A quantile regression approach for modelling a Health-Related Quality of Life Measure

Authors

  • Giulia Cavrini Alma Mater Studiorum - Università di Bologna

DOI:

https://doi.org/10.6092/issn.1973-2201/3586

Abstract

Objective. The aim of this study is to propose a new approach for modeling the EQ-5D index and EQ-5D VAS in order to explain the lifestyle determinants effect using the quantile regression analysis. Methods. Data was collected within a cross-sectional study that involved a probabilistic sample of 1,622 adults randomly selected from the population register of two Health Authorities of Bologna in northern Italy. The perceived health status of people was measured using the EQ-5D questionnaire. The Visual Analogue Scale included in the EQ-5D Questionnaire, the EQ-VAS, and the EQ-5D index were used to obtain the synthetic measures of quality of life. To model EQ-VAS Score and EQ-5D index, a quantile regression analysis was employed. Quantile Regression is a way to estimate the conditional quantiles of the VAS Score distribution in a linear model, in order to have a more complete view of possible associations between a measure of Health Related Quality of Life (dependent variable) and socio-demographic and determinants data. This methodological approach was preferred to an OLS regression because of the EQ-VAS Score and EQ-5D index typical distribution. Main Results. The analysis suggested that age, gender, and comorbidity can explain variability in perceived health status measured by the EQ-5D index and the VAS.

References

P.C. AUSTIN, J.V. TU, P.A. DALY, D.A. ALTER (2005) The use of quantile regression in health care research : a case study examining gender differences in the timeliness of thrombolytic therapy, “Statistics in Medicine”, 24, pp. 791-816.

A.E. BONOMI, D.L. PATRICK, D.M. BUSHNELL, M. MARTIN (2000), Validation of the United States’ version of the World Health Organization Quality of Life (WHOQOL) instrument, “Journal of Clinical Epidemiology”. 53, pp. 1-12.

J. BRAZIER, N. JONES, P. KIND (1993), Testing the validity of the Euroqol and comparing it with the SF- 36 health survey questionnaire, “Quality of Life Research”, 2, pp. 169-180.

R.G. BROOKS, S. JENDTEG, B. LINDGREN, U. PERSSON, S. BJORK (1991), EuroQoL: health-related quality of life measurement. Results of the Swedish questionnaire exercise, “Health Policy” 18, pp. 25-36.

R. BROOKS (1996), EuroQol: The current state of play, “Health Policy”, 37, pp. 53-72.

R. BROOKS, R. RABIN, F. DE CHARRO (2003), The measurement and valuation of health status using EQ- 5D: a European perspective, Kluwer Academic Publisher, The Netherlands.

M. BUCHINSKY (1998), Recent advances in quantile regression model: a practical guideline for empirical research, “The Journal of human resources”, 33, pp. 88-126.

G. CAVRINI, B. PACELLI, P. PANDOLFI, N. COLLINA, F. MEZZETTI, P. PESCI, V. PERLANGELI (2004), Modeling EQ-5 dimensions for the purposes of identifying perceived health impact of life-style determinants, Proceeding of 21st Scientific Plenary Meeting of the EuroQoL Group, pp. 29-44.

N. COLLINA, P. PANDOLFI, F. MEZZETTI, B. PACELL, G. CAVRINI (2004), Salute percepita e salute misurata. Indagine sulla qualità della vita percepita in relazione allo stato di salute nella popolazione dei Distretti Pianura Est e Pianura Ovest, Report printed by Department of Health Authority .

P. DOLAN, C. GUDEX, P. KIND, A. WILLIAMS (1996), The Time Trade-off Method: Results from a Geneeral Population Study, “Health Economics”, 15, pp. 141-154.

P. DOLAN, C. GUDEX, P. KIND, A. WILLIAMS (1996), Valuing health states: A comparison of methods, “Journal of Health Economics”, 15, pp. 209-231.

EUROQOL GROUP (1990). EuroQoL – a new facility for the measurement of health-related quality of life, “Health Policy”, 16, pp. 199-208.

P.M. FAYERS, D. MACHIN (2000), Quality of Life. Assessment, Analysis and Interpretation, Wiley, England.

N. HOEYMANS, H. VAN LINDERT, G.P. WESTERT (2005), The health status of the Dutch population as assessed by the EQ-6D, “Quality of Life Research”, 14, pp. 655-663.

J.A. JOHNSON, S.J. COONS (1998), Comparison of the EQ-5D and SF-12 in an adult US sample, “Quality of Life Research”, 7, pp. 155-166.

J.A. JOHNSON, S.J. COONS, A. ERGO, G. SZAVA-KOVATS (1998), Valuation of EuroQoL (EQ-5D) health states in an adult US sample, “Pharmacoeconomics”, 13, pp. 421-433.

P. KIND, C. GUDEX, P. DOLAN, A. WILLIAMS (1994), Practical and methodological issues in the development of the EuroQoL: the York experience, “Adv Medical Sociol”, 5, pp. 219-253.

P. KIND (1996) The EuroQoL instrument: an index of health-related quality of life. In: Spilker B, ed. “Quality of Life and Pharmacoeconomics in Clinical Trials”, 2nd edn. Philadelphia, PA: Lippincott-Raven Publishers, pp. 191-201.

P. KIND, P. DOLAN, C. GUDEX, A. WILLIAMS (1998), A. Variations in population health status: results from a United Kingdom national questionnaire survey, BMJ, pp. 316: 736-41.

P. KIND, R. BROOKS, R. RABIN (2005) EQ-5D concepts and methods: a developmental history. Springer, The Netherlands.

R. KOENKER, G. BASSET (1978), Quantile regression, “Econometria”, 46, part 1, pp. 33-50.

R. KOENKER (1994), Confidence interval for regression quantile in Mandl and Huskova (eds.), “Proceedings of the fifth Prague symposium on Asymptotic statistics”, Physica, pp. 349-359.

R. KOENKER (2005), Quantile regression, Cambridge University Press, Cambridge.

E. NORD (1991) EuroQoL: health-related quality of life. Valuations of health states by the general public in Norway, “Health Policy”, 18, pp. 37-46.

A. NORDLUND, K. EKBERG, M. KRISTENSON, LINQUEST GROUP (2005), EQ-5D in a general population survey – A description of the most commonly reported EQ-5D health states using the SF-36, “Quality of Life Research”, 14, pp. 1099-1109.

B. PACELLI F. MEZZETTI, P. PANDOLFI, N. COLLINA, V. PERLANGELI, G. CAVRINI (2005), Health related quality of life in two Health Authorities in Northern Italy: results of a questionnaire survey, Proceeding of 22nd Plenary Meeting of the EuroQoL Group, Oslo, 8/10 Settembre 2005 p. 305.

D.A. REVICKI, R.M. KAPLAN (1993), Relationship between psychometric and utility-based approaches to the measurement of health-related quality of life, “Quality of Life Research”, 2, pp. 477-487.

A. SZENDE, M. OPPE, N. DEVLIN (2007) EQ-5D value sets: inventory, comparative review and user guide. Springer, The Netherlands.

Downloads

Published

2010-09-30

How to Cite

Cavrini, G. (2010). A quantile regression approach for modelling a Health-Related Quality of Life Measure. Statistica, 70(3), 273–291. https://doi.org/10.6092/issn.1973-2201/3586

Issue

Section

Articles