Designing a robust evaluation of health service innovation : an observational study comparing the outcomes of patients referred to integrated care teams with a retrospectively matched control group /

Using our evaluation of a health care intervention as a case study, we discuss some of the study design choices we made. We explain the statistical issue of regression to the mean and show, with a practical example, why a before-and-after analysis can give misleading results. We introduce the concep...

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Bibliographic Details
Main Authors:	Lloyd, Therese (Author), Wolters, Arne T. (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications Ltd, 2020.
Series:	SAGE Research Methods Cases : Medicine and Health.
Subjects:	Outcome assessment (Medical care) > Case studies. Multivariate analysis > Case studies. Évaluation des résultats (Soins médicaux) > Études de cas. Analyse multivariée > Études de cas. Multivariate analysis. Outcome assessment (Medical care) Case studies.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	Using our evaluation of a health care intervention as a case study, we discuss some of the study design choices we made. We explain the statistical issue of regression to the mean and show, with a practical example, why a before-and-after analysis can give misleading results. We introduce the concept of a counterfactual analysis as a more robust methodology and describe how we selected a similar, matched control group and compared their outcomes with those of the intervention group using multivariable regression. We discuss the limitations of our study design, in particular the risk of unobserved confounding, and how we took these limitations into account when drawing conclusions from our results.
Physical Description:	1 online resource : illustrations.
Bibliography:	Includes bibliographical references and index.
ISBN:	9781529734898 1529734894