TY - JOUR
T1 - Health Services Research in Anesthesia
T2 - A Brief Overview of Common Methodologies
AU - Illescas, Alex
AU - Zhong, Haoyan
AU - Cozowicz, Crispiana
AU - Gonzalez Della Valle, Alejandro
AU - Liu, Jiabin
AU - Memtsoudis, Stavros G.
AU - Poeran, Jashvant
N1 - Publisher Copyright:
© 2022 Lippincott Williams and Wilkins. All rights reserved.
PY - 2022/3/1
Y1 - 2022/3/1
N2 - The use of large data sources such as registries and claims-based data sets to perform health services research in anesthesia has increased considerably, ultimately informing clinical decisions, supporting evaluation of policy or intervention changes, and guiding further research. These observational data sources come with limitations that must be addressed to effectively examine all aspects of health care services and generate new individual- and population-level knowledge. Several statistical methods are growing in popularity to address these limitations, with the goal of mitigating confounding and other biases. In this article, we provide a brief overview of common statistical methods used in health services research when using observational data sources, guidance on their interpretation, and examples of how they have been applied to anesthesia-related health services research. Methods described involve regression, propensity scoring, instrumental variables, difference-in-differences, interrupted time series, and machine learning.
AB - The use of large data sources such as registries and claims-based data sets to perform health services research in anesthesia has increased considerably, ultimately informing clinical decisions, supporting evaluation of policy or intervention changes, and guiding further research. These observational data sources come with limitations that must be addressed to effectively examine all aspects of health care services and generate new individual- and population-level knowledge. Several statistical methods are growing in popularity to address these limitations, with the goal of mitigating confounding and other biases. In this article, we provide a brief overview of common statistical methods used in health services research when using observational data sources, guidance on their interpretation, and examples of how they have been applied to anesthesia-related health services research. Methods described involve regression, propensity scoring, instrumental variables, difference-in-differences, interrupted time series, and machine learning.
UR - http://www.scopus.com/inward/record.url?scp=85124930248&partnerID=8YFLogxK
U2 - 10.1213/ANE.0000000000005884
DO - 10.1213/ANE.0000000000005884
M3 - Review article
C2 - 35180171
AN - SCOPUS:85124930248
SN - 0003-2999
VL - 134
SP - 540
EP - 547
JO - Anesthesia and Analgesia
JF - Anesthesia and Analgesia
IS - 3
ER -