Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, VIC, Australia.
Department of Health Services, Research and Policy, National Centre for Epidemiology and Population Health, Australian National University, Canberra, ACT, Australia.
Front Public Health. 2023 Jun 15;11:1013869. doi: 10.3389/fpubh.2023.1013869. eCollection 2023.
Co-creation of diabetes and obesity prevention with remote communities allows local contextual factors to be included in the design, delivery, and evaluation of disease prevention efforts. The Indian Ocean Territories (IOT) comprise the Christmas (CI) and Cocos Keeling Islands (CKI) and are remote Australian external territories located northwest of the mainland. We present results of a co-design process conducted with residents of IOT using realist inquiry and system mapping.
Interviews with 33 community members (17 CI, 14 CKI, 2 off Islands) on causes and outcomes of diabetes (2020/21) comprising community representatives, health services staff, dietitians, school principals and government administrators. Interviews were used to create causal loop diagrams representing the causes of diabetes in the IOT. These diagrams were used in a participatory process to identify existing actions to address diabetes, identify areas where more effort would be valuable in preventing diabetes, and to described and prioritize actions based on feasibility and likely impact.
Interviews identified 31 separate variables categorized into four themes (structural, food, knowledge, physical activity). Using causa loop diagrams, community members developed 32 intervention ideas that included strengthening healthy behaviors like physical activity, improving access to healthy and culturally appropriate foods, and overcoming the significant cost and availability limitations imposed by remoteness and freight costs. Interventions included relatively unique Island issues (e.g., freight costs, limited delivery timing), barriers to healthy food (e.g., limited fresh food availability), physical activity (e.g., transient workforce) and knowledge (e.g., multiple cultural backgrounds and language barriers, intergenerational knowledge).
与偏远社区共同制定糖尿病和肥胖预防措施,可以将当地的背景因素纳入疾病预防工作的设计、实施和评估中。印度洋领地(IOT)由圣诞岛(CI)和可可斯群岛(CKI)组成,是位于澳大利亚大陆西北部的偏远的澳大利亚外部领地。我们展示了与 IOT 居民使用现实主义调查和系统映射共同设计的结果。
对 33 名社区成员(CI 17 名,CKI 14 名,2 名离岛居民)进行了关于糖尿病病因和结果的访谈(2020/21 年),其中包括社区代表、卫生服务人员、营养师、校长和政府管理人员。访谈用于创建代表 IOT 中糖尿病病因的因果关系图。这些图表在一个参与式过程中被用来确定现有的预防糖尿病的行动,识别在预防糖尿病方面更有价值的领域,并根据可行性和可能的影响描述和优先考虑行动。
访谈确定了 31 个单独的变量,分为四个主题(结构、食物、知识、体力活动)。社区成员使用因果关系图制定了 32 个干预想法,包括加强体力活动等健康行为,改善获得健康和文化上适当的食物的机会,并克服偏远地区和货运成本带来的重大成本和可用性限制。干预措施包括相对独特的岛屿问题(如运费、有限的交货时间)、健康食品的障碍(如新鲜食品的有限供应)、体力活动(如临时工)和知识(如多种文化背景和语言障碍、代际知识)。