Background Artificial intelligence (AI), including machine learning, natural language processing, and large language models, may support implementation practice and research in tasks such as evidence ...

Background Understanding how implementation strategies work is vitally important for the deployment of evidence-based practices (EPBs) in healthcare settings. Specifically, mechanistic inquiry provide...

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Developmental scientists and medical social science experts at Northwestern University have spearheaded the creation of the most recent National Institute of Health Toolbox. This provides the newest n...

Implementation science aims to improve healthcare by validating effective interventions

Background Reducing HIV incidence requires the effective implementation of evidence-based prevention practices. In Chicago, HIV disproportionately impacts sexual minority men (SMM). Long-acting inject...

Adherence and retention in care are key targets to achieve favorable health outcomes for people with HIV. Challenges with adherence and retention are pronounced for marginalized communities facing int...

This quality improvement study evaluates whether implementing the Zero Suicide model in outpatient mental health care is associated with lower suicide attempt rates among individuals aged 13 years or ...

This survey of diverse RW-funded clinics shows high uptake of R-ART and significant if less consistent uptake of R-PrEP and status neutral. Future research should focus on identifying broadly implemen...

Background Hypocalcemia following severe injury is common. Current institution-specific guidelines recommend calcium (Ca++) supplementation during blood product resuscitation. We hypothesize that a ...

Data from our stress less series builds on evidence that a few key skills can improve feelings of well-being, optimism and self-efficacy

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Background Studies have demonstrated that standardizing labor induction (IOL), often with the use of protocols, may reduce racial inequities in obstetrics. IOL protocols are complex, multi-component i...

Background: Therapists and their patients increasingly discuss digital data from social media, smartphone sensors, and other online engagement within the context of psychotherapy. Objective: We examin...

Translating medical research findings from the research laboratory into patient care, otherwise known as from “bench to bedside,” is far more complex than it sounds, but is imperative to improve human...

Background Familial hypercholesterolemia (FH) is an autosomal dominant genetic condition that carries increased risk for premature atherosclerotic cardiovascular disease, cardiovascular events, and de...

Northwestern University Feinberg School of Medicine has established the Center for Computational and Social Sciences in Health (COMPASS), which aims to foster connection and bridge data science, socia...

Through counseling and advocacy, primary care providers can play an important role in preventing firearm injury, according to experts.Primary care providers often “find themselves on the frontli...