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Category: implementation

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Analytics

Who Really Controls Implementation? Why Authority Matters More Than Buy-In

This article is part of Decision-Useful Implementation Science, an ongoing series exploring what implementation research actually tells us about putting evidence into practice. Using large-scale text analysis, natural language processing, and bibliometric methods, the project examines nearly 1.5 million PubMed-indexed publications from 1980 to 2025. Rather than reviewing individual studies, the series steps back to […]

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Analytics

The Comfortable Politics of Implementation Science

This article is part of Decision-Useful Implementation Science, an ongoing series exploring what implementation research actually tells us about putting evidence into practice. Using large-scale text analysis, natural language processing, and bibliometric methods, the project examines nearly 1.5 million PubMed-indexed publications from 1980 to 2025. Rather than reviewing individual studies, the series steps back to […]

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Analytics

Leadership Isn’t a Mechanism in Implementation Science

This article is part of Decision-Useful Implementation Science, an ongoing series exploring what implementation research actually tells us about putting evidence into practice. Using large-scale text analysis, natural language processing, and bibliometric methods, the project examines nearly 1.5 million PubMed-indexed publications from 1980 to 2025. Rather than reviewing individual studies, the series steps back to […]

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Analytics

The Missing Ingredient: Do Implementation Papers Actually Prioritize Barriers?

This article is part of Decision-Useful Implementation Science, an ongoing series exploring what implementation research actually tells us about putting evidence into practice. Using large-scale text analysis, natural language processing, and bibliometric methods, the project examines nearly 1.5 million PubMed-indexed publications from 1980 to 2025. Rather than reviewing individual studies, the series steps back to […]

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Analytics

A List Isn’t a Decision: Why Barrier and Facilitator Studies Don’t Always Help People Choose

This article is part of Decision-Useful Implementation Science, an ongoing series exploring what implementation research actually tells us about putting evidence into practice. Using large-scale text analysis, natural language processing, and bibliometric methods, the project examines nearly 1.5 million PubMed-indexed publications from 1980 to 2025. Rather than reviewing individual studies, the series steps back to […]

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Implementation

How Power Dynamics Shape Public Health Interventions

In an urban health clinic, a local public health worker faces a dilemma: whether to implement evidence-based interventions (EBIs) designed to improve health outcomes. While the evidence is strong, the worker knows that without addressing the deeper power dynamics at play in the community, success will remain elusive. Time and again, it feels as though […]

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Commentary

We Keep Studying Barriers. Why Doesn’t Implementation Get Easier?

Implementation science has become remarkably good at describing why change is difficult. Over the past four decades, researchers have interviewed clinicians, observed organizations, synthesized evidence, developed implementation frameworks, and published hundreds of thousands of papers documenting the obstacles to putting evidence into practice. Leadership matters. Resources matter. Organizational culture matters. Training, workflow, stakeholder engagement, incentives, […]

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Implementation

The Power of the Implementation Research Logic Model

In a bustling community health center, Miriam, a program director, considers how to best implement a new evidence-based practice. The team is excited about the potential for this innovation to improve health outcomes, but uncertainties loom large. How can they ensure the new practice thrives beyond the initial rollout phase? This challenge highlights a vital […]

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Implementation

A New Framework for Transforming AI and Implementation Science

Picture this: A public health team is drowning in data, trying to determine the most effective way to implement a life-saving intervention in a resource-constrained setting. As the information piles up, decisions become muddled, and time is running short. Enter Artificial Intelligence (AI), offering a potential lifeline to sift through the deluge of data efficiently. […]

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Commentary

Why “Barriers and Facilitators” Is Not Enough in Public Health

In public health, we love to ask a very, very familiar question: What are the barriers and facilitators? It is a useful question. It helps us listen. It helps us organize what people are experiencing. It gives researchers, evaluators, and program leaders a way to summarize messy real-world conditions. When a new program struggles, we […]

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