Thinking Critically: Interpreting Randomized Clinical Trials

مقدمة من

شعار المنصة
متاح الآن إلى 2027-03-25
2.50 ساعة تعليمية
متقدم
اللغة :
الإنجليزية
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نبذة عن المقرر

Overview

Internet Enduring Material Sponsored by the Stanford University School of Medicine. Presented by the Department of Health Research and Policy (Division of Epidemiology) at Stanford University School of Medicine

This course seeks to fulfill the clinical community’s need to improve skills in the critical evaluation of clinical research papers. Competency in critical appraisal skills can have a significant impact by improving clinical practice, quality of research projects, and peer-review of manuscripts and grants. The course will utilize efficient and engaging videos with relevant clinical examples to cover essential research methodology principles. The online format will provide opportunities for self-paced learning and practicing critical appraisal of a variety of published studies that evaluate benefit, harm, and prognosis.

Accreditation

In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

Credit Designation
American Medical Association (AMA)

The Stanford University School of Medicine designates this enduring material for a maximum of 2.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

If you would like to earn CME credit from Stanford University School of Medicine for participating in this course, please review the information here prior to beginning the activity.

المدربين

Steven Goodman
Steven Goodman

Steven Goodman, MD, MHS, PhD is Associate Dean of Clinical and Translational Research and Professor of Epidemiology and Population Health, and Medicine. He has extensively contributed to statistics and probability analysis within the biosciences, and in 1999 he coined the term "p-value fallacy".

Rita Popat
Rita Popat

Rita Popat, PhD is a Clinical Associate Professor in the Department of Health Research and Policy and Co-Director of Stanford's CTSA/Spectrum training programs in medical research methods. She has a PhD in epidemiology and also holds masters degrees in biostatistics and physical therapy. She has taught research methodology and data analysis courses at Stanford for more than a decade and has received several Excellence in Teaching and Mentoring Awards from the graduate program in epidemiology and Stanford Medical School.

Dr. Popat specializes in teaching and mentoring medical and allied health professionals. She has a strong interest in developing curricula and implementing new instruction models and recently developed a blended course in epidemiology and biostatistics for Stanford medical students. She is also interested in neurodegenerative diseases and studies the role of genetic and environmental factors in Parkinson’s disease and amyotrophic lateral sclerosis.

Sarah Osmundson
Sarah Osmundson

Sarah Osmundson, MD, is a Clinical Assistant Professor in the Department of Obstetrics & Gynecology-Maternal Fetal Medicine at Stanford University School of Medicine. She has taught in the Master’s Degree Program in Health Services Research at Stanford, training students in the quantitative analysis of issues in health and medical care. Her clinical focus is on gestational diabetes, pregnancy-induced diabetes, nutrition during pregnancy and obstetrics and gynecology. She has published articles in peer-reviewed journals on pregnancy, labor and retrospective trials.

Raymond Deng
Raymond Deng

Raymond Deng is a current third year medical student at Stanford School of Medicine. Prior to his medical studies, Raymond graduated from the Harvard School of Public Health with a MS in Health Policy, focused on quantitative methods. He is passionate about research methods in health services research, particularly relating to opioid use and insurance.