TY - JOUR
T1 - Observational research in epidemic settings
T2 - a roadmap to reform
AU - Ricotta, Emily E.
AU - Bustos Carrillo, Fausto A.
AU - Angelli-Nichols, Samuel
AU - Barugahare, John
AU - Benton, Adia
AU - Carlson, Colin J.
AU - Chang-Rabley, Emma
AU - Dean, Natalie E.
AU - Duda, Stephany N.
AU - Federer, Lisa
AU - Fill, Mary Margaret A.
AU - LeRoy, Elizabeth C.
AU - Linton, Natalie M.
AU - Lipsitch, Marc
AU - Mathur, Maya B.
AU - Phelan, Alexandra L.
AU - Rid, Annette
AU - Rosen, Jennifer B.
AU - Sauer, Lauren
AU - Sullivan, Sheena G.
AU - Zendt, Mackenzie
AU - Evans, Nicholas
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2025.
PY - 2025/2
Y1 - 2025/2
N2 - Observational studies are critical tools in clinical research and public health response, but challenges arise in ensuring the data produced by these studies are scientifically robust and socially valuable. Resolving these challenges requires careful attention to prioritising the most valuable research questions, ensuring robust study design, strong data management practices, expansive community engagement, and access and benefit sharing of results and research materials. This paper opens with a discussion of how well-designed observational studies contribute to biomedical evidence and provides examples from across the clinical literature of how these methods generate hypotheses for future research and uncover otherwise unattainable insights by providing examples from across the clinical literature. Then, we present obstacles that remain in ensuring observational studies are optimally designed, conducted and communicated.
AB - Observational studies are critical tools in clinical research and public health response, but challenges arise in ensuring the data produced by these studies are scientifically robust and socially valuable. Resolving these challenges requires careful attention to prioritising the most valuable research questions, ensuring robust study design, strong data management practices, expansive community engagement, and access and benefit sharing of results and research materials. This paper opens with a discussion of how well-designed observational studies contribute to biomedical evidence and provides examples from across the clinical literature of how these methods generate hypotheses for future research and uncover otherwise unattainable insights by providing examples from across the clinical literature. Then, we present obstacles that remain in ensuring observational studies are optimally designed, conducted and communicated.
UR - http://www.scopus.com/inward/record.url?scp=105010546901&partnerID=8YFLogxK
U2 - 10.1136/BMJGH-2024-017981
DO - 10.1136/BMJGH-2024-017981
M3 - Article
AN - SCOPUS:105010546901
SN - 2059-7908
VL - 10
JO - BMJ Global Health
JF - BMJ Global Health
IS - 2
M1 - e017981
ER -