This study assesses the association and interaction of county-level social vulnerability index with patient-level race/ethnicity compared with the probability of undergoing resection/transplant for early-stage hepatocellular carcinoma.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758820PMC
http://dx.doi.org/10.1001/jamasurg.2020.5554DOI Listing

Publication Analysis

Top Keywords

vulnerability patient-level
8
patient-level race/ethnicity
8
early-stage hepatocellular
8
hepatocellular carcinoma
8
association county-level
4
county-level vulnerability
4
race/ethnicity receipt
4
receipt surgery
4
surgery early-stage
4
carcinoma study
4

Similar Publications

Introduction: Oral targeted therapies are a standard of care for men with advanced prostate cancer. However, these therapies are expensive, which may be a barrier to some, particularly the most economically disadvantaged. Through investment in programs to assist this population, savings generated from the 340B program have the potential to mitigate barriers to initiating treatment with targeted therapies in these men.

View Article and Find Full Text PDF

Background: Malnutrition and HIV interact in a vicious cycle for HIV-exposed infants (HEIs), increasing vulnerability and the severity of each condition and contributing to poor health outcomes. We identified multi-level factors influencing provider adherence to Kenyan HIV and nutrition guidelines for HEIs.

Methods: We conducted six focus group discussions and seven in-depth interviews using a semi-structured question guide.

View Article and Find Full Text PDF

Background: The prevalence of Post Traumatic Stress Disorder (PTSD) has been rising since the start of the COVID-19 pandemic, and affects females, sexual and gender minorities, and individuals with social risks at higher rates.

Objective: This study examines if the prevalence of PTSD increased from 2019 to 2022 among patients who received care in a national network of safety-net, community-based health centers with integrated behavioral health programs that serve patients at high risk for PTSD.

Methods: We analyzed electronic health record data from patients with 1 or more behavioral health visits during 2019 to 2022 using repeated cross-sectional data to visualize trends.

View Article and Find Full Text PDF

Background: Analyzing patients' nonattendance at medical appointments helps address an issue impacting the management and sustainability of health systems globally, providing valuable insights for healthcare managers. This study aims to identify factors at both patient and health system levels that contribute to understanding missed appointments.

Methods: The analysis was conducted using data from secondary care consultations within the Brazilian Unified Health System between April 2018 and March 2020.

View Article and Find Full Text PDF

We sought to develop and validate a machine learning (ML) model for predicting multidimensional frailty based on clinical and laboratory data. Moreover, an explainable ML model utilizing SHapley Additive exPlanations (SHAP) was constructed. This study enrolled 622 patients hospitalized due to decompensating episodes at a tertiary hospital.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!