Development of an online tool for linking behavior change techniques and mechanisms of action based on triangulation of findings from literature synthesis and expert consensus.

Development of an online tool for linking behavior change techniques and mechanisms of action based on triangulation of findings from literature synthesis and expert consensus.
复制标题

DOI:
10.1093/tbm/ibaa050
复制
发表时间:
2021-05-25
影响因子:
3.6
通讯作者:
Michie S
Michie S
中科院分区:
医学3区
文献类型:
--
作者:
Johnston M;Carey RN;Connell Bohlen LE;Johnston DW;Rothman AJ;de Bruin M;Kelly MP;Groarke H;Michie S

文献摘要

参考文献

被引文献

相似文献

研究人员、从业者和政策制定者根据他们对行为改变技术(BCT)如何影响行为决定因素的理解,制定了改变行为的干预措施。一种透明、系统和可访问的方法,将BCT与它们改变行为的过程联系起来(即,它们的作用机制[MoAs])将促进对干预效果的理解,并改进理论和干预发展。本研究的目的是三角证据的假设BCT-MoA链接在以前的两项研究中获得的,并提出了一个互动的,在线工具的结果。之前的两项研究根据文献综合和专家共识中的频率,得出了56个BCT和26个MoA之间存在联系的证据。使用多水平模型检查了两项研究结果之间的一致性。两项研究之间的一致性和差异由16位行为改变专家使用共识发展方法进行调和。由此产生的证据被用来生成一个在线工具。这两项研究表明,26个MoA中有25个一致,37个链接和460个“非链接”一致。另外55个链接通过共识解决(总共92 [37 + 55]个假设的BCT-MoA链接)。关于1 456个可能链接的完整数据被纳入在线互动理论和技术工具(https://theoryandtechniquetool.humanbehaviourchange.org/)。两种不同证据来源的三角测量为BCT如何影响改变行为的机制提供了指导,并可作为行为改变干预设计者,研究人员和理论家的资源,支持干预设计,研究综合和合作研究。
Researchers, practitioners, and policymakers develop interventions to change behavior based on their understanding of how behavior change techniques (BCTs) impact the determinants of behavior. A transparent, systematic, and accessible method of linking BCTs with the processes through which they change behavior (i.e., their mechanisms of action [MoAs]) would advance the understanding of intervention effects and improve theory and intervention development. The purpose of this study is to triangulate evidence for hypothesized BCT–MoA links obtained in two previous studies and present the results in an interactive, online tool. Two previous studies generated evidence on links between 56 BCTs and 26 MoAs based on their frequency in literature synthesis and on expert consensus. Concordance between the findings of the two studies was examined using multilevel modeling. Uncertainties and differences between the two studies were reconciled by 16 behavior change experts using consensus development methods. The resulting evidence was used to generate an online tool. The two studies showed concordance for 25 of the 26 MoAs and agreement for 37 links and for 460 “nonlinks.” A further 55 links were resolved by consensus (total of 92 [37 + 55] hypothesized BCT–MoA links). Full data on 1,456 possible links was incorporated into the online interactive Theory and Technique Tool (https://theoryandtechniquetool.humanbehaviourchange.org/). This triangulation of two distinct sources of evidence provides guidance on how BCTs may affect the mechanisms that change behavior and is available as a resource for behavior change intervention designers, researchers and theorists, supporting intervention design, research synthesis, and collaborative research.
DOI: 10.1016/0749-5978(91)90020-t
发表时间: 1991-12-01
影响因子: 4.6
作者:
AJZEN, I
通讯作者: AJZEN, I
DOI: 10.1111/2041-210x.12225
发表时间: 2014-09
影响因子: 6.6
作者:
Johnson PC
通讯作者: Johnson PC
DOI: 10.1136/bmj.h1258
发表时间: 2015-03-19
期刊: BMJ (Clinical research ed.)
影响因子: --
作者:
Moore GF;Audrey S;Barker M;Bond L;Bonell C;Hardeman W;Moore L;O'Cathain A;Tinati T;Wight D;Baird J
通讯作者: Baird J
DOI: 10.1016/j.brat.2017.07.002
发表时间: 2018-03
影响因子: 4.1
作者:
Nielsen L;Riddle M;King JW;NIH Science of Behavior Change Implementation Team;Aklin WM;Chen W;Clark D;Collier E;Czajkowski S;Esposito L;Ferrer R;Green P;Hunter C;Kehl K;King R;Onken L;Simmons JM;Stoeckel L;Stoney C;Tully L;Weber W
通讯作者: Weber W
DOI: 10.1177/1558689815570092
发表时间: 2016-07-01
影响因子: 3.9
作者:
Archibald, Mandy M.
通讯作者: Archibald, Mandy M.