Abstract

Simple SummaryPopulation and health management of dogs and cats in remote communities is challenging due to limited access to veterinary services and high reproductive rates. Financial support for companion animal management within communities is limited and programs delivered by external providers rarely achieve sustainable outcomes. An alternative approach, whereby community participation is enlisted from the beginning before implementing any interventions, may help to achieve sustainable improvements in animal populations and to improve animal health. To this end, stakeholders were interviewed and it was determined that dog overpopulation was the overarching issue. Focus group discussions were then conducted with three of the four same stakeholder groups to uncover the main causes of this issue, followed by solutions being generated that the community could undertake to address the issue. Similar causes were discussed and multiple solutions were developed, with education and training prioritised as the top solutions by all three groups. These will require transformational social adaptations to build the capacity of the local community to implement the solutions.Companion animal management in Australian remote Aboriginal communities (rAcs) is a complex problem with multiple stakeholders involved, with differing needs, knowledge, power and resources. The Comm4Unity (Cycle of Multiple Methods for Unity—For Community) approach was designed to address such problems. This study represents the second step of the Comm4Unity framework, where a causal loop analysis (CLA) was adapted and tested as a tool to address the issue of dog overpopulation in Wurrumiyanga, and in particular the systemic causes of the problem and necessary transformational management solutions. Ten focus group discussions (FGDs) were held amongst three of the four stakeholder groups identified during the first step in the analysis. The CLA identified 13 positive feedback loops, which drive vicious cycles and perpetuate the dog overpopulation issue. All three groups agreed and developed 22 solutions to address the causes of dog overpopulation. Despite the differences in the framings of the three groups, “training” and “education” were both the top priority solutions for all three groups. The majority of the solutions discussed by the groups were not only transformational but also social, requiring collaboration. This study was successful in so far as transformational actions were co-developed by all FGDs, which may have also built capacity and agency amongst the local community to implement them as a cohesive group.

Highlights

  • The world is increasingly beset by complex problems, caused by escalating technical, social and economic connectivity, which drive and are driven by rapid globalisation

  • The group suggested that the priority solution was a transformational action, the provision of more training to educate owners about looking after their dogs in order to reduce the spread of parasites and disease amongst dogs to people

  • When tackling complex problems involving multiple stakeholder groups, participatory methods such as causal loop analysis (CLA) can enable all participants to contribute their knowledge, which is an important principle for addressing wicked problems

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Summary

Introduction

The world is increasingly beset by complex problems, caused by escalating technical, social and economic connectivity, which drive and are driven by rapid globalisation. These complex issues have both content and process complexities, and the more “wicked” they become, the harder they are to solve [1]. Complex content describes multidimensional problems with differing aspects joining together under the one issue, making the problem difficult to define, whilst process complexity refers to issues where an elaborate network of stakeholders are involved with differing values and goals [2] These are multifaceted problems that cannot be solved by one person or group, and require multiple stakeholders to input their diverse knowledge and generate solutions [2].

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