• Filter By:
• Specialty
• Source
• Condition
• Cancer
• Infectious Disease
• Drug
• Training
• Management
• Procedure
• Therapy
• Vaccine
• Nutrition
• Country

The U.S. Still Doesn ’ t Have Good COVID-19 Data. Here ’ s Why That ’ s a Problem
Check the COVID-19 Data Tracker from the U.S. Centers for Disease Control and Prevention (CDC), and you’ll get a rundown of the latest case numbers, hospitalizations, and deaths. Those categories might seem straightforward, but the data, say many experts, are telling us a lot less than we think they are. That’s because it’s getting increasingly difficult to parse who is hospitalized or dies from COVID-19, and who is hospitalized or dies from another reason but with COVID-19. Across the U.S., “COVID-19 hospitalizations” represent all kinds of patients: those who need hospital-level care for sev...
Source: TIME: Health - January 30, 2023 Category: Consumer Health News Authors: Alice Park Tags: Uncategorized COVID-19 healthscienceclimate Source Type: news

What Sub-Saharan African Nations Can Teach the U.S. About Black Maternal Health
While poor maternal outcomes among Black women in the U.S. is not new, improving it is imperative. U.S. policymakers can look to sub-Saharan Africa for guidance on reversing this trend. Credit: Ernest Ankomah/IPSBy Ifeanyi NsoforABUJA, Jun 2 2023 (IPS) New research shows that Black mothers in the United States disproportionately live in counties with higher maternal vulnerability and face greater risk of preterm death for the fetus, greater risk of low birth weight for a baby, and a higher number of maternal deaths. While poor maternal outcomes among Black women in the U.S. is not new, improving it is imperative. U.S. poli...
Source: IPS Inter Press Service - Health - June 2, 2023 Category: International Medicine & Public Health Authors: Ifeanyi Nsofor Tags: Africa Gender Headlines Health Inequality North America Poverty & SDGs Maternal Health Source Type: news

Cardiovascular disease (CVD) outcomes and associated risk factors in a medicare population without prior CVD history: an analysis using statistical and machine learning algorithms
AbstractThere is limited information on predicting incident cardiovascular outcomes among high- to very high-risk populations such as the elderly ( ≥ 65 years) in the absence of prior cardiovascular disease and the presence of non-cardiovascular multi-morbidity. We hypothesized that statistical/machine learning modeling can improve risk prediction, thus helping inform care management strategies. We defined a population from the Medicare he alth plan, a US government-funded program mostly for the elderly and varied levels of non-cardiovascular multi-morbidity. Participants were screened for cardiovascular disease (CVD)...
Source: Internal and Emergency Medicine - June 9, 2023 Category: Emergency Medicine Source Type: research

Pages: 1  2  3