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Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA
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Psychometric Performance of Generic Childhood Multi-Attribute Utility Instruments in Preterm and Low Birthweight

Joseph Kwon1, Corneliu Bolbocean1, Olu Onyimadu1

  • 1Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.

Children (Basel, Switzerland)
|November 25, 2023
PubMed

Insights

This review evaluated health measurement tools for individuals born preterm and/or low birthweight (PLB). Evidence for psychometric performance of multi-attribute utility instruments (MAUIs) in PLB populations is limited, requiring further research.

Area of Science:

  • Pediatrics
  • Health Economics
  • Psychometrics

Background:

  • Individuals born preterm and/or low birthweight (PLB) face elevated health risks throughout life.
  • Evaluating psychometric performance of generic multi-attribute utility instruments (MAUIs) is crucial for this population.

Purpose of the Study:

  • To systematically review and evaluate the psychometric performance of childhood-specific or compatible MAUIs in PLB populations.
  • To identify evidence gaps in the psychometric properties of these instruments.

Main Methods:

  • Conducted comprehensive searches across seven databases for studies on PLB populations (pediatric and adult).
  • Evaluated 18 psychometric properties using a four-part criteria rating system for generic childhood-specific or compatible MAUIs.
  • Synthesized data to identify evidence gaps and summarize assessment methods and results.

Main Results:

  • Analyzed 42 studies, generating 178 rating outputs for four MAUIs (17D, CHSCS-PS, HUI2, HUI3).
  • HUI3 accounted for 64.0% of outputs, with 38.2% related to known-group validity.
  • Significant evidence gaps were found for five psychometric properties, and reliability/proxy-child agreement were poorly represented (6.7%).
  • No single MAUI demonstrated superior performance across all properties; HUI2 and HUI3 lacked content validity evidence.

Conclusions:

  • The generated psychometric evidence catalogue aids in selecting appropriate MAUIs for PLB populations.
  • Further psychometric research is essential to address identified evidence gaps and improve instrument selection.
Abstract

Keywords:
health utilitypreterm populationpsychometric performance

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