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针对公众对抗微生物药物耐药性的参与度的干预措施的“有效成分”是什么,以及它们可能如何发挥作用?

What are the 'active ingredients' of interventions targeting the public's engagement with antimicrobial resistance and how might they work?

机构信息

Institute for Applied Health, Glasgow Caledonian University, UK.

School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.

出版信息

Br J Health Psychol. 2018 Nov;23(4):804-819. doi: 10.1111/bjhp.12317. Epub 2018 May 27.

Abstract

OBJECTIVES

Changing public awareness of antimicrobial resistance (AMR) represents a global public health priority. A systematic review of interventions that targeted public AMR awareness and associated behaviour was previously conducted. Here, we focus on identifying the active content of these interventions and explore potential mechanisms of action.

METHODS

The project took a novel approach to intervention mapping utilizing the following steps: (1) an exploration of explicit and tacit theory and theoretical constructs within the interventions using the Theoretical Domains Framework (TDFv2), (2) retrospective coding of behaviour change techniques (BCTs) using the BCT Taxonomy v1, and (3) an investigation of coherent links between the TDF domains and BCTs across the interventions.

RESULTS

Of 20 studies included, only four reported an explicit theoretical basis to their intervention. However, TDF analysis revealed that nine of the 14 TDF domains were utilized, most commonly 'Knowledge' and 'Environmental context and resources'. The BCT analysis showed that all interventions contained at least one BCT, and 14 of 93 (15%) BCTs were coded, most commonly 'Information about health consequences', 'Credible source', and 'Instruction on how to perform the behaviour'.

CONCLUSIONS

We identified nine relevant TDF domains and 14 BCTs used in these interventions. Only 15% of BCTs have been applied in AMR interventions thus providing a clear opportunity for the development of novel interventions in this context. This methodological approach provides a useful way of retrospectively mapping theoretical constructs and BCTs when reviewing studies that provide limited information on theory and intervention content. Statement of contribution What is already known on this subject? Evidence of the effectiveness of interventions that target the public to engage them with AMR is mixed; the public continue to show poor knowledge and misperceptions of AMR. Little is known about the common, active ingredients of AMR interventions targeting the public and information on explicit theoretical content is sparse. Information on the components of AMR public health interventions is urgently needed to enable the design of effective interventions to engage the public with AMR stewardship behaviour. What does this study add? The analysis shows very few studies reported any explicit theoretical basis to the interventions they described. Many interventions share common components, including core mechanisms of action and behaviour change techniques. The analysis suggests components of future interventions to engage the public with AMR.

摘要

目的

改变公众对抗微生物药物耐药性(AMR)的认识是全球公共卫生的当务之急。此前,我们已经对针对公众 AMR 意识和相关行为的干预措施进行了系统评价。在这里,我们专注于确定这些干预措施的有效内容,并探索潜在的作用机制。

方法

该项目采用了一种新颖的方法来进行干预映射,利用以下步骤:(1)利用理论领域框架(TDFv2)探索干预措施中明确和隐含的理论和理论结构;(2)使用行为改变技术(BCT)分类学 v1 对行为改变技术(BCTs)进行回溯编码;(3)调查干预措施中 TDF 领域与 BCTs 之间的连贯联系。

结果

在纳入的 20 项研究中,只有 4 项报告了干预措施的明确理论基础。然而,TDF 分析显示,14 个 TDF 域中有 9 个被利用,最常见的是“知识”和“环境背景和资源”。BCT 分析表明,所有干预措施都包含至少一个 BCT,并且对 93 个 BCT 中的 14 个进行了编码,最常见的是“关于健康后果的信息”、“可信来源”和“关于如何执行行为的指导”。

结论

我们确定了这 14 项干预措施中使用的九个相关 TDF 领域和 14 个 BCT。只有 15%的 BCT 应用于 AMR 干预措施,因此为该领域开发新的干预措施提供了明确的机会。这种方法为回顾性地映射理论结构和 BCT 提供了一种有用的方法,当研究提供有限的理论和干预内容信息时尤其如此。

贡献声明

关于这个主题,目前已经有哪些已知信息?

针对公众的旨在让他们参与 AMR 的干预措施的效果证据不一;公众对抗微生物药物耐药性的知识仍然很差,而且对抗微生物药物耐药性存在误解。针对公众的针对 AMR 的公共卫生干预措施的常见成分知之甚少,而且关于明确理论内容的信息也很少。迫切需要有关 AMR 公共卫生干预措施组成部分的信息,以便能够设计出有效的干预措施,使公众参与 AMR 管理行为。

这项研究有哪些新增内容?

分析表明,很少有研究报告了他们所描述的干预措施的任何明确理论基础。许多干预措施有共同的组成部分,包括核心作用机制和行为改变技术。分析表明,未来参与 AMR 的公众的干预措施的组成部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8a3/6175406/304d60b1d584/BJHP-23-804-g001.jpg

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