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1

Atkins, Lou, Caroline Wood e Susan Michie. "…design and describe behaviour change interventions". Health Psychology Update 24, n. 2 (2015): 36–42. http://dx.doi.org/10.53841/bpshpu.2015.24.2.36.

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To prevent illness, promote recovery and support optimal delivery of health care services, health psychologists need to design effective behaviour change interventions. This paper describes two recently launched resources available to health psychologists to guide the design of behaviour change interventions and specification of intervention content:(i) The Behaviour Change Wheel: A Guide to Designing Interventions.(ii) Online training in a method for specifying the active content of behaviour change interventions: The Behaviour Change Techniques Taxonomy v1 (BCTTv1).
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Allemand, Mathias, e Christoph Flückiger. "Personality Change Through Digital-Coaching Interventions". Current Directions in Psychological Science 31, n. 1 (25 gennaio 2022): 41–48. http://dx.doi.org/10.1177/09637214211067782.

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A highly relevant but provocative research question is whether and how one can intentionally change personality traits through psychological interventions, given that traits are relatively stable by definition. Recently, research has begun to investigate personality change through intervention in nonclinical populations. One attractive and innovative interventional avenue may lie in using digital applications to guide and support people in their desire to change their personality and trigger change processes. This article provides a rationale for nonclinical personality-change interventions and discusses motivations to change, the potential of using digital applications for intervention efforts, key studies that illustrate this emerging field of research, and future directions.
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Atkins, Lou, e Susan Michie. "Designing interventions to change eating behaviours". Proceedings of the Nutrition Society 74, n. 2 (maggio 2015): 164–70. http://dx.doi.org/10.1017/s0029665115000075.

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Understanding and changing eating behaviours are central to the work of Nutrition Society members working in both research and applied settings. The present paper describes a recently published resource to guide the design of interventions to change behaviour, The Behaviour Change Wheel: A Guide to Designing Interventions (BCW Guide). This is a practical guide to intervention design that brings together recently-developed theory-based tools in behavioural science into a coherent step-by-step design process. It is based on the BCW, a synthesis of nineteen frameworks of behaviour change found in the research literature. The BCW has at its core a model of behaviour known as ‘capability’, ‘opportunity’, ‘motivation’ and ‘behaviour’. The model recognises that behaviour is part of an interacting system involving all these components. The BCW identifies different intervention options that can be applied to changing each of the components and policies that can be adopted to deliver those intervention options. The book shows how the BCW links to theory-based frameworks to understand behaviour such as the Theoretical Domains Framework and the recently developed Behaviour Change Technique Taxonomy v1 for specifying intervention content. In essence, it shows how to link what is understood about a given behaviour to types of intervention likely to be effective and then translate this into a locally relevant intervention. In addition, the present paper sets out some principles of intervention design.
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Young, Sean D. "The Adaptive Behavioral Components (ABC) Model for Planning Longitudinal Behavioral Technology-Based Health Interventions: A Theoretical Framework". Journal of Medical Internet Research 22, n. 6 (26 giugno 2020): e15563. http://dx.doi.org/10.2196/15563.

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A growing number of interventions incorporate digital and social technologies (eg, social media, mobile phone apps, and wearable devices) into their design for behavior change. However, because of a number of factors, including changing trends in the use of technology over time, results on the efficacy of these interventions have been mixed. An updated framework is needed to help researchers better plan behavioral technology interventions by anticipating the needed resources and potential changes in trends that may affect interventions over time. Focusing on the domain of health interventions as a use case, we present the Adaptive Behavioral Components (ABC) model for technology-based behavioral interventions. ABC is composed of five components: basic behavior change; intervention, or problem-focused characteristics; population, social, and behavioral characteristics; individual-level and personality characteristics; and technology characteristics. ABC was designed with the goals of (1) guiding high-level development for digital technology–based interventions; (2) helping interventionists consider, plan for, and adapt to potential barriers that may arise during longitudinal interventions; and (3) providing a framework to potentially help increase the consistency of findings among digital technology intervention studies. We describe the planning of an HIV prevention intervention as a case study for how to implement ABC into intervention design. Using the ABC model to plan future interventions might help to improve the design of and adherence to longitudinal behavior change intervention protocols; allow these interventions to adapt, anticipate, and prepare for changes that may arise over time; and help to potentially improve intervention behavior change outcomes. Additional research is needed on the influence of each of ABC’s components to help improve intervention design and implementation.
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Barends, Eric, Barbara Janssen, Wouter ten Have e Steven ten Have. "Effects of Change Interventions". Journal of Applied Behavioral Science 50, n. 1 (28 gennaio 2013): 5–27. http://dx.doi.org/10.1177/0021886312473152.

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Hallward, Laura, Nisha Patel e Lindsay R. Duncan. "Behaviour change techniques in physical activity interventions for men with prostate cancer: A systematic review". Journal of Health Psychology 25, n. 1 (15 febbraio 2018): 105–22. http://dx.doi.org/10.1177/1359105318756501.

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Physical activity interventions can improve prostate cancer survivors’ health. Determining the behaviour change techniques used in physical activity interventions can help elucidate the mechanisms by which an intervention successfully changes behaviour. The purpose of this systematic review was to identify and evaluate behaviour change techniques in physical activity interventions for prostate cancer survivors. A total of 7 databases were searched and 15 studies were retained. The studies included a mean 6.87 behaviour change techniques (range = 3–10), and similar behaviour change techniques were implemented in all studies. Consideration of how behaviour change techniques are implemented may help identify how behaviour change techniques enhance physical activity interventions for prostate cancer survivors.
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Rad, Dana, e Gavril Rad. "Theory of Change in Digital Behavior Change Interventions (Dbcis) And Community-Based Change Initiatives – A General Framework". Technium Social Sciences Journal 21 (9 luglio 2021): 554–69. http://dx.doi.org/10.47577/tssj.v21i1.3950.

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A theory of change is a purposeful model of how an initiative, such as a policy, a strategy, a program, a project or an intervention contributes through a chain of early and intermediate outcomes to the intended result. Theories of change help navigate the complexity of social change. Digital behavior change interventions (DBCIs) and Community-based change initiatives represent complex designable systems. The goal of the DCBI is to provide an effective theoretical framework for behavioral change to practitioners that offer different forms of psychological intervention based on scientifically validated practices. Applying theory of change when designing digital individual and community interventions for optimizing digital wellbeing helps practitioners to achieve results in practice, as this strategic approach is generally considered an evidence-based framework. Theory of change is useful to guide the strategic thinking and action, as most of DCBI/ Community-based change initiatives research endeavors are active in a complex situation, often unplanned events happening. Conclusions and implications are discussed.
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8

Kolodko, Julia, Kelly Ann Schmidtke, Daniel Read e Ivo Vlaev. "#LetsUnlitterUK: A demonstration and evaluation of the Behavior Change Wheel methodology". PLOS ONE 16, n. 11 (16 novembre 2021): e0259747. http://dx.doi.org/10.1371/journal.pone.0259747.

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The Behavior Change Wheel is the most comprehensive and practically useful methodology available for developing behavior change interventions. The current article demonstrates how it can be applied to optimize pro-environmental behaviors and, in so doing, give interventionists access to a rigorous set of theories and techniques for systematically developing pro-environmental interventions. Section 1 describes the development of an intervention to increase people’s intentions to post anti-littering messages on social media. Study 2 describes the development and evaluation of an intervention to increase people’s actual anti-littering posts. Both evaluations are randomized controlled trials that compare the effectiveness of the developed intervention with interventions less informed by the Wheel. We found interventions completely informed by the Wheel to be more effective than interventions less (or not at all) informed by the Wheel. The discussion explores how the Behavior Change Wheel methodology can be used to design future pro-environment interventions.
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9

Norris, Emma, Marta M. Marques, Ailbhe N. Finnerty, Alison J. Wright, Robert West, Janna Hastings, Poppy Williams et al. "Development of an Intervention Setting Ontology for behaviour change: Specifying where interventions take place". Wellcome Open Research 5 (10 giugno 2020): 124. http://dx.doi.org/10.12688/wellcomeopenres.15904.1.

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Background: Contextual factors such as an intervention’s setting are key to understanding how interventions to change behaviour have their effects and patterns of generalisation across contexts. The intervention’s setting is not consistently reported in published reports of evaluations. Using ontologies to specify and classify intervention setting characteristics enables clear and reproducible reporting, thus aiding replication, implementation and evidence synthesis. This paper reports the development of a Setting Ontology for behaviour change interventions as part of a Behaviour Change Intervention Ontology, currently being developed in the Wellcome Trust funded Human Behaviour-Change Project. Methods: The Intervention Setting Ontology was developed following methods for ontology development used in the Human Behaviour-Change Project: 1) Defining the ontology’s scope, 2) Identifying key entities by reviewing existing classification systems (top-down) and 100 published behaviour change intervention reports (bottom-up), 3) Refining the preliminary ontology by literature annotation of 100 reports, 4) Stakeholder reviewing by 23 behavioural science and public health experts to refine the ontology, 5) Assessing inter-rater reliability of using the ontology by two annotators familiar with the ontology and two annotators unfamiliar with it, 6) Specifying ontological relationships between setting entities and 7) Making the Intervention Setting Ontology machine-readable using Web Ontology Language (OWL) and publishing online. Results: The Intervention Setting Ontology consists of 72 entities structured hierarchically with two upper-level classes: Physical setting including Geographic location, Attribute of location (including Area social and economic condition, Population and resource density sub-levels) and Intervention site (including Facility, Transportation and Outdoor environment sub-levels), as well as Social setting. Inter-rater reliability was found to be 0.73 (good) for those familiar with the ontology and 0.61 (acceptable) for those unfamiliar with it. Conclusion: The Intervention Setting Ontology can be used to code information from diverse sources, annotate the setting characteristics of existing intervention evaluation reports and guide future reporting.
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10

Müssener, Ulrika. "Digital encounters: Human interactions in mHealth behavior change interventions". DIGITAL HEALTH 7 (gennaio 2021): 205520762110297. http://dx.doi.org/10.1177/20552076211029776.

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Digitalization and high mobile phone ownership globally have radically changed communication in all areas of society, including health care. Previous research has shown the effectiveness of behavior change interventions delivered by mobile phones and has highlighted advantages, such as that they require fewer resources than traditional face-to-face interventions and can be delivered at any time. One of the foremost questions pertaining to unsupported digital interventions is whether they can ever be comparable to in-person interventions. Little is known about the therapeutic alliance and the specific qualities of encounters in digital interactions for behavior change. Human interactions in digital interventions and their relationship with outcomes require further investigation. This paper aims to encourage critical reflection and further consideration of mHealth behavior change interventions in a digital age, when even the professional is excluded from the intervention. Questions are raised on the feelings associated with digital therapeutic relationships and how such interactions might affect user’s capacity for behavioral change. Some technological features and human-like considerations for enhancing digital encounters in mHealth interventions are given. Finally, suggestions for future research to facilitate the digital encounter in mHealth behavior change interventions is presented.
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11

Bartholomew, John B. "Environments Change Child Behavior, But Who Changes Environments?" Kinesiology Review 4, n. 1 (febbraio 2015): 71–76. http://dx.doi.org/10.1123/kr.2014-0077.

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Numerous interventions have been designed to modify children's physical activity and eating behaviors. While early research centered on the individual as the target of intervention, more recent work targets change in the environment. These studies have consistently supported the importance of environmental contributors to both physical activity and eating behavior, but little research has considered those who are responsible for implementing environmental change. For example, if we expect school environments to support activity and healthy eating, we must consider the motivation of school administrators to affect change. This review will present examples of an ecological approach to behavior change along with recent data to support this approach.
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12

Elwyn, Glyn, Katy Marrin, Dominick L. Frosch e James White. "Sustainable Change Sequence: A framework for developing behavior change interventions for patients with long-term conditions". European Journal for Person Centered Healthcare 2, n. 2 (8 aprile 2014): 212. http://dx.doi.org/10.5750/ejpch.v2i2.736.

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ObjectiveInteractive interventions are increasingly advocated to support behavior change for patients who have long-term conditions. Such interventions are most likely to achieve behavior change when they are based on appropriate theoretical frameworks. Developers of interventions are faced with a diverse set of behavioral theories that do not specifically address intervention development. The aim of our work was to develop a framework to guide the developers of interactive healthcare interventions that was derived from relevant theory, and which guided developers towards appropriate behavior change techniques.MethodsWe reviewed theories that inform behavior change interventions, where relevant to the management of long-term conditions. Theoretical constructs and behavior change techniques were grouped according to similarity in aims.ResultsWe developed a logic model that operationalizes behavior change theories and techniques into five steps likely to lead to sustained behavior change. The steps are: 1) create awareness of need; 2) facilitate learning; 3) enhance motivation; 4) prompt behaviour change; and 5) ensure sustainability of behaviour change.Conclusion and Practice implicationsA framework that sequences behavioural change techniques along a sustainability model provides a practical template for the developers of interactive healthcare applications and interventions.
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13

Schutte, Nicola S., e John M. Malouff. "Development and Validation of a Brief Measure of Therapeutically-Induced Change". Behavioural and Cognitive Psychotherapy 39, n. 5 (23 giugno 2011): 627–30. http://dx.doi.org/10.1017/s1352465811000257.

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Background: A premise of cognitive behavioural treatment is that individuals make cognitive, behavioural and situational changes prompted by interventions and that these changes bring about improvements in targeted outcomes. Aims: The present project set out to provide reliability and validity information for a brief measure of therapeutically induced change. Methods: A total of 281 participants, comprising three samples who took part in three different intervention studies, completed items relating to cognitive, behavioural and situational changes and completed measures relating to the intervention in which they participated. Results: The internal consistency of the scale assessing therapeutically induced change was high in the three samples. The scale showed evidence of validity through association with (1) more involvement in an intervention (2) reporting that an intervention was meaningful (3) being instructed to incorporate insights gained from an intervention into one's daily life (4) greater decreases in psychological distress and negative affect from pre-intervention to post-intervention, and (5) greater increases in positive affect from pre-intervention to post-intervention. Conclusions: The therapeutically-induced change scale may have utility as a process measure in various interventions.
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Bluethmann, Shirley M., L. Kay Bartholomew, Caitlin C. Murphy e Sally W. Vernon. "Use of Theory in Behavior Change Interventions". Health Education & Behavior 44, n. 2 (10 luglio 2016): 245–53. http://dx.doi.org/10.1177/1090198116647712.

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Objective. Theory use may enhance effectiveness of behavioral interventions, yet critics question whether theory-based interventions have been sufficiently scrutinized. This study applied a framework to evaluate theory use in physical activity interventions for breast cancer survivors. The aims were to (1) evaluate theory application intensity and (2) assess the association between extensiveness of theory use and intervention effectiveness. Methods. Studies were previously identified through a systematic search, including only randomized controlled trials published from 2005 to 2013, that addressed physical activity behavior change and studied survivors who were <5 years posttreatment. Eight theory items from Michie and Prestwich’s coding framework were selected to calculate theory intensity scores. Studies were classified into three subgroups based on extensiveness of theory use (Level 1 = sparse; Level 2 = moderate; and Level 3 = extensive). Results. Fourteen randomized controlled trials met search criteria. Most trials used the transtheoretical model ( n = 5) or social cognitive theory ( n = 3). For extensiveness of theory use, 5 studies were classified as Level 1, 4 as Level 2, and 5 as Level 3. Studies in the extensive group (Level 3) had the largest overall effect size ( g = 0.76). Effects were more modest in Level 1 and 2 groups with overall effect sizes of g = 0.28 and g = 0.36, respectively. Conclusions. Theory use is often viewed as essential to behavior change, but theory application varies widely. In this study, there was some evidence to suggest that extensiveness of theory use enhanced intervention effectiveness. However, there is more to learn about how theory can improve interventions for breast cancer survivors.
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Fagenson-Eland, Ellen, Ellen A. Ensher e W. Warner Burke. "Organization Development and Change Interventions". Journal of Applied Behavioral Science 40, n. 4 (dicembre 2004): 432–64. http://dx.doi.org/10.1177/0021886304270822.

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Costello, Declan. "Change to earlier surgical interventions". Current Opinion in Otolaryngology & Head and Neck Surgery 23, n. 3 (giugno 2015): 181–84. http://dx.doi.org/10.1097/moo.0000000000000156.

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JaKa, Meghan M., Simone A. French, Julian Wolfson, Robert W. Jeffery, Fabianna Lorencatto, Susan Michie, Rona L. Levy, Shelby L. Langer e Nancy E. Sherwood. "Understanding Outcomes in Behavior Change Interventions to Prevent Pediatric Obesity: The Role of Dose and Behavior Change Techniques". Health Education & Behavior 46, n. 2 (14 settembre 2018): 312–21. http://dx.doi.org/10.1177/1090198118798679.

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Background. Behavioral interventions to prevent pediatric obesity have shown inconsistent results across the field. Studying what happens within the “black box” of these interventions and how differences in implementation lead to different outcomes will help researchers develop more effective interventions. Aim. To compare the implementation of three features of a phone-based intervention for parents (time spent discussing weight-related behaviors, behavior change techniques used in sessions, and intervention activities implemented by parents between sessions) with study outcomes. Methods. A random selection of 100 parent–child dyads in the intervention arm of a phone-based obesity prevention trial was included in this analysis. Sessions were coded for overall session length, length of time spent discussing specific weight-related behaviors, number of behavior change techniques used during the sessions, and number of intervention-recommended activities implemented by the parents between sessions (e.g., parent-reported implementation of behavioral practice/rehearsal between sessions). The primary study outcome, prevention of unhealthy increase in child body mass index (BMI) percentile, was measured at baseline and 12 months. Results. Overall session length was associated with decreases in child BMI percentile ( b = −0.02, p = .01). There was no association between the number of behavior change techniques used in the sessions and decreases in child BMI percentile ( b = −0.29, p = .27). The number of activities the parents reported implementing between sessions was associated with decreases in child BMI percentile ( b = −1.25, p = .02). Discussion. To improve future interventions, greater attention should be paid to the intended and delivered session length, and efforts should be made to facilitate parents’ implementation of intervention-recommended activities between sessions (ClinicalTrials.gov, No. NCT01084590).
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Birnbaum, Amanda S., Leslie A. Lytle, Mary Story, Cheryl L. Perry e David M. Murray. "Are Differences in Exposure to a Multicomponent School-Based Intervention Associated with Varying Dietary Outcomes in Adolescents?" Health Education & Behavior 29, n. 4 (agosto 2002): 427–43. http://dx.doi.org/10.1177/109019810202900404.

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Multicomponent interventions are recommended for health behavior change among adolescents. However, it is difficult to disentangle the effects of multiple intervention components. This article reports outcomes associated with varying levels of exposure to a school-based nutrition intervention, Teens Eating for Energy and Nutrition at School (TEENS). Four incremental exposureswere possible: (1) control group, (2) school environment interventions only, (3) classroom plus environment interventions, and (4) peer leaders plus classroom plus environment interventions. Patterns suggesting dose response were observed, with peer leaders reporting the largest increases in fruit, vegetable, and lower fat food consumption. Students exposed to classroom plus environment interventions also improved, whereas students exposed only to school environment interventions showed trends toward choosing lower fat foods and declining fruit intake and no change in vegetable intake. Control students’ choices remained stable. Future studies may investigate mechanisms for peer leaders’ changes, maximizing curriculum effectiveness, and improving environmental interventions.
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Morden, Andrew, Lauren Brooks, Clare Jinks, Mark Porcheret, Bie Nio Ong e Krysia Dziedzic. "Research “push”, long term-change, and general practice". Journal of Health Organization and Management 29, n. 7 (16 novembre 2015): 798–821. http://dx.doi.org/10.1108/jhom-07-2014-0119.

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Purpose – Intervention evaluations have not always accounted for long-term implementation of interventions. The purpose of this paper is to explore implementation of a primary care intervention during the lifespan of the trial and beyond. Design/methodology/approach – Eight general practices participated in the trial (four control and four intervention). In-depth interviews (with nine GPs and four practices nurses who delivered the intervention) and observation methods were employed. Thematic analysis was utilized and Normalization Process Theory (NPT) constructs were compared with emergent themes. Findings – Macro-level policy imperatives shaped practice priorities which resulted in the “whole system” new intervention not being perceived to be sustainable. Continued routinization of the intervention into usual care beyond the lifespan of the funded study was dependent on individualized monitoring and taking forward tacit knowledge. Research limitations/implications – The authors discuss the implications of these findings for sociological theories of implementation and understanding outcomes of research led complex interventions. Originality/value – The study describes the complex interplay between macro processes and individual situated practices and contributes to understanding if, how, and why interventions are sustained beyond initial “research push”. The value of the study lies in describing the conditions and potential consequences of long-term implementation, which might be translated to other contexts.
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Gleason, Kelly T., Laura N. Gitlin e Sarah L. Szanton. "The Association of Socioeconomic Conditions and Readiness to Learn New Ways of Performing Daily Activities in Older Adults With Functional Difficulties". Journal of Applied Gerontology 38, n. 6 (17 luglio 2017): 849–65. http://dx.doi.org/10.1177/0733464817721110.

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Behavioral interventions for older adults can reduce difficulties in performing daily activities, hospitalizations, and mortality risk. The success of behavior change interventions, however, can be affected by a participant’s readiness to adopt changes. This study evaluates whether socioeconomic conditions, particularly financial strain affording food, are associated with readiness to change. We conducted a cross-sectional, descriptive study of baseline data from disabled older adults ( N = 147) participating in an intervention to reduce physical disability. Readiness to change score was rated at the start of the intervention by interventionists as either pre-action (precontemplation = 1, contemplation = 2, preparation = 3) or action (=4). Participants reporting high financial strain affording food were more likely to have high readiness at the start of intervention; the association of this specific socioeconomic condition with readiness may be an important consideration in implementing interventions to reduce disability.
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Araújo-Soares, Vera, Nelli Hankonen, Justin Presseau, Angela Rodrigues e Falko F. Sniehotta. "Developing Behavior Change Interventions for Self-Management in Chronic Illness". European Psychologist 24, n. 1 (gennaio 2019): 7–25. http://dx.doi.org/10.1027/1016-9040/a000330.

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Abstract. More people than ever are living longer with chronic conditions such as obesity, type 2 diabetes, and heart disease. Behavior change for effective self-management can improve health outcomes and quality of life in people living with such chronic illnesses. The science of developing behavior change interventions with impact for patients aims to optimize the reach, effectiveness, adoption, implementation, and maintenance of interventions and rigorous evaluation of outcomes and processes of behavior change. The development of new services and technologies offers opportunities to enhance the scope of delivery of interventions to support behavior change and self-management at scale. Herein, we review key contemporary approaches to intervention development, provide a critical overview, and integrate these approaches into a pragmatic, user-friendly framework to rigorously guide decision-making in behavior change intervention development. Moreover, we highlight novel emerging methods for rapid and agile intervention development. On-going progress in the science of intervention development is needed to remain in step with such new developments and to continue to leverage behavioral science’s capacity to contribute to optimizing interventions, modify behavior, and facilitate self-management in individuals living with chronic illness.
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Durks, Desire, Fernando Fernandez-Llimos, Lutfun N. Hossain, Lucia Franco-Trigo, Shalom I. Benrimoj e Daniel Sabater-Hernández. "Use of Intervention Mapping to Enhance Health Care Professional Practice: A Systematic Review". Health Education & Behavior 44, n. 4 (3 giugno 2017): 524–35. http://dx.doi.org/10.1177/1090198117709885.

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Background. Intervention Mapping is a planning protocol for developing behavior change interventions, the first three steps of which are intended to establish the foundations and rationales of such interventions. Aim. This systematic review aimed to identify programs that used Intervention Mapping to plan changes in health care professional practice. Specifically, it provides an analysis of the information provided by the programs in the first three steps of the protocol to determine their foundations and rationales of change. Method. A literature search was undertaken in PubMed, Scopus, SciELO, and DOAJ using “Intervention Mapping” as keyword. Key information was gathered, including theories used, determinants of practice, research methodologies, theory-based methods, and practical applications. Results. Seventeen programs aimed at changing a range of health care practices were included. The social cognitive theory and the theory of planned behavior were the most frequently used frameworks in driving change within health care practices. Programs used a large variety of research methodologies to identify determinants of practice. Specific theory-based methods (e.g., modelling and active learning) and practical applications (e.g., health care professional training and facilitation) were reported to inform the development of practice change interventions and programs. Discussion. In practice, Intervention Mapping delineates a three-step systematic, theory- and evidence-driven process for establishing the theoretical foundations and rationales underpinning change in health care professional practice. Conclusion. The use of Intervention Mapping can provide health care planners with useful guidelines for the theoretical development of practice change interventions and programs.
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van Doorn-van Atten, Marije, Lisette de Groot, Jeanne de Vries e Annemien Haveman-Nies. "Determinants of Behaviour Change in a Multi-Component Telemonitoring Intervention for Community-Dwelling Older Adults". Nutrients 10, n. 8 (10 agosto 2018): 1062. http://dx.doi.org/10.3390/nu10081062.

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Optimal diet quality and physical activity levels are essential for healthy ageing. This study evaluated the effects of a multi-component telemonitoring intervention on behavioural determinants of diet quality and physical activity in older adults, and assessed the mediating role of these determinants and two behaviour change techniques in the intervention’s effects. A non-randomised controlled design was used including 214 participants (average age 80 years) who were allocated to the intervention or control group based on municipality. The six-month intervention consisted of self-measurements of nutritional outcomes and physical activity, education, and follow-up by a nurse. The control group received regular care. Measurements took place at baseline, after 4.5 months and at the end of the study. The intervention increased self-monitoring and improved knowledge and perceived behavioural control for physical activity. Increased self-monitoring mediated the intervention’s effect on diet quality, fruit intake, and saturated fatty acids intake. Improved knowledge mediated the effect on protein intake. Concluding, this intervention led to improvements in behavioural determinants of diet quality and physical activity. The role of the hypothesised mediators was limited. Insight into these mechanisms of impact provides directions for future development of nutritional eHealth interventions for older adults, in which self-monitoring may be a promising behaviour change technique. More research is necessary into how behaviour change is established in telemonitoring interventions for older adults.
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Norris, Emma, Alison J. Wright, Janna Hastings, Robert West, Neil Boyt e Susan Michie. "Specifying who delivers behaviour change interventions: development of an Intervention Source Ontology". Wellcome Open Research 6 (8 aprile 2021): 77. http://dx.doi.org/10.12688/wellcomeopenres.16682.1.

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Abstract (sommario):
Background: Identifying how behaviour change interventions are delivered, including by whom, is key to understanding intervention effectiveness. However, information about who delivers interventions is reported inconsistently in intervention evaluations, limiting communication and knowledge accumulation. This paper reports a method for consistent reporting: The Intervention Source Ontology. This forms one part of the Behaviour Change Intervention Ontology, which aims to cover all aspects of behaviour change interventions. Methods: The Intervention Source Ontology was developed following methods for ontology development and maintenance used in the Human Behaviour-Change Project, with seven key steps: 1) define the scope of the ontology, 2) identify key entities and develop their preliminary definitions by reviewing existing classification systems (top-down) and reviewing 100 behaviour change intervention reports (bottom-up), 3) refine the ontology by piloting the preliminary ontology on 100 reports, 4) stakeholder review by 34 behavioural science and public health experts, 5) inter-rater reliability testing of annotating intervention reports using the ontology, 6) specify ontological relationships between entities and 7) disseminate and maintain the Intervention Source Ontology. Results: The Intervention Source Ontology consists of 140 entities. Key areas of the ontology include Occupational Role of Source, Relatedness between Person Source and the Target Population, Sociodemographic attributes and Expertise. Inter-rater reliability was found to be 0.60 for those familiar with the ontology and 0.59 for those unfamiliar with it, levels of agreement considered ‘acceptable’. Conclusions: Information about who delivers behaviour change interventions can be reliably specified using the Intervention Source Ontology. For human-delivered interventions, the ontology can be used to classify source characteristics in existing behaviour change reports and enable clearer specification of intervention sources in reporting.
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Carton, Benjamin, Karine Hervé e Nadia Terfous. "Interventions de change asiatiques et taux de change d'équilibre". Économie & prévision 168, n. 2 (2005): 141. http://dx.doi.org/10.3917/ecop.168.0141.

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Hawley, Dale R. "Assessing Change with Preventive Interventions: The Reliable Change Index". Family Relations 44, n. 3 (luglio 1995): 278. http://dx.doi.org/10.2307/585526.

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Celis-Morales, Carlos, Jose Lara e John C. Mathers. "Personalising nutritional guidance for more effective behaviour change". Proceedings of the Nutrition Society 74, n. 2 (12 dicembre 2014): 130–38. http://dx.doi.org/10.1017/s0029665114001633.

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Abstract (sommario):
Improving diet and other lifestyle behaviours has considerable potential for reducing the global burden of non-communicable diseases, promoting better health across the life-course and increasing wellbeing. However, realising this potential will require the development, testing and implementation of much more effective behaviour change interventions than are used conventionally. Evidence-based, personalised (or stratified) interventions which incorporate effective behaviour change techniques (BCT) and which are delivered digitally are likely to be an important route to scalable and sustainable interventions. Progress in developing such interventions will depend on the outcomes of research on: (i) the best bases for personalisation of dietary advice; (ii) identification of BCT which are proven to enhance intervention efficacy; (iii) suitable platforms (digital-based tools) for collection of relevant participant characteristics (e.g. socioeconomic information, current diet and lifestyle and dietary preferences) linked with intelligent systems which use those characteristics to offer tailored feedback and advice in a cost-effective and acceptable manner. Future research should focus on such interventions aiming to reduce health inequalities and to improve overall public health.
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Tereno, Susana, Sheri Madigan, Karlen Lyons-Ruth, Andre Plamondon, Leslie Atkinson, Nicole Guedeney, Tim Greacen, Romain Dugravier, Thomas Saias e Antoine Guedeney. "Assessing a change mechanism in a randomized home-visiting trial: Reducing disrupted maternal communication decreases infant disorganization". Development and Psychopathology 29, n. 2 (12 aprile 2017): 637–49. http://dx.doi.org/10.1017/s0954579417000232.

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AbstractAlthough randomized interventions trials have been shown to reduce the incidence of disorganized attachment, no studies to date have identified the mechanisms of change responsible for such reductions. Maternal sensitivity has been assessed in various studies and shown to change with intervention, but in the only study to formally assess mediation, changes in maternal sensitivity did not mediate changes in infant security of attachment (Cicchetti, Rogosch, & Toth, 2006). Primary aims of the current randomized controlled intervention trial in a high-risk population were to fill gaps in the literature by assessing whether the intervention (a) reduced disorganization, (b) reduced disrupted maternal communication, and (c) whether reductions in disrupted maternal communication mediated changes in infant disorganization. The results indicated that, compared to controls (n= 52), both infant disorganization and disrupted maternal communication were significantly reduced in the intervention group (n= 65) that received regular home-visiting during pregnancy and the first year of life. Furthermore, reductions in disrupted maternal communication partially accounted for the observed reductions in infant disorganization compared to randomized controls. The results are discussed in relation to the societal cost effectiveness of early attachment-informed interventions for mothers and infants, as well as the importance of formally assessing underlying mechanisms of change in order to improve and appropriately target preventive interventions.
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Čož, Sinja, e Tanja Kamin. "Systematic Literature Review of Interventions for Promoting Postmortem Organ Donation From Social Marketing Perspective". Progress in Transplantation 30, n. 2 (6 aprile 2020): 155–68. http://dx.doi.org/10.1177/1526924820913509.

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Introduction: This systematic review examines the factors that make some interventions promoting postmortem organ donation more successful and more likely to change behaviors than others. We analyzed the effectiveness of different types of interventions for promoting postmortem organ donation against the criteria identified by previous research in other health-related areas as the most important for designing effective behavior change programs. We observed a correlation between the use of social marketing benchmarks and the reported success of intervention goals. Methods: We conducted a systematic review of all articles describing interventions promoting postmortem organ donation published in scientific journals between January 2008 and November 2018. We analyzed these articles against the 7 social marketing benchmark criteria using a coding questioner. Findings: The analysis revealed a correlation between the use of social marketing benchmark criteria in an intervention’s design and the success of the intervention. Interventions that employed 6 or 7 criteria reported successful achievement of all intervention objectives. We observed a decrease in success rates when fewer than 6 social marketing benchmark criteria were included in the intervention design. Discussion: The findings suggest that a social marketing approach may prove useful to efforts to promote postmortem organ donation. More social marketing benchmark criteria should be included in the design and implementation of interventions promoting postmortem organ donation.
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Burgermaster, Marissa, Isobel Contento, Pamela Koch e Lena Mamykina. "Behavior change is not one size fits all: psychosocial phenotypes of childhood obesity prevention intervention participants". Translational Behavioral Medicine 8, n. 5 (17 gennaio 2018): 799–807. http://dx.doi.org/10.1093/tbm/ibx029.

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Abstract Variability in individuals’ responses to interventions may contribute to small average treatment effects of childhood obesity prevention interventions. But, neither the causes of this individual variability nor the mechanism by which it influences behavior are clear. We used qualitative methods to characterize variability in students’ responses to participating in a childhood obesity prevention intervention and psychosocial characteristics related to the behavior change process. We interviewed 18 students participating in a school-based curriculum and policy behavior change intervention. Descriptive coding, summary, and case-ordered descriptive meta-matrices were used to group participants by their psychosocial responses to the intervention and associated behavior changes. Four psychosocial phenotypes of responses emerged: (a) Activated—successful behavior-changers with strong internal supports; (b) Inspired—motivated, but not fully successful behavior-changers with some internal supports, whose taste preferences and food environment overwhelmed their motivation; (c) Reinforced—already practiced target behaviors, were motivated, and had strong family support; and (d) Indifferent—uninterested in behavior change and only did target behaviors if family insisted. Our findings contribute to the field of behavioral medicine by suggesting the presence of specific subgroups of participants who respond differently to behavior change interventions and salient psychosocial characteristics that differentiate among these phenotypes. Future research should examine the utility of prospectively identifying psychosocial phenotypes for improving the tailoring of nutrition behavior change interventions.
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Javadi-Pashaki, Nazila, Mohammad Javad Ghazanfari e Samad Karkhah. "PATIENTS' PERCEPTION OF RECOVERY AFTER CARDIOVASCULAR INTERVENTIONS: AN IMPORTANT INDICATOR OF LIFESTYLE CHANGE". Pakistan Heart Journal 55, n. 1 (25 marzo 2022): 94–95. http://dx.doi.org/10.47144/phj.v55i1.2247.

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Abstract (sommario):
Cardiovascular disease (CVD) is one of the leading causes of premature death in the world.1 Recent advances in medical technology have led to lower mortality and better relative recovery in CVD patients. Today, various invasive procedures are used in cardiovascular interventions such as percutaneous coronary interventions (PCIs), which have led to improvements in the outcomes of CVD patients. However, despite the benefits of cardiovascular interventions, patients need to change their lifestyles. Therefore, patients with CVD need rehabilitation after cardiovascular interventions for complete recovery, which is often overlooked.2 Meanwhile, patients' perception of recovery after cardiovascular interventions is one of the key factors in predicting lifestyle changes in CVD patients. These patients should have a full awareness of a healthy lifestyle about physical activity, alcohol and tobacco use, and diet, as well as a proper perception of recovery after cardiovascular interventions.3 Hence, the results of a randomized controlled trial in the UK that assessed the impact of educational and rehabilitation programs on patients 'perceptions after myocardial infarction (MI) showed that educational and rehabilitation programs can lead to positive changes in patients' perceptions of recovery after cardiovascular interventions and lifestyle after MI, especially after three months of intervention. Also, patients in the intervention group reported fewer symptoms of angina compared to patients in the control group. Overall, educational and rehabilitation programs were effective in changing the perception of CVD patients and improving the functional outcome of patients after MI.4 In contrast, the results of another study in the Netherlands that evaluated the effect of a lifestyle intervention on CVD risk indicators in patients with familial hypercholesterolemia showed that there was no significant improvement between the intervention and control groups (usual care).5 The importance of this issue becomes clearer when these patients undergo invasive cardiovascular interventions. Despite the benefits of cardiovascular interventions, patients need to change their lifestyles. On the other hand, there is a link between patients' perceptions of recovery after cardiovascular interventions and lifestyle changes. Therefore, there is a need for serious attention to patients' perception of recovery after cardiovascular interventions. Obviously, patients' perceptions of recovery after cardiovascular interventions can be an important predictor of their lifestyle changes. However, to our knowledge, studies in this field are very limited. Therefore, it is suggested that researchers in future studies pay special attention to the perception of CVD patients of recovery after cardiovascular interventions as an important predictor of lifestyle changes in them after cardiovascular interventions. References Woringer M, Nielsen JJ, Zibarras L, Evason J, Kassianos AP, Harris M, et al. Development of a questionnaire to evaluate patients’ awareness of cardiovascular disease risk in England’s National Health Service Health Check preventive cardiovascular programme. BMJ Open. 2017;7(9):e014413. Hamon M, Pristipino C, Di Mario C, Nolan J, Ludwig J, Tubaro M, et al. Consensus document on the radial approach in percutaneous cardiovascular interventions: position paper by the European Association of Percutaneous Cardiovascular Interventions and Working Groups on Acute Cardiac Care and Thrombosis of the European Society of Cardiology. Euro Intervention. 2013;8(11):1242-51. Organization WH. Technical package for cardiovascular disease management in primary health care: healthy-lifestyle counselling. World Health Organization; 2018. Petrie KJ, Cameron LD, Ellis CJ, Buick D, Weinman J. Changing illness perceptions after myocardial infarction: an early intervention randomized controlled trial. Psychosom Med. 2002;64(4):580-6. Broekhuizen K, van Poppel MN, Koppes LL, Kindt I, Brug J, van Mechelen W. No significant improvement of cardiovascular disease risk indicators by a lifestyle intervention in people with familial hypercholesterolemia compared to usual care: results of a randomised controlled trial. BMC Res Notes. 2012;5(1):1-9.
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Holloway, Jessica. "Understanding behaviour change to promote regular dental attendance". Primary Dental Journal 10, n. 3 (settembre 2021): 55–61. http://dx.doi.org/10.1177/20501684211029424.

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Regular dental attendance is a key oral health behaviour. Behaviour change interventions are increasingly being used to promote positive oral health behaviours. A systematic approach to understanding behaviour has led to the development of frameworks which aim to guide the process of designing behaviour change interventions. One such framework is the Behaviour Change Wheel (BCW). This article aims to explore and identify barriers to regular dental attendance which may be targeted using behaviour change interventions based on the Capability, Opportunity and Motivation Behaviour model (COM-B) and the BCW, and suggests potential behaviour change techniques which could be utilised into a behaviour change intervention with the aim to promote regular dental attendance.
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Marques, Marta M., Rachel N. Carey, Emma Norris, Fiona Evans, Ailbhe N. Finnerty, Janna Hastings, Ella Jenkins, Marie Johnston, Robert West e Susan Michie. "Delivering Behaviour Change Interventions: Development of a Mode of Delivery Ontology". Wellcome Open Research 5 (26 febbraio 2021): 125. http://dx.doi.org/10.12688/wellcomeopenres.15906.2.

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Background: Investigating and improving the effects of behaviour change interventions requires detailed and consistent specification of all aspects of interventions. An important feature of interventions is the way in which these are delivered, i.e. their mode of delivery. This paper describes an ontology for specifying the mode of delivery of interventions, which forms part of the Behaviour Change Intervention Ontology, currently being developed in the Wellcome Trust funded Human Behaviour-Change Project. Methods: The Mode of Delivery Ontology was developed in an iterative process of annotating behaviour change interventions evaluation reports, and consulting with expert stakeholders. It consisted of seven steps: 1) annotation of 110 intervention reports to develop a preliminary classification of modes of delivery; 2) open review from international experts (n=25); 3) second round of annotations with 55 reports to test inter-rater reliability and identify limitations; 4) second round of expert review feedback (n=16); 5) final round of testing of the refined ontology by two annotators familiar and two annotators unfamiliar with the ontology; 6) specification of ontological relationships between entities; and 7) transformation into a machine-readable format using the Web Ontology Language (OWL) and publishing online. Results: The resulting ontology is a four-level hierarchical structure comprising 65 unique modes of delivery, organised by 15 upper-level classes: Informational, Environmental change, Somatic, Somatic alteration, Individual-based/ Pair-based /Group-based, Uni-directional/Interactional, Synchronous/ Asynchronous, Push/ Pull, Gamification, Arts feature. Relationships between entities consist of is_a. Inter-rater reliability of the Mode of Delivery Ontology for annotating intervention evaluation reports was a=0.80 (very good) for those familiar with the ontology and a= 0.58 (acceptable) for those unfamiliar with it. Conclusion: The ontology can be used for both annotating and writing behaviour change intervention evaluation reports in a consistent and coherent manner, thereby improving evidence comparison, synthesis, replication, and implementation of effective interventions.
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Marques, Marta M., Rachel N. Carey, Emma Norris, Fiona Evans, Ailbhe N. Finnerty, Janna Hastings, Ella Jenkins, Marie Johnston, Robert West e Susan Michie. "Delivering Behaviour Change Interventions: Development of a Mode of Delivery Ontology". Wellcome Open Research 5 (10 giugno 2020): 125. http://dx.doi.org/10.12688/wellcomeopenres.15906.1.

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Abstract (sommario):
Background: Investigating and improving the effects of behaviour change interventions requires detailed and consistent specification of all aspects of interventions. An important feature of interventions is the way in which these are delivered, i.e. their mode of delivery. This paper describes an ontology for specifying the mode of delivery of interventions, which forms part of the Behaviour Change Intervention Ontology, currently being developed in the Wellcome Trust funded Human Behaviour-Change Project. Methods: The Mode of Delivery Ontology was developed in an iterative process of annotating behaviour change interventions evaluation reports, and consulting with expert stakeholders. It consisted of seven steps: 1) annotation of 110 intervention reports to develop a preliminary classification of modes of delivery; 2) open review from international experts (n=25); 3) second round of annotations with 55 reports to test inter-rater reliability and identify limitations; 4) second round of expert review feedback (n=16); 5) final round of testing of the refined ontology by two annotators familiar and two annotators unfamiliar with the ontology; 6) specification of ontological relationships between entities; and 7) transformation into a machine-readable format using the Web Ontology Language (OWL) language and publishing online. Results: The resulting ontology is a four-level hierarchical structure comprising 65 unique modes of delivery, organised by 15 upper-level classes: Informational, Environmental change, Somatic, Somatic alteration, Individual-based/ Pair-based /Group-based, Uni-directional/Interactional, Synchronous/ Asynchronous, Push/ Pull, Gamification, Arts feature. Relationships between entities consist of is_a. Inter-rater reliability of the Mode of Delivery Ontology for annotating intervention evaluation reports was a=0.80 (very good) for those familiar with the ontology and a= 0.58 (acceptable) for those unfamiliar with it. Conclusion: The ontology can be used for both annotating and writing behaviour change intervention evaluation reports in a consistent and coherent manner, thereby improving evidence comparison, synthesis, replication, and implementation of effective interventions.
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Hutchison, Andrew J., Jeff D. Breckon e Lynne H. Johnston. "Physical Activity Behavior Change Interventions Based on the Transtheoretical Model: A Systematic Review". Health Education & Behavior 36, n. 5 (7 luglio 2008): 829–45. http://dx.doi.org/10.1177/1090198108318491.

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This review critically examines Transtheoretical Model (TTM)—based interventions for physical activity (PA) behavior change. It has been suggested that the TTM may not be the most appropriate theoretical model for applications to PA behavior change. However, previous reviews have paid little or no attention to how accurately each intervention represents the TTM. Findings comprise two sections: sample characteristics of each intervention reviewed and a summary outlining the use of the TTM to develop the interventions. Results reveal numerous inconsistencies regarding the development and implementation/application of TTM-based interventions. Specifically, the majority of interventions reported to be based on the TTM fail to accurately represent all dimensions of the model. Therefore, until interventions are developed to accurately represent the TTM, the efficacy of these approaches and the appropriateness of the underpinning theoretical model cannot be determined.
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Greenwell, Kate, Debbie Featherstone e Derek J. Hoare. "The Application of Intervention Coding Methodology to Describe the Tinnitus E-Programme, an Internet-Delivered Self-Help Intervention for Tinnitus". American Journal of Audiology 24, n. 3 (settembre 2015): 311–15. http://dx.doi.org/10.1044/2015_aja-14-0089.

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Purpose This article describes the Tinnitus E-Programme, a previously untested Internet-delivered self-help intervention for tinnitus. Method Intervention coding methodology was applied to describe the intervention components, techniques, and mode of delivery. Results The intervention consists of 5 self-management intervention components, 5 behavior change techniques, and 3 modes of Internet delivery, which aim to promote relaxation behavior and reduce tinnitus distress. Conclusions The intervention coding provided a reliable method for reporting Internet-delivered self-help interventions. It will be used to facilitate our understanding of the intervention's potential mechanisms of change and will guide future evaluation work.
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de Ruijter, Dennis, Enrique Mergelsberg, Matty Crone, Eline Smit e Ciska Hoving. "Identifying Active Ingredients, Working Mechanisms, and Fidelity Characteristics Reported in Smoking Cessation Interventions in Dutch Primary Care: A Systematic Review". Nicotine & Tobacco Research 24, n. 5 (12 novembre 2021): 654–62. http://dx.doi.org/10.1093/ntr/ntab236.

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Abstract Background Evidence-based smoking cessation interventions provided by healthcare professionals can be successful in helping citizens to quit smoking. Yet, evidence is needed about the active ingredients of these interventions, how these ingredients work and how they are implemented in practice. Such knowledge is required to effectively support healthcare professionals to optimally put evidence-based smoking cessation interventions to (inter)national practice. Objective To identify active ingredients (including behavior change techniques), mechanisms of action and implementation fidelity reported in smoking cessation interventions in Dutch primary care settings and to relate these to intervention effectiveness. Methods A systematic review was conducted by searching nine national intervention or funding databases, five international scientific databases and consulting 17 national smoking cessation experts. Out of 1066 identified manuscripts, 40 interventions were eligible for this review. Based on published protocols, information regarding behavior change techniques and mechanisms of action was systematically abstracted. Additionally, information regarding study characteristics and other active ingredients, effects on smoking behavior and implementation fidelity was abstracted. Comparative effectiveness concerning abstracted intervention characteristics was qualitatively explored. Results Active ingredients, mechanisms of action and implementation fidelity were moderately to poorly reported. Interventions applying behavior change techniques and interventions with a single behavioral target (i.e. smoking-only versus multiple behaviors) seemed to provide stronger evidence for successfully changing smoking behavior. Conclusion Attention to and reporting on interventions’ active ingredients (e.g. behavior change techniques), mechanisms of action and implementation fidelity are prerequisites for developing more effective evidence-based smoking cessation interventions to be successfully implemented in primary healthcare. Implications This systematic review provides an overview of smoking cessation interventions in Dutch primary care settings, identified since the year 2000. Smoking cessation support is offered in various forms, but our qualitative findings show that interventions including more behavior change techniques and interventions targeting only smoking cessation (compared to multiple behaviors) might be more effective. Results also show that—based on available intervention reports—it is difficult to distinguish patterns of active ingredients (such as behavior change techniques), mechanisms of action and fidelity of implementation in relation to interventions’ effectiveness. This means (quality of) reporting on these intervention characteristics should improve.
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Piironen, Siiri. "Producing liminal spaces for change interventions: the case of LEGO serious play workshops". Journal of Organizational Change Management 35, n. 8 (17 maggio 2022): 39–53. http://dx.doi.org/10.1108/jocm-03-2021-0073.

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Abstract (sommario):
PurposeThe purpose of this paper is to advance spatial studies of change interventions by conceptualizing them as liminal spaces and examining how these spaces are conceived, perceived and lived during the intervention process.Design/methodology/approachThe paper explores change interventions as liminal spaces in the empirical context of LEGO serious play workshops through participant observations and interviews.FindingsThe study shows that in change interventions an abstract, conceived liminal space is created, maintained and closed down to enable the planned change to take place. While practicing the space, the change participants may indeed perceive this space as liminal, but the space is less manageable because of their both prescribed and unprescribed interpretations. Furthermore, as subjectively experienced, the space may hold a spectrum of liminal, liminoid and everyday (business as usual) notions.Research limitations/implicationsThe study contributes to the research on (1) the spatiality of change interventions and (2) artificially created liminal spaces of organizing.Practical implicationsThe paper reminds consultants and organizations embarking on change interventions to pay attention to the spatiality of such interventions. The study shows that it is not enough to plan how these spaces are to be used, but also it is equally important to consider how the participants use and experience them.Originality/valueThe study provides a novel insight into change interventions by examining them as liminal spaces that are simultaneously conceived, perceived and lived during the intervention process.
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Onken, Lisa S. "Cognitive Training". Clinical Psychological Science 3, n. 1 (gennaio 2015): 39–44. http://dx.doi.org/10.1177/2167702614561512.

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The articles in this series relate to research on the modification of cognitive processes thought to be causally related to behavioral or emotional problems. The examination of the effects of targeted cognitive interventions on specific cognitive processes and of the relationship of the modification of these processes to clinical outcome provides insight into mechanisms of behavior change. In contrast to intervention development research involving clinical trials that focus on efficacy testing without examining an intervention’s mechanism of action, the intervention development research presented here is grounded in the examination of mechanism and can inform behavior change science regardless of whether or not an intervention exerts the hypothesized effect on clinical outcome. The potential for the utility of cognitive training interventions as clinical tools is discussed. Also highlighted is the potential for a mechanism-focused approach to serve as one model for progressive integrated basic science and clinical intervention development research.
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Leith, Martin. "Organizational change and large group interventions". Career Development International 1, n. 4 (luglio 1996): 19–23. http://dx.doi.org/10.1108/13620439610124675.

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Pettigrew, Thomas F. "Toward sustainable psychological interventions for change." Peace and Conflict: Journal of Peace Psychology 17, n. 2 (aprile 2011): 179–92. http://dx.doi.org/10.1080/10781919.2010.536758.

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42

Wilkes, M. S. "Educational interventions can change clinical behavior". Western Journal of Medicine 172, n. 3 (1 marzo 2000): 163. http://dx.doi.org/10.1136/ewjm.172.3.163.

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Robbins, Anthony. "Health consequences of climate change interventions". Lancet 386, n. 10006 (novembre 2015): 1819. http://dx.doi.org/10.1016/s0140-6736(15)00549-8.

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Allen, Candia. "Supporting effective lifestyle behaviour change interventions". Nursing Standard 28, n. 24 (12 febbraio 2014): 51–58. http://dx.doi.org/10.7748/ns2014.02.28.24.51.e8049.

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de Vries, Jennifer Anne, e Marieke van den Brink. "Transformative gender interventions". Equality, Diversity and Inclusion: An International Journal 35, n. 7/8 (19 settembre 2016): 429–48. http://dx.doi.org/10.1108/edi-05-2016-0041.

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Abstract (sommario):
Purpose Translating the well-established theory of the gendered organization into strategic interventions that build more gender equitable organizations has proven to be difficult. The authors introduce the emergence of the “bifocal approach” and its subsequent development and examine the potential of the “bifocal approach” as a feminist intervention strategy and an alternative means of countering gender inequalities in organizations. While pre-existing transformative interventions focus on more immediately apparent structural change, the focus begins with the development of individuals. The paper aims to discuss these issues. Design/methodology/approach Developed through iterative cycling between theory and practice, the “bifocal approach” links the existing focus on women’s development with a focus on transformative organizational change. The bifocal approach deliberately begins with the organization’s current way of understanding gender in order to build towards frame-breaking transformative change. Findings The authors show how the bifocal is able to overcome some of the main difficulties of earlier transformative approaches, maintaining organizational access, partnership building, sustaining a gender focus and ultimately sustaining the change effort itself. The bifocal approach seeks structural change, however, the change effort rests with individuals. The development of individuals, as conceived within the bifocal approach was designed to create a “small wins” ripple effect, linking individual (agency) and organizational change (structure). Practical implications The bifocal approach offers a comprehensive re-modelling of traditional interventions for other scholars and practitioners to build on. Organizational interventions previously categorized as “fixing women” could be re-examined for their capacity to provide the foundation for transformative change. Originality/value The contribution of this paper lies in proposing and examining the bifocal approach as a feminist intervention strategy that overcomes the dualism between the existing frames of organizations and the transformative frame of scholars, in order to move practice and theory forward.
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Oehler, Caroline, Katharina Scholze, Hanna Reich, Christian Sander e Ulrich Hegerl. "Intervention Use and Symptom Change With Unguided Internet-Based Cognitive Behavioral Therapy for Depression During the COVID-19 Pandemic: Log Data Analysis of a Convenience Sample". JMIR Mental Health 8, n. 7 (16 luglio 2021): e28321. http://dx.doi.org/10.2196/28321.

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Background Internet- and mobile-based interventions are most efficacious in the treatment of depression when they involve some form of guidance, but providing guidance requires resources such as trained personnel, who might not always be available (eg, during lockdowns to contain the COVID-19 pandemic). Objective The current analysis focuses on changes in symptoms of depression in a guided sample of patients with depression who registered for an internet-based intervention, the iFightDepression tool, as well as the extent of intervention use, compared to an unguided sample. The objective is to further understand the effects of guidance and adherence on the intervention’s potential to induce symptom change. Methods Log data from two convenience samples in German routine care were used to assess symptom change after 6-9 weeks of intervention as well as minimal dose (finishing at least two workshops). A linear regression model with changes in Patient Health Questionnaire (PHQ-9) score as a dependent variable and guidance and minimal dose as well as their interaction as independent variables was specified. Results Data from 1423 people with symptoms of depression (n=940 unguided, 66.1%) were included in the current analysis. In the linear regression model predicting symptom change, a significant interaction of guidance and minimal dose revealed a specifically greater improvement for patients who received guidance and also worked with the intervention content (β=–1.75, t=–2.37, P=.02), while there was little difference in symptom change due to guidance in the group that did not use the intervention. In this model, the main effect of guidance was only marginally significant (β=–.53, t=–1.78, P=.08). Conclusions Guidance in internet-based interventions for depression is not only an important factor to facilitate adherence, but also seems to further improve results for patients adhering to the intervention compared to those who do the same but without guidance.
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Hedin, Björn, Cecilia Katzeff, Elina Eriksson e Daniel Pargman. "A Systematic Review of Digital Behaviour Change Interventions for More Sustainable Food Consumption". Sustainability 11, n. 9 (8 maggio 2019): 2638. http://dx.doi.org/10.3390/su11092638.

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Food production and consumption present major sustainability challenges, and finding ways to reduce the environmental impact of food, for example through behavioural changes by consumers, is becoming increasingly important. In recent years, digital interventions have become important tools to change behaviours in many areas. In this review, we evaluate the status of current scientific knowledge of digital behaviour change interventions for sustainable food consumption practices. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist for how to conduct systematic reviews, we searched multiple databases for papers containing terms related to food, sustainability and digital behaviour change interventions. Only studies where the digital interventions were actually implemented and evaluated from a behaviour change perspective were included, resulting in 15 primary studies in the final review. The quality of the studies was evaluated from a behaviour change perspective, and the approaches used were categorised using two intervention frameworks, the Behaviour Change Wheel and the Behaviour Change Technique Taxonomy v1. The results show that all of the included studies had major quality issues when evaluated from a behaviour change perspective. This means that we could not find any evidence regarding whether the digital behaviour change interventions examined worked or not. Most studies further lacked theoretical grounding or a clear approach to how or why they should be effective for behaviour change for more sustainable food consumption practices. Our main recommendation for future research in the field is to expand from the current exploratory phase to conducting scientifically rigorous studies of higher quality, more thoroughly grounded in behaviour change theory and methods. Furthermore, based on our study, we suggest changes to the Behaviour Change Technique Taxonomy v1.
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48

Bohlen, Lauren Connell, Susan Michie, Marijn de Bruin, Alexander J. Rothman, Michael P. Kelly, Hilary N. K. Groarke, Rachel N. Carey, Joanna Hale e Marie Johnston. "Do Combinations of Behavior Change Techniques That Occur Frequently in Interventions Reflect Underlying Theory?" Annals of Behavioral Medicine 54, n. 11 (22 settembre 2020): 827–42. http://dx.doi.org/10.1093/abm/kaaa078.

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Abstract (sommario):
Abstract Background Behavioral interventions typically include multiple behavior change techniques (BCTs). The theory informing the selection of BCTs for an intervention may be stated explicitly or remain unreported, thus impeding the identification of links between theory and behavior change outcomes. Purpose This study aimed to identify groups of BCTs commonly occurring together in behavior change interventions and examine whether behavior change theories underlying these groups could be identified. Methods The study involved three phases: (a) a factor analysis to identify groups of co-occurring BCTs from 277 behavior change intervention reports; (b) examining expert consensus (n = 25) about links between BCT groups and behavioral theories; (c) a comparison of the expert-linked theories with theories explicitly mentioned by authors of the 277 intervention reports. Results Five groups of co-occurring BCTs (range: 3–13 BCTs per group) were identified through factor analysis. Experts agreed on five links (≥80% of experts), comprising three BCT groups and five behavior change theories. Four of the five BCT group–theory links agreed by experts were also stated by study authors in intervention reports using similar groups of BCTs. Conclusions It is possible to identify groups of BCTs frequently used together in interventions. Experts made shared inferences about behavior change theory underlying these BCT groups, suggesting that it may be possible to propose a theoretical basis for interventions where authors do not explicitly put forward a theory. These results advance our understanding of theory use in multicomponent interventions and build the evidence base for further understanding theory-based intervention development and evaluation.
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49

Ager, Alastair. "Minimal Intervention: A Strategy for Generalized Behaviour Change with Mentally Handicapped Individuals". Behavioural Psychotherapy 15, n. 1 (gennaio 1987): 16–30. http://dx.doi.org/10.1017/s0141347300010600.

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Abstract (sommario):
Correctly construed, the concept of intervention requires that active consideration be given to the mechanisms by which any behaviour change produced by an intervention procedure may subsequently be generalized—across settings, across behaviours and, particularly, across time. Broad strategies that have been adopted with the aim of fostering generalization are reviewed. These may be seen to define a continuum along which scope for engineering behaviour change is “traded” with the probability of the contingencies required to maintain this change being assimilated within the “post-intervention” environment. Viewing strategies in this manner prompts consideration of interventions representing the extreme of this continuum, where scope for engineering change is minimal, but the probability of maintaining any change produced is very high. The implications of adopting such “minimal interventions” are examined, and these strategies shown to have some empirical support. A broad structure for implementing “minimal interventions” is proposed.
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50

Roberts, Hannah, Rosemary McEachan, Tamsin Margary, Mark Conner e Ian Kellar. "Identifying Effective Behavior Change Techniques in Built Environment Interventions to Increase Use of Green Space: A Systematic Review". Environment and Behavior 50, n. 1 (19 dicembre 2016): 28–55. http://dx.doi.org/10.1177/0013916516681391.

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Abstract (sommario):
Green space has beneficial impacts on health, and there is increasing interest in how to modify green space to promote use. We identified effective behavior change techniques in environmental interventions that aimed to encourage use of green space. Fifteen studies met the inclusion criteria. Interventions were coded by reviewers using the Behavior Change Technique taxonomy (BCTTv1). Eleven studies reported an increase in green space use post-intervention. Techniques involving physical environment changes (“adding objects to the environment” or “restructuring the physical environment”) were commonly delivered alongside additional techniques such as “restructuring the social environment,” introducing “prompts or cues” and “demonstration of the behavior.” Risk of bias was high or unclear for all, and the quality of evidence was very low. Intervention content was poorly described according to current reporting guidelines. More rigorous evaluations of green space interventions are needed, coupled with full descriptions of intervention content, to allow replication.
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