IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0214283.html
   My bibliography  Save this article

EQ-5D-5L population norms and health inequalities for Trinidad and Tobago

Author

Listed:
  • Henry Bailey
  • Mathieu F Janssen
  • Althea La Foucade
  • Paul Kind

Abstract

The EQ-5D instrument is now used in many health systems as a health outcomes measure. Recently an EQ-5D valuation study was conducted for Trinidad and Tobago, but thus far there have been no population norms published for Trinidad and Tobago or for any Caribbean country. The objective of this study is to provide a set of population norms, and to investigate inequalities in health in Trinidad and Tobago. The EQ-5D-5L questionnaire was included in the 2012/2013 Adult Population Survey of the Global Entrepreneurship Monitor for Trinidad and Tobago. This survey covered a representative sample of 2,036 adults aged 18 and over. Demographic data and self-reported health using EQ-5D-5L were collected. The Trinidad and Tobago value set was used to obtain EQ-5D index values. The Kakwani index and logistic regression models were used to evaluate inequalities in health. Mean EQ-5D index values and EQ-VAS values were calculated by age group, ethnicity, gender, income, educational attainment, employment status and place of residence. The 10 most commonly observed EQ-5D-5L states accounted for 90% of the respondents. The mean VAS value for the sample was 83.6 and the mean EQ-5D-5L index value was 0.95. Pain/discomfort was found to be the EQ-5D dimension with the highest prevalence of reported problems with 22% of the population reporting pain at any level. Self-care was the dimension with the lowest prevalence of problems reported at any level (3%). Health declines with increasing age, and men reported fewer problems and higher levels of self-reported health than women. Age, gender and education level were found to be important drivers of health status as measured by the EQ-5D instrument. Being in a very low income group was also observed to affect EQ-VAS values among younger respondents. The population norms provided in this study can be used by clinicians, academics and policy makers in several ways. They can be used in comparing different demographic groups or patient groups, or as a basis for tracking the progress of patients through a treatment regimen. They can also provide a baseline for cost utility analysis of health interventions for Trinidad and Tobago.

Suggested Citation

  • Henry Bailey & Mathieu F Janssen & Althea La Foucade & Paul Kind, 2019. "EQ-5D-5L population norms and health inequalities for Trinidad and Tobago," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-14, April.
    • Handle: RePEc:plo:pone00:0214283
    DOI: 10.1371/journal.pone.0214283
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0214283
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0214283&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0214283?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
    ---><---

    References listed on IDEAS

    as
    1. Nils Gutacker & Chris Bojke & Silvio Daidone & Nancy Devlin & Andrew Street, 2013. "Hospital Variation in Patient-Reported Outcomes at the Level of EQ-5D Dimensions," Medical Decision Making, , vol. 33(6), pages 804-818, August.
    2. N J Devlin & P Hansen & P Kind & A H Williams, 2000. "The health state preferences and logistical inconsistencies of New Zealanders: a tale of two tariffs," Working Papers 180chedp, Centre for Health Economics, University of York.
    3. Sanjeewa Kularatna & Jennifer A Whitty & Newell W Johnson & Ruwan Jayasinghe & Paul A Scuffham, 2014. "EQ-5D-3L Derived Population Norms for Health Related Quality of Life in Sri Lanka," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-12, November.
    4. Unknown, 2001. "General Discussion," Proceedings of the 6th Agricultural and Food Policy Systems Information Workshop, 2000: Trade Liberalization Under NAFTA: Report Card on Agriculture 16839, Farm Foundation, Agricultural and Food Policy Systems Information Workshops.
    5. Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marta Encheva & Slaveyko Djambazov & Toni Vekov & Dominik Golicki, 2020. "EQ-5D-5L Bulgarian population norms," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(8), pages 1169-1178, November.

    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. M. F. Janssen & A. Szende & J. Cabases & J. M. Ramos-Goñi & G. Vilagut & H. H. König, 2019. "Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(2), pages 205-216, March.
    2. Bent Nielsen, 2004. "Money demand in the Yugoslavian hyperinflation 1991-1994," Economics Series Working Papers 2004-W31, University of Oxford, Department of Economics.
    3. Das, Jishnu & Hammer, Jeffrey & Sánchez-Paramo, Carolina, 2012. "The impact of recall periods on reported morbidity and health seeking behavior," Journal of Development Economics, Elsevier, vol. 98(1), pages 76-88.
    4. Federico Perali & Stefania Lovo, 2009. "Counterfactual analysis using a regional dynamic general equilibrium model with historical calibration," Working Papers 58/2009, University of Verona, Department of Economics.
    5. Morley, Samuel A. & Piñeiro, Valeria, 2008. "The impact of CAFTA on employment, production and poverty in El Salvador," Sede Subregional de la CEPAL en México (Estudios e Investigaciones) 25857, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    6. Gomme, Paul & Klein, Paul, 2011. "Second-order approximation of dynamic models without the use of tensors," Journal of Economic Dynamics and Control, Elsevier, vol. 35(4), pages 604-615, April.
    7. Hanson, Kenneth & Somwaru, Agapi, 2003. "Distributional Effects of U.S. Farm Commodity Programs: Accounting for Farm and Non-Farm Households," Conference papers 331120, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. Gerdtham, Ulf-G & Sundberg, Gun, 1996. "Measuring Income-Related Health Inequalities in Sweden," SSE/EFI Working Paper Series in Economics and Finance 120, Stockholm School of Economics.
    9. Peng Nie & Andrew E. Clarck & Conchita D'Ambrosio & Lanlin Ding, 2020. "Income-related health inequality in urban China (1991-2015): The role of homeownership and housing conditions," Working Papers 524, ECINEQ, Society for the Study of Economic Inequality.
    10. Clarke, Philip & Van Ourti, Tom, 2010. "Calculating the concentration index when income is grouped," Journal of Health Economics, Elsevier, vol. 29(1), pages 151-157, January.
    11. Antonio Abatemarco & Massimo Aria & Sergio Beraldo & Michela Collaro, 2023. "Measuring Access and Inequality of Access to Health Care: a Policy-Oriented Decomposition," CSEF Working Papers 666, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    12. Bénédicte Apouey & Jacques Silber, 2013. "Inequality and Bi-Polarization in Socioeconomic Status and Health: Ordinal Approaches," Research on Economic Inequality, in: Health and Inequality, volume 21, pages 77-109, Emerald Group Publishing Limited.
    13. Fontana, Marzia & Wobst, Peter & Dorosh, Paul A., 2001. "Macro policies and the food sector in Bangladesh: A general equilibrium analysis," TMD discussion papers 73, International Food Policy Research Institute (IFPRI).
    14. Kinyondo, Abel Alfred & Ntegwa, Magashi Joseph & Masawe, Cresencia Apolinary, 2022. "Socioeconomic Inequality in Maternal Healthcare Services: The Case of Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 10(01), January.
    15. David Madden, 2018. "The Base of Party Political Support in Ireland: A New Approach," The Economic and Social Review, Economic and Social Studies, vol. 49(1), pages 17-44.
    16. Pyakuryal, Bishwambher & Roy, Devesh & Thapa, Y.B., 2010. "Trade liberalization and food security in Nepal," Food Policy, Elsevier, vol. 35(1), pages 20-31, February.
    17. William Joe & U. S. Mishra & K. Navaneetham, 2009. "Inequalities in Childhood Malnutrition in India: Some Evidence on Group Disparities," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 10(3), pages 417-439.
    18. Garloff Alfred & Kuckulenz Anja, 2006. "Training, Mobility, and Wages: Specific Versus General Human Capital," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(1), pages 55-81, February.
    19. Tavares, Lara Patrício & Zantomio, Francesca, 2017. "Inequity in healthcare use among older people after 2008: The case of southern European countries," Health Policy, Elsevier, vol. 121(10), pages 1063-1071.
    20. Go, Delfin S. & Kearney, Marna & Robinson, Sherman & Thierfelder, Karen, 2004. "An Analysis of South Africa's Value Added Tax," Conference papers 331274, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0214283. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.