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Category: analytics

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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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Analytics

The End of Childhood? Why the World Is Running Out of Children

What Happens When Children Become a Minority? For nearly all of human history, societies have been built around children. That assumption is quietly disappearing. Across parts of Japan, elementary schools are closing because there are no longer enough children to fill their classrooms. Some former schools have been converted into community centers, apartment complexes, or […]

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Analytics

When Everything Is a Barrier, Nothing Is

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

Why Completeness in EHRs Isn’t Just About Data Presence

Imagine a community health clinic bustling with activity. Patient records are logged into electronic health systems, yet the clinic director faces a persistent question: Are these electronic health records (EHRs) truly complete and reliable for research and decision-making? This uncertainty is more common than you might think, echoing through health systems globally. The Public Health […]

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AI

Balancing Transparency and Privacy in Healthcare Data

In a bustling urban hospital, a young doctor reviews an electronic health record (EHR) before stepping into a patient’s room. Unbeknownst to him, the data in that record could soon enter the marketplace, where it would be traded and analyzed by parties far removed from patient care. The commodification of health data presents a unique […]

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Analytics

Why Your Statistical Model Might Be Misleading You (And What Public Health Practitioners Should Do About It)

Public health decisions depend on data. But what if the way we analyze that data is quietly leading us in the wrong direction? A recent commentary highlights a surprisingly common issue in public health research: many studies use the wrong statistical models—or interpret them incorrectly—when working with simple yes/no outcomes like depression, substance use, or […]

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Analytics

 Why Medical Bills Turn Into Financial Crises in America

Healthcare in the United States offers some of the most advanced medical treatments in the world. Yet it also comes with one of the highest price tags. This reality leads many Americans to ask an important question: What is medical debt in the USA? Medical debt refers to money owed for healthcare services that individuals […]

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Analytics

Medical Debt Isn’t Equal

New Data Shows Where Racial Disparities Hit Hardest in the U.S Medical debt is one of the most widespread and least understood forms of financial hardship in the United States. Even insured Americans frequently face unexpected medical bills, and millions of households carry healthcare-related debt in collections. But one question remains critically important for public […]

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Analytics

Mapping High Social Vulnerability, Rural Poverty, and Healthcare Organizations

If you want to understand American healthcare, don’t start with hospital rankings. Start with geography. We analyzed 4,523 non-profit healthcare organizations operating across 1,508 U.S. counties. For each county, we examined three structural markers: the CDC’s Social Vulnerability Index (SVI), rural classification, and the presence of high-poverty census tracts. The goal was simple. Are healthcare […]

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Analytics

Most COVID-19 Tweets Linked to Low-Quality Info

March 2020: the world was locking down, and millions of people opened Twitter for answers. What they found was a storm—data dashboards, rumors, home remedies, and official updates jumbled together. Amid that digital noise, how many sources were actually credible? A new study from Concordia University’s Rozita Haghighi and Mohsen Farhadloo answers that question with […]

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