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Related Concept Videos

Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...

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Criteria for developing, assessing and selecting candidate EQ-5D bolt-ons.

Brendan J Mulhern1, Chris Sampson2, Phil Haywood3

  • 1Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, Australia. brendan.mulhern@uts.edu.au.

Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation
|April 29, 2022
PubMed
Summary
This summary is machine-generated.

This study proposes 23 criteria for developing and selecting bolt-on dimensions for multi-attribute utility instruments like EQ-5D. These criteria enhance content validity and responsiveness in health research.

Keywords:
Bolt-onsEQ-5DHealth-related quality of lifePsychometrics

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Area of Science:

  • Health Economics
  • Psychometrics
  • Patient-Reported Outcomes

Background:

  • Multi-attribute utility instruments (MAUIs), such as the EQ-5D, are essential for health outcomes research.
  • Bolt-on dimensions are supplementary measures added to MAUIs to capture constructs beyond the core system.
  • Their use aims to improve content validity and responsiveness in specific health contexts.

Purpose of the Study:

  • To propose a comprehensive set of criteria for the development, assessment, and selection of bolt-on dimensions.
  • To ensure bolt-ons are suitable for their intended purpose and align with MAUI frameworks.
  • To provide guidance for researchers using or developing bolt-on measures.

Main Methods:

  • An iterative approach was employed, synthesizing existing criteria from MAUI development literature and the COSMIN checklist.
  • Qualitative and quantitative approaches for bolt-on development were considered.
  • Draft criteria were formalized and refined through expert review.

Main Results:

  • Twenty-three distinct criteria were formulated for bolt-on development, assessment, and selection.
  • Development criteria addressed structural integrity, linguistic clarity, and consistency with the core EQ-5D structure.
  • Assessment and selection criteria focused on face/content validity and psychometric properties.

Conclusions:

  • The proposed criteria offer a standardized framework for creating and evaluating bolt-on dimensions.
  • These criteria can guide the development of bolt-ons across diverse health conditions and research settings.
  • They aid in assessing existing bolt-ons and determining their appropriate use where EQ-5D may have limitations.