TY - JOUR
T1 - Introduction to target trial emulation in rehabilitation
T2 - a systematic approach to emulate a randomized controlled trial using observational data
AU - Côté, Pierre
AU - Negrini, Stefano
AU - Donzelli, Sabrina
AU - Kiekens, Carlotte
AU - Arienti, Chiara
AU - Ceravolo, Maria G.
AU - Gross, Douglas P.
AU - Battel, Irene
AU - Ferriero, Giorgio
AU - Lazzarini, Stefano G.
AU - Dan, Bernard
AU - Shearer, Heather M.
AU - Wong, Jessica J.
AU - Colvin, Christopher
AU - Cordani, Claudio
AU - Cusick, Anne
AU - Del Furia, Matteo J.
AU - Everyry-Palmer, Susanna
AU - Feys, Peter
AU - Gutenbrunner, Christoph
AU - Juhl, Carsten B.
AU - Levack, William M.
AU - MacHalicek, Wendy
AU - Martiartin, Rachelle
AU - Merlo, Federico
AU - Meyer-Feil, Thorsten
AU - Miranda, Luca
AU - Mosconi, Bianca
AU - Nudo, Randolph
AU - Oral, Aydan
AU - Røe, Cecilie
N1 - Publisher Copyright:
© 2024 THE AUTHORS.
PY - 2024/2
Y1 - 2024/2
N2 - Rehabilitation providers and policymakers need valid evidence to make informed decisions about the healthcare needs of the population. Whenever possible, these decisions should be informed by randomized controlled trials (RCTs). However, there are circumstances when evidence needs to be generated rapidly, or when RCTs are not ethical or feasible. These situations apply to studying the effects of complex interventions, including rehabilitation as defined by Cochrane Rehabilitation. Therefore, we explore using the target trial emulation framework by Hernán and colleagues to obtain valid estimates of the causal effects of rehabilitation when RCTs cannot be conducted. Target trial emulation is a framework guiding the design and analysis of non-randomized comparative effectiveness studies using observational data, by emulating a hypothetical RCT. In the context of rehabilitation, we outline steps for applying the target trial emulation framework using real world data, highlighting methodological considerations, limitations, potential mitigating strategies, and causal inference and counterfactual theory as foundational principles to estimating causal effects. Overall, we aim to strengthen methodological approaches used to estimate causal effects of rehabilitation when RCTs cannot be conducted.
AB - Rehabilitation providers and policymakers need valid evidence to make informed decisions about the healthcare needs of the population. Whenever possible, these decisions should be informed by randomized controlled trials (RCTs). However, there are circumstances when evidence needs to be generated rapidly, or when RCTs are not ethical or feasible. These situations apply to studying the effects of complex interventions, including rehabilitation as defined by Cochrane Rehabilitation. Therefore, we explore using the target trial emulation framework by Hernán and colleagues to obtain valid estimates of the causal effects of rehabilitation when RCTs cannot be conducted. Target trial emulation is a framework guiding the design and analysis of non-randomized comparative effectiveness studies using observational data, by emulating a hypothetical RCT. In the context of rehabilitation, we outline steps for applying the target trial emulation framework using real world data, highlighting methodological considerations, limitations, potential mitigating strategies, and causal inference and counterfactual theory as foundational principles to estimating causal effects. Overall, we aim to strengthen methodological approaches used to estimate causal effects of rehabilitation when RCTs cannot be conducted.
KW - Cohort studies
KW - Comparative effectiveness research
KW - Observational study
KW - Randomized controlled trial
KW - Rehabilitation
UR - http://www.scopus.com/inward/record.url?scp=85186741825&partnerID=8YFLogxK
U2 - 10.23736/S1973-9087.24.08435-1
DO - 10.23736/S1973-9087.24.08435-1
M3 - Article
C2 - 38420907
AN - SCOPUS:85186741825
SN - 1973-9087
VL - 60
SP - 145
EP - 153
JO - European Journal of Physical and Rehabilitation Medicine
JF - European Journal of Physical and Rehabilitation Medicine
IS - 1
ER -