Psychological and psychosocial determinants of COVID Health Related Behaviours (COHeRe): An evidence and gap map.
Psychological and psychosocial determinants of COVID Health Related Behaviours (COHeRe): An evidence and gap map.
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DOI：
10.1002/cl2.1336
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发表时间：
2023-09
影响因子：
3.2
通讯作者：
Dempster, Martin
中科院分区：
文献类型：
--
作者：
Hanratty, Jennifer;Keenan, Ciara;O'Connor, Sean R;Leonard, Rachel;Chi, Yuan;Ferguson, Janet;Axiaq, Ariana;Miller, Sarah;Bradley, Declan;Dempster, Martin
由 SARS-CoV-2 病毒引起的 COVID-19 大流行已在全球范围内造成疾病、死亡和社会混乱。社会已经实施了各种控制措施，以减少病毒的传播并减轻其影响。个人行为的改变对于这些措施的成功实施至关重要。限制感染风险的常见建议措施包括经常洗手、减少社交互动的频率和使用面罩。重要的是要确定那些可以预测这些保护行为的采取和维持的因素。我们的目的是识别和绘制关于心理和心理社会因素的现有证据（已发表和未发表），这些因素决定了旨在降低感染或传播 COVID-19 风险的行为的吸收和坚持。我们广泛的搜索包括电子数据库（n = 12）、网络搜索、会议记录、政府报告和其他存储库，包括已发表的同行评审、预印本和灰色文献。搜索策略围绕三个感兴趣的概念构建，包括 (1) 背景（与 COVID-19 相关的术语）、(2) 感兴趣的行为和 (3) 与 COVID 健康相关行为的心理和心理社会决定因素以及对推荐行为的坚持或依从相关的术语，以捕获可延展和不可延展的决定因素（即可以改变的决定因素和不能改变的决定因素）。该证据和差距图 (EGM) 包括所有类型的研究，旨在检查旨在减轻 COVID-19 人际传播的常见推荐行为的决定因素。一种或多种行为的所有潜在可塑性和不可塑性决定因素都包含在地图中。作为映射过程的一部分，类别用于对决定因素进行分组。映射类别基于 Hanratty 2021 之前的快速审查。其中包括：“行为”、“认知”、“人口统计”、“疾病”、“情绪”、“健康状况”、“信息”、“干预”和“知识”。那些不适合分类为这些组的因素被作为“其他”决定因素包含在地图中。结果被导入到书目参考管理器中，从多个来源收集的相同研究的重复项被删除。 数据提取程序在 EPPI-Reviewer 软件中进行管理。提取了有关研究类型、人群、测量的行为和测量的决定因素的信息。我们使用 AMSTAR-2 评估了系统评价的方法学质量。我们没有评估这张地图中初步研究的质量。截至 2022 年 6 月 1 日，EGM 包括 1034 条记录，报告 860 项横断面研究、68 项纵向研究、78 项定性研究、25 项综述、62 项干预性研究和 39 项其他研究（例如混合方法）。该地图包括测量社交距离（n = 487）、口罩和面罩（n = 382）、洗手（n = 308）、身体距离（n = 177）、隔离/检疫（n = 157）、呼吸卫生/礼仪（n = 75）、清洁表面的研究(n = 59)，并避免接触 T 区 (n = 48)。有 333 项研究评估了两种或多种行为的综合衡量标准。最大的一组决定因素是“人口统计”（n = 730项研究），其次是“认知”（n = 496项研究）和归类为“其他”的决定因素（n = 447项）。其中包括“信仰”、“文化”和“获取资源”等因素。对于某些决定因素，例如“干预”（n = 99 项研究）、“信息”（n = 101 项研究）和“行为”（149 项研究），可用的证据较少。本次 EGM 为研究人员、政策制定者和公众提供了宝贵的资源，以获取有关各种 COVID-19 健康相关行为的决定因素的现有证据。该地图还可用于帮助指导证据合成团队和证据中介机构的研究委托，以便在当前的大流行以及未来可能爆发的 COVID-19 或其他呼吸道感染期间为政策提供信息。将通过一系列系统评价进一步探讨地图中包含的证据，以检查可塑性决定因素与个人保护行为的采取和维持之间的关联强度。
The COVID‐19 pandemic, caused by the SARS‐CoV‐2 virus, has resulted in illness, deaths and societal disruption on a global scale. Societies have implemented various control measures to reduce transmission of the virus and mitigate its impact. Individual behavioural changes are crucial to the successful implementation of these measures. Common recommended measures to limit risk of infection include frequent handwashing, reducing the frequency of social interactions and the use of face coverings. It is important to identify those factors that can predict the uptake and maintenance of these protective behaviours. We aimed to identify and map the existing evidence (published and unpublished) on psychological and psychosocial factors that determine uptake and adherence to behaviours aimed at reducing the risk of infection or transmission of COVID‐19. Our extensive search included electronic databases (n = 12), web searches, conference proceedings, government reports, other repositories including both published peer reviewed, pre‐prints and grey literature. The search strategy was built around three concepts of interest including (1) context (terms relating to COVID‐19), (2) behaviours of interest and (3) terms related to psychological and psychosocial determinants of COVID Health‐Related Behaviours and adherence or compliance with recommended behaviours, to capture both malleable and non‐malleable determinants (i.e. determinants that could be changed and those that could not). This Evidence and Gap Map (EGM) includes all types of studies examining determinants of common recommended behaviours aimed at mitigating human‐to‐human spread of COVID‐19. All potential malleable and non‐malleable determinants of one or more behaviours are included in the map. As part of the mapping process, categories are used to group determinants. The mapping categories were based on a previous rapid review by Hanratty 2021. These include: ‘behaviour’, ‘cognition’, ‘demographics’, ‘disease’, ‘emotions’, ‘health status’, ‘information’, ‘intervention’, and ‘knowledge’. Those not suitable for categorisation in any of these groups are included in the map as ‘other’ determinants. Results were imported to a bibliographic reference manager where duplications of identical studies gathered from multiple sources were removed. Data extraction procedures were managed in EPPI‐Reviewer software. Information on study type, population, behaviours measured and determinants measured were extracted. We appraised the methodological quality of systematic reviews with AMSTAR‐2. We did not appraise the quality of primary studies in this map. As of 1 June 2022 the EGM includes 1034 records reporting on 860 cross‐sectional, 68 longitudinal, 78 qualitative, 25 reviews, 62 interventional, and 39 other studies (e.g., mixed‐methods approaches). The map includes studies that measured social distancing (n = 487), masks and face coverings (n = 382), handwashing (n = 308), physical distancing (n = 177), isolation/quarantine (n = 157), respiratory hygiene/etiquette (n = 75), cleaning surfaces (n = 59), and avoiding touching the T‐zone (n = 48). There were 333 studies that assessed composite measures of two or more behaviours. The largest cluster of determinants was ‘demographics’ (n = 730 studies), followed by ‘cognition’ (n = 496 studies) and determinants categorised as ‘other’ (n = 447). These included factors such as ‘beliefs’, ‘culture’ and ‘access to resources’. Less evidence is available for some determinants such as ‘interventions’ (n = 99 studies), ‘information’ (n = 101 studies), and ‘behaviour’ (149 studies). This EGM provides a valuable resource for researchers, policy‐makers and the public to access the available evidence on the determinants of various COVID‐19 health‐related behaviours. The map can also be used to help guide research commissioning, by evidence synthesis teams and evidence intermediaries to inform policy during the ongoing pandemic and potential future outbreaks of COVID‐19 or other respiratory infections. Evidence included in the map will be explored further through a series of systematic reviews examining the strength of the associations between malleable determinants and the uptake and maintenance of individual protective behaviours.
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DOI：
10.1016/j.psym.2020.09.005
发表时间：
2021-03
影响因子：
2.3
作者：
Lin Y;Alias H;Luo X;Hu Z;Wong LP
通讯作者：
Wong LP
影响因子：
2.9
作者：
Regmi K;Lwin CM
通讯作者：
Lwin CM
影响因子：
2.9
作者：
Rezende DAN;Pinto AJ;Goessler KF;Nicoletti CF;Sieczkowska SM;Meireles K;Esteves GP;Genario R;Oliveira Júnior GN;Santo MA;de Cleva R;Roschel H;Gualano B
通讯作者：
Gualano B
影响因子：
5.9
作者：
Bakdash T;Marsh C
通讯作者：
Marsh C
影响因子：
2.7
作者：
Lawal O;Nwegbu C
通讯作者：
Nwegbu C