IDEAS home Printed from https://ideas.repec.org/a/spr/ariqol/v18y2023i4d10.1007_s11482-023-10157-0.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11482-023-10157-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11482-023-10157-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. 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.
    5. 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.
    6. 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.
    7. Ali E. Abbas & Zhengwei Sun, 2019. "Archimedean Utility Copulas with Polynomial Generating Functions," Decision Analysis, INFORMS, vol. 16(3), pages 218-237, September.
    8. Ali E. Abbas & Zhengwei Sun, 2015. "Multiattribute Utility Functions Satisfying Mutual Preferential Independence," Operations Research, INFORMS, vol. 63(2), pages 378-393, April.
    9. Abbas,Ali E., 2018. "Foundations of Multiattribute Utility," Cambridge Books, Cambridge University Press, number 9781107150904, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ali E. Abbas & Zhengwei Sun, 2019. "Archimedean Utility Copulas with Polynomial Generating Functions," Decision Analysis, INFORMS, vol. 16(3), pages 218-237, September.
    2. William B. Haskell & Wenjie Huang & Huifu Xu, 2018. "Preference Elicitation and Robust Optimization with Multi-Attribute Quasi-Concave Choice Functions," Papers 1805.06632, arXiv.org.
    3. Plischke, Elmar & Borgonovo, Emanuele, 2019. "Copula theory and probabilistic sensitivity analysis: Is there a connection?," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1046-1059.
    4. William B. Haskell & J. George Shanthikumar & Z. Max Shen, 2017. "Aspects of optimization with stochastic dominance," Annals of Operations Research, Springer, vol. 253(1), pages 247-273, June.
    5. Rashmita Basu, 2013. "Willingness-to-pay to prevent Alzheimer’s disease: a contingent valuation approach," International Journal of Health Economics and Management, Springer, vol. 13(3), pages 233-245, December.
    6. Elder, Harold W. & Rudolph, Patricia M., 2000. "Beliefs and actions: expectations and savings decisions by older Americans," Financial Services Review, Elsevier, vol. 9(1), pages 33-45, 00.
    7. Hugo Benitez-Silva & Moshe Buchinsky & John Rust & Emine Boz & Joseph B. Nichols & Sharbani Roy & Ignez Tristao, 2005. "Health Status, Insurance, and Expenditures in the Transition from Work to Retirement," Department of Economics Working Papers 05-11, Stony Brook University, Department of Economics.
    8. Wändi Bruine de Bruin & Michael F. Bryan & Simon M. Potter & Giorgio Topa & Wilbert Van der Klaauw, 2008. "Rethinking the measurement of household inflation expectations: preliminary findings," Staff Reports 359, Federal Reserve Bank of New York.
    9. Khwaja, Ahmed & Silverman, Dan & Sloan, Frank, 2007. "Time preference, time discounting, and smoking decisions," Journal of Health Economics, Elsevier, vol. 26(5), pages 927-949, September.
    10. Pamela Giustinelli & Charles F. Manski, 2018. "Survey Measures Of Family Decision Processes For Econometric Analysis Of Schooling Decisions," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 81-99, January.
    11. Steven F. Venti & David A. Wise, 2001. "Choice, Chance, and Wealth Dispersion at Retirement," NBER Chapters, in: Aging Issues in the United States and Japan, pages 25-64, National Bureau of Economic Research, Inc.
    12. Gabriel A. Picone & Frank Sloan & Justin G. Trogdon, 2004. "The effect of the tobacco settlement and smoking bans on alcohol consumption," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 1063-1080, October.
    13. Axel Börsch-Supan & Tabea Bucher-Koenen & Felizia Hanemann, 2018. "Early Determinants of Work Disability in an International Perspective," NBER Working Papers 25142, National Bureau of Economic Research, Inc.
    14. Rietveld, Cornelius A. & Webbink, Dinand, 2016. "On the genetic bias of the quarter of birth instrument," Economics & Human Biology, Elsevier, vol. 21(C), pages 137-146.
    15. Christopher House & John Laitner & Dmitriy Stolyarov, 2008. "Valuing Lost Home Production Of Dual Earner Couples," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(2), pages 701-736, May.
    16. Hanming Fang & Michael P. Keane & Dan Silverman, 2008. "Sources of Advantageous Selection: Evidence from the Medigap Insurance Market," Journal of Political Economy, University of Chicago Press, vol. 116(2), pages 303-350, April.
    17. Michael Hurd & Susann Rohwedder, 2006. "Alternative Measures of Replacement Rates," Working Papers wp132, University of Michigan, Michigan Retirement Research Center.
    18. Arun G. Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2019. "Best Linear Approximations to Set Identified Functions: With an Application to the Gender Wage Gap," NBER Working Papers 25593, National Bureau of Economic Research, Inc.
    19. Hurd, Michael D. & Rohwedder, Susann, 2023. "Spending trajectories after age 65 variation by initial wealth," The Journal of the Economics of Ageing, Elsevier, vol. 26(C).
    20. Michael Hurd & Arie Kapteyn, 2003. "Health, Wealth, and the Role of Institutions," Journal of Human Resources, University of Wisconsin Press, vol. 38(2).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ariqol:v:18:y:2023:i:4:d:10.1007_s11482-023-10157-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.