Aligning valid research outcomes with stakeholder values—what do they need for decision-making?

TL;DR

This paper discusses how researchers should align their study outcomes with stakeholder values to improve decision-making in veterinary research.

Contribution

The paper emphasizes the need to define primary research outcomes based on stakeholder values rather than using post-hoc surrogate measures.

Findings

Traditional animal health metrics may not align with stakeholder needs in veterinary research.

Designing studies with stakeholder-informed outcomes reduces error and bias in decision-making.

Sustainability frameworks can help balance social, economic, and environmental impacts in animal health research.

Abstract

This paper is derived from a presentation given by the first author at the 2024 Symposium for the Calvin Schwabe Award, presented to Dr. Jan Sargeant for Lifetime Achievement in Veterinary Epidemiology and Preventive Medicine. Researchers must work toward ensuring validity throughout the research process, but we also should ensure that our resulting outcomes are specified to appropriately inform and enable decision-making by the end-users. Given the scope and diversity of topics addressed by veterinary researchers, the potential beneficiaries or stakeholders of our research also varies. Stakeholders or end-users may include veterinary practitioners, other researchers, livestock owners, “pet parents,” government officials, corporate entities, or the general public in the case of public health or food security and safety issues. Current research in animal agriculture provides an opportunity to consider research outcomes in a sustainability framework which concurrently values social, economic, and environment impacts of animal health and management decisions. In companion animals, contemporary issues of affordability and access to care, quality of life, or compliance effects on efficacy, also extend the spectrum of relevant research outcomes. In these cases, traditional measures of animal health, such as morbidity, mortality, or weight gain, may not be the most relevant for the end-users. Furthermore, if studies are not designed and analyzed with well-defined primary outcomes that are informed by stakeholders’ values, but rather post-hoc considerations of these values are made based on indirect or surrogate measures, there is the potential to incorporate error and bias into our conclusions and the end-users’ decision-making processes.