scholarly journals P73 Identifying the active ingredients in implementation: qualitative content analysis of the overlap between behaviour change techniques and implementation strategies

Author(s):  
S McHugh ◽  
J Presseau ◽  
C Luecking ◽  
B Powell
2015 ◽  
Vol 19 (99) ◽  
pp. 1-188 ◽  
Author(s):  
Susan Michie ◽  
Caroline E Wood ◽  
Marie Johnston ◽  
Charles Abraham ◽  
Jill J Francis ◽  
...  

BackgroundMeeting global health challenges requires effective behaviour change interventions (BCIs). This depends on advancing the science of behaviour change which, in turn, depends on accurate intervention reporting. Current reporting often lacks detail, preventing accurate replication and implementation. Recent developments have specified intervention content into behaviour change techniques (BCTs) – the ‘active ingredients’, for example goal-setting, self-monitoring of behaviour. BCTs are ‘the smallest components compatible with retaining the postulated active ingredients, i.e. the proposed mechanisms of change. They can be used alone or in combination with other BCTs’ (Michie S, Johnston M. Theories and techniques of behaviour change: developing a cumulative science of behaviour change.Health Psychol Rev2012;6:1–6). Domain-specific taxonomies of BCTs have been developed, for example healthy eating and physical activity, smoking cessation and alcohol consumption. We need to build on these to develop an internationally shared language for specifying and developing interventions. This technology can be used for synthesising evidence, implementing effective interventions and testing theory. It has enormous potential added value for science and global health.Objective(1) To develop a method of specifying content of BCIs in terms of component BCTs; (2) to lay a foundation for a comprehensive methodology applicable to different types of complex interventions; (3) to develop resources to support application of the taxonomy; and (4) to achieve multidisciplinary and international acceptance for future development.Design and participantsFour hundred participants (systematic reviewers, researchers, practitioners, policy-makers) from 12 countries engaged in investigating, designing and/or delivering BCIs.Development of the taxonomyinvolved a Delphi procedure, an iterative process of revisions and consultation with 41 international experts;hierarchical structureof the list was developed using inductive ‘bottom-up’ and theory-driven ‘top-down’ open-sort procedures (n = 36);trainingin use of the taxonomy (1-day workshops and distance group tutorials) (n = 161) wasevaluatedby changes in intercoder reliability and validity (agreement with expert consensus);evaluatingthe taxonomy for coding interventions was assessed by reliability (intercoder; test–retest) and validity (n = 40 trained coders); andevaluatingthe taxonomy for writing descriptions was assessed by reliability (intercoder; test–retest) and by experimentally testing its value (n = 190).ResultsNinety-three distinct, non-overlapping BCTs with clear labels and definitions formed Behaviour Change Technique Taxonomy version 1 (BCTTv1). BCTs clustered into 16 groupings using a ‘bottom-up’ open-sort procedure; there was overlap between these and groupings produced by a theory-driven, ‘top-down’ procedure. Both training methods improved validity (bothp < 0.05), doubled the proportion of coders achieving competence and improved confidence in identifying BCTs in workshops (bothp < 0.001) but did not improve intercoder reliability. Good intercoder reliability was observed for 80 of the 93 BCTs. Good within-coder agreement was observed after 1 month (p < 0.001). Validity was good for 14 of 15 BCTs in the descriptions. The usefulness of BCTTv1 to report descriptions of observed interventions had mixed results.ConclusionsThe developed taxonomy (BCTTv1) provides a methodology for identifying content of complex BCIs and a foundation for international cross-disciplinary collaboration for developing more effective interventions to improve health. Further work is needed to examine its usefulness for reporting interventions.FundingThis project was funded by the Medical Research Council Ref: G0901474/1. Funding also came from the Peninsula Collaboration for Leadership in Applied Health Research and Care.


2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Daniel McAleese ◽  
Angeliki Papadaki

AbstractThe popularity of smartphone apps is rising globally. However, the quality of widely available health apps and their effectiveness to promote behaviour change, by incorporating behavioural change techniques (BCTs) that have been suggested to result in behaviour change, is questionable. The aim of this study was to conduct a content analysis of smartphone apps that utilise the Mediterranean diet (MD), a dietary pattern linked to numerous health benefits, to promote healthy dietary behaviours. The specific objectives were to evaluate the quality of these apps and their use of BCTs. The iTunes Store and Google Play were searched for all available apps (free and requiring payment to download) promoting the MD. Apps were excluded if they were not available in English, did not focus only on the MD or the download process was corrupt. The Mobile App Rating Scale (MARS) was used to assess app engagement, functionality, aesthetics and information quality (the average of which represents a quality mean score (QMS)) and subjective quality. The Abraham & Michie behaviour change taxonomy was adapted to create a 20-item checklist to assess the presence of BCTs in the eligible apps. Thirty nine apps (64.1% of which were free to download) were analysed. The overall QMS was 2.96 ± 0.46. The lowest and highest scored QMS constructs were engagement (2.42 ± 0.62) and functionality (3.95 ± 0.45), respectively, whilst the overall mean subjective quality score was 1.71 ± 0.51 (scores’ range 1–5). Apps were scored higher for aesthetics if they required payment (3.14 vs. 2.78, p = 0.047). Apps incorporated an average of 3.10 ± 1.87 BCTs, with no difference in the number of BCTs present according to platform or cost. From the five BCTs that have been suggested to promote behaviour change, ‘self-monitoring’ was present in six apps, ‘intention formation’ in 15 and ‘goal setting’ in one. None of the apps incorporated the ‘review of behavioural goals’ and ‘feedback on performance’ BCTs. The total QMS score was positively associated with the presence of BCTs (r = 0.409, p = 0.008). Based on the MARS assessment, apps promoting the MD that are available in the public domain were of moderate quality. In contrast, the low presence, particularly of efficacious, BCTs and low subjective quality scores suggest that apps are actually of poor quality and potentially not effective in promoting behaviour change towards an MD diet. These findings provide important insights for the future development of high-quality apps to promote the MD at population level.


2015 ◽  
Vol 10 (1) ◽  
Author(s):  
Justin Presseau ◽  
Noah M Ivers ◽  
James J Newham ◽  
Keegan Knittle ◽  
Kristin J Danko ◽  
...  

Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1340 ◽  
Author(s):  
Patrick Timpel ◽  
Lorenz Harst

(1) Background: The objective of this study was to identify, categorize and prioritize current implications for future research in the use telemedicine for diabetes and hypertension in order to inform policy and practice decisions. (2) Methods: An iterative mixed methods design was followed, including three consecutive steps: An updated umbrella review of telemedicine effectiveness, qualitative content analysis of extracted data on current research needs and a quantitative survey with practitioners and health care researchers in order to prioritize the identified needs. (3) Results: Overall, 32 included records reported on future research implications. Qualitative content analysis yielded five categories as well as subcategories, covering a need for high quality studies, comprehensive technology assessments, in-depth considerations of patients’ characteristics, ethics and safety as well as implementation strategies. The online survey revealed that the most pressing future research needs are data security, patient safety, patient satisfaction, implementation strategies and longer follow-ups. Chi² statistics and t-tests revealed significant differences in the priorities of participants with and without experience in telemedicine use, evaluation and development. A factor analysis revealed six over-arching factors. (4) Conclusion: These results may help learning from mistakes previously made and may serve as key topics of a future telemedicine research agenda.


2018 ◽  
Vol 29 (01) ◽  
pp. 82-97
Author(s):  
Brett Furlonger ◽  
Marko Ostojic ◽  
Jasmine Chung ◽  
Katrina Philips ◽  
Margherita Busacca ◽  
...  

A framework was examined to assist school psychologists and counsellors in recommending quality apps for supporting diabetes self-management. A content analysis was undertaken to assess behaviour change strategies in Apple and Android smartphone apps for the self-management of type 2 diabetes. The Behaviour Change Technique Taxonomy was used to assess the presence of behaviour change strategies, while the Mobile App Rating Scale was used to assess overall app quality. Raters found, on average, 7.13 behaviour change techniques out of a possible 93, indicating few behaviour change techniques in apps for the self-management of Type 2 diabetes. Analysis indicated that apps of a higher overall quality tended to incorporate more behaviour change strategies. It was concluded that mental-health professionals are advantaged if they are able to assess and refine selection tools for matching apps with the needs of students with diabetes.


2021 ◽  
Author(s):  
Patrick Kierkegaard ◽  
Timothy Hicks ◽  
A. Joy Allen ◽  
Yaling Yang ◽  
Gail Hayward ◽  
...  

Abstract Background: There is little empirical evidence to inform implementation strategies for introducing SARS-CoV-2 point of care (POC) testing into primary care settings. The purpose of this study is to develop a theory-driven understanding of the behavioural determinants underpinning the implementation of SARS-CoV-2 POC testing in primary care. This will allow identification of potential intervention strategies that could encourage successful implementation of testing into routine practice and facilitate face-to-face consultations.Methods: We used a secondary qualitative analysis approach to re-analyse data from a qualitative study that involved interviewing 22 primary care physicians from 21 primary care practices across three regions in England. We followed the three-step method based on the Behaviour Change Wheel to identify barriers/enablers to the implementation of SARS-CoV-2 POC testing and identified behaviour change techniques to inform intervention strategies that targeted the barriers/enablers.Results: We identified 10 barriers and enablers to POC implementation under eight Theoretical Domains Framework (TDF): (1) knowledge; (2) behavioural regulation; (3) reinforcement; (4) skills; (5) environmental context and resources; (6) social influence; (7) professional role and identity; and (8) belief about consequences. Linkages with the Behaviour Change Techniques (BCT) taxonomy enabled the identification of intervention strategies to address the social and contextual factors influencing primary care physician’s willingness and capacity to adopt POC testing.Conclusions: A theory-informed approach identified barriers to the adoption of POC tests in primary care as well as guiding implementation strategies to address these challenges.


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