Journal ArticleDOI
Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions.
TLDR
A meta-analytic review of the literature on tailored print health behavior change interventions found the sample size-weighted mean effect size of the effects of tailoring on health behaviorchange was found to be r = .074.Abstract:
Although there is a large and growing literature on tailored print health behavior change interventions, it is currently not known if or to what extent tailoring works. The current study provides a meta-analytic review of this literature, with a primary focus on the effects of tailoring. A comprehensive search strategy yielded 57 studies that met inclusion criteria. Those studies-which contained a cumulative N = 58,454-were subsequently meta-analyzed. The sample size-weighted mean effect size of the effects of tailoring on health behavior change was found to be r = .074. Variables that were found to significantly moderate the effect included (a) type of comparison condition, (b) health behavior, (c) type of participant population (both type of recruitment and country of sample), (d) type of print material, (e) number of intervention contacts, (f) length of follow-up, (g) number and type of theoretical concepts tailored on, and (h) whether demographics and/or behavior were tailored on. Implications of these results are discussed and future directions for research on tailored health messages and interventions are offered.read more
Citations
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Effective Techniques in Healthy Eating and Physical Activity Interventions: A Meta-Regression
TL;DR: Classifying interventions according to component techniques and theoretically derived technique combinations and conducting meta-regression enabled identification of effective components of interventions designed to increase physical activity and healthy eating.
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The role of behavioral science theory in development and implementation of public health interventions.
Karen Glanz,Donald B. Bishop +1 more
TL;DR: An overview of the state of the science of theory use for designing and conducting health-promotion interventions and identifies cross-cutting themes and important future directions for bridging the divides between theory, practice, and research.
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Donald O. Case,Lisa M. Given +1 more
TL;DR: In this paper, the authors introduce concepts relevant to Information Behavior Models, Paradigms, and Theories in the study of Information Behavior Methods for Studying Information Behavior Research Results and Reflections.
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Bridging research and practice: models for dissemination and implementation research.
TL;DR: This work organizes and synthesizes these models by developing an inventory of models used in D&I research, synthesizing this information and providing guidance on how to select a model to inform study design and execution to enable researchers to better identify and select models to inform their D &I work.
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Persuasive System Design Does Matter: A Systematic Review of Adherence to Web-Based Interventions
TL;DR: Using intervention characteristics and persuasive technology elements, a substantial amount of variance in adherence can be explained and can be used to make an informed decision about how to design a web-based intervention to which patients are more likely to adhere.
References
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Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research
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A Coefficient of agreement for nominal Scales
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Meta-Analysis: A Constantly Evolving Research Integration Tool
TL;DR: The four articles in this special section onMeta-analysis illustrate some of the complexities entailed in meta-analysis methods and contributes both to advancing this methodology and to the increasing complexities that can befuddle researchers.