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This intervention development study aimed to work with a wide range of stakeholders across the UK to integrate existing global evidence on the effectiveness and implementation of breastfeeding support for mothers with/without long‐term conditions and co‐develop a complex intervention optimised for delivery in healthcare settings. The intervention development process was informed by four systematic reviews, conducted alongside an embedded programme of co‐production work between 2020 and 2025, involving: two stakeholder working groups (SWG) and two parent panels (PP) that met at regular intervals during the study; six focus group discussions (FGD) to ensure engagement with parents from socially disadvantaged groups; and 10 co‐production workshops (Co‐PW) involving parents, third sector organisations, healthcare practitioners, managers, commissioners, policymakers, and academics. Systematic reviews synthesised data from 116 randomised controlled trials and 16 process evaluations of breastfeeding support interventions for healthy mothers; and 22 trials and 24 studies on views/experiences of breastfeeding support in mothers with long‐term conditions. The co‐production work involved 23 stakeholders and 16 parents in SWG and PP meetings, 15 parents in FGD, and 128 stakeholders in Co‐PW. The resulting Action for Breastfeeding (A4B) Programme comprised four core components (antenatal, postnatal, follow‐up, and signposting) with associated implementation strategies, mechanisms of action, and outcomes for evaluation. Materials and guidance to support adoption and delivery were co‐designed. The A4B Programme provides an evidence‐based and co‐produced intervention to deliver organised support for breastfeeding mothers in healthcare settings, with proposed adaptations for mothers with long‐term conditions. Some uncertainties remain and these will be investigated in our future work. Summary There is strong evidence that breastfeeding support works, yet many women still stop early due to lack of adequate support, indicating that improvements amply demonstrated in research are not effectively translating into real‐world outcomes. This intervention development study combined the use of high‐quality evidence on both effectiveness and implementation, alongside an extensive programme of stakeholder engagement work, to improve potential for context‐adapted real‐world adoption. To promote sustainable and inclusive scale‐up, the Action for Breastfeeding Programme is optimised for delivery in healthcare settings and includes adaptations for women with long‐term conditions, ensuring that tailored support can be delivered for all women.

Behavior change interventions can unintendedly widen existing socio-economic health inequalities. Understanding why interventions are (in)effective among people with lower socio-economic position (SEP) is essential. Therefore, this scoping review aims to describe what is reported about the behavior change techniques (BCTs) applied within interventions and their effectiveness in encouraging physical activity and healthy eating, and reducing smoking and alcohol consumption according to SEP. A systematic search was conducted in 12 electronic databases, and 151 studies meeting the eligibility criteria were included and coded for health behavioral outcomes, SEP-operationalization, BCTs (type and number) and effectiveness. Findings suggest that approaches for measuring, defining and substantiating lower SEP vary. Current studies of behavior change interventions for people of different SEP do not systematically identify BCTs, making systematic evaluation of BCT effectiveness impossible. The effectiveness of interventions is mainly evaluated by overall intervention outcomes and SEP-moderation effects are mostly not assessed. Using different SEP-operationalizations and not specifying BCTs hampers systematic evidence accumulation regarding effective (combinations of) BCTs for the low SEP population. To learn which BCTs effectively improve health behaviors among people with lower SEP, future intervention developers should justify how SEP is operationalized and must systematically describe and examine BCTs.

“Engagement” with digital behaviour change interventions (DBCIs) is considered important for their effectiveness. Evaluating engagement is therefore a priority; however, a shared understanding of how to usefully conceptualise engagement is lacking. This review aimed to synthesise literature on engagement to identify key conceptualisations and to develop an integrative conceptual framework involving potential direct and indirect influences on engagement and relationships between engagement and intervention effectiveness. Four electronic databases (Ovid MEDLINE, PsycINFO, ISI Web of Knowledge, ScienceDirect) were searched in November 2015. We identified 117 articles that met the inclusion criteria: studies employing experimental or non-experimental designs with adult participants explicitly or implicitly referring to engagement with DBCIs, digital games or technology. Data were synthesised using principles from critical interpretive synthesis. Engagement with DBCIs is conceptualised in terms of both experiential and behavioural aspects. A conceptual framework is proposed in which engagement with a DBCI is influenced by the DBCI itself (content and delivery), the context (the setting in which the DBCI is used and the population using it) and the behaviour that the DBCI is targeting. The context and “mechanisms of action” may moderate the influence of the DBCI on engagement. Engagement, in turn, moderates the influence of the DBCI on those mechanisms of action. In the research literature, engagement with DBCIs has been conceptualised in terms of both experience and behaviour and sits within a complex system involving the DBCI, the context of use, the mechanisms of action of the DBCI and the target behaviour.

Background Behaviour change is key to addressing both the challenges facing human health and wellbeing and to promoting the uptake of research findings in health policy and practice. We need to make better use of the vast amount of accumulating evidence from behaviour change intervention (BCI) evaluations and promote the uptake of that evidence into a wide range of contexts. The scale and complexity of the task of synthesising and interpreting this evidence, and increasing evidence timeliness and accessibility, will require increased computer support. The Human Behaviour-Change Project (HBCP) will use Artificial Intelligence and Machine Learning to (i) develop and evaluate a ‘Knowledge System’ that automatically extracts, synthesises and interprets findings from BCI evaluation reports to generate new insights about behaviour change and improve prediction of intervention effectiveness and (ii) allow users, such as practitioners, policy makers and researchers, to easily and efficiently query the system to get answers to variants of the question ‘ What works, compared with what, how well, with what exposure, with what behaviours (for how long), for whom, in what settings and why?’ . Methods The HBCP will: a) develop an ontology of BCI evaluations and their reports linking effect sizes for given target behaviours with intervention content and delivery and mechanisms of action, as moderated by exposure, populations and settings; b) develop and train an automated feature extraction system to annotate BCI evaluation reports using this ontology; c) develop and train machine learning and reasoning algorithms to use the annotated BCI evaluation reports to predict effect sizes for particular combinations of behaviours, interventions, populations and settings; d) build user and machine interfaces for interrogating and updating the knowledge base; and e) evaluate all the above in terms of performance and utility. Discussion The HBCP aims to revolutionise our ability to synthesise, interpret and deliver evidence on behaviour change interventions that is up-to-date and tailored to user need and context. This will enhance the usefulness, and support the implementation of, that evidence.

Background The ubiquity of Internet connectivity, and widespread unmet needs, requires investigations of digital interventions for people seeking help with their drinking. The objective of this study was to test the effectiveness of a digital alcohol intervention compared to existing online resources for help seekers. Methods This parallel randomised controlled trial included 2129 risky drinkers with access to a mobile phone and aged 18 years or older. Randomised sub-studies investigated consent procedures and control group design. Simple computerised randomisation was used. Participants were aware of allocation after randomisation; research personnel were not. The digital intervention was designed around weekly monitoring of alcohol consumption followed by feedback and tools for behaviour change. Primary outcomes were total weekly consumption (TWC) and frequency of heavy episodic drinking (HED), measured 2 and 4 months post-randomisation. Results Between 25/04/2019 and 26/11/2020, 2129 participants were randomised (intervention: 1063, control: 1066). Negative binomial regression was used to contrast groups, with both Bayesian and maximum likelihood inference. The posterior median incidence rate ratio (IRR) of TWC was 0.89 (95% CI = 0.81;0.99, 98.2% probability of effect, P -value = 0.033) at 2 months among 1557 participants and 0.77 (95% CI = 0.69;0.86, > 99.9% probability of effect, P -value < 0.001) at 4 months among 1429 participants. For HED, the IRR was 0.83 (95% CI = 0.75;0.93, > 99.9% probability of effect, P -value = 0.0009) at 2 months among 1548 participants and 0.71 (95% CI = 0.63;0.79, probability of effect > 99.9%, P -value < 0.0001) at 4 months among 1424 participants. Analyses with imputed data were not markedly different. Conclusions A digital alcohol intervention produced self-reported behaviour change among online help seekers in the general population. The internal and external validity of this trial is strong, subject to carefully considered study limitations arguably inherent to trials of this nature. Limitations include higher than anticipated attrition to follow-up and lack of blinding. Trial registration The trial was prospectively registered ( ISRCTN48317451 ).

The effectiveness of digital health interventions is commonly assumed to be related to the level of user engagement with the digital health intervention, including measures of both digital health intervention use and users' subjective experience. However, little is known about the relationships between the measures of digital health intervention engagement and physical activity or sedentary behavior. This study aims to describe the direction and strength of the association between engagement with digital health interventions and physical activity or sedentary behavior in adults and explore whether the direction of association of digital health intervention engagement with physical activity or sedentary behavior varies with the type of engagement with the digital health intervention (ie, subjective experience, activities completed, time, and logins). Four databases were searched from inception to December 2019. Grey literature and reference lists of key systematic reviews and journals were also searched. Studies were eligible for inclusion if they examined a quantitative association between a measure of engagement with a digital health intervention targeting physical activity and a measure of physical activity or sedentary behavior in adults (aged ≥18 years). Studies that purposely sampled or recruited individuals on the basis of pre-existing health-related conditions were excluded. In addition, studies were excluded if the individual engaging with the digital health intervention was not the target of the physical activity intervention, the study had a non-digital health intervention component, or the digital health interventions targeted multiple health behaviors. A random effects meta-analysis and direction of association vote counting (for studies not included in meta-analysis) were used to address objective 1. Objective 2 used vote counting on the direction of the association. Overall, 10,653 unique citations were identified and 375 full texts were reviewed. Of these, 19 studies (26 associations) were included in the review, with no studies reporting a measure of sedentary behavior. A meta-analysis of 11 studies indicated a small statistically significant positive association between digital health engagement (based on all usage measures) and physical activity (0.08, 95% CI 0.01-0.14, SD 0.11). Heterogeneity was high, with 77% of the variation in the point estimates explained by the between-study heterogeneity. Vote counting indicated that the relationship between physical activity and digital health intervention engagement was consistently positive for three measures: subjective experience measures (2 of 3 associations), activities completed (5 of 8 associations), and logins (6 of 10 associations). However, the direction of associations between physical activity and time-based measures of usage (time spent using the intervention) were mixed (2 of 5 associations supported the hypothesis, 2 were inconclusive, and 1 rejected the hypothesis). The findings indicate a weak but consistent positive association between engagement with a physical activity digital health intervention and physical activity outcomes. No studies have targeted sedentary behavior outcomes. The findings were consistent across most constructs of engagement; however, the associations were weak.

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.

Background Physical inactivity is associated with poor health outcomes in chronic obstructive pulmonary disease (COPD). It is therefore crucial for patients to have a physically active lifestyle. The aims of this feasibility study were to assess a tablet-based physical activity behavioural intervention in virtual groups for COPD regarding 1) patients’ acceptance 2) technology usability 3) patients’ exercise programme adherence and 4) changes in patients’ physical activity level. Methods We used an application with functionality for a virtual peer group, a digital exercise diary, a follow-along exercise video, and visual rewards on the home screen wallpaper. The exercise programme combined scheduled virtual group exercising (outdoor ground walking, indoor resistance and strength training) with self-chosen individual exercises. Ten participants with COPD were enrolled into two exercise training groups. Patients’ acceptance was assessed by semi-structured interviews, technology usability was assessed by the System Usability Scale, and exercise programme adherence and level of physical activity by self-reporting. The interviews were also used for the latter three aspects. Results The virtual peer group was experienced as motivating, helping participants to get started and be physically active. They updated their own activity status and kept track of the others’ status. Having a time schedule for the virtual group exercises helped them to avoid postponing the exercise training. All participants recorded individual exercises in the diary, the exercise video was well received and used, and most participants paid attention to the visual rewards. All participants found the technology easy both to learn and to use. The exercise programme adherence was good, with, on average, 77% attendance for the virtual group exercises, and all participants performed additional individual exercises. The average number of physical activity sessions per week was doubled from 2.9 (range 0–10, median 2) at baseline to 5.9 (range 3.3–10.33, median 4.8) during the intervention period. Conclusion The results indicate that the tablet-based intervention may be feasible in COPD, and that it was acceptable, encouraged a sense of peer support and fellowship in the group and motivated participants to physical activity and exercise training in daily life. Further assessment is needed on patient outcomes.

To evaluate the hypothesis that a perinatal educational dietary intervention focused on 'eating for the gut microbiota' improves diet quality of pregnant women pre- and postnatally. The Healthy Parents, Healthy Kids study is a prospectively registered randomised controlled trial designed to evaluate the efficacy of a dietary intervention in altering the maternal and infant gut microbiota and improving perinatal diet quality. Eligible pregnant women were randomised to receive dietary advice from their healthcare provider or to additionally receive a three session dietary intervention. Dietary data were collected at gestation weeks 26, 31, 36 and postnatal week 4. Outcome measures were diet quality, dietary variety, prebiotic and probiotic food intakes, energy, fibre, saturated fat and discretionary food intakes. Between-group differential changes from baseline before and after birth in these dietary measures were assessed using generalised estimating equations. Melbourne, Australia. Healthy pregnant women from gestation week 26. Forty-five women were randomised (twenty-two control, twenty-three intervention). Compared with the control group, the intervention group improved diet quality prior to birth (5·66 (95 % CI 1·65, 9·67), Cohen's d: 0·82 (se 0·33)). The intervention improved dietary variety (1·05 (95 % CI 0·17, 1·94), d: 0·66 (se 0·32)) and increased intakes of prebiotic (0·8 (95 % CI 0·27, 1·33), d: 0·91 (se 0·33)) and probiotic foods (1·05 (95 % CI 0·57, 1·53), d: 1·3(se 0·35)) over the whole study period compared with the control group. A dietary intervention focused on 'eating for the gut microbiota' can improve aspects of perinatal diet quality during and after pregnancy.

Background Non-communicable diseases (NCDs) are the leading cause of premature deaths globally, largely driven by modifiable behavioural risk factors such as unhealthy diet, physical inactivity, tobacco use, and alcohol consumption. Health literacy (HL) plays a vital role in modifying these behaviours. Evidence shows that Healthcare Assistants (HCAs) in Sri Lanka despite working in hospitals often demonstrate limited HL and high rates of risk behaviours. Enhancing HL among HCAs is therefore essential both for their own health and for enabling them to serve as credible health advocates in NCD prevention. Objective This study aimed to develop and validate a Behaviour Change Intervention Package (BCIP) to improve HL related to NCD behavioural risk factors among HCAs in government hospitals in Sri Lanka. Methods A Behaviour Change Intervention Package (BCIP) was developed using the Intervention Mapping (IM) approach, informed by the Calgary Charter HL framework. Steps included assessment of the logic model of the problem, setting objectives, intervention design, expert content validation, pilot testing, and planning for implementation and evaluation. The BCIP comprised a curriculum, facilitator guide, participant handbook, and PowerPoint presentations, for 16 two-hour sessions across eight weeks. Sessions employed lectures, role-play, group discussions, brainstorming, and m-health tools. Content validity was assessed by a 10-member expert panel, while pilot testing in selected hospitals evaluated feasibility and acceptability. Results Findings revealed that HL among HCAs was limited by factors at individual, family, organizational, community, and policy levels. The BCIP addressed these determinants by focusing on HL’s four domains- finding, understanding, comparing, and applying health information. Expert review confirmed high relevance and appropriateness (mean scores > 3.0), while pilot testing showed feasibility and participant satisfaction with content, delivery methods, and session duration. Conclusion The validated BCIP provides a structured, theory-driven approach to improving HL and reducing NCD risk behaviours among HCAs. Pilot findings support its feasibility for integration into routine induction or in-service training. Future studies will evaluate its effectiveness, with potential adaptation for broader workplace health promotion in Sri Lanka.