64 papers
Using 2023 People's Voice Survey data, this paper reveals that while health insurance in Nigeria significantly improves access to care and preventive services, coverage remains critically low at 2% and is disproportionately concentrated among socioeconomically advantaged groups, failing to reach the broader population needed to address systemic health funding challenges.
To bridge the critical know-do gap in newborn health, this paper describes the co-design, operationalization, and global scaling of the Newborn Toolkit—a web platform and community of practice that organizes over 1,100 evidence-based resources across 15 languages to facilitate the implementation of Small and Sick Newborn Care in low-resource settings.
This study demonstrates the value of prospectively applying the CFIR 2.0 framework during the development phase of a handheld ultrasound device for congenital heart disease screening in low-resource settings, identifying key facilitators and barriers to guide design decisions that enhance future implementation success.
This cross-sectional study conducted in northwestern Tanzania reveals that 83.2% of sexually active youth utilize family planning methods, with gender and peer influence identified as significant factors associated with their usage.
This matched cohort study demonstrates that a structured Specialty Care model, characterized by clinician specialization, flexible treatment density, and coordinated navigation, is associated with accelerated PTSD recovery and higher recovery rates compared to standard outpatient care among U.S. adults.
This qualitative study across five countries evaluates the feasibility and acceptability of outsourcing medical oxygen services to private providers, finding that while the "oxygen to the bedside" model shows promise for improving access, its long-term sustainability depends on tailoring solutions to local facility needs and ensuring affordability.
This qualitative study of family medicine registrars at Kamuzu University of Health Sciences reveals that while they demonstrate strong clinical leadership and interpersonal skills, their effectiveness is hindered by unclear role boundaries, insufficient mentorship, and limited involvement in decision-making, highlighting the need for targeted improvements in their leadership training.
This study validates the Index of Myalgic Encephalomyelitis Symptoms (TIMES) as a valid, reliable, and sensitive assessment tool for measuring symptom severity in ME/CFS patients, demonstrating strong criterion-related and discriminant validity, excellent test-retest reliability, and a defined minimal detectable difference.
Through a two-round modified Delphi study involving 21 international healthcare experts, this research establishes a consensus-based framework defining the purposes, key functions, and feasibility of a global Patient Safety Learning System, while generating novel criteria for identifying incidents of international concern to guide future implementation by organizations like the WHO.
This paper demonstrates that algorithmic recourse in healthcare and administrative systems is hindered by synergistic, multi-stage barriers across data and institutional layers, where single interventions yield negligible improvements and effective reform requires coordinated, multi-layer strategies.
This paper warns that widely used clinical prediction models based on two popular Kaggle datasets lack verifiable data provenance and appear to be fabricated, leading to potentially unreliable research and clinical applications, and calls for mandatory data provenance reporting to safeguard patient care.
This retrospective cohort study of 393 patients in the Brazilian Amazon reveals that the high mortality rate (48.5%) from acute lymphoblastic leukemia is primarily driven by age-related vulnerability and structural health system barriers, such as the centralization of specialized services, rather than baseline sociodemographic characteristics.
This study benchmarks 16 large language models on their ability to correct erroneous physician diagnoses in high-stakes scenarios, revealing that while top performers like Gemini 2.5 Pro can intercept roughly half of such errors, significant limitations including disease-specific gaps, confirmation bias, and sensitivity to non-clinical demographic tokens currently hinder their safe integration as standalone diagnostic safety nets.
A mixed-methods assessment of "Outsourced Oxygen to the Bedside" pilots across five countries reveals that private provider models significantly improved the functionality of oxygen equipment and healthcare worker knowledge, though successful implementation requires better local tailoring and capacity building to address remaining service gaps.
A cross-sectional assessment of 332 public health facilities in India reveals a critical mismatch where diagnostic availability for most Neglected Tropical Diseases remains low and poorly aligned with local disease burden, particularly at peripheral primary care levels, despite high programmatic prioritization for malaria.
This study describes the development and psychometric validation of the Index of Myalgic Encephalomyelitis Symptoms (TIMES), demonstrating through Rasch analysis that the revised tool provides a stable and valid assessment of symptom frequency and severity across neurological and autonomic domains in patients with ME/CFS.
This qualitative study evaluates a Hospital Medicine Advanced Practice Provider (APP)-led care model implemented during the pandemic, identifying experienced staff and evolving acceptance as strengths while highlighting the need for expanded guidelines, cultural change, intentional collaboration, and standardized onboarding to optimize future implementation.
This study presents a topology-aware, graph-augmented retrieval framework that enhances digital evidence-based medical synthesis by integrating mechanistic axis decomposition and graph auditing to improve the precision, traceability, and causal coherence of biomedical narrative generation beyond traditional similarity-driven methods.
This study analyzes SDOH screening data from 1.8 million patients to demonstrate methods for identifying redundant questions and demographic biases, offering strategies to streamline clinical workflows and ensure more equitable data collection.
This study reveals that while disease progression is the primary cause of unplanned inflammatory bowel disease (IBD) admissions, clinicians identify significant systemic failures—including missed outpatient opportunities, specialist delays, and resource constraints—as key drivers of avoidable hospitalizations, underscoring the urgent need for investment in rapid-access pathways and service integration.