The DOI matches its Crossref record; 48 of the 49 references it cites were found in a registry or an index.
The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions
Open accessAbstract
BACKGROUND: CONSORT guidelines call for precise reporting of behavior change interventions: we need rigorous methods of characterizing active content of interventions with precision and specificity. OBJECTIVES: The objective of this study is to develop an extensive, consensually agreed hierarchically structured taxonomy of techniques [behavior change techniques (BCTs)] used in behavior change interventions. METHODS: In a Delphi-type exercise, 14 experts rated labels and definitions of 124 BCTs from six published classification systems. Another 18 experts grouped BCTs according to similarity of active ingredients in an open-sort task. Inter-rater agreement amongst six researchers coding 85 intervention descriptions by BCTs was assessed. RESULTS: This resulted in 93 BCTs clustered into 16 groups. Of the 26 BCTs occurring at least five times, 23 had adjusted kappas of 0.60 or above. CONCLUSIONS: "BCT taxonomy v1," an extensive taxonomy of 93 consensually agreed, distinct BCTs, offers a step change as a method for specifying interventions, but we anticipate further development and evaluation based on international, interdisciplinary consensus.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The motivating behavior change process comprised of the “vicarious consequences” and “emotional social support” BCTs as the BCCTv1 dictates that cognitive behavioral therapy (CBT) and motivational interviewing (MI) frameworks should be coded as emotional social support (Michie et al., 2013).”
From Improving Mental Health Service Utilization Among Men: A Systematic Review and Synthesis of Behavior Change Techniques Within Interventions Targeting Help-Seeking (2019) · cites this paper as Michie et al., 2013
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“For instance, the BCTTv1 states that “emotional social support” extends to MI and CBT (Michie et al., 2013).”
From Improving Mental Health Service Utilization Among Men: A Systematic Review and Synthesis of Behavior Change Techniques Within Interventions Targeting Help-Seeking (2019) · cites this paper as Michie et al., 2013
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“A strength of this review included the use of a validated taxonomy used in other areas with reasonable interrater reliability (Michie et al., 2013).”
From Improving Mental Health Service Utilization Among Men: A Systematic Review and Synthesis of Behavior Change Techniques Within Interventions Targeting Help-Seeking (2019) · cites this paper as Michie et al., 2013
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Psychological interventions were generally multi-component and complex, containing an average of 9.6 BCTs; the most frequently used BCTs were 'problem solving' and 'instruction on how to perform the behaviour' (Michie 2013).”
From Psychological interventions for improving adherence to inhaled therapies in people with cystic fibrosis (2023) · cites this paper as Michie 2013
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“As such, SD contacted the authors of included trials about the content of their interventions if there was insufficient information available (Michie 2013).”
From Psychological interventions for improving adherence to inhaled therapies in people with cystic fibrosis (2023) · cites this paper as Michie 2013
Experimental — accuracy not yet measured
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Psychological interventions for improving adherence to inhaled therapies in people with CF may incorporate one or more BCTs (e.g.'problem-solving', defined as”
From Psychological interventions for improving adherence to inhaled therapies in people with cystic fibrosis (2023) · cites this paper as Michie 2013
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Several resources can inform the use of implementation strategies, including established taxonomies of implementation strategies (6, 7, 24, 25) and behavior change techniques (27, 28), repositories of systematic reviews (38, 103, 104), methods for selecting and tailoring implementation strategies (40, 55, 56), and reporting guidelines that promote replicability (4, 98–100).”
From Enhancing the Impact of Implementation Strategies in Healthcare: A Research Agenda (2019) · cites this paper as [27]
The cited source says what the claim attributes to it.
In the citing paper
“Additionally, we applied the Behaviour Change Technique Taxonomy (BCTT) to identify effective combinations of intervention components for promoting healthy eating behaviours among adolescents [28].”
From School-based healthy eating interventions for adolescents aged 10–19 years: an umbrella review (2024) · cites this paper as [28]
The cited source says what the claim attributes to it.
In the citing paper
“Of the 93 BCTs in Michie's taxonomy, 21 only 23 were used in the selected trials, illustrating that most BCTs in the taxonomy are not currently used in m-health apps for diabetes management.”
The cited source says what the claim attributes to it.
In the citing paper
“BCTs refer to the observable and replicable components within an intervention designed to change behavior”
From Improving Mental Health Service Utilization Among Men: A Systematic Review and Synthesis of Behavior Change Techniques Within Interventions Targeting Help-Seeking (2019) · cites this paper as Michie et al., 2013
The cited source says what the claim attributes to it.
In the citing paper
“Michie et al. (2013) devised a taxonomy (BCCTv1) containing 93 BCTs”
From Improving Mental Health Service Utilization Among Men: A Systematic Review and Synthesis of Behavior Change Techniques Within Interventions Targeting Help-Seeking (2019) · cites this paper as Michie et al., 2013
The cited source says what the claim attributes to it.
In the citing paper
“Although the full BCCTv1 contains 93 BCTs (Michie et al., 2013), the current review only identified 18 different BCTs.”
From Improving Mental Health Service Utilization Among Men: A Systematic Review and Synthesis of Behavior Change Techniques Within Interventions Targeting Help-Seeking (2019) · cites this paper as Michie et al., 2013
The cited source says what the claim attributes to it.
In the citing paper
“The BCTs are helpful in providing a common language to describe processes within the programme that aim to change the behaviour of the participants [54].”
The cited source says what the claim attributes to it.
In the citing paper
“Active ingredients or strategies facilitating behavior change were operationalized using the Behavior Change Technique Taxonomy version 1 (BCT Taxonomy v1) hierarchical clusters [20] (see the Collating, Summarizing, and Reporting the Results section for details of each).”
From Features of Structured, One-to-One Videoconference Interventions That Actively Engage People in the Management of Their Chronic Conditions: Scoping Review (2025) · cites this paper as [20]
The cited source says what the claim attributes to it.
In the citing paper
“We coded the extracted intervention descriptions into component BCTs using the BCTTv1, an established taxonomy of 93 BCTs, as a coding framework (Michie 2013).”
From Psychological interventions for improving adherence to inhaled therapies in people with cystic fibrosis (2023) · cites this paper as Michie 2013
The cited source says what the claim attributes to it.
In the citing paper
“Two independent coders will identify and record which BCTs from the BCT Taxonomy v1 are present in each intervention component.48”
In the citing paper
“Active ingredients can be categorized broadly, as is done in the interventions and policy levels of the Behavior Change Wheel [21], or characterized at the level of specific strategies or techniques [24].”
From Towards a common terminology: a simplified framework of interventions to promote and integrate evidence into health practices, systems, and policies (2014) · cites this paper as [24]
In the citing paper
“This is an extensive, integrated, hierarchical classification system for reliably specifying intervention components in terms of 93 BCTs, organised into 16 groupings [15, 16, 22–24].”
In the citing paper
“Study 1 presented the synthesis of existing BCT taxonomies into a single comprehensive, cross-context, overarching BCT taxonomy: BCTTv1.8,17,40”
In the citing paper
“Evidence is already emerging to suggest that some BCTs from BCTTv1 occur more frequently than others in descriptions of BCIs.40”
In the citing paper
“Results from two initial phases of reliability testing indicated BCTTv1 to be reliable in specifying 26 frequently occurring BCTs when used by the taxonomy developers.40”
In the citing paper
“The extensive discussions involved in taxonomy development described by Michie et al. 40 might result in enhanced agreement owing to tacit knowledge beyond the explicit BCT labels and definitions.”
In the citing paper
“Of the 26 BCTTv1 BCTs meeting this criterion, nine were found to have 'outstanding' and 14 'substantial' reliabilities.”
In the citing paper
“Most researchers would probably accept that BCTs definitions generating kappa scores of 0.70 can be reliably identified but may have reservations about those with lower scores.108”
In the citing paper
“Byrt et al. 99 proposed the 'PABAK', which results in considerably more meaningful indices for data such as BCT coding when the prevalence of each BCT is low and bias may occur; therefore, it was the statistic chosen by Michie et al. 40 as the most appropriate to measure intercoder reliability in applying BCTTv1.”
In the citing paper
“There is empirical evidence to suggest that successful outcomes of public health interventions depend not only on the existence of the specific intervention components needed to achieve behaviour change [11] but also on the extent to which they are implemented in the real world setting [12].”
From Barriers, facilitators and capacities for childhood obesity prevention in 12 European nations: results of a policy-maker survey (2018) · cites this paper as [11]
In the citing paper
“This assumption is problematic because of the current limited interpretational challenges user interaction data present, such as the difficulty in distinguishing online versus offline interactions and the implications for intervention exposure, or the absence of frameworks that identify unique meaningful interaction sequences with digital features that translate to specific behavior change”
From Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions (2019) · cites this paper as [10]
In the citing paper
“Behavior change techniques are the smallest component parts of widely used theories of health behavior, sourced from various fields and through consensus of experts [10].”
From Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions (2019) · cites this paper as [10]
In the citing paper
“Moreover, published descriptions of what the intervention consists of are often, and unfortunately, remarkably poor.38 39”
From Demystifying theory and its use in improvement (2015) · cites this paper as [38]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1994) · Psychological Review · doi:10.1037/0033-295x.101.2.343 · Cited by 17,559
Michie, S., van Stralen, M. M., & West, R. (2011) · Implementation Science · doi:10.1186/1748-5908-6-42 · Cited by 13,697
Self-citationDeveloping and evaluating complex interventions: the new Medical Research Council guidance
Craig, P., Dieppe, P., Macintyre, S., Michie, S., Nazareth, I., & Petticrew, M. (2008) · BMJ · doi:10.1136/bmj.a1655 · Cited by 10,995
Self-citationAudit and feedback: effects on professional practice and healthcare outcomes
Ivers, N., Jamtvedt, G., Flottorp, S., Young, J. M., Odgaard-Jensen, J., French, S. D., O'Brien, M. A., Johansen, M., Grimshaw, J., & Oxman, A. D. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000259.pub3 · Cited by 5,485
International Statistical Classification of Diseases and Related Health Problems
Eisfeld, J. (2014) · TSQ Transgender Studies Quarterly · doi:10.1215/23289252-2399740 · Cited by 3,570
Making psychological theory useful for implementing evidence based practice: a consensus approach
Michie, S. (2005) · Quality and Safety in Health Care · doi:10.1136/qshc.2004.011155 · Cited by 3,440
Self-citationA taxonomy of behavior change techniques used in interventions
Abraham, C., & Michie, S. (2008) · Health Psychology · doi:10.1037/0278-6133.27.3.379 · Cited by 2,525
Self-citationPvclust: an R package for assessing the uncertainty in hierarchical clustering
Suzuki, R., & Shimodaira, H. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl117 · Cited by 2,482
Research works printed but not linked: 5
- Michie S, Fixsen D, Grimshaw JM, Eccles MP. Specifying and reporting complex behavior change interventions: The need for a scientific method. Implement Sci. 2009;40:1-6.
- Mischel W. Presidential address. Washington: Association for Psychological Science Annual Convention; 2012.
- Quinn F. On integrating biomedical and behavioral approaches to activity limitation with chronic pain: Testing integrated models between and within persons. Aberdeen: University of Aberdeen; 2010.
- Dixon D, Johnston M. Health behavior change competency framework: Competences to deliver interventions to change lifestyle behaviors that affect health. Edinburgh: Scottish Government; 2012.
- Abraham C. Mapping change mechanisms and behaviour change techniques: A systematic approach to promoting behaviour change through text. In: Abraham C, Kools M, eds. Writing Health Communication: An Evidence-Based Guide for Professionals. London: SAGE Publications; 2011.
Cited by
Sorted by citations
Items 801–900 of 1,090
Howes, S. C., Charles, D. K., Marley, J., Pedlow, K., & McDonough, S. (2017) · Physical Therapy · doi:10.1093/ptj/pzx088 · Cited by 57
Karduck, J., & Chapman‐Novakofski, K. (2018) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2017.06.004 · Cited by 57
Blythe, J. M., Sombatruang, N., & Johnson, S. D. (2019) · Journal of Cybersecurity · doi:10.1093/cybsec/tyz005 · Cited by 57
Exacerbation action plans for patients with COPD and comorbidities: a randomised controlled trial
Lenferink, A., van der Palen, J. A. M., van der Valk, P. D. L. P. M., Cafarella, P., van Veen, A., Quinn, S. J., Groothuis‐Oudshoorn, C. G. M., Burt, M. G., Young, M., Frith, P. A., et al. (2019) · European Respiratory Journal · doi:10.1183/13993003.02134-2018 · Cited by 57
Simeon, R., Dewidar, O., Trawin, J., Duench, S., Manson, H. E., Pardo, J. P., Petkovic, J., Roberts, J. H., Tugwell, P., Yoganathan, M., et al. (2020) · Journal of Medical Internet Research · doi:10.2196/16002 · Cited by 57
McCrabb, S., Baker, A. L., Attia, J., Skelton, E., Twyman, L., Palazzi, K., McCarter, K., Ku, D., & Bonevski, B. (2019) · Annals of Behavioral Medicine · doi:10.1093/abm/kay026 · Cited by 56
Kiss, N., Baguley, B. J., Ball, K., Daly, R. M., Fraser, S. F., Granger, C. L., & Ugalde, A. (2019) · JMIR mhealth and uhealth · doi:10.2196/12281 · Cited by 56
Simons, D., De Bourdeaudhuij, I., Clarys, P., De Cocker, K., Vandelanotte, C., & Deforche, B. (2018) · JMIR mHealth and uHealth · doi:10.2196/10003 · Cited by 56
The use of AI in mental health services to support decision-making: scoping review
Auf, H., Svedberg, P., Nygren, J., Nair, M., & Lundgren, L. E. (2025) · Journal of Medical Internet Research · doi:10.2196/63548 · Cited by 56
Norris, S. A., Draper, C. E., Prioreschi, A., Smuts, C., Ware, L. J., Dennis, C., Awadalla, P., Bassani, D., Bhutta, Z., Briollais, L., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-059914 · Cited by 56
Lawrenson, J. G., Graham-Rowe, E., Lorencatto, F., Rice, S. J. C., Bunce, C., Francis, J., Burr, J. M., Aluko, P., Vale, L. D., Pető, T., et al. (2018) · Health Technology Assessment · doi:10.3310/hta22290 · Cited by 56
Self-citationGerber, M., Beck, J., Brand, S., Cody, R., Donath, L., Eckert, A., Faude, O., Fischer, X., Hatzinger, M., Holsboer‐Trachsler, E., et al. (2019) · Trials · doi:10.1186/s13063-019-3468-3 · Cited by 58
Perdew, M., Liu, S., & Naylor, P. (2020) · Translational Behavioral Medicine · doi:10.1093/tbm/ibaa082 · Cited by 56
Gomez, K. U., Goodwin, L., Jackson, L., Jones, A., Chisholm, A., & Rose, A. K. (2020) · Addiction · doi:10.1111/add.15296 · Cited by 56
Mobile Technologies to Promote Physical Activity during Cardiac Rehabilitation: A Scoping Review
Meinhart, F., Stütz, T., Sareban, M., Kulnik, S. T., & Niebauer, J. (2020) · Sensors · doi:10.3390/s21010065 · Cited by 56
Conceptual tensions and practical trade-offs in tailoring implementation interventions
McHugh, S., Riordan, F., Curran, G. M., Lewis, C. C., Wolfenden, L., Presseau, J., Lengnick‐Hall, R., & Powell, B. J. (2022) · Frontiers in Health Services · doi:10.3389/frhs.2022.974095 · Cited by 61
Sun, T., Xu, X., Ding, Z., Xie, H., Ma, L., Zhang, J., Xia, Y., Zhang, G., & Ma, Z. (2024) · JMIR mhealth and uhealth · doi:10.2196/53006 · Cited by 56
Inauen, J., & Mosler, H. (2013) · Journal of Health Psychology · doi:10.1177/1359105313493811 · Cited by 56
Soltani, H., Duxbury, A. M. S., Arden, M. A., Dearden, A., Furness, P. J., & Garland, C. (2015) · Journal of Obesity · doi:10.1155/2015/814830 · Cited by 58
Carlin, A., MURPHY, M. H., & Gallagher, A. M. (2015) · Sports Medicine · doi:10.1007/s40279-015-0432-6 · Cited by 56
Siddiqi, K., Dogar, O. F., Rashid, R., Jackson, C., Kellar, I., O’Neill, N., Hassan, M., Ahmed, F., Irfan, M., Thomson, H., et al. (2016) · BMC Public Health · doi:10.1186/s12889-016-3177-8 · Cited by 56
Rawstorn, J. C., Gant, N., Meads, A., Warren, I., & Maddison, R. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5501 · Cited by 59
Ridgers, N. D., Timperio, A. F., Brown, H. L., Ball, K., Macfarlane, S., Lai, S. K., Richards, K., Ngan, W. W., & Salmon, J. (2017) · BMC Public Health · doi:10.1186/s12889-016-3945-5 · Cited by 57
Lumsden, J., Skinner, A., Coyle, D., Lawrence, N., & Munafo, M. R. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.8473 · Cited by 59
McParland, J. L., Williams, L., Gozdzielewska, L., Young, M., Smith, F., MacDonald, J., Langdridge, D., Davis, M., Price, L., & Flowers, P. (2018) · British Journal of Health Psychology · doi:10.1111/bjhp.12317 · Cited by 56
Gamification and Behavior Change Techniques in Diabetes Self-Management Apps
Priesterroth, L., Grammes, J., Holtz, K., Reinwarth, A. C., & Kubiak, T. (2019) · Journal of Diabetes Science and Technology · doi:10.1177/1932296818822998 · Cited by 58
Selecting and tailoring implementation interventions: a concept mapping approach
Kwok, E. Y. L., Moodie, S., Cunningham, B. J., & Cardy, J. O. (2020) · BMC Health Services Research · doi:10.1186/s12913-020-05270-x · Cited by 58
Keyworth, C., Epton, T., Goldthorpe, J., Calam, R. M., & Armitage, C. J. (2020) · PLoS ONE · doi:10.1371/journal.pone.0233399 · Cited by 56
Tsoli, S., Sutton, S., & Kassavou, A. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-018974 · Cited by 55
Hoedjes, M., Nijman, I., & Hinnen, C. (2022) · Cancers · doi:10.3390/cancers14082026 · Cited by 55
Pakpour, A. H., Gholami, M., Esmaeili, R., Naghibi, S. A., Updegraff, J. A., Molloy, G. J., & Dombrowski, S. U. (2015) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2015.08.036 · Cited by 55
Koppenaal, T., Pisters, M. F., Kloek, C. J. J., Arensman, R. M., Ostelo, R., & Veenhof, C. (2021) · Journal of Medical Internet Research · doi:10.2196/31675 · Cited by 58
Giordan, L. B., Tong, H. L., Atherton, J. J., Ronto, R., Chau, J. Y., Kaye, D. M., Shaw, T. J., Chow, C. K., & Laranjo, L. (2022) · JMIR Cardio · doi:10.2196/33839 · Cited by 55
Functional Mechanisms of Health Behavior Change Techniques: A Conceptual Review
Michaelsen, M. M., & Esch, T. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.725644 · Cited by 59
Development of theory-based health messages: three-phase programme of formative research
Epton, T., Norman, P. E., Harris, P. R., Webb, T. L., Snowsill, F. A., & Sheeran, P. (2014) · Health Promotion International · doi:10.1093/heapro/dau005 · Cited by 55
Kennelly, M. A., Ainscough, K. M., Lindsay, K. L., Gibney, E. R., Carthy, M. M., & McAuliffe, F. M. (2015) · Contemporary Clinical Trials · doi:10.1016/j.cct.2015.11.018 · Cited by 57
Morton, K., Sutton, S. R., Hardeman, W., Troughton, J., Yates, T., Griffin, S. J., Davies, M. J., Khunti, K., & Eborall, H. (2015) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5026 · Cited by 59
Self-citationThe weight-loss experience: a qualitative exploration
Rogerson, D., Soltani, H., & Copeland, R. J. (2016) · BMC Public Health · doi:10.1186/s12889-016-3045-6 · Cited by 66
Free, C., McCarthy, O., French, R., Wellings, K., Michie, S., Roberts, I., Devries, K. M., Rathod, S. D., Bailey, J., Syred, J., et al. (2016) · Health Technology Assessment · doi:10.3310/hta20570 · Cited by 55
Self-citationHankonen, N. E., Heino, M. T. J., Hynynen, S.-T., Laine, H., Araújo‐Soares, V., Sniehotta, F. F., Vasankari, T. J., Sund, R., & Haukkala, A. (2017) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-017-0484-0 · Cited by 59
Browne, S., Minozzi, S., Bellisario, C., Sweeney, M. R., & Susta, D. (2018) · European Journal of Clinical Nutrition · doi:10.1038/s41430-018-0327-3 · Cited by 57
Referral for Expert Physical Activity Counseling: A Pragmatic RCT
James, E. L., Ewald, B. D., Johnson, N. A., Stacey, F. G., Brown, W. J., Holliday, E. G., Jones, M., Yang, F., Hespe, C., & Plotnikoff, R. C. (2017) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2017.06.016 · Cited by 54
Bradbury, K., Steele, M., Corbett, T., Geraghty, A. W. A., Krusche, A., Heber, E., Easton, S., Cheetham-Blake, T., Slodkowska-Barabasz, J., Müller, A. M., et al. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0163-4 · Cited by 54
Radtke, T., Łuszczyńska, A., Schenkel, K., Biddle, S., & Scholz, U. (2018) · BMC Public Health · doi:10.1186/s12889-018-5818-6 · Cited by 54
Virtanen, L., Kaihlanen, A., Laukka, E., Gluschkoff, K., & Heponiemi, T. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104432 · Cited by 54
Personality-based approach for tailoring persuasive mental health applications
Alqahtani, F., Meier, S. M., & Orji, R. (2021) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-021-09289-5 · Cited by 54
mHealth Apps Using Behavior Change Techniques to Self-report Data: Systematic Review
Aguiar, M., Trujillo, M., Chaves, D., Álvarez, R., & Epelde, G. (2022) · JMIR mhealth and uhealth · doi:10.2196/33247 · Cited by 59
Richardson-Parry, A., Baas, C., Donde, S. S., Ferraiolo, B., Karmo, M., Maravic, Z., Münter, L., Ricci‐Cabello, I., Silva, M., Tinianov, S., et al. (2023) · International Journal for Equity in Health · doi:10.1186/s12939-023-01841-6 · Cited by 54
MacLeod, C., Braun, L., Caruso, B. A., Chase, C., Chidziwisano, K., Chipungu, J., Dreibelbis, R., Ejemot-Nwadiaro, R. I., Gordon, B. A., Mills, J. E., et al. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-068887 · Cited by 57
Health coaching to prevent excessive gestational weight gain: A randomized‐controlled trial
Skouteris, H., McPhie, S., Hill, B., McCabe, M. P., Milgrom, J., Kent, B., Bruce, L. J., Herring, S. J., Gale, J., Mihalopoulos, C., et al. (2015) · British Journal of Health Psychology · doi:10.1111/bjhp.12154 · Cited by 59
McClurg, D., Frawley, H., Hay-Smith, J. E., Dean, S. G., Chen, S., Chiarelli, P., Mair, F. S., & Dumoulin, C. L. (2015) · Neurourology and Urodynamics · doi:10.1002/nau.22769 · Cited by 54
Kothe, E. J., & Mullan, B. A. (2014) · Appetite · doi:10.1016/j.appet.2014.03.006 · Cited by 54
Bernhardsson, S., Larsson, M. E. H., Eggertsen, R., Olsén, M. F., Johansson, K. M., Nilsén, P., Nordeman, L., van Tulder, M. W., & Öberg, B. E. (2014) · BMC Health Services Research · doi:10.1186/1472-6963-14-105 · Cited by 57
A theory-informed approach to mental health care capacity building for pharmacists
Murphy, A. L., Gardner, D. M., Kutcher, S., & Martin‐Misener, R. (2014) · International Journal of Mental Health Systems · doi:10.1186/1752-4458-8-46 · Cited by 54
Intervention Synthesis: A Missing Link between a Systematic Review and Practical Treatment(s)
Glasziou, P., Chalmers, I., Green, S., & Michie, S. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001690 · Cited by 58
Self-citationLeventhal, K. S., DeMaria, L., Gillham, J. E., Andrew, G., Peabody, J. W., & Leventhal, S. (2016) · Social Science & Medicine · doi:10.1016/j.socscimed.2016.05.004 · Cited by 54
Suntornsut, P., Wongsuwan, N., Malasit, M., Kitphati, R., Michie, S., Peacock, S. J., & Limmathurotsakul, D. (2016) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0004823 · Cited by 54
Self-citationJaKa, M. M., Haapala, J. L., Trapl, E., Kunin‐Batson, A., Olson‐Bullis, B. A., Heerman, W. J., Berge, J. M., Moore, S. M., Matheson, D., & Sherwood, N. E. (2016) · Obesity Reviews · doi:10.1111/obr.12464 · Cited by 54
Gardner, B., Jovicić, A., Belk, C., Kharicha, K., Iliffe, S., Manthorpe, J., Goodman, C. M., Drennan, V. M., & Walters, K. R. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-014127 · Cited by 54
Co-designing an mHealth tool in the New Zealand Māori community with a “Kaupapa Māori” approach
Morenga, L. T., Pekepo, C., Corrigan, C., Matoe, L., Mules, R., Goodwin, D., Dymus, J., Tunks, M., Grey, J., Humphrey, G., et al. (2018) · AlterNative An International Journal of Indigenous Peoples · doi:10.1177/1177180117753169 · Cited by 65
Scheerman, J. F. M., van Empelen, P., van Loveren, C., & van Meijel, B. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9626 · Cited by 54
FOODLIT-PRO: Food Literacy Domains, Influential Factors and Determinants—A Qualitative Study
Rosas, R., Pimenta, F., Leal, I. M. P., & Schwarzer, R. (2019) · Nutrients · doi:10.3390/nu12010088 · Cited by 54
Tesfaye, W. H., Erku, D., Mekonnen, A. B., Tefera, Y. G., Castelino, R. L., Sud, K., Thomas, J., & Obamiro, K. O. (2021) · Journal of Nephrology · doi:10.1007/s40620-020-00895-x · Cited by 54
Atkins, L., Hunkeler, E. M., Jensen, C. D., Michie, S., Lee, J. K., Doubeni, C. A., Zauber, A. G., Levin, T. R., Quinn, V. P., & Corley, D. A. (2016) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2015.08.075 · Cited by 54
Self-citationFreitas, P. D., Passos, N. F. P., Carvalho‐Pinto, R. M., Martins, M. A., Cavalheri, V., Hill, K., Stelmach, R., & Carvalho, C. R. F. (2020) · CHEST Journal · doi:10.1016/j.chest.2020.08.2113 · Cited by 53
Wilkie, S., & Davinson, N. (2021) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2021.104166 · Cited by 63
Hollis, J., Kocanda, L., Seward, K., Collins, C. E., Tully, B., Hunter, M., Foureur, M. J., Lawrence, W. T., MacDonald‐Wicks, L. K., & Schumacher, T. L. (2021) · BMC Health Services Research · doi:10.1186/s12913-021-06893-4 · Cited by 53
Onukwugha, F. I., Smith, L. A., Kaseje, D., Wafula, C., Kaseje, M., Orton, B., Hayter, M., & Magadi, M. A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0261973 · Cited by 53
Revenäs, Å., Opava, C. H., Martin, C., Demmelmaier, I., Keller, C., & Åsenlöf, P. (2015) · JMIR Research Protocols · doi:10.2196/resprot.3795 · Cited by 55
Webb, J., Hall, J., Hall, K., & Fabunmi-Alade, R. (2016) · Public Health · doi:10.1016/j.puhe.2016.05.015 · Cited by 53
Swanson, V., Keely, A., & Denison, F. C. (2017) · British Journal of Health Psychology · doi:10.1111/bjhp.12246 · Cited by 53
Price, L., MacDonald, J., Melone, L., Howe, T. E., Flowers, P., Currie, K., Curran, E. T., Ness, V., Waddell, D., Manoukian, S., et al. (2017) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(17)30479-6 · Cited by 53
Mills, N., Gaunt, D., Blazeby, J. M., Elliott, D., Husbands, S., Holding, P., Rooshenas, L., Jepson, M., Young, B., Bower, P., et al. (2017) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2017.11.015 · Cited by 53
Owen, M. B., Kerner, C., Taylor, S. L., Noonan, R. J., Newson, L., Kosteli, M., Curry, W. B., & Fairclough, S. J. (2018) · Children · doi:10.3390/children5060067 · Cited by 56
Nooijen, C. F. J., Blom, V., Ekblom, Ö. B., Ekblom, M., & Kallings, L. (2019) · BMC Public Health · doi:10.1186/s12889-019-6589-4 · Cited by 53
Aromatario, O., Hoye, A. V., Vuillemin, A., Foucaut, A.-M., Crozet, C., Pommier, J., & Cambon, L. (2019) · Public Health · doi:10.1016/j.puhe.2019.06.011 · Cited by 57
Lim, S. S., Tan, A., Madden, S. K., & Hill, B. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00767 · Cited by 53
Warner, L. M., & French, D. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108677318.032 · Cited by 62
Baretta, D., Perski, O., & Steca, P. (2019) · JMIR mHealth and uHealth · doi:10.2196/11636 · Cited by 52
“The inclusion criteria for the app selection were as follows: (1) their main goal was to increase PA among healthy adults, (2) they were freely available both on iTunes and Google Play, (3) they incorporated many BCTs (see Table 1 for a description of the BCTs incorporated in the selected apps, coded using behavior ch…”
MethodA method for assessing fidelity of delivery of telephone behavioral support for smoking cessation
Lorencatto, F., West, R., Bruguera, C., & Michie, S. (2014) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0035149 · Cited by 52
Self-citationMummah, S. A., Mathur, M., King, A. C., Gardner, C. D., & Sutton, S. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5146 · Cited by 52
McCleary, N., Duncan, E. M., Stewart, F., & Francis, J. J. (2013) · Trials · doi:10.1186/1745-6215-14-146 · Cited by 52
“Indeed, a system for specifying the exact techniques used in BCIs has recently been developed [21].”
Self-citationAlyami, M. M., Serlachius, A. S., O’Donovan, C. E., van der Werf, B., & Broadbent, E. (2020) · Diabetic Medicine · doi:10.1111/dme.14495 · Cited by 52
Graboyes, E. M., Sterba, K. R., Li, H., Warren, G. W., Alberg, A. J., Calhoun, E. A., Nussenbaum, B. A., McCay, J., Marsh, C. H., Osazuwa‐Peters, N., et al. (2021) · JCO Oncology Practice · doi:10.1200/op.20.00943 · Cited by 52
Baxter, L., Burton, A., & Fancourt, D. E. (2022) · BMC Psychology · doi:10.1186/s40359-022-00775-y · Cited by 52
The Implementation of Behavior Change Techniques in mHealth Apps for Sleep: Systematic Review
Arroyo, A. C., & Zawadzki, M. J. (2022) · JMIR mhealth and uhealth · doi:10.2196/33527 · Cited by 54
Musculoskeletal Pain: Current and Future Directions of Physical Therapy Practice
Fullen, B. M., Wittink, H. M., Groef, A. D., Hoegh, M., McVeigh, J. G., Martin, D., & Smart, K. M. (2023) · Archives of Rehabilitation Research and Clinical Translation · doi:10.1016/j.arrct.2023.100258 · Cited by 52
Ramachandran, H. J., Oh, J. L., Cheong, Y. K., Jiang, Y., Teo, J. Y. C., Seah, A. C. W., Yu, M., & Wang, W. (2023) · Heart & Lung · doi:10.1016/j.hrtlng.2023.02.004 · Cited by 52
Martin, R., & Murtagh, E. M. (2015) · Contemporary Clinical Trials · doi:10.1016/j.cct.2015.01.019 · Cited by 52
Vrijens, B., Urquhart, J., & White, D. (2014) · Expert Review of Clinical Pharmacology · doi:10.1586/17512433.2014.940896 · Cited by 52
Fair, F. J., Ford, G. L., & Soltani, H. (2019) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012099.pub2 · Cited by 52
Family Physical Activity Planning and Child Physical Activity Outcomes: A Randomized Trial
Rhodes, R. E., Blanchard, C. M., Quinlan, A., Naylor, P., & Warburton, D. E. R. (2019) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2019.03.007 · Cited by 54
Sallis, A., Sherlock, J., Bonus, A., Saei, A., Gold, N., Vlaev, I., & Chadborn, T. (2019) · BMC Public Health · doi:10.1186/s12889-019-7476-8 · Cited by 52
Crayton, E., Richardson, M. A., Fuller, C., Smith, C. M., Liu, S., Forbes, G., Anderson, N., Shallcross, L. J., Michie, S., Hayward, A. C., et al. (2020) · BMC Geriatrics · doi:10.1186/s12877-020-01564-1 · Cited by 56
Self-citationHale, J., Hastings, J., West, R., Lefevre, C. E., Direito, A., Bohlen, L. C., Godinho, C. I. A., Anderson, N., Zink, S., Groarke, H., et al. (2020) · Wellcome Open Research · doi:10.12688/wellcomeopenres.16121.1 · Cited by 52
Self-citationConceptual Introduction to the Multiphase Optimization Strategy (MOST)
Collins, L. M. (2018) · Statistics for Social and Behavioral Sciences · doi:10.1007/978-3-319-72206-1_1 · Cited by 51
Mindfulness-Based College: A Stage 1 Randomized Controlled Trial for University Student Well-Being
Loucks, E. B., Nardi, W. R., Gutman, R., Saadeh, F. B., Li, Y., Vago, D. R., Fiske, L. B., Spas, J. J., & Harrison, A. (2021) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000860 · Cited by 51
Froome, H. M., Townson, C., Rhodes, S., Franco‐Arellano, B., LeSage, A., Savaglio, R., Brown, J. M., Hughes, J. M., Kapralos, B., & Arcand, J. (2020) · Nutrients · doi:10.3390/nu12113413 · Cited by 51
Bricca, A., Swithenbank, Z., SCOTT, N. W., Treweek, S. P., Johnston, M., Black, N., Hartmann‐Boyce, J., West, R., Michie, S., & de Bruin, M. (2021) · Addiction · doi:10.1111/add.15614 · Cited by 51
Self-citationZheng, S., Edney, S. M., Goh, C. H., Tai, B. C., Mair, J. L., Castro, Ó., Salamanca-Sanabria, A., Kowatsch, T., van Dam, R. M., & Müller‐Riemenschneider, F. (2023) · EClinicalMedicine · doi:10.1016/j.eclinm.2023.102309 · Cited by 56
Metadata
- Authors
- Michie, S., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., Eccles, M. P., Cane, J., & Wood, C. E.
- Affiliations
- University College London (GB)
- University of Exeter (GB)
- University of Aberdeen (GB)
- City, University of London (GB)
- University of Cambridge (GB)
- Newcastle University (GB)
- University of Kent (GB)
- Corresponding author
- Michie, Susan
- ORCID
- Venue
- Annals of Behavioral Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-03-20
- Volume
- 46
- Issue
- 1
- Pages
- 81-95
- ISSN
- 0742-5554 (ISSN-L)
- 0883-6612
- 1532-4796
- OpenAlex
- W2169434152
- Cited by
- 7,629
- References
- 49
- Citations by year
- 2026: 644 · 2025: 771 · 2024: 824 · 2023: 846 · 2022: 906 · 2021: 834 · 2020: 757 · 2019: 550 · 2018: 489 · 2017: 325 · 2016: 280 · 2015: 229 · 2014: 130 · 2013: 34
- FWCI
- 342.86
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Annals of Behavioral Medicine (publishedVersion)
- PubMed (publishedVersion)
- City Research Online (City University London) (acceptedVersion)
- Aberdeen University Research Archive (Aberdeen University) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Kent Academic Repository (University of Kent) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- UEA Digital Repository (University of East Anglia) (submittedVersion)
- Newcastle University ePrints (Newcastle Univesity)
- Funders
- Medical Research Council
- Topics
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Social Sciences › Psychology › Developmental and Educational Psychology › Behavioral and Psychological Studies
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Keywords
- behaviour change techniques, BCT taxonomy, behaviour change interventions, intervention reporting, interobserver agreement, consensus development, hierarchical clustering
- MeSH terms
- Behavior Therapy, Consensus Statements as Topic, Humans, Cluster Analysis, Treatment Outcome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review