Evidence-Based Health Care Management introduces the principles and
methods for drawing sound causal inferences in research on health
services management. The emphasis is on the application of
structural equation modeling techniques and other analytical
methods to develop causal models in health care management. Topics
include causality, theoretical model building, and model
verification. Multivariate modeling approaches and their
applications in health care management are illustrated. The primary
goals of the book are to present advanced principles of health
services management research and to familiarize students with the
multivariate analytic methods and procedures now in use in
scientific research on health care management. The hope is to help
health care managers become better equipped to use causal modeling
techniques for problem solving and decision making. Evidence-based
knowledge is derived from scientific replication and verification
of facts. Used consistently and appropriately, it enables a health
care manager to improve organizational performance. Causal
inference in health care management is a highly feasible approach
to establishing evidence-based knowledge that can help navigate an
organization to high performance. This book introduces the
principles and methods for drawing causal inferences in research on
health services management.
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