The Experts below are selected from a list of 96 Experts worldwide ranked by ideXlab platform
Manosila Yoganathan - One of the best experts on this subject based on the ideXlab platform.
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Behavior Change Techniques included in reports of social media interventions for promoting health Behaviors in adults content analysis within a systematic review
Journal of Medical Internet Research, 2020Co-Authors: Rosiane Simeon, Omar Dewidar, Jessica Trawin, Stephanie Duench, Heather Manson, Jordi Pardo Pardo, Jennifer Petkovic, Janet Hatcher Roberts, Peter Tugwell, Manosila YoganathanAbstract:BACKGROUND Social media are an increasingly commonly used platform for delivering health promotion interventions. Although recent research has focused on the effectiveness of social media interventions for health promotion, very little is known about the optimal content within such interventions, and the active ingredients to promote health Behavior Change using social media are not clear. Identifying which Behavior Change Techniques (BCTs) are reported may help to clarify the content of interventions using a generalizable terminology that may facilitate future intervention development. OBJECTIVE This study aimed to identify which BCTs are reported in social media interventions for promoting health Behavior Change in adults. METHODS We included 71 studies conducted with adult participants (aged ≥18 years) and for which social media intervention was considered interactive in a Cochrane review of the effectiveness of such interventions. We developed a coding manual informed by the Behavior Change Technique Taxonomy version 1 (BCTTv1) to identify BCTs in the included studies. We identified BCTs in all study arms (including control) and described BCTs in the group and self-directed components of studies. We characterized the dose of delivery for each BCT by low and high intensity. We used descriptive analyses to characterize the reported BCTs. RESULTS Our data consisted of 71 studies published from 2001 to 2017, mainly conducted in high-income countries (n=65). Most studies (n=31) used tailored, interactive websites to deliver the intervention; Facebook was the most used mainstream platform. In developing our coding manual, we adapted some BCTTv1 instructions to better capture unique nuances of how BCTs were operationalized in social media with respect to likes, retweets, smiles, congratulations, and badges. Social support (unspecified), instruction on how to perform the Behavior, and credible source were most frequently identified BCTs in intervention arms of studies and group-delivery settings, whereas instruction on how to perform the Behavior was most commonly applied in self-directed components of studies, control arms, and individual participant settings. Instruction on how to perform the Behavior was also the most frequently reported BCT in both intervention and control arms simultaneously. Instruction on how to perform the Behavior, social support (unspecified), self-monitoring of Behavior, information about health consequences, and credible source were identified in the top 5 BCTs delivered with the highest intensity. CONCLUSIONS This study within a review provides a detailed description of the BCTs and their dose to promote Behavior Change in web-based, interactive social media interventions. Clarifying active ingredients in social media interventions and the intensity of their delivery may help to develop future interventions that can more clearly build upon the existing evidence.
Justin Presseau - One of the best experts on this subject based on the ideXlab platform.
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self management interventions for skin care in people with a spinal cord injury part 1 a systematic review of intervention content and effectiveness
Spinal Cord, 2018Co-Authors: Justine Baron, Katrina J Sullivan, Jillian M Swaine, Arlene Aspinall, Susan B Jaglal, Justin PresseauAbstract:Systematic review. To review the content and effectiveness of skin care self-management interventions for people with SCI. International. We searched electronic bibliographic databases, trial registers, and relevant reference lists. Eligibility criteria for the reviews of intervention content and effectiveness were identical with the exception of study design. The review of intervention content included non-randomized and randomized controlled trials (RCTs). The review of effectiveness included RCTs. A Behavior Change Technique (BCT) taxonomy of 93 BCTs was used to code intervention content. Intervention effects on outcomes of interest are summarized descriptively. Effect sizes were calculated, and the Cochrane risk of bias tool applied. In all, 15 studies testing 17 interventions were included in the review of intervention content. Interventions in these studies included 28 BCTs. The most common were “instructions on how to perform Behavior” (16 interventions), “credible source” (12 interventions), and “social support (unspecified)” (9 interventions). Ten RCTs were included in the review of intervention effectiveness and they measured knowledge, self-efficacy, and skills relating to skin care/pressure ulcer (PU) prevention, skin care Behaviors, skin status (PU prevalence, severity, and time to PU), and health-care utilization for skin problems. Evidence to support intervention effects on these outcomes was limited, particularly for clinical outcomes. Risk of bias assessments was often inconclusive due to poor reporting. There is potential to design SCI skin care interventions that include currently untested BCTs. Further research and better consistency in outcome measurements and reporting are required to synthesize evidence on effectiveness.
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Self-management interventions for skin care in people with a spinal cord injury: part 1—a systematic review of intervention content and effectiveness
Spinal Cord, 2018Co-Authors: Justine S. Baron, Katrina J Sullivan, Jillian M Swaine, Arlene Aspinall, Susan B Jaglal, Justin Presseau, Barry White, Dalton Wolfe, Jeremy M. GrimshawAbstract:Study design Systematic review. Objectives To review the content and effectiveness of skin care self-management interventions for people with SCI. Setting International. Methods We searched electronic bibliographic databases, trial registers, and relevant reference lists. Eligibility criteria for the reviews of intervention content and effectiveness were identical with the exception of study design. The review of intervention content included non-randomized and randomized controlled trials (RCTs). The review of effectiveness included RCTs. A Behavior Change Technique (BCT) taxonomy of 93 BCTs was used to code intervention content. Intervention effects on outcomes of interest are summarized descriptively. Effect sizes were calculated, and the Cochrane risk of bias tool applied. Results In all, 15 studies testing 17 interventions were included in the review of intervention content. Interventions in these studies included 28 BCTs. The most common were “instructions on how to perform Behavior” (16 interventions), “credible source” (12 interventions), and “social support (unspecified)” (9 interventions). Ten RCTs were included in the review of intervention effectiveness and they measured knowledge, self-efficacy, and skills relating to skin care/pressure ulcer (PU) prevention, skin care Behaviors, skin status (PU prevalence, severity, and time to PU), and health-care utilization for skin problems. Evidence to support intervention effects on these outcomes was limited, particularly for clinical outcomes. Risk of bias assessments was often inconclusive due to poor reporting. Conclusions There is potential to design SCI skin care interventions that include currently untested BCTs. Further research and better consistency in outcome measurements and reporting are required to synthesize evidence on effectiveness.
Susan Michie - One of the best experts on this subject based on the ideXlab platform.
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applying the Behavior Change Technique taxonomy to four multicomponent childhood obesity interventions
Western Journal of Nursing Research, 2020Co-Authors: Meghan M Jaka, Caroline E Wood, Sara Veblenmortenson, Shirley M Moore, Donna M Matheson, June Stevens, Lou Atkins, Susan Michie, Clara Adegbiteadeniyi, Oluwatomisin OlayinkaAbstract:Applying the Behavior Change Technique Taxonomy has the potential to facilitate identification of effective childhood obesity intervention components. This article evaluates the feasibility of coding Childhood Obesity Prevention and Treatment Consortium interventions and compares reliability between external taxonomy-familiar coders and internal intervention-familiar coders. After training, coder pairs independently coded prespecified portions of intervention materials. An adjudication process was used to explore coding discrepancies. Reliability between internal and external coders was moderate (prevalence and bias-adjusted kappa .38 to .55). Reliability for specific target Behaviors varied with substantial agreement for physical activity (.63 to .76) and moderate for dietary intake (.44 to .63). Applying the taxonomy to these interventions was feasible, but agreement was modest. Coding discrepancies highlight the importance of refining coding to capture the complexities of childhood obesity interventions, which often engage multiple recipients (e.g., parents and/or children) and address multiple Behaviors (e.g., diet, physical activity, screen time).
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enhancing Behavior Change Technique coding methods identifying Behavioral targets and delivery styles in smoking cessation trials
Annals of Behavioral Medicine, 2019Co-Authors: Nicola Black, Jess A Williams, Neza Javornik, Claire Scott, Marie Johnston, Maarten C Eisma, Susan MichieAbstract:Background: The Behavior Change Technique (BCT) taxonomy v1 is often used in systematic reviews for identifying active components of interventions. Its utility could be enhanced by linking BCTs to specific target Behaviors and qualifying BCT delivery style. Purpose: To determine whether Behavioral targets and delivery styles of BCTs can be coded reliably and to determine the utility of coding these characteristics. Methods: As part of a large systematic review of 142 smoking cessation trials, two researchers independently coded publicly and privately held intervention and comparator group materials, specifying the Behavioral target (quitting, abstinence, medication adherence, or treatment engagement) and delivery style (tailored vs. not tailored; active participation vs. passive receipt) of each BCT. Results: Researchers coded 3,843 BCTs, which were reliably attributed to Behavioral targets (AC1 = 0.92, PABAK = 0.91). Tailoring (AC1 = 0.80, PABAK = 0.74) and participation (AC1 = 0.71, PABAK = 0.64) were also coded reliably. There was considerable variability between groups in quitting and abstinence BCTs (ranges: 0-41; 0-18) and in tailoring and participation (ranges: 0-20; 0-32), but less variability for medication adherence and treatment engagement (ranges: 0-6; 0-7). Conclusions: Behavioral targets and delivery styles of BCTs can be reliably identified and occur with sufficient frequency in smoking cessation trials for inclusion in quantitative syntheses (e.g., meta-regression analyses). Systematic reviewers could consider adopting these methods to evaluate the impact of intervention components targeting different Behaviors, as well as the benefits of different BCT delivery styles.
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the Behavior Change Technique taxonomy v1 of 93 hierarchically clustered Techniques building an international consensus for the reporting of Behavior Change interventions
Annals of Behavioral Medicine, 2013Co-Authors: Susan Michie, Marie Johnston, Michelle Richardson, Charles Abraham, Jill J Francis, Wendy Hardeman, Martin P Eccles, James E Cane, Caroline E WoodAbstract:CONSORT guidelines call for precise reporting of Behavior Change interventions: we need rigorous methods of characterizing active content of interventions with precision and specificity. The objective of this study is to develop an extensive, consensually agreed hierarchically structured taxonomy of Techniques [Behavior Change Techniques (BCTs)] used in Behavior Change interventions. In a Delphi-type exercise, 14 experts rated labels and definitions of 124 BCTs from six published classification systems. Another 18 experts grouped BCTs according to similarity of active ingredients in an open-sort task. Inter-rater agreement amongst six researchers coding 85 intervention descriptions by BCTs was assessed. This resulted in 93 BCTs clustered into 16 groups. Of the 26 BCTs occurring at least five times, 23 had adjusted kappas of 0.60 or above. “BCT taxonomy v1,” an extensive taxonomy of 93 consensually agreed, distinct BCTs, offers a step Change as a method for specifying interventions, but we anticipate further development and evaluation based on international, interdisciplinary consensus.
Rosiane Simeon - One of the best experts on this subject based on the ideXlab platform.
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Behavior Change Techniques included in reports of social media interventions for promoting health Behaviors in adults content analysis within a systematic review
Journal of Medical Internet Research, 2020Co-Authors: Rosiane Simeon, Omar Dewidar, Jessica Trawin, Stephanie Duench, Heather Manson, Jordi Pardo Pardo, Jennifer Petkovic, Janet Hatcher Roberts, Peter Tugwell, Manosila YoganathanAbstract:BACKGROUND Social media are an increasingly commonly used platform for delivering health promotion interventions. Although recent research has focused on the effectiveness of social media interventions for health promotion, very little is known about the optimal content within such interventions, and the active ingredients to promote health Behavior Change using social media are not clear. Identifying which Behavior Change Techniques (BCTs) are reported may help to clarify the content of interventions using a generalizable terminology that may facilitate future intervention development. OBJECTIVE This study aimed to identify which BCTs are reported in social media interventions for promoting health Behavior Change in adults. METHODS We included 71 studies conducted with adult participants (aged ≥18 years) and for which social media intervention was considered interactive in a Cochrane review of the effectiveness of such interventions. We developed a coding manual informed by the Behavior Change Technique Taxonomy version 1 (BCTTv1) to identify BCTs in the included studies. We identified BCTs in all study arms (including control) and described BCTs in the group and self-directed components of studies. We characterized the dose of delivery for each BCT by low and high intensity. We used descriptive analyses to characterize the reported BCTs. RESULTS Our data consisted of 71 studies published from 2001 to 2017, mainly conducted in high-income countries (n=65). Most studies (n=31) used tailored, interactive websites to deliver the intervention; Facebook was the most used mainstream platform. In developing our coding manual, we adapted some BCTTv1 instructions to better capture unique nuances of how BCTs were operationalized in social media with respect to likes, retweets, smiles, congratulations, and badges. Social support (unspecified), instruction on how to perform the Behavior, and credible source were most frequently identified BCTs in intervention arms of studies and group-delivery settings, whereas instruction on how to perform the Behavior was most commonly applied in self-directed components of studies, control arms, and individual participant settings. Instruction on how to perform the Behavior was also the most frequently reported BCT in both intervention and control arms simultaneously. Instruction on how to perform the Behavior, social support (unspecified), self-monitoring of Behavior, information about health consequences, and credible source were identified in the top 5 BCTs delivered with the highest intensity. CONCLUSIONS This study within a review provides a detailed description of the BCTs and their dose to promote Behavior Change in web-based, interactive social media interventions. Clarifying active ingredients in social media interventions and the intensity of their delivery may help to develop future interventions that can more clearly build upon the existing evidence.
Margaret Allman-farinelli - One of the best experts on this subject based on the ideXlab platform.
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Effectiveness and Behavioral Mechanisms of Social Media Interventions for Positive Nutrition Behaviors in Adolescents: A Systematic Review.
Journal of Adolescent Health, 2018Co-Authors: Anika Rouf, Margaret Allman-farinelliAbstract:Abstract Purpose To determine the effectiveness of social media-based interventions in promoting positive Changes in nutrition Behaviors amongst adolescents, and identify the Behavior Change Technique(s) (BCT(s)) that were used in effective interventions. Methods MEDLINE, Embase, PsycINFO, Cinahl, and Cochrane library were systematically searched. Eligible studies included: participants aged 13–18 years; use of one or more social media platform(s) in the intervention; a comparison group not exposed to the social media-based intervention; nutrition- and diet-related Behavior outcome(s); and an experimental study design. BCTs were identified using a Behavior Change taxonomy. Quality and risk of bias assessments were also conducted. Results Seven eligible interventions were included, varying from internet-only programs to in-person programs with internet or website-based component(s). Studies used relatively outdated forms of social media such as purpose-built discussion boards or chat rooms rather than commercial social media interfaces (e.g. Facebook). Five of the seven interventions demonstrated improvements in at least one nutrition Behavior. The most common improvement was for fruit or vegetable intake, and two of four studies showed improvements for sugar-sweetened beverage consumption. The most common BCT used was social support, followed by demonstration of Behavior, self-monitoring, goal setting, and feedback. Conclusions The current evidence base is equivocal with respect to changing overall dietary Behaviors, as increasing intakes of desirable food groups were more successful than decreasing unfavorable food habits. Further research using better quality interventions, full description of the BCTs, long-term follow-up, and popular contemporary social media platforms to build the evidence base are required.