Health Measurement Model—Bringing a Life Course Perspective to Health Measurement: The PRISM Model

Health is a multidimensional concept that is challenging to measure, and in the rapidly evolving developmental changes that occur during the first 21 years of human life, requires a dynamic approach to accurately capture the transitions, and overall arc of a complex process of internal and external...

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Bibliographic Details
Main Authors: Steven Hirschfeld, Elizabeth Goodman, Shari Barkin, Elaine Faustman, Neal Halfon, Anne W. Riley
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Pediatrics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2021.605932/full
Description
Summary:Health is a multidimensional concept that is challenging to measure, and in the rapidly evolving developmental changes that occur during the first 21 years of human life, requires a dynamic approach to accurately capture the transitions, and overall arc of a complex process of internal and external interactions. We propose an approach that integrates a lifecourse framework with a layered series of assessments, each layer using a many to many mapping, to converge on four fundamental dimensions of health measurement-Potential, Adaptability, Performance, and Experience. The four dimensions can conceptually be mapped onto a plane with each edge of the resulting quadrilateral corresponding to one dimension and each dimensions assessment calibrated against a theoretical ideal. As the plane evolves over time, the sequential measurements will form a volume. We term such a model the Prism Model, and describe conceptually how single domain assessments can be built up to generate the holistic description through the vehicle of a layer of Exemplar Cases. The model is theoretical but future work can use the framework and principles to generate scalable and adaptable applications that can unify and improve the precision of serial measurements that integrate environmental and physiologic influences to improve the science of child health measurement.
ISSN:2296-2360