Here is a portfolio of evidence-informed work aimed at structuring scaling processes and supporting informed decision-making that bridges science and practice.
A national initiative in Canada used the James Lind Alliance method to identify the top ten research priorities in critical care medicine, involving patients, families, and healthcare providers. These priorities aim to guide future research that is relevant and evidence-based, filling critical gaps in current guidelines.
What are the main areas of knowledge related to scaling up? What evidence is available on scaling up effective innovations in health and social services? What knowledge gaps exist?
Is the dissemination of a decision-making tool sufficient to support the complex decisions that must be made by elderly people with declining autonomy and their loved ones, or is training in shared decision-making necessary?
Discover a pilot project that has established a large-scale, effective, and collaborative dissemination practice between researchers, clinicians, and citizens.
When health knowledge products are misused—either too much or too little—the entire system wastes resources, including in primary care. This study explores which products are actually applied, how they are applied, and what impacts are measured.
This article aims to raise awareness of key pitfalls to anticipate when planning for scalability, drawing on experiences from both low- and middle-income countries and high-income countries.
In 2013, the Canadian Institutes of Health Research supported twelve teams to develop evidence-based innovations in primary health care and assess their scalability. This study aimed to explore the scalability of these innovations.
A wide range of evidence-based practices have the potential to improve patient outcomes, but little is known about how to implement them at scale. This study aimed to identify effective strategies for scaling up evidence-based practices in primary care.
The prevalence of mood disorders has increased worldwide, but there is heterogeneity in the use of healthcare services. Scientists have identified four trajectories of care and classified people with mood disorders into service utilization groups to help decision-makers allocate resources.
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