Relevant bibliographies by topics / Behavior change interventions

Academic literature on the topic 'Behavior change interventions'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Behavior change interventions"

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Elwyn, Glyn, Katy Marrin, Dominick L. Frosch, and 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, no. 2 (April 8, 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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Bartholomew, John B. "Environments Change Child Behavior, But Who Changes Environments?" Kinesiology Review 4, no. 1 (February 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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JaKa, Meghan M., Simone A. French, Julian Wolfson, Robert W. Jeffery, Fabianna Lorencatto, Susan Michie, Rona L. Levy, Shelby L. Langer, and 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, no. 2 (September 14, 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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Kolodko, Julia, Kelly Ann Schmidtke, Daniel Read, and Ivo Vlaev. "#LetsUnlitterUK: A demonstration and evaluation of the Behavior Change Wheel methodology." PLOS ONE 16, no. 11 (November 16, 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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Burgermaster, Marissa, Isobel Contento, Pamela Koch, and Lena Mamykina. "Behavior change is not one size fits all: psychosocial phenotypes of childhood obesity prevention intervention participants." Translational Behavioral Medicine 8, no. 5 (January 17, 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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Bluethmann, Shirley M., L. Kay Bartholomew, Caitlin C. Murphy, and Sally W. Vernon. "Use of Theory in Behavior Change Interventions." Health Education & Behavior 44, no. 2 (July 10, 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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de Ruijter, Dennis, Enrique Mergelsberg, Matty Crone, Eline Smit, and 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, no. 5 (November 12, 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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Direito, Artur, Deirdre Walsh, Moohamad Hinbarji, Rami Albatal, Mark Tooley, Robyn Whittaker, and Ralph Maddison. "Using the Intervention Mapping and Behavioral Intervention Technology Frameworks: Development of an mHealth Intervention for Physical Activity and Sedentary Behavior Change." Health Education & Behavior 45, no. 3 (December 7, 2017): 331–48. http://dx.doi.org/10.1177/1090198117742438.

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Few interventions to promote physical activity (PA) adapt dynamically to changes in individuals’ behavior. Interventions targeting determinants of behavior are linked with increased effectiveness and should reflect changes in behavior over time. This article describes the application of two frameworks to assist the development of an adaptive evidence-based smartphone-delivered intervention aimed at influencing PA and sedentary behaviors (SB). Intervention mapping was used to identify the determinants influencing uptake of PA and optimal behavior change techniques (BCTs). Behavioral intervention technology was used to translate and operationalize the BCTs and its modes of delivery. The intervention was based on the integrated behavior change model, focused on nine determinants, consisted of 33 BCTs, and included three main components: (1) automated capture of daily PA and SB via an existing smartphone application, (2) classification of the individual into an activity profile according to their PA and SB, and (3) behavior change content delivery in a dynamic fashion via a proof-of-concept application. This article illustrates how two complementary frameworks can be used to guide the development of a mobile health behavior change program. This approach can guide the development of future mHealth programs.
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Thomas Craig, Kelly J., Laura C. Morgan, Ching-Hua Chen, Susan Michie, Nicole Fusco, Jane L. Snowdon, Elisabeth Scheufele, Thomas Gagliardi, and Stewart Sill. "Systematic review of context-aware digital behavior change interventions to improve health." Translational Behavioral Medicine 11, no. 5 (October 21, 2020): 1037–48. http://dx.doi.org/10.1093/tbm/ibaa099.

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Abstract Health risk behaviors are leading contributors to morbidity, premature mortality associated with chronic diseases, and escalating health costs. However, traditional interventions to change health behaviors often have modest effects, and limited applicability and scale. To better support health improvement goals across the care continuum, new approaches incorporating various smart technologies are being utilized to create more individualized digital behavior change interventions (DBCIs). The purpose of this study is to identify context-aware DBCIs that provide individualized interventions to improve health. A systematic review of published literature (2013–2020) was conducted from multiple databases and manual searches. All included DBCIs were context-aware, automated digital health technologies, whereby user input, activity, or location influenced the intervention. Included studies addressed explicit health behaviors and reported data of behavior change outcomes. Data extracted from studies included study design, type of intervention, including its functions and technologies used, behavior change techniques, and target health behavior and outcomes data. Thirty-three articles were included, comprising mobile health (mHealth) applications, Internet of Things wearables/sensors, and internet-based web applications. The most frequently adopted behavior change techniques were in the groupings of feedback and monitoring, shaping knowledge, associations, and goals and planning. Technologies used to apply these in a context-aware, automated fashion included analytic and artificial intelligence (e.g., machine learning and symbolic reasoning) methods requiring various degrees of access to data. Studies demonstrated improvements in physical activity, dietary behaviors, medication adherence, and sun protection practices. Context-aware DBCIs effectively supported behavior change to improve users’ health behaviors.
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Müssener, Ulrika. "Digital encounters: Human interactions in mHealth behavior change interventions." DIGITAL HEALTH 7 (January 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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Dissertations / Theses on the topic "Behavior change interventions"

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Taylor, C. A. "Investigating fidelity of health behaviour change interventions in general practice." Thesis, Coventry University, 2012. http://curve.coventry.ac.uk/open/items/961d5cd9-b24d-4b0b-8be5-2010a539b7ab/1.

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The aims of this thesis are to investigate the factors influencing treatment fidelity of health behaviour change (HBC) interventions. The thesis will focus on HBC interventions delivered by practice nurses (PNs) and health care assistants (HCAs) to patients within general practice, although the findings will be explored within the context of the wider treatment fidelity literature. The thesis comprises five studies, focussed on exploring, enhancing and assessing fidelity of delivery and receipt of HBC interventions. Through developing an enhanced understanding of these areas of treatment fidelity, the thesis will also make recommendations for strategies to enhance and assess fidelity of delivery and receipt of future HBC interventions. Study one is a meta-synthesis of qualitative studies that explored the views and experiences of nurses who had delivered HBC interventions with a focus on how this can inform future delivery of HBC interventions. Study two is an Interpretative Phenomenological Analysis of PNs’/HCAs’ experiences of helping patients to change their health behaviours within the context of their routine care, and before and after delivery of an intervention to facilitate increased walking. Study three reports a quantitative assessment of delivery of intervention techniques to facilitate increased walking, as specified in an intervention protocol, by PNs/HCAs. Study four explores PNs’/HCAs’ views and experiences of the factors that influenced their delivery of the walking intervention. Study five investigates treatment receipt, by exploring patients’ understanding of, and experiences of receiving the walking intervention. The key findings from this research are that delivery and receipt of HBC interventions within general practice are influenced by a range of factors that include the providers’ confidence and skills, the patients’ expectations and/or engagement with the intervention and the general practice within which the intervention is delivered. A number of these factors are difficult to influence and so research teams need to develop a range of strategies to enhance delivery and receipt of HBC interventions. These may include appropriate preparation for providers to deliver the intervention, the provision of a simple intervention resource to support delivery of the intervention and the development of strategies to enhance patients’ understanding of intervention techniques.
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Wang, Yunlong [Verfasser]. "Designing Digital Health Interventions for Sedentary Behavior Change / Yunlong Wang." Konstanz : KOPS Universität Konstanz, 2019. http://d-nb.info/1198680180/34.

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Krebs, Paul Michael. "Computerized, tailored, theory-based interventions for health behavior change : a comprehensive meta-analysis /." View online ; access limited to URI, 2007. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3276990.

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Smith, Rhonda Lea. "Examining A Brief Behavior Progress Monitoring Tool's Sensitivity to Change." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/612826.

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Current research suggests schools face many barriers in effectively monitoring student's response to behavioral interventions in the classroom. The purpose of this study was to evaluate the FastBridge - Direct Behavior Rating (FastBridge-DBR), a brief, novel progress monitoring measure, designed to assess student behavioral change in response to a classroom behavioral intervention. Twenty-four elementary teacher-student dyads implemented a daily progress report intervention to promote positive student behavior during pre-specified classroom activities. FastBridge-DBR data were then collected for three target behaviors (i.e., Academic Engagement, Disruptive Behavior, Withdrawal) and compared to Systematic Direct Observation (SDO) data. Five change metrics (i.e., absolute change, percent of change from baseline, improvement rate difference, Tau-U, effect size; Gresham, 2005) were used to examine sensitivity to change. The Usage Rating Profile - Assessment (URP-A) was used to evaluate teacher acceptability of FastBridge-DBR. FastBridge-DBR scores were highly correlated with SDO data, demonstrating evidence of concurrent validity. FastBridge-DBR change metrics were significantly correlated with SDO change metrics. Additionally, while teachers provided high acceptability ratings for FastBridge-DBR, there was a lack of association between teachers' ratings of acceptability and student behavioral change. Implications for practice, study limitations, and areas of future research are discussed.
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Smit, Kyara. "Food waste reduction interventions - Behavior or Practice?" Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392542.

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The enormous amount of household food waste in developed countries is a global environmental and climate threat. To reduce household food waste, various behavior change campaigns and interventions are conducted. Most conventional behavior change interventions designed to reduce household food waste are based on the Theory of Planned Behavior (TPB) and are information heavy. These have shown, however, to not be effective enough to result in a fast and sizable enough decrease of household food waste in developed countries, thus reducing climate and environmental impact in a timely and sizeable enough way. The more systemic, holistic and practically oriented Social Practice Theory (SPT) theoretical framework is proposed by different authors as an alternative to the conventionally used TPB theoretical framework to design (behavior) change interventions. SPT is thought to lead to greater and faster reduction of food waste at the household level and to a general change in the food supply system. Nevertheless, interventions are oftennot created according to their proposed theoretical framework and no “direct” comparison between both theoreticalframeworks at the intervention level has been conducted. This thesis compares two case studies describing food waste reduction interventions, one with a TPB theoretical framework and the other with a SPT theoretical framework. The results show that when considering food waste reduction interventions at the household levels in developed countries the SPT might be a more effective theoretical framework for an intervention design compared to a TPB theoretical framework. Specifically, the SPT theoretical framework includes more relevant system stakeholders in the intervention creation leading to a more context specific design. Additionally, the emphasis of actual “doing” in an intervention based on an SPT theoretical framework createsa potential for more long-term change, compared to a TPB theoretical framework. However, this thesis also suggests that merging of the two theories should be further research and discussed, because of the potential greater effectiveness in actual food waste reduction.
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Lhakhang, Pempa [Verfasser]. "Health Behavior Change: Effects of Motivation, Self-Regulation, and Incentive-Based Interventions / Pempa Lhakhang." Berlin : Freie Universität Berlin, 2016. http://d-nb.info/1084634643/34.

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Karppinen, P. (Pasi). "Studying user experience of health behavior change support systems:a qualitative approach to individuals’ perceptions of web-based interventions." Doctoral thesis, Oulun yliopisto, 2016. http://urn.fi/urn:isbn:9789526214450.

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Abstract Behavior change support systems (BCSSs) help people to achieve personal goals that they cannot necessarily achieve on their own. Typical BCSSs include health-related systems and applications. Significant policy and research attention has been aimed at information technologies that enable behavior change in regard to individuals’ health and wellbeing activities. The aim of this dissertation is to build a comprehensive view of health BCSSs, ranging from technology adoption to engagement, persuasion, and habit formation. As its main research question, the present thesis asks: What can user experiences of health BCSS reveal about behavior change? In addition, it proposes a framework for different approaches, which can help developers solve ethical issues in their BCSS design. This dissertation comprises four qualitative studies and one conceptual study. Hermeneutics has been the most influential research method in conducting these studies. Ontologically, hermeneutics leans toward socially constructed reality. The primary conceptual lenses for interpreting the data are the BCSS framework and Persuasive Systems Design model. This thesis extends prior research on eHealth, including non-adoption, flow esperience, use adherence, habit formation, and ethics. The results emphasize that persuasive systems design can affect user experience in different stages of system adoption and learning a new, healthier lifestyle. The presented work addresses health behavior change as a complex issue. Many individuals regard system usefulness in terms of perceived value for themselves rather than in terms of the system’s instrumental value. People are less likely to use the systems if they do not fit into their daily routines. Flow experience appears not to play as fundamental part in the BCSS use experience as is expected. The results suggest that self-monitoring, reminders and tunneling can help users to achieve better outcomes. These persuasive features can help increasing subject’s compliance and commitment, which in turn can help individuals to achieve better habits. Additionally this thesis presents a framework where different ethical approaches are divided to three distinct categories
Tiivistelmä Käyttäytymismuutosta tukevat tietojärjestelmät auttavat ihmisiä saavuttamaan henkilökohtaiset tavoitteensa, joita he eivät välttämättä yksin saavuttaisi. Tyypillisesti tällaiset järjestelmät ja applikaatiot liittyvät terveyteen. Sekä tutkimuksessa että julkishallinnossa on kiinnitetty huomiota, kuinka yksilöiden terveyttä ja hyvinvointia voidaan edistää informaatioteknologian avulla. Tämän väitöskirjan tarkoituksena on rakentaa kokonaisvaltainen näkemys terveyttä edistävistä käyttäytymismuutosta tukevista tietojärjestelmistä lähtien järjestelmän käytöstä ja osallistavuudesta, suostuttelevuuteen ja tapojen muodostumiseen. Väitöskirjan keskeisin tutkimuskysymys on: mitä käyttäjien kokemukset terveyttä edistävistä käyttäytymismuutosta tukevista tietojärjestelmistä paljastavat mitattavasta käyttäytymismuutoksesta? Lisäksi tämä väitöskirja tarjoaa viitekehyksen, joka voi auttaa suunnittelijoita ratkaisemaan eettisiä ongelmakohtia, kun he suunnittelevat käyttäytymismuutosta tukevia tietojärjestelmiä. Väitöskirja pitää sisällään neljä kvalitatiivista osajulkaisua ja yhden konseptuaalisen osajulkaisun. Hermeneutiikka on osajulkaisujen kannalta keskeisin tutkimusmenetelmä. Ontologisesti hermeneutiikka nojaa sosiaalisesti konstruoituun todellisuuteen. Aineiston tulkitsemisen kannalta keskeisimmät konseptuaaliset viitekehykset ovat olleet BCSS framework ja Persuasive Systems Design model. Väitöskirja laajentaa aiempaa tutkimuksellista näkökulmaa eHealth-teemasta pitäen sisällään näkökulmat järjestelmän hylkäämisestä, flow-kokemuksesta, järjestelmän käyttöön sitoutumisesta, elintapojen muodostumisesta ja eettisyydestä. Väitöskirjan tulokset korostavat, että suostuttelevien järjestelmien suunnittelumenetelmät voivat vaikuttaa käyttäjäkokemukseen eri vaiheissa järjestelmän käyttöönotosta uuden terveellisemmän elintavan omaksumiseen. Väitöskirjassa esitellyt osajulkaisut osoittavat, että terveyttä edistävä käyttäytymismuutos on monimutkainen kokonaisuus. Moni haastatelluista koki järjestelmän hyödyllisyyden liittyvän enemmän itsensä kehittämiseen kuin välineelliseen hyötyyyn. Ihmiset olivat vastentahtoisia käyttämään järjestelmää, jos se ei sopinut heidän arkielämäänsä. Väitöskirjan tulokset antavat ymmärtää, että itsemonitorointi, muistutukset ja tunnelointi auttavat käyttäytymismuutosta tukevien tietojärjestelmien käyttäjiä saavuttamaan parempia lopputuloksia. Nämä suostuttelevat elementit voivat helpottaa käyttäjiä noudattamaan ohjeita ja sitoutumaan muutosprosessiin kohti terveellisempiä elämäntapoja. Väitöskirja tarjoaa lisäksi viitekehyksen, jossa erilaiset eettiset lähestymistavat on jaotelty kolmeen eriteltävään kategoriaan
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Kelly, Scout M. "Plan Quality and the Enhancement of Implementation Intention Interventions for Physical Activity." Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent149252886156333.

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Arango, Lisa Lewis. "The utility of an integrated qualitative/quantitative data analytic strategy (IQ-DAS) to evaluate the impact of youth development interventions on positive qualitative change in the life course." FIU Digital Commons, 2003. http://digitalcommons.fiu.edu/etd/1294.

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This study reports one of the first controlled studies to examine the impact of a school based positive youth development program (Lerner, Fisher, & Weinberg, 2000) on promoting qualitative change in life course experiences as a positive intervention outcome. The study built on a recently proposed relational developmental methodological metanarrative (Overton, 1998) and advances in use of qualitative research methods (Denzin & Lincoln, 2000). The study investigated the use the Life Course Interview (Clausen, 1998) and an integrated qualitative and quantitative data analytic strategy (IQDAS) to provide empirical documentation of the impact the Changing Lives Program on qualitative change in positive identity in a multicultural population of troubled youth in an alternative public high school. The psychosocial life course intervention approach used in this study draws its developmental framework from both psychosocial developmental theory (Erikson, 1968) and life course theory (Elder, 1998) and its intervention strategies from the transformative pedagogy of Freire's (1983/1970). Using the 22 participants in the Intervention Condition and the 10 participants in the Control Condition, RMANOVAs found significantly more positive qualitative change in personal identity for program participants relative to the non-intervention control condition. In addition, the 2X2X2X3 mixed design RMANOVA in which Time (pre, post) was the repeated factor and Condition (Intervention versus Control), Gender, and Ethnicity the between group factors, also found significant interactions for the Time by Gender and Time by Ethnicity. Moreover, the directionality of the basic pattern of change was positive for participants of both genders and all three ethnic groups. The pattern of the moderation effects also indicated a marked tendency for participants in the intervention group to characterize their sense of self as more secure and less negative at the end of the their first semester in the intervention, that was stable across both genders and all three ethnicities. The basic differential pattern of an increase in the intervention condition of a positive characterization of sense of self relative to both pre test and relative to the directionality of the movement of the non-intervention controls, was stable across both genders and all three ethnic groups.
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Moreland, Jessica A. "Design for Sustainability Transitions: An Intervention Research Study for Zero Waste Residence Halls." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1408725627.

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Books on the topic "Behavior change interventions"

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A, Smith William. Applied behavior change: A framework for behavior change interventions and research. Arlington, VA (1730 N. Lynn Street, Arlington 22209-2023): Development Associates, 1992.

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L, Cole Christine, ed. Behavior change in the classroom: Self-management interventions. New York: Guilford Press, 1994.

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Kozara, Kasey Maia. Reproductive health & behavior change communications: Situational analysis/existing interventions in Bangladesh. Dhaka: James P. Grant School of Public Health, BRAC University, 2008.

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Behaviour change interventions & communication strategy for the health sector, 2006-2009. [Gaborone: Ministry of Health, 2006.

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Higgins, Stephen T., and Kenneth Silverman, eds. Motivating behavior change among illicit-drug abusers: Research on contingency management interventions. Washington: American Psychological Association, 1999. http://dx.doi.org/10.1037/10321-000.

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Cutter, Lesley A. Determining behavior change interventions utilizing a mix of epidemiological, individual and population perspectives. [Toronto: University of Toronto, Faculty of Dentistry], 1998.

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Paula, Nurius, and Cormier L. Sherilyn 1946-, eds. Interviewing and change strategies for helpers: Fundamental skills and cognitive behavioral interventions. 5th ed. Pacific Grove, CA: Thomson/Brooks/Cole, 2003.

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Cormier, L. Sherilyn. Interviewing and change strategies for helpers: Fundamental skills and cognitive behavioral interventions. 6th ed. Australia: Brooks/Cole, Cengage Learning, 2009.

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McCoy, Sandra. Behavior change interventions to prevent HIV among women living in low and middle income countries. New Delhi: International Initiative for Impact Evaluation, 2009.

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Thomas, Gustavsson, and Robinson, Patricia A. Ph. D., eds. Brief interventions for radical behavior change: Principles and practice of focused acceptance and commitment therapy. Oakland, CA: New Harbinger Publications, 2012.

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Book chapters on the topic "Behavior change interventions"

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Heller, Lois Jane, Celette Sugg Skinner, A. Janet Tomiyama, Elissa S. Epel, Peter A. Hall, Julia Allan, Lara LaCaille, et al. "Tailored Health Behavior Change Interventions." In Encyclopedia of Behavioral Medicine, 1959. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_101762.

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Robinson, Patricia J. "Behavior Change in Primary Care: Interventions." In SpringerBriefs in Psychology, 93–128. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32050-8_5.

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Lehto, Tuomas. "Designing Persuasive Health Behavior Change Interventions." In Critical Issues for the Development of Sustainable E-health Solutions, 163–81. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-1536-7_11.

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Farhat-ul-Ain, Olga Popovitš, and Vladimir Tomberg. "Mapping Behavior Change Wheel Techniques to Digital Behavior Change Interventions: Review." In Human-Computer Interaction. User Experience and Behavior, 277–95. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05412-9_20.

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Koerber, Anne. "Brief Interventions in Promoting Health Behavior Change." In Health Behavior Change in the Dental Practice, 93–112. Ames, Iowa USA: Blackwell Publishing, Inc., 2014. http://dx.doi.org/10.1002/9781118786802.ch5.

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Michie, Susan, Marta M. Marques, Emma Norris, and Marie Johnston. "Theories and Interventions in Health Behavior Change." In Handbook of Health Psychology, 69–88. New York, NY : Routledge, 2019.: Routledge, 2018. http://dx.doi.org/10.4324/9781315167534-6.

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John Shannon, Robert. "Motivational Interviewing: Enhancing Patient Motivation for Behavior Change." In International Handbook of Occupational Therapy Interventions, 885–94. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08141-0_66.

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Shannon, Robert J. "Motivational Interviewing: Enhancing Patient Motivation for Behavior Change." In International Handbook of Occupational Therapy Interventions, 515–23. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-75424-6_57.

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Rogers, Anissa Taun. "Lenses for Conceptualizing Problems and Interventions: Social Change Dimensions." In Human Behavior in the Social Environment, 147–79. Fifth Edition. | New York : Routledge, 2019. | Series: New directions in social work | Revised edition of the author's Human behavior in the social environment, 2016.: Routledge, 2019. http://dx.doi.org/10.4324/9780429466670-5.

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Rogers, Anissa Taun. "Lenses for Conceptualizing Problems and Interventions: Social Change Dimensions." In Human Behavior in the Social Environment, 147–79. 2nd edition. | New York, NY : Routledge, 2020. | Series: New directions in social work: Routledge, 2020. http://dx.doi.org/10.4324/9781003025382-5.

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Conference papers on the topic "Behavior change interventions"

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Saadi, Jana I., and Maria C. Yang. "Motivating Sustainable Behavior Using Cognitive Interventions in Product Design." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22464.

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Abstract Designing products to encourage sustainable behavior during their use can have significant influence on their total environmental impact. Cognitive interventions can be used to inform users of the importance of sustainable behavior and make users aware of the resources they consume while evoking positive or negative emotions. The first part of this study investigated two methods of cognitive interventions, information (positively and negatively framed) and feedback, and their effectiveness in encouraging users to reduce their napkin consumption in cafés. The number of napkins per transaction illustrated a short-term behavior change for positive information, a longer-term behavior change for negative information, and no change for feedback. In the second phase of this study, a survey was conducted to understand environmental concerns around napkin consumption and emotions and perceived effectiveness of each intervention. Results from 295 valid survey responses showed that the positively framed informative design reminded users to use less napkins in order to save trees and was dominated by positive emotions such as feeling encouraged. The negative information message informed users to use fewer napkins due to the consequences on the environment and was related to negative emotions such as guilt and worry. The feedback intervention’s message was more informative, reminding users that napkins come from trees and the emotions evoked from the intervention closely resembled that of the control. These findings suggest that information and feedback interventions that evoke emotions can be used to promote sustainable behavior.
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Wang, Gubing, Dena Kasraian Moghaddam, Carlijn Valk, Yuan Lu, and Pieter Van Wesemael. "How to co-design with older adults on community-level behavior change interventions: insights from a rapid review." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001875.

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Given the unclear long-term effect and use of interventions for active aging, it is urgent and important to understand the facilitators and barriers via co-design with older adults at the community level. This study aims to lay the theoretical background on developing toolkits for co-designing community-based behavior change interventions with older adults. Rapid reviews were conducted in three disciplines to understand i) the effective behavioral change techniques for older adults, ii) how to co-design with older adults for community-based interventions, and iii) how to design tools for behavior change that are easy-to-use for older adults. The outcomes are a list of effective behavioral change techniques for older adults; guidelines for co-designing with older adults on community-based interventions; and a checklist for developing user-friendly tools for designing behavior change. These elements will serve as the foundation for developing the toolkit on co-designing with older adults for community-based behavior change interventions.
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Camargo, Marcelo Augusto, Chris Fox, Juan Carlos Lopez, Philippe Maso, Rafael Moises Sanchez Caldera, Erick Jose Vega Moya, and Thania Cardozo. "Reducing Accidents Through Implementing Behavior Change via Observations and Interventions." In SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/127170-ms.

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Rotmann, Sea, and Beth Karlin. "Training commercial energy users in behavior change: A case study." In ACEEE Summer Study for Energy Efficiency in Buildings. ACEEE, 2020. http://dx.doi.org/10.47568/3cp104.

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Within the commercial sector, energy managers and building operators have a large impact over their organizations’ energy use. However, they mostly focus on technology solutions and retrofits, rather than human or corporate behaviors, and how to change them. This gap in targeted commercial sector research and behavioral interventions provides a great opportunity which is currently not being addressed. This paper presents a field research pilot where an empirical behavior change research process was applied and taught to commercial energy users in Ontario, Canada. This course served to fill an identified market gap and to improve commercial energy managers’ literacy in behavioral science theory and techniques. A needs assessment identified a clear gap in behavioral training for energy managers, and high interest in the course further proved out the market opportunity for professional training on how to design, implement and evaluate behavior change interventions. Evaluation results identified positive feedback in terms of course reaction, self-reported learning and behavioral outcomes, and tangible results when course participants returned to work to apply their learnings. Evaluation results suggest that such training fills a vital gap in the current Strategic Energy Management (SEM) landscape, and could unlock significant savings in the commercial energy sector.
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Amini, Reza, Christine Lisetti, Ugan Yasavur, and Naphtali Rishe. "On-Demand Virtual Health Counselor for Delivering Behavior-Change Health Interventions." In 2013 IEEE International Conference on Healthcare Informatics (ICHI). IEEE, 2013. http://dx.doi.org/10.1109/ichi.2013.13.

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Soror, Amr, and Fred Davis. "Using Self-Regulation Theory to Inform Technology-Based Behavior Change Interventions." In 2014 47th Hawaii International Conference on System Sciences (HICSS). IEEE, 2014. http://dx.doi.org/10.1109/hicss.2014.373.

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Shin, Jieun. "Modeling and Evaluating Mobile-based Interventions for Food Intake Behavior Change." In SIGMIS-CPR '18: 2018 Computers and People Research Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3209626.3209634.

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Damen, Ida, Roy van den Heuvel, Rens Brankaert, and Steven Vos. "Advancing Digital Behavior Change Interventions by Exploring a Calendar-Based Suggestion System." In ECCE 2021: European Conference on Cognitive Ergonomics 2021. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3452853.3452866.

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Srivastava, Jayesh, and L. H. Shu. "Considering Different Motivations in Design for Consumer-Behavior Change." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47625.

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Much existing work aims to understand how to change human behavior through product-design interventions. Given the diversity of individuals and their motivations, solutions that address different motives are surprisingly rare. We aim to develop and validate a framework that clearly identifies and targets different types of behavioral motives in users. We present a behavior model comprising egoistic, sociocultural and altruistic motives, and apply the model to sustainable behavior. We confirmed the explanatory power of the behavior model by categorizing user comments about an international environmental agreement from multiple news sources. We next developed concepts, each intended to target a single motive type, and elicited evaluations from online respondents who self-assessed their motivation type after evaluating the concepts. We present and discuss correlation results between motive types and preference for products that target these types for two iterations of the experiment. Deviations from our expected results are mainly due to unexpected perceptions, both positive and negative, of our concepts. Despite this, the main value of this work lies in the explicit consideration of a manageable number of different types of motives. A proposed design tool incorporates the three types of motives from the model with the different levels of persuasion others have proposed to change user behavior.
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Cho, Ji Yong, and René F. Kizilcec. "Applying the Behavior Change Technique Taxonomy from Public Health Interventions to Educational Research." In L@S '21: Eighth (2021) ACM Conference on Learning @ Scale. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3430895.3460138.

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Reports on the topic "Behavior change interventions"

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Horn, Samantha, Julian Jamison, Dean Karlan, and Jonathan Zinman. Does Lasting Behavior Change Require Knowledge Change? Evidence From Savings Interventions For Young Adults. Cambridge, MA: National Bureau of Economic Research, October 2020. http://dx.doi.org/10.3386/w28011.

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Keefer, Philip, and Benjamin Roseth. Grand Corruption in the Contracting Out of Public Services: Lessons from a Pilot Study in Colombia. Inter-American Development Bank, June 2021. http://dx.doi.org/10.18235/0003335.

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Do targeted transparency interventions reduce corrupt behavior when corrupt actors are few and politically influential; their behavior imposes small costs on numerous individuals; and corrupt behavior is difficult to observe? Results from a study of informal audits and text messages to parents, meant to curb corruption in the School Meals Program of Colombia, suggests that they can. Theory is pessimistic that transparency interventions can change the behavior of actors who exert significant influence over supervisory authorities. Moreover, inherent methodological obstacles impede the identification of treatment effects. Results substantiate the presence of these obstacles, especially considerable spillovers from treated to control groups. Despite spillovers, we find that parental and operator behavior are significantly different between treatment and control groups. Additional evidence explains why operator behavior changed: out of concern that systematic evidence of corrupt behavior would trigger enforcement actions by high-level enforcement agencies outside of the political jurisdictions where they are most influential.
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Lucas, Brian. Behaviour Change Interventions for Energy Efficiency. Institute of Development Studies, September 2022. http://dx.doi.org/10.19088/k4d.2022.138.

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Behavioural interventions are policies and programmes that incorporate insights from scientists who study human behaviour (such as psychology and behavioural economics), with the aim of encouraging socially desirable behaviours by removing barriers and creating incentives or disincentives (Cornago, 2021). Very few behavioural interventions for energy efficiency have been documented in Eastern Europe and the Western Balkans, and none in North Macedonia. The limited experience that has been documented in the region consists of a few small trials which used behavioural principles to inform households about approaches to energy conservation, but none of these trials have demonstrated a significant effect on behaviour. Behavioural interventions have been widely used elsewhere in the world, particularly in North America, Western Europe, and Australia, and there are many studies evaluating their impacts in these regions (Andor & Fels, 2018, p. 182). This report focuses primarily on household energy efficiency, and particularly on the most widespread and well-documented interventions, which are those related to providing feedback on energy consumption and labelling consumer goods. Although behavioural interventions have been shown to produce significant impacts and to be cost-effective in many situations, the available evidence has some limitations. Many examples that have been documented are small-scale trials or pilot projects; large-scale, institutionalised policy interventions based on behavioural insights are rare (Users TCP and IEA, 2020, p. 22). In many studies, experiments with small sample sizes and short durations show larger impacts than larger and longer-term studies, suggesting that pilot studies may over-estimate the savings that might be achieved by large-scale programmes (Andor & Fels, 2018, p. 182; Erhardt-Martinez et al., 2010, p. iv). The amount of energy saved by behavioural interventions is often fairly small and varies widely from one programme to another, suggesting that the effectiveness of these interventions may be highly dependent on local context and on details of design and implementation. Finally, many studies rely on participants reporting their intentions, and on hypothetical rather than actual purchasing decisions, and some studies have found a divergence between stated intentions and actual behaviour (Grünig et al., 2010, p. 41; Users TCP and IEA, 2020, pp. 75–76; Yang et al., 2015, pp. 21–22).
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Ton, Giel, Keetie Roelen, Neil Howard, and Lopita Huq. Social Protection Intervention: Evaluation Research Design. Institute of Development Studies, September 2022. http://dx.doi.org/10.19088/clarissa.2022.004.

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This paper describes the research design for investigating and evaluating the Child Labour: Action-Research-Innovation in South and South-Eastern Asia (CLARISSA) social protection cash-plus intervention in a slum in Dhaka, Bangladesh. After an introductory section, the second section elaborates on contribution analysis – the methodological approach underpinning the research design. The third section provides an overview of the intervention, and the fourth explores the overall design of the evaluation, its guiding framework, and the timeline of the intervention rollout and data collection. The fifth and sixth sections address the project’s suite of quantitative and qualitative methods, and the approach to data analysis. Using four panel surveys, bi-monthly monitoring, in-depth interviews, group discussions and direct observations, the research will zoom in on specific behaviours. First, at the individual level, we want to learn how people adopt alternative livelihoods in response to the intervention. Second, at the household level, we consider how community mobilisation and cash transfers help households to resolve intra‑household problems. Third, at the group level, we consider how groups manage collective action in response to community mobilisation. For each of these behaviour change outcomes, we want to understand the realist evaluation question, ‘Why does the intervention work, for whom, and under what conditions?’ We also want to assess whether these new behaviours change the propensity for children to be involved in the worst forms of child labour.
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Heijnen, Marieke, and Katie Greenland. Level of behaviour change achievable by handwashing with soap interventions: a rapid review. Evidence on Demand, May 2015. http://dx.doi.org/10.12774/eod_hd.april2015.heijnenmetal.

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Zeinstra, Gertrude, Sandra van der Haar, and Geertje van Bergen. Drivers, barriers and interventions for food waste behaviour change: a food system approach. Wageningen: Wageningen Food & Biobased Research, 2020. http://dx.doi.org/10.18174/511479.

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Naegeli, Hanspeter, Noémie Boillat Blanco, Benedikt Huttner, Mireille Meylan, and Vivianne Visschers. Optimized use of antibiotics and behavior changes. Swiss National Science Foundation SNSF, November 2022. http://dx.doi.org/10.46446/publication_nrp72.2022.4.en.

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The thematic synthesis “Optimized use of antibiotics and behavior changes” summarises the NRP 72 research that developed and tested interventions aimed at reducing and optimising antibiotic usage. It formulates detailed conclusions and recommendations in this area, which have been drafted in collaboration with researchers and numerous stakeholders.
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I. McCoy, Sandra, R. Abigail Kangwende, and Nancy S. Padian. Behaviour change intervention to prevent HIV among women living in low- and middle-income countries. International Initiative for Impact Evaluation (3ie), May 2012. http://dx.doi.org/10.23846/sr1008.

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Masset, Edoardo, Som Shrestha, and Matt Juden. Evaluating complex interventions in international development. Centre of Excellence for Development Impact and Learning (CEDIL), December 2021. http://dx.doi.org/10.51744/cmwp6.

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Complex interventions are those that are characterized by multiple components, multiple stakeholders, or multiple target populations. They may also be interventions that incorporate multiple processes of behavioral change. While such interventions are very common and receive a large proportion of development aid budgets, they are rarely subject to rigorous evaluations. The CEDIL Methods Working Paper, Evaluating Complex Interventions in International Development reviews promising methods for the evaluation of complex interventions that are new or have been used in a limited way. It offers a taxonomy of complex interventions in international development and draws on literature to discuss several methods that can be used to evaluate these interventions. The paper focuses its attention on methods that address causality and allow us to state conclusively whether an intervention works or not. It shows that several rigorous methods developed in different disciplines can be adapted and used to evaluate complex interventions in international development.
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Cavatorta, Elisa, and Orazio Attanasio. Innovations in measurement and the evaluation of human behaviour. Centre for Excellence and Development Impact and Learning (CEDIL), November 2022. http://dx.doi.org/10.51744/cmb9.

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If policymakers or researchers aim to improve an intervention, scale it up, or assess why it works and for whom, then focussing solely on direct outcomes is not enough. There are several ways in which evaluations can go beyond traditional outcome measurement and explore the underlying drivers of impact and the behaviours of beneficiaries and non-beneficiaries. - Measurement goes hand in hand with developing a theory of change, and the two work best when they evolve jointly: new (and better) measurements could allow the consideration of more flexible and realistic theories, while theory informs the construction and design of new measures. - Linking measurement to human behaviour and decision-making processes offers useful angles for identifying the underlying drivers of an intervention’s impacts. - Measurement innovation and improvements—including the construction of new measures—are an important endeavour requiring cross-disciplinary input. This endeavour should be promoted.
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