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Effects of expanding health screening on treatment – What should we expect? What can we learn?

Rebecca Myerson (), Darius Lakdawalla, Lisandro D. Colantonio (), Monika Safford () and David Meltzer ()
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Lisandro D. Colantonio: The University of Alabama at Birmingham
Monika Safford: Weill Cornell Medical College
David Meltzer: The University of Chicago

No 2018-014, Working Papers from Human Capital and Economic Opportunity Working Group

Abstract: Screening interventions can produce very different treatment outcomes, depending on the reasons why patients had been unscreened in the first place. Economists have paid scant attention to these complexities and their implications for evaluating screening programs. In this paper, we propose a simple economic framework to guide policy-makers and analysts in designing and evaluating the impact of screening on treatment uptake. We apply these insights to several salient empirical examples that illustrate the different kinds of effects screening programs might produce. Our empirical examples focus on contexts relevant to the top cause of death in the United States, heart disease. We find that currently undiagnosed patients differ from currently diagnosed patients in important ways, leading to lower predicted uptake of recommended treatment if these patients were diagnosed. Additionally, changes in the composition of diagnosed patients can produce misleading conclusions during policy analysis, such as spurious reductions in measured health system performance as screening expands.

Keywords: diagnosis; screening; self-selection; policy analysis; quality measurement (search for similar items in EconPapers)
JEL-codes: I10 I12 I14 I18 (search for similar items in EconPapers)
Date: 2018-03
Note: HI
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Downloads: (external link) ... health_screening.pdf First version, February 19, 2018 (application/pdf) ... h_screening_rev1.pdf Second version, April 26, 2018 (application/pdf)

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