TY - JOUR
T1 - Engraft
T2 - A Collaborative Learning Health Network for Enhanced Transplant and Cellular Therapy Outcomes
AU - Dandoy, Christopher E.
AU - Auletta, Jeffery J.
AU - Badia, Priscila
AU - Bidgoli, Alan
AU - Daraiseh, Nancy M.
AU - DeSalvo, Anna M.
AU - Diaz, Javier
AU - Davies, Stella M.
AU - Demmel, Kathleen
AU - Cook, Eleanor
AU - Craddock, John A.
AU - Huber, John
AU - Sampson, Megan
AU - Fitch, Taylor J.
AU - French, Karis
AU - Jodele, Sonata
AU - Jaglowski, Samantha M.
AU - Kapadia, Malika A.
AU - Khera, Nandita
AU - Kent, Georgia R.
AU - Leung, Kathryn S.
AU - Lehmann, Leslie E.
AU - Liang, Wayne H.
AU - Maier, Steffani
AU - Nelson, Adam
AU - Nishitani, Miki
AU - O'Mathúna, Dónal
AU - Johnson, Darren J.
AU - Magee, Kathleen
AU - Pai, Ahna
AU - Parker, Loretta M.
AU - Phelan, Rachel
AU - Epling, Preston
AU - Rotz, Seth
AU - Salem, Baheyeldin M.
AU - Snyder, Alana
AU - Juckett, Mark
AU - Hartley, David
N1 - Publisher Copyright:
© 2024 The American Society for Transplantation and Cellular Therapy
PY - 2025/3
Y1 - 2025/3
N2 - The Engraft Learning Health Network (LHN) aims to improve outcomes for patients undergoing transplant and cellular therapy (TCT) through a collaborative, data-driven approach. Engraft brings together diverse stakeholders, including clinicians, patients, caregivers, and institutions, to standardize best practices and accelerate the dissemination of innovations in TCT care. By establishing a multicenter, real-world clinical registry focused on rapid-cycle quality improvement (QI) and implementation research, Engraft seeks to reduce variability in clinical practice to improve TCT outcomes across centers. Initial efforts have centered on developing QI toolkits, sharing de-identified patient data, and building consensus around best practices to reduce non-relapse mortality and improve survivorship. A distinctive feature of Engraft is its commitment to engaging patients and caregivers as equal partners in the network's direction. This manuscript outlines the network's design, early successes, and future goals.
AB - The Engraft Learning Health Network (LHN) aims to improve outcomes for patients undergoing transplant and cellular therapy (TCT) through a collaborative, data-driven approach. Engraft brings together diverse stakeholders, including clinicians, patients, caregivers, and institutions, to standardize best practices and accelerate the dissemination of innovations in TCT care. By establishing a multicenter, real-world clinical registry focused on rapid-cycle quality improvement (QI) and implementation research, Engraft seeks to reduce variability in clinical practice to improve TCT outcomes across centers. Initial efforts have centered on developing QI toolkits, sharing de-identified patient data, and building consensus around best practices to reduce non-relapse mortality and improve survivorship. A distinctive feature of Engraft is its commitment to engaging patients and caregivers as equal partners in the network's direction. This manuscript outlines the network's design, early successes, and future goals.
KW - Hematopoietic stem cell transplant
KW - Immune effector cell therapy
KW - Implementation science
KW - Learning health network
KW - Non-relapse mortality
KW - Quality improvement
UR - https://www.scopus.com/pages/publications/85215570190
UR - https://www.scopus.com/pages/publications/85215570190#tab=citedBy
U2 - 10.1016/j.jtct.2024.12.017
DO - 10.1016/j.jtct.2024.12.017
M3 - Comment/debate
C2 - 39743208
AN - SCOPUS:85215570190
SN - 2666-6375
VL - 31
SP - 123
EP - 134
JO - Transplantation and Cellular Therapy
JF - Transplantation and Cellular Therapy
IS - 3
ER -