THE EFFECT OF DIABETES COMPLICATIONS ON HEALTH-RELATED QUALITY OF LIFE: THE IMPORTANCE OF LONGITUDINAL DATA TO ADDRESS PATIENT HETEROGENEITY

Authors


  • Funding sources: The work was funded by a UK MRC project grant on Disease Modelling (Grant ID: 87386)

  • Disclosure: None of the authors of this paper has a conflict of interest that might prejudice the results.

  • The copyright line for this article was changed on 5 August 2015 after original online publication.

Abstract

We estimate the impact of six diabetes-related complications (myocardial infarction, ischaemic heart disease, stroke, heart failure, amputation and visual acuity) on quality of life, using seven rounds of EQ-5D questionnaires administered between 1997 and 2007 in the UK Prospective Diabetes Study. The use of cross-sectional data to make such estimates is widespread in the literature, being less expensive and easier to collect than repeated-measures data. However, analysis of this dataset suggests that cross-sectional analysis could produce biased estimates of the effect of complications on QoL. Using fixed effects estimators, we show that variation in the quality of life between patients is strongly influenced by time-invariant patient characteristics. Our results highlight the importance of studying quality-of-life changes over time to distinguish between time-invariant determinants of QoL and the effect on QoL of specific events such as diabetes complications. © 2013 The Authors. Health Economics Published by John Wiley & Sons Ltd.

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