Using Design Thinking to Differentiate Useful From Misleading Evidence in Observational Research

التفاصيل البيبلوغرافية
العنوان: Using Design Thinking to Differentiate Useful From Misleading Evidence in Observational Research
المؤلفون: Steven N. Goodman, Sebastian Schneeweiss, Michael Baiocchi
المصدر: JAMA. 317:705
بيانات النشر: American Medical Association (AMA), 2017.
سنة النشر: 2017
مصطلحات موضوعية: Research design, medicine.medical_specialty, Actuarial science, business.industry, Research, Big data, Alternative medicine, MEDLINE, Design thinking, General Medicine, 030204 cardiovascular system & hematology, law.invention, Thinking, 03 medical and health sciences, 0302 clinical medicine, Randomized controlled trial, Research Design, law, Medicine, Generalizability theory, Observational study, 030212 general & internal medicine, business
الوصف: Few issues can be more important to physicians or patients than that treatment decisions are based on reliable information about benefits and harms. While randomized clinical trials (RCTs) are generally regarded as the most valid source of evidence about benefits and some harms, concerns about their generalizability, costs, and heterogeneity of treatment effects have led to the search for other sources of information to augment or possibly replace trials. This is embodied in the recently passed 21st Century Cures Act, which mandates that the US Food and Drug Administration develop rules for the use of “real world evidence” in drug approval, defined as “data…derived from sources other than randomized clinical trials.”1 A second push toward the use of nontrial evidence is based on the perception that the torrent of electronic health-related data—medical record, genomic, and lifestyle (ie, “Big Data”)—can be transformed into reliable evidence with the use of powerful modern analytic tools
تدمد: 0098-7484
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01caa91ee7fc65a2186cdaeb10c501ecTest
https://doi.org/10.1001/jama.2016.19970Test
رقم الانضمام: edsair.doi.dedup.....01caa91ee7fc65a2186cdaeb10c501ec
قاعدة البيانات: OpenAIRE