From a Concept’s Evolution Analysis to the Definition of a New Methodological Evaluation Tool of Health-Related Quality of Life (HRQoL) Questionnaires

  • Francesca Ierardi
  • Lisa Gnaulati
  • Elena Ruviglioni
  • Stefania Rodella
Chapter
Part of the Social Indicators Research Series book series (SINS, volume 48)

Abstract

The clinical world starts to pay attention to quality of life (QoL) in the 1970s, when all the demographic, technological, cultural and political changes fatally influenced it. The word health-related quality of life (HRQoL) was created in the 1980s to identify a multidimensional and subjective concept. Even if a lot of studies have been conducted around this concept, there are still some open issues: for example, lots of studies are more focused on quality of the measuring tool than to results application. The first goal of this study is to explore the QoL concept application in clinical settings. The second goal of this study is to introduce a tool aimed at reading and structured evaluation of published and validated surveys, measuring HRQoL and overcoming the methodological limits encountered in literature. The application of a grid to a set of questionnaires, amongst the most utilized at international level, has the aim to enlighten positive aspects and critical areas. The proposed evaluation grid has been developed considering all logical steps usually taken into account when building a questionnaire:
  • Brainstorming phase: identification of concepts or dimensions the questionnaire aims to measure

  • Operational phase: questionnaire building, sample targeting and submitting method

  • Verify phase: reliability and validity control

  • Results phase: introducing the outcome of precedent phase

The application of the grid to the selected set allowed an accurate and structured evaluation of questionnaires and a critical comparison amongst them.

Keywords

HRQoL Questionnaire Subjective Concept Late Decade Health Status Indicator Karnofsky Performance Status Scale 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

 A special thank to Paola Serafini for helping with the translation of this document.

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Francesca Ierardi
    • 1
  • Lisa Gnaulati
    • 1
  • Elena Ruviglioni
    • 2
  • Stefania Rodella
    • 1
  1. 1.Regional Health Agency of TuscanyFlorenceItaly
  2. 2.University of FlorenceFlorenceItaly

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