Evidence-Based Health Care Management: Multivariate Modeling ApproachesEvidence-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. |
Contents
AN INTRODUCTION TO EVIDENCEBASED MANAGEMENT OF HEALTH CARE | 3 |
CAUSAL INFERENCE FOUNDATIONS FOR HEALTH CARE MANAGERIAL DECISIONMAKING | 11 |
RESEARCH ON HEALTH SERVICES MANAGEMENT THE SEARCH FOR STRUCTURE | 35 |
EXPLORATORY ANALYTICAL MODELING METHODS | 49 |
INTRODUCTION TO STRUCTURAL EQUATION MODELING | 73 |
CONFIRMATORY FACTOR ANALYSIS | 91 |
STRUCTURAL EQUATIONS FOR DIRECTLY OBSERVED VARIABLES RECURSIVE AND NONRECURSIVE MODELS | 121 |
STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES | 139 |
Other editions - View all
Evidence-Based Health Care Management: Multivariate Modeling Approaches Thomas T.H. Wan Limited preview - 2012 |
Evidence-Based Health Care Management: Multivariate Modeling Approaches Thomas T.H. Wan No preview available - 2012 |
Common terms and phrases
Adverse outcomes adverse patient outcomes Analytic Model assessment BEDSIZE CASEMIX causal model chapter clinical common factor confirmatory factor analysis Covariance Structure Model data mining data warehouse data warehousing dependent variable effects efficiency endogenous variables evaluation evidence-based examine example exogenous exogenous latent variables exploratory Figure functioning growth curve modeling growth models health care management health services management Health Services Research health status hospital mortality hospital performance hypothesis informatic integration intervention Jöreskog knowledge management latent construct latent variables linear logistic regression managerial measurement model Medical methods model fit Model of Hospital Model of Patient Mplus multilevel Multilevel Modeling Muthén nursing unit observed variables occupancy rates organizational organizations outcome variables path analysis path coefficient patient satisfaction predictor variables principal component analysis revised model RN ratios sample social specific statistically significant structural equation model study variables Table theoretical framework unique factors validated variance vector X₁ Y₁
References to this book
Reorganizing Health Care Delivery Systems: Problems of Managed Care and ... Jennie J. Kronenfeld No preview available - 2003 |