| Literature DB >> 33920765 |
Amal Chakraborty1,2, Mark Daniel1,3,4, Natasha J Howard1,5,6, Alwin Chong7, Nicola Slavin8, Alex Brown1,5,6, Margaret Cargo1,3.
Abstract
The high prevalence of preventable infectious and chronic diseases in Australian Indigenous populations is a major public health concern. Existing research has rarely examined the role of built and socio-political environmental factors relating to remote Indigenous health and wellbeing. This research identified built and socio-political environmental indicators from publicly available grey literature documents locally-relevant to remote Indigenous communities in the Northern Territory (NT), Australia. Existing planning documents with evidence of community input were used to reduce the response burden on Indigenous communities. A scoping review of community-focused planning documents resulted in the identification of 1120 built and 2215 socio-political environmental indicators. Indicators were systematically classified using an Indigenous indicator classification system (IICS). Applying the IICS yielded indicators prominently featuring the "community infrastructure" domain within the built environment, and the "community capacity" domain within the socio-political environment. This research demonstrates the utility of utilizing existing planning documents and a culturally appropriate systematic classification system to consolidate environmental determinants that influence health and disease occurrence. The findings also support understanding of which features of community-level built and socio-political environments amenable to public health and social policy actions might be targeted to help reduce the prevalence of infectious and chronic diseases in Indigenous communities.Entities:
Keywords: built environment; community capacity; community infrastructure; environmental health; environmental indicators; grey literature; indigenous; public health; public policy; social planning
Year: 2021 PMID: 33920765 PMCID: PMC8071139 DOI: 10.3390/ijerph18084167
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Inclusion criteria used for identification and selection of relevant studies.
| Criterion No. | Descriptions |
|---|---|
| 1. | Specific to Indigenous people living in one or more remote communities identified for the EnRICH Project in the NT, Australia. |
| 2. | Represent policy, reporting, evaluation, strategic planning, or local planning documents with a focus relevant to health and wellbeing, including preventable chronic disease and/or infectious disease. |
| 3. | Must contain one or more identifiable community-level objective or subjective built and socio-political environmental indicators relevant to the social determinants of health. |
| 4. | Show evidence of consultation (e.g., provide details on who participated, venue, date, and nature of input provided and not merely refer to “the community was consulted”) with Indigenous community members, representatives, or frontline professionals working in the areas of public and environmental health.1 |
| 5. | Publicly available online or in other formats published by government and non-government organizations in the most recent year but not earlier than 2001. |
| 6. | Regional and state or territory level documents were included if they had relevance to one or more communities identified for the EnRICH Project in the NT, Australia. |
1 Instances where insufficient detail of the community consultation was provided in a document, the first author investigated the source organization’s website for evidence of community consultation pertaining to that document (e.g., regional council and local authority meeting agenda and minutes where participants have workshopped for community priorities and discussed draft regional plans with stakeholders; photos of consultations).
Figure 1Process of identifying and selecting primary documents.
Descriptive characteristics of unique indicator statements related to socio-political and built environments according to type of planning document.
| Types of Documents | Descriptive Statistics | No. of Unique Indicator Statements | |
|---|---|---|---|
| Included | Excluded | ||
| Community-level plan | N (number of indicator statements) | 1458 | 276 |
| Mean | 47.0 | 8.9 | |
| SD | 35.1 | 7.3 | |
| Median | 46.0 | 8.0 | |
| 1st Qtl (0.25) | 16.0 | 2.0 | |
| 3rd Qtl (0.75) | 72.5 | 13.0 | |
| Min | 5 | 0 | |
| Max | 120 | 30 | |
| Regional-level plan ( | N (number of indicator statements) | 455 | 265 |
| Mean | 56.9 | 33.1 | |
| SD | 33.0 | 22.8 | |
| Median | 58.5 | 42.0 | |
| 1st Qtl (0.25) | 32.7 | 11.5 | |
| 3rd Qtl (0.75) | 79.25 | 47.0 | |
| Min | 9 | 3 | |
| Max | 99 | 62 | |
Figure 2(a) Distribution of indicators by domain for the socio-political environmental subject group; (b) distribution of indicators by domain for the built environmental subject group.
Figure 3(a) Distribution of indicators by goal dimension for the socio-political environmental subject group; (b) distribution of indicators by goal dimension for the built environmental subject group.
Figure 4(a) Distribution of indicators by indicator group for the socio-political environmental subject group; (b) distribution of indicators by indicator groups for the built environmental subject group.