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Associations of Health-Related Quality of Life with Overall Quality of Life in the Patient Reported Outcomes Measurement Information System (PROMIS®) Project

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  • Alina Palimaru

    (UCLA Fielding School of Public Health)

  • Ron D. Hays

    (UCLA Department of Medicine/Division of General Internal Medicine & Health Services Research)

Abstract

Health-Related Quality of Life (HRQOL) and evaluative well-being (EWB) surveys are used at local and national level to monitor population health. Significant associations have been reported between HRQOL and EWB measures. Perceptions of overall quality of life are one type of EWB measure. This study estimates associations between a quality of life item and HRQOL items in two datasets (n = 21,133 and n = 2996) collected as part of the U.S. Patient Reported Outcomes Measurement Information System (PROMIS®) project. HRQOL measures accounted for 69% to 75% of variance in overall quality of life. The study provides further evidence about the empirical overlap between EWB and HRQOL. EWB researchers need to explicitly incorporate HRQOL measures and vice versa in their research. Future research is needed to determine the extent to which the associations between EWB and HRQOL vary by individual characteristics.

Suggested Citation

  • Alina Palimaru & Ron D. Hays, 2017. "Associations of Health-Related Quality of Life with Overall Quality of Life in the Patient Reported Outcomes Measurement Information System (PROMIS®) Project," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 12(2), pages 241-250, June.
    • Handle: RePEc:spr:ariqol:v:12:y:2017:i:2:d:10.1007_s11482-017-9515-x
    DOI: 10.1007/s11482-017-9515-x
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    References listed on IDEAS

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    1. Sophia Christakopoulou & Jon Dawson & Aikaterini Gari, 2001. "The Community Well-Being Questionnaire: Theoretical Context and Initial Assessment of Its Reliability and Validity," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 56(3), pages 319-349, December.
    2. Ron D. Hays & Dennis A. Revicki & David Feeny & Peter Fayers & Karen L. Spritzer & David Cella, 2016. "Using Linear Equating to Map PROMIS® Global Health Items and the PROMIS-29 V2.0 Profile Measure to the Health Utilities Index Mark 3," PharmacoEconomics, Springer, vol. 34(10), pages 1015-1022, October.
    3. Dolan, Paul & Layard, Richard & Metcalfe, Robert, 2011. "Measuring subjective well-being for public policy," LSE Research Online Documents on Economics 35420, London School of Economics and Political Science, LSE Library.
    4. Ed Diener & Eunkook Suh, 1997. "Measuring Quality Of Life: Economic, Social, And Subjective Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 40(1), pages 189-216, January.
    5. Ayano Yamaguchi, 2015. "Influences of Quality of Life on Health and Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(1), pages 77-102, August.
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    Cited by:

    1. Ron D. Hays & Anthony Rodriguez & Nabeel Qureshi & Chengbo Zeng & Maria Orlando Edelen, 2024. "Support for a Single Underlying Dimension of Self-Reported Health in a Sample of Adults with Low Back Pain in the United States," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 19(5), pages 2213-2226, October.
    2. Lisbeth Nielsen, 2017. "Measuring the Subjective Well-Being of Diverse Populations in the U.S," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 12(2), pages 237-240, June.

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