Abstract
Public health practitioners produce urban health indicator (UHI) tools to inform built environment policy and decision-making, among other objectives. Indicator producers perceive UHI tools as an easily understandable form of evidence about the urban environment impact on health for policy-makers’ consumption. However, indicator producers often conceptualise policy-making as a rational and linear process, therefore underestimating the complex and contested nature of developing and implementing policy. This study investigates the health-promotion value of UHI tools in the complex urban planning policy and decision-making context. A thematic analysis was conducted following semi-structured interviews with 22 indicator producers and users in San Francisco, Melbourne and Sydney. The analysis was informed by collaborative rationality and systems theories and the results were used to develop causal loop diagrams (CLDs) of producers and users’ mental models. The preliminary CLDs were tested and improved through a participatory modelling workshop (six participants). A high-level CLD depicts users and producers’ shared mental model in which indicator development and use are embedded in policy development and application processes. In the cases analysed, creating and using UHI tools increased inter-sectoral relationships, which supported actors to better understand each other’s opportunities and constraints. These relationships spurred new advocates for health in diverse organisations, supporting health-in-all-policies and whole-of-society approaches. Constraints to health-promoting policy and implementation (such as those which are legal, political and economic in nature), were overcome through community involvement in UHI tools and advocacy effectiveness. A number of factors reduced the perceived relevance and authority of UHI tools, including: a high number of available indicators, lack of neighbourhood scale data and poor-quality data. In summary, UHI tools were a form of evidence that influenced local urban planning policy and decision-making when they were embedded in policy processes, networks and institutions. In contrast to the dominant policy impact model in the indicator literature, such evidence did not typically influence policy as an exogenous entity. Indicators had impact when they were embedded in local institutions and well-resourced over time, resulting in trusted relationships and collaborations among indicator producers and users. Further research is needed to explore other governance contexts and how UHI tools affect the power of different actors, particularly for under-represented communities.
Highlights
Governance for urban health is defined by the need for a systems approach to tackle the complex causes of illhealth, requiring multi-stakeholder collaboration across sectors, including the translation of knowledge from research to practice (Kickbusch and Gleicher, 2012; Gatzweiler et al, 2018)
We present each of the five themes that emerged from the thematic analysis in Table 2 and relate these to the high-level causal loop diagrams (CLDs) (Fig. 2)
By stating that urban health indicator (UHI) tools are endogenous in policy and decision-making processes we build on language by the Pastille Consortium (2002) who said that indicators ‘are not exogenous factors parachuted in’ to governance (p. 90)
Summary
Governance for urban health is defined by the need for a systems approach to tackle the complex causes of illhealth, requiring multi-stakeholder collaboration across sectors, including the translation of knowledge from research to practice (Kickbusch and Gleicher, 2012; Gatzweiler et al, 2018). The Lalonde Report (1974) and WHO Healthy Cities Movement (Hancock and Duhl, 1986) advocated for public health professionals to influence urban planning policy and decision-making to improve the social determinants of health. 17), this conceptualisation has been rejected by scholars who recognise the complex and contested nature of policy processes, and the use of evidence within these processes (Cairney, 2012; Innes and Booher, 2010; Cairney and Oliver, 2017). It is unclear how UHIs may inform or influence the complex urban planning policy and decision-making context
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