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Strategic investment in preventive health care: Quantitative modelling for programme selection and resource allocation

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Abstract

This paper reviews contemporary quantitative approaches to programme selection and resource allocation in preventive health care. For this purpose it is first shown that preventive health programmes are strategic investments. Then we give reasons why cost-effectiveness analysis is our preferred general frame of reference. Within this framework several representative quantitative policy models are discussed next. In the field of chronic illnesses we focus on the prevention of cancer and cardiovascular diseases, the main causes of death and disability in the industrialized countries. Examples from the field of contagious diseases relate to tuberculosis and malaria control, and to the spread of the Acquired Immune Deficiency Syndrome (AIDS). Finally, we present the case of innovation in preventive health technology from a strategic investment angle.

Zusammenfassung

Diese Arbeit gibt einen Überblick über quantitative Programmauswahl- und Ressourcenallokationsmodelle im Bereich der präventiven Gesundheitsversorgung. Zunächst wird gezeigt, daß präventive Gesundheitsprogramme strategische Investitionen darstellen. Anschließend wird begründet, weshalb sich die Kosten-Wirksamkeits-Analyse als allgemeiner Bezugsrahmen anbietet. Innerhalb dieses Rahmens werden dann aus unterschiedlichen Bereichen repräsentative quantitative strategische Modelle erörtert. Im Bereich nichtübertragbarer Erkrankungen liegt der Schwerpunkt bei Krebs und Herz-Kreislauf-Krankheiten, den Hauptursachen für Tod und Gesundheitsbeeinträchtigung in den Industrieländern. Hinsichtlich übertragbarer Krankheiten konzentrieren wir uns auf Tuberkulose, Malaria und AIDS. Ein vorgelagertes Spezialproblem ist die gesundheitsökonomische Bewertung neuer Präventionstechnologien. Die hier verfügbaren quantitativen Modellierungsansätze werden ebenfalls angesprochen.

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Heidenberger, K. Strategic investment in preventive health care: Quantitative modelling for programme selection and resource allocation. OR Spektrum 18, 1–14 (1996). https://doi.org/10.1007/BF01539875

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