‘switch off conscious thoughts about work at the end of the working day’. From the BCW steps and BCTv1, we developed a three-pronged behaviour change intervention involving a relaxation toolkit, an educational webinar, and wellbeing one-to-ones.ConclusionThe BCW, COM-B model, and BCTv1 can be used successfully to develop a workplace intervention to tackle HCPs perceived burnout. We hypothesise our intervention will increase HCPs attentional rest and self-care behaviours, thereby reducing their perceived burnout. Results of a pilot study will be reported soon.

BackgroundThere has been a recent proliferation in the development of smartphone applications (apps) aimed at modifying various health behaviours. While interventions that incorporate behaviour change techniques (BCTs) have been associated with greater effectiveness, it is not clear to what extent smartphone apps incorporate such techniques. The purpose of this study was to investigate the presence of BCTs in physical activity and dietary apps and determine how reliably the taxonomy checklist can be used to identify BCTs in smartphone apps.MethodsThe top-20 paid and top-20 free physical activity and/or dietary behaviour apps from the New Zealand Apple App Store Health & Fitness category were downloaded to an iPhone. Four independent raters user-tested and coded each app for the presence/absence of BCTs using the taxonomy of behaviour change techniques (26 BCTs in total). The number of BCTs included in the 40 apps was calculated. Krippendorff’s alpha was used to evaluate interrater reliability for each of the 26 BCTs.ResultsApps included an average of 8.1 (range 2-18) techniques, the number being slightly higher for paid (M = 9.7, range 2-18) than free apps (M = 6.6, range 3-14). The most frequently included BCTs were “provide instruction” (83% of the apps), “set graded tasks” (70%), and “prompt self-monitoring” (60%). Techniques such as “teach to use prompts/cues”, “agree on behavioural contract”, “relapse prevention” and “time management” were not present in the apps reviewed. Interrater reliability coefficients ranged from 0.1 to 0.9 (Mean 0.6, SD = 0.2).ConclusionsPresence of BCTs varied by app type and price; however, BCTs associated with increased intervention effectiveness were in general more common in paid apps. The taxonomy checklist can be used by independent raters to reliably identify BCTs in physical activity and dietary behaviour smartphone apps.

Purpose This systematic review and meta-analysis of randomized controlled trials determines the efficacy of face-to-face behavior change counseling (BCC) interventions on physical activity (PA) behavior in adult cancer survivors at least pre-and immediately post-intervention compared to usual care. Additionally, this review aims to answer the question which behavior change techniques (BCTs) are most effective. Materials and methods A structured search of the databases Medline, OTseeker, PEDro, the Cochrane Library, and article reference lists was conducted. All trials were critically appraised for methodological quality using the PEDro scale. The BCC interventions were coded using the BCT Taxonomy (v1). Random effect meta-analysis explored between group differences in PA behavior post intervention. Standardized mean differences (SMD) describe effect sizes. Results Fourteen studies were included, 12 effect sizes within 11 trials were pooled in meta-analysis. The SMD between groups favored the intervention group with a small effect (SMD 0.22; 95% CI 0.11, 0.33; p < 0.0001). The BCTs “graded tasks”, “self-monitoring of behavior”, “action planning” and “habit reversal” were more frequently coded in more efficacious interventions. Conclusion BCC interventions are effective in increasing PA behavior in cancer survivors. Further research is needed providing details of fidelity assessment and structuring the intervention description by using a BCT taxonomy. Health care professionals should consider our results while awaiting further trial evaluation. Implications for Rehabilitation Face-to-face behavior change counseling interventions can significantly increase physical activity behavior in cancer survivors. Although small differences are evident, included trials presented with a broad variety of study components, and characteristics, which limits the interpretation of effective components. The behavior change techniques “Graded tasks”, “Action planning”, “Habit reversal”, and “Credible Source” were used in the trials with a positive effect, but not in the ineffective ones.

Background Incidents in which children or young people experience severe distress or harm or cause distress or harm to others occur frequently in children and young people’s institutional settings. These incidents are often managed using restrictive practices, such as restraint, seclusion, sedation or constant observation; however, these also present significant risks of physical and psychological harm to children and young people as well as staff. Numerous interventions aim to reduce the use of restrictive techniques, but research is hampered by limited attention to specific intervention components. The behavior change technique taxonomy may improve reporting by providing a common language for specifying the content and mechanisms of behaviour change. This study aimed to identify, standardise and report the effectiveness of components of interventions to reduce restrictive practices in children and young people’s institutional settings. Objectives To map interventions aimed at reducing restrictive practices in children and young people’s institutional settings internationally, to conduct behaviour change technique analysis of intervention components, to identify process elements, and to explore effectiveness evidence to identify promising behaviour change techniques and compare the results with those found in adult psychiatric inpatient settings in a companion review. Design Systematic mapping review with programme content coding using the behavior change technique taxonomy. Review methods Eleven relevant English-language health and social care research databases 1989–2019 [including Applied Social Sciences Index (ASSIA), Criminal Justice Abstracts, Educational Resources Information Center (ERIC), MEDLINE and PsycInfo®], grey literature and social media were searched during 2019 (updated January 2020). Data extraction, guided by Workgroup for Intervention Development and Evaluation Research (WIDER), Cochrane Library and theory coding scheme recommendations, included intervention characteristics and study design and reporting. Screening and quality appraisal used the Mixed Methods Appraisal Tool. The behavior change technique taxonomy was applied systematically, and interventions were coded for behaviour change technique components. Outcomes data were then related back to these components. Results There were 121 records, including 76 evaluations. Eighty-two interventions, mostly multicomponent, were identified. Evaluation approaches commonly used a non-randomised design. There were no randomised controlled trials. Behaviour change techniques from 14 out of a possible 16 clusters were detected. Four clusters (i.e. goals and planning, antecedents, shaping knowledge, and feedback and monitoring) contained the majority of identified behaviour change techniques and were detected in over half of all interventions. Two clusters (i.e. self-belief and covert learning) contained no identified behaviour change techniques. The most common setting in which behaviour change techniques were found was ‘mental health’. The most common procedure focused on staff training. The two most common behaviour change techniques were instruction on how to perform the behaviour and restructuring the social environment. Promising behaviour change techniques included instruction on how to perform the behaviour, restructuring the social environment, feedback on outcomes of behaviour and problem-solving. Compared with the companion review, service user perspectives were more sparse and there was more interest in trauma-informed approaches. Effectiveness evidence, range of interventions and reporting were broadly similar. Limitations Poor reporting may have prevented detection of some behaviour change techniques. The finding that the evidence was weak restricted the feasibility of examining behaviour change technique effectiveness. Literature searches were restricted to English-language sources. Conclusions This study generated, to our knowledge, the first review of evidence on the content and effectiveness of interventions to reduce restrictive practices in children and young people’s institutional settings. Interventions tend to be complex, reporting is inconsistent and robust evaluation data are limited, but some behaviour change techniques seem promising. Future work Promising behaviour change techniques could be further explored. Better evidence could help address the urgent need for effective strategies. Study registration This study is registered as PROSPERO CRD42019124730. Funding This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme and will be published in full in Health and Social Care Delivery Research; Vol. 10, No. 8. See the NIHR Journals Library website for further project information.