Cultural adaptations and methodological innovations to group model building for the systems actions to reduce malnutrition in all its forms in Southeast Asian countries and China (SYSTAM CHINA-SEACS International Consortium) project.
Cultural adaptations and methodological innovations to group model building for the systems actions to reduce malnutrition in all its forms in Southeast Asian countries and China (SYSTAM CHINA-SEACS International Consortium) project.
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DOI：
10.1186/s12966-023-01510-5
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发表时间：
2023-09-18
影响因子：
8.7
通讯作者：
Swinburn, Boyd
中科院分区：
文献类型：
--
作者：
Li, Bai;He, Zouyan;Peters, Remco;Allender, Steven;Zou, Yunfeng;Zhou, Weiwen;Lao, Jianfeng;Poh, Bee Koon;Swinburn, Boyd
关键词：
群体模型构建（GMB）是一种参与式系统动力学方法，越来越多地用于解决肥胖等复杂的公共卫生问题。专线小巴代表了一组定义明确的步骤，让主要利益相关者确定共享的驱动程序和解决方案的给定问题.然而，性别平等管理小组尚未专门用于制定多职责干预措施，以解决各种形式的营养不良等多种相互关联的问题。此外，最近对系统方法在制定肥胖干预措施方面的经验应用进行了系统回顾，没有发现来自非西方、低收入和中等收入国家（LMIC）的已发表工作。在本文中，我们描述了一个共同的绿色专线小巴过程的适应和创新，共同开发系统的MIAIF干预与中国决策者。我们开发，试点和实施多种文化适应和两种方法创新，以常用的专线小巴过程中防城港市，中国。我们在绿色专线小巴研讨会之前和之间包括了正式的、仪式性的和政策制定者参与活动，并在参与者招募（相同资历级别的官员参加同一研讨会）和研讨会活动（例如，使用个人记分活动和手牌）。我们对常用的GMB活动进行了更改，这些活动可以在单个因果循环图中映射多个健康问题（在我们的案例中为MIAIF）的共享驱动因素。我们开发并使用了一种“混合”专线小巴形式，结合了在线和面对面的便利，以减少旅行和相关的气候影响。我们创新的绿色专线小巴过程导致高度参与和支持决策者代表不同的政府部门在整个食品系统.我们共同确定并优先考虑MIAIF的系统驱动因素和干预主题。市政府成立了一个官方的地方行动小组，负责长期、跨部门地执行、监测和评价共同制定的干预措施。“混合”专线小巴格式实现了很大的互动，同时减少国际旅行和减轻完全在线专线小巴过程的限制.在亚洲低收入国家背景下，成功地对通用GMB流程进行了文化和方法上的调整。“混合”专线小巴模式是可行、具成本效益及更环保的。这些文化适应可以考虑用于其他亚洲环境和其他环境，以解决相互关联的复杂问题，如MIAIF。
Group Model Building (GMB) is a participatory system dynamics method increasingly used to address complex public health issues like obesity. GMB represents a set of well-defined steps to engage key stakeholders to identify shared drivers and solutions of a given problem. However, GMB has not yet been applied specifically to develop multi-duty interventions that address multiple inter-related issues such as malnutrition in all its forms (MIAIF). Moreover, a recent systematic review of empirical applications of a systems approach to developing obesity interventions found no published work from non-western, low- and middle-income countries (LMICs). In this paper we describe adaptations and innovations to a common GMB process to co-develop systemic MIAIF interventions with Chinese decision-makers. We developed, piloted and implemented multiple cultural adaptations and two methodological innovations to the commonly used GMB process in Fang Cheng Gang city, China. We included formal, ceremonial and policy maker engagement events before and between GMB workshops, and incorporated culturally tailored arrangements during participant recruitment (officials of the same seniority level joined the same workshop) and workshop activities (e.g., use of individual scoring activities and hand boards). We made changes to the commonly used GMB activities which enabled mapping of shared drivers of multiple health issues (in our case MIAIF) in a single causal loop diagram. We developed and used a ‘hybrid’ GMB format combining online and in person facilitation to reduce travel and associated climate impact. Our innovative GMB process led to high engagement and support from decision-makers representing diverse governmental departments across the whole food systems. We co-identified and prioritised systemic drivers and intervention themes of MIAIF. The city government established an official Local Action Group for long-term, inter-departmental implementation, monitoring and evaluation of the co-developed interventions. The ‘hybrid’ GMB format enabled great interactions while reducing international travel and mitigating limitations of fully online GMB process. Cultural and methodological adaptations to the common GMB process for an Asian LMIC setting were successful. The ‘hybrid’ GMB format is feasible, cost-effective, and more environmentally friendly. These cultural adaptations could be considered for other Asian settings and beyond to address inter-related, complex issues such as MIAIF.
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影响因子：
15.2
作者：
Hayward, Joshua;Morton, Saraya;Allender, Steven
通讯作者：
Allender, Steven
DOI：
10.3390/ijerph17103457
发表时间：
2020-05-01
影响因子：
--
作者：
Gerritsen, Sarah;Harre, Sophia;Swinburn, Boyd
通讯作者：
Swinburn, Boyd
影响因子：
3.7
作者：
Allender, Steven;Owen, Brynle;Bell, Colin
通讯作者：
Bell, Colin
影响因子：
1.8
作者：
Vargas，Carmen;Hillenaar，Monique;Whelan，Jillian
通讯作者：
Whelan，Jillian
影响因子：
4
作者：
Morais LMO;Kuhlberg J;Ballard E;Indvik K;Rocha SC;Sales DM;de Oliveira Cardoso L;Gouveia N;de Lima Friche AA;Caiaffa WT
通讯作者：
Caiaffa WT