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Individual and Dyadic Health-Related Quality of Life of People Living with Dementia and their Caregivers

Author

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  • Mauricio Lopez-Mendez

    (Brown University School of Public Health)

  • Rowan Iskandar

    (Brown University School of Public Health
    Swiss Institute for Translational and Entrepreneurial Medicine, Sitem-Insel AG
    University of Bern)

  • Eric Jutkowitz

    (Brown University School of Public Health
    Providence VA Medical Center
    VA Evidence Synthesis Program Center Providence VA Health Care System)

Abstract

Many interventions target dyads of people living with Alzheimer’s disease and related dementias (ADRD) and their caregivers. Without a dyadic measure of health-related quality of life (HRQOL), cost-utility analyses of these interventions require using the HRQOL of people with ADRD and caregivers, separately. We developed a dyadic measure of HRQOL that incorporates the interdependence between HRQOL of people living with ADRD and their caregivers and measures the dyad’s collective benefits. First, we estimated dyadic HRQOL time trade-off-weights (TTO-weights), a dyadic preference-based measure of HRQOL. Second, we estimated the association between ADRD clinical features and TTO-weights. We used the Aging, Demographics, and Memory Study to identify people living with ADRD (n = 308) and their caregivers (n = 160 dyads) and predict their TTO-weights. We estimated dyadic TTO-weights using an Archimedean bivariate utility copula with a quadratic generating function. Finally, we used adjusted linear regression to examine the association between predicted TTO-weights and ADRD clinical features. Average (standard deviation) TTO-weights of people living with ADRD, and caregivers were 0.67 (0.14) and 0.83 (0.09), respectively. Average dyadic TTO-weight was 0.75(0.05). When the dyadic TTO-weight was ≤ 0.60, an increase in the TTO-weight of the dyad-member with the lowest HRQOL resulted in a larger gain in the dyadic TTO-weight than a similar increase in the TTO-weight for the dyad-member with the higher baseline TTO-weight (i.e., non-proportional tradeoffs). When the dyadic TTO-weight is > 0.60, an increase in the TTO-weight for either member of the dyad increases the dyad TTO-weight equally (constant tradeoffs). An additional functional limitation resulted in more than twice the decline in the TTO-weight of people living with ADRD compared to an additional behavioral symptom (-0.008 vs. -0.003). Behavioral symptoms were significantly associated with a decline in caregivers’ and dyadic TTO-weights. The HRQOL of people living with ADRD and their caregivers are correlated. The dyadic TTO-weights for people living with ADRD and their caregivers can be used in cost-utility analyses to assess the collective gains in HRQOL and tradeoffs of interventions that target members of the dyad.

Suggested Citation

  • Mauricio Lopez-Mendez & Rowan Iskandar & Eric Jutkowitz, 2023. "Individual and Dyadic Health-Related Quality of Life of People Living with Dementia and their Caregivers," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(4), pages 1673-1692, August.
  • Handle: RePEc:spr:ariqol:v:18:y:2023:i:4:d:10.1007_s11482-023-10157-0
    DOI: 10.1007/s11482-023-10157-0
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    References listed on IDEAS

    as
    1. J. O. Ramsay, 1998. "Estimating smooth monotone functions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(2), pages 365-375.
    2. Stefan A. Lipman & Werner B. F. Brouwer & Arthur E. Attema, 2020. "What is it going to be, TTO or SG? A direct test of the validity of health state valuation," Health Economics, John Wiley & Sons, Ltd., vol. 29(11), pages 1475-1481, November.
    3. Ali E. Abbas, 2009. "Multiattribute Utility Copulas," Operations Research, INFORMS, vol. 57(6), pages 1367-1383, December.
    4. Ali E. Abbas & Zhengwei Sun, 2015. "Multiattribute Utility Functions Satisfying Mutual Preferential Independence," Operations Research, INFORMS, vol. 63(2), pages 378-393, April.
    5. Abbas,Ali E., 2018. "Foundations of Multiattribute Utility," Cambridge Books, Cambridge University Press, number 9781107150904.
    6. Anirban Basu & William Dale & Arthur Elstein & David Meltzer, 2010. "A Time Tradeoff Method for Eliciting Partner’s Quality of Life due to Patient’s Health States in Prostate Cancer," Medical Decision Making, , vol. 30(3), pages 355-365, May.
    7. F. Thomas Juster & Richard Suzman, 1995. "An Overview of the Health and Retirement Study," Journal of Human Resources, University of Wisconsin Press, vol. 30, pages 7-56.
    8. Admassu N. Lamu, 2020. "Does linear equating improve prediction in mapping? Crosswalking MacNew onto EQ-5D-5L value sets," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(6), pages 903-915, August.
    9. Ali E. Abbas & Zhengwei Sun, 2019. "Archimedean Utility Copulas with Polynomial Generating Functions," Decision Analysis, INFORMS, vol. 16(3), pages 218-237, September.
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