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Estimating the Effect of Regression to the Mean in Health Management Programs

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  • Ariel Linden

    (Linden Consulting Group, Portland, Oregon, USA, School of Medicine and School of Nursing, Oregon Health & Science University, Portland, Oregon, USA)

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    Abstract

    Most health management programs, such as disease management or health promotion/wellness interventions, implement targeted interventions for an identified high-risk group, leaving the remaining non-managed lower-risk population as controls. This is problematic from an outcomes perspective because individuals initially identified by their high-risk scores will inevitably have lower average scores on remeasurement, even in the absence of a health management program. This statistical phenomenon is called regression to the mean (RTM). This article presents actual examples of RTM, describes the classic method for estimating the impact of RTM in a pre-post study, and provides suggestions for designing health management program evaluations to mitigate the effects of RTM.

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    Bibliographic Info

    Article provided by Wolters Kluwer Health | Adis in its journal Disease Management & Health Outcomes.

    Volume (Year): 15 (2007)
    Issue (Month): 1 ()
    Pages: 7-12
    Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
    Handle: RePEc:wkh:dmhout:v:15:y:2007:i:1:p:7-12

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    Web page: http://diseasemanagement.adisonline.com/

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    Related research

    Keywords: Disease-management-programme-evaluation; Statistics;

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