| Literature DB >> 30380619 |
Brydie Clarke1,2, Boyd Swinburn3,4, Gary Sacks5.
Abstract
Despite the growing health and economic burden associated with overweight and obesity, preventive policy progress has been deficient globally. This study investigated the policy process involved in the adoption of the Achievement Program, a settings-based health promotion intervention that was a key pillar of the Healthy Together Victoria obesity prevention initiative. The qualitative study utilised multiple theories of the policy process, as well as Causal Loop Diagramming (CLD) methods, to understand the policy systems underlying the decision to adopt the Achievement Program. Factors that impacted this obesity prevention policy adoption included problem prioritisation at Federal and state government levels; political risks regarding policy action and inaction, and framing used by policy advocates to reduce risks and highlight the opportunities related to the Achievement Program policy implementation. The use of CLD methods was advantageous to further conceptualise potential leverage points and effective ways to influence obesity prevention policy in future. As such, the findings contribute to the obesity prevention policy evidence base and toward developing a number of recommended actions for policy actors seeking to increase future policy action.Entities:
Keywords: advocacy; health policy; health promotion; obesity prevention; policy processes; systems thinking
Mesh:
Year: 2018 PMID: 30380619 PMCID: PMC6265848 DOI: 10.3390/ijerph15112393
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Policy processes involved in the adoption of the Achievement Program overview.
Figure 2The causal loop diagram of influences on the decision to adopt the Achievement Program. All solid lines indicate where there was triangulated data (both across different methods (interview and documents) and source (different interviewees or document sources) to demonstrate the relationship between factors. Dotted lines were used to denote relationships whereby there was limited evidence within this dataset of a relationship and triangulation could not be achieved. Two hash marks, || on causal links between elements indicated a time delay between variables. A “+” sign and against the arrow head/handle and blue colour indicate that, as the causal variable increases or decreases, the influenced variable also changes in the same direction. A “-” sign and red colour arrow suggest the change is in the reverse direction.
Figure 3Achievement Program example leverage points for policy change. Reinforcing loops one (R1) and two (R2) demonstrate how improved political capacity and capabilities can increase (+) the alignment of policy proposals to decision-maker beliefs and other government objectives. This increased support from decision-makers for policy change. This becomes a virtuous reinforcing loop when reflection and learning regarding these effective tactics is shared with other public health policy brokers.