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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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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.

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References

  • Barile, J. P., Reeve, B. B., Wilder Smith, A., Zack, M. M., Mitchell, S. A., Kobau, R., et al. (2013). Monitoring population health for healthy people 2020: Evaluation of the NIH PROMIS Global Health, CDC healthy days, and satisfaction with life instruments. Quality of Life Research, 22(6), 1201–1211.

    Article  Google Scholar 

  • Bradburn, N. M., Carstensen, L. L., Diener, E. F., Dolan, P. H., Graham, C. L., Hotz, V. J., … & Card, D. (2013). Subjective well-being: measuring happiness, suffering, and other dimensions of experience. (A. A. Stone, C. Mackie, & Eds., Eds.) Washington, D.C.: The National Academies Press.

  • Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., et al. (2010). The patient-reported outcomes measurement information system (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008. Journal of Clinical Epidemiology, 63(11), 1179–1194.

    Article  Google Scholar 

  • Christakopoulou, S., Dawson, J., & Aikaterini, G. (2001). The community well-being questionnaire: Theoretical context and initial assessment of its reliability and validity. Social Indicators Research, 56, 321–351.

    Article  Google Scholar 

  • Diener, E., & Chan, M. Y. (2011). Happy people live longer: Subjective well-being contributes to health and longevity. Applied Psychology: Health and Well-Being, 3(1), 1–43.

    Google Scholar 

  • Diener, E., & Suh, E. (1997). Measuring quality of life: Economic, social, and subjective indicators. Social Indicators Research, 40, 189–216.

    Article  Google Scholar 

  • Dolan, P., Layard, R., & Metcalfe, R. (2011). Measuring subjective well being for public policy: Recommendations on measures. London: Centre for Economic Performance, London School of Economics.

    Google Scholar 

  • Eller, L. S., & Mahat, G. (2007). Predictors of life satisfaction in HIV-positive Nepali women. The Journal of the Association of Nurses in AIDS Care, 18(5), 17–26.

    Article  Google Scholar 

  • EuroQol Research Foundation (2015). EQ-5D-3L. Retrieved from EuroQol.org: http://www.euroqol.org/eq-5d-products/eq-5d-3l.html.

  • Feeny, D., Furlong, W., Torrance, G. W., Goldsmith, C. H., Zhu, Z., DePauw, S., et al. (2002). Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Medical Care, 40(2), 113–128.

    Article  Google Scholar 

  • Ganz, P., Hays, R., Kaplan, R., & Litwin, M. (2014). Measuring Health-Related Quality of Life and Other Outcomes. In G. F.-E. Komiski (Ed.), Changing the U.S. Health Care System (pp. 307–341). San Francisco: Jossey-Bass.

    Google Scholar 

  • Hays, R. D., Bjorner, J., Revicki, D. A., Spritzer, K., & Cella, D. (2009). Development of physical and mental health summary scores from the patient-reported outcomes measurement information system (PROMIS) global items. Quality of Life Research, 18(7), 873–880.

    Article  Google Scholar 

  • Hays, R. D., Liu, H., & Kapteyn, A. (2015). Use of internet panels to conduct surveys. Behavior Research Methods, 47(3), 685–690.

    Article  Google Scholar 

  • Hays, R. D., Revicki, D. A., Feeny, D., Fayers, P., Spritzer, K. L., & Cella, D. (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, 34(10), 1015–1022.

    Article  Google Scholar 

  • Jenkinson, C., Gibbons, E., & Fitzpatrick, R. (2009). A structured review of patient reported outcome measures in relation to stroke. Oxford: University of Oxford.

    Google Scholar 

  • Keith, K. D. (2001). International Quality of Life: Current Conceptual, Measurement, and Implementation Issues. In L. M. Glidden (Ed.), International Review of Research in Mental. San Diego: Academic Press.

    Google Scholar 

  • Liu, H. H., Cella, D., Gershon, R., Shen, J., Morales, L. S., Riley, W., & Hays, R. D. (2010). Representativeness of the PROMIS internet panel. Journal of Clinical Epidemiology, 63(11), 1169–1178.

    Article  Google Scholar 

  • Ludlow, L., & Klein, K. (2014). Suppressor variables: The difference between ‘is’ versus ‘acting as’. The Journal of Statistics Education, 22(2), 1–28.

  • Oberjé, E. J., Dima, A., van Hulzen, A. G., Prins, J. M., & de Bruin, M. (2015). Looking beyond health-related quality of life: Predictors of subjective well-being among people living with HIV in the Netherlands. AIDS and Behavior, 19(8), 1398–1407.

    Article  Google Scholar 

  • Ravens-Sieberer, U., Devine, J., Bevans, K., Riley, A. W., Moon, J., Salsman, J. M., & Forrest, C. B. (2014). Subjective well-being (SWB) measures for children were developed within the PROMIS® project: Presentation of first results. Journal of Clinical Epidemiology, 67(2), 207–218.

    Article  Google Scholar 

  • Snyder, C. F., Aaronson, N. K., Choucair, A. K., Elliott, T. E., Greenhalgh, J., Halyard, M. Y., et al. (2012). Implementing patient-reported outcomes assessment in clinical practice: A review of the options and considerations. Quality of Life Research, 21(8), 1305–1314.

    Article  Google Scholar 

  • Spiro, A., & Bossé, R. (2000). Relations between health-related quality of life and well-being: The gerontologist's new clothes? International Journal of Aging and Human Development, 50(4), 297–318.

    Article  Google Scholar 

  • Tsaousis, I., Nikolaou, I., Serdaris, N., & Judge, T. A. (2007). Do the core self-evaluations moderate the relationship between subjective well-being and physical and psychological health? Personality and Individual Differences, 42, 1441–1452.

    Article  Google Scholar 

  • Tseng, H. M., Lu, R. J., & Gandek, B. (2003). Cultural issues in using the SF-36 health survey in Asia: Results from Taiwan. Health and Quality of Life Outcomes, 1(72), 1–9.

    Google Scholar 

  • Vickrey, B. G., Hays, R. D., Genovese, B. J., Myers, L. W., & Ellison, G. W. (1997). Comparison of a generic to disease-targeted health-related quality-of-life measures for multiple sclerosis. Journal of Clinical Epidemiology, 50(5), 557–569.

    Article  Google Scholar 

  • Wiest, M., Schuz, B., Webster, N., & Wurm, S. (2011). Subjective well-being and mortality revisited: Differential effects of cognitive and emotional facets of well-being on mortality. Health Psychology, 30(6), 728–735.

    Article  Google Scholar 

  • Yamaguchi, A. (2015). Influences of quality of life on health and well-being from a qualitative approach. Social Indicators Research, 123, 77–102.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Health Policy and Management, UCLA Fielding School of Public Health, 650 Charles E. Young Dr. S, Los Angeles, CA, 90095, USA

    Alina Palimaru

  2. UCLA Department of Medicine/Division of General Internal Medicine & Health Services Research, 911 Broxton Avenue, Room 110, Los Angeles, CA, 90024, USA

    Ron D. Hays

Authors
  1. Alina Palimaru
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  2. Ron D. Hays
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Correspondence to Alina Palimaru.

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Funding

Alina Palimaru was supported by UCLA Graduate Summer Research Mentorship Grant, 2015. Ron D. Hays was supported by NCI (No. 1 U2- CCA186878–01).

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Palimaru, A., Hays, R.D. Associations of Health-Related Quality of Life with Overall Quality of Life in the Patient Reported Outcomes Measurement Information System (PROMIS®) Project. Applied Research Quality Life 12, 241–250 (2017). https://doi.org/10.1007/s11482-017-9515-x

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  • DOI: https://doi.org/10.1007/s11482-017-9515-x

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