Skip to main content
Log in

The “no problems”-problem: an empirical analysis of ceiling effects on the EQ-5D 5L

  • Brief Communication
  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

Aim

To analyze the association between ceiling effects on the EQ-5D 5L and morbidity in a general population sample.

Methods

We used a cross-sectional sample of the German general population (n = 5007) to describe the frequency of health state “11111” and “no problems”-answers on the five single dimensions stratified by the number of diseases for which participants utilized health care during the last 6 months. For the five single dimensions we also used specific criteria to analyze their discriminative ability. A logit-model was applied for a multivariate analysis of ceiling effects.

Results

31% of participants reported the health state “11111.” This percentage strongly decreased with increasing morbidity, down to 4.9% if four or more diseases were present. The dimensions “mobility,” “usual activities,” and “pain/discomfort” showed good discriminative abilities. The dimensions “anxiety/depression” and “self -care” were able to discriminate between different levels of morbidity, but nevertheless showed strong ceiling effects, in particular “self-care.”

Conclusion

When analyzing ceiling effects of the EQ-5D 5L, one has to draw attention to morbidity since high proportions of participants indicating the best health state might result from being healthy regarding the dimensions assessed by the EQ-5D, in particular in general population datasets.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

References

  1. Terwee, C. B., Bot, S. D., de Boer, M. R., van der Windt, D. A., Knol, D. L., Dekker, J., et al. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60(1), 34–42.

    Article  PubMed  Google Scholar 

  2. Herdman, M., Gudex, C., Lloyd, A., Janssen, M., Kind, P., Parkin, D., et al. (2011). Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 20(10), 1727–1736.

    Article  CAS  Google Scholar 

  3. Feng, Y., Devlin, N., & Herdman, M. (2015). Assessing the health of the general population in England: How do the three- and five-level versions of EQ-5D compare?. Health and Quality of Life Outcomes, 13, 171.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Ferreira, L. N., Ferreira, P. L., Ribeiro, F. P., & Pereira, L. N. (2016). Comparing the performance of the EQ-5D-3L and the EQ-5D-5L in young Portuguese adults. Health and Quality of Life Outcomes, 14, 89.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Gracia-Gordillo, M. A., Adsuar, J. C., & Olivares, P. R. (2016). Normative values of EQ-5D-5L: In a Spanish representative population sample from Spanish Health Survey, 2011. Quality of Life Research, 25, 1313–1321.

    Article  Google Scholar 

  6. Hinz, A., Kohlmann, T., Stöbel-Richter, Y., Zenger, M., & Brähler, E. (2014). The quality of life questionnaire EQ-5D-5L: Psychometric properties and normative values for the general German population. Quality of Life Research, 23, 443–447.

    Article  PubMed  Google Scholar 

  7. Huber, M. B., Reitmeir, P., Vogelmann, M., & Leidl, R. (2016). EQ-5D-5L in the General German Population: Comparison and evaluation of three yearly cross-section surveys. International Journal of Environmental Research and Publich Health, 13, 343.

    Article  Google Scholar 

  8. Kim, T. H., Jo, M.-W., Lee, S.-I., Kim, S. H., & Chung, S. M. (2013). Psychometric properties of the EQ-5D-5L in the general population of South Korea. Quality of Life Research, 22, 2245–2253.

    Article  PubMed  Google Scholar 

  9. H., K. S., Kim, H. J., Lee, S.-I., & Jo, M.-W. (2012). Comparing the psychometric properties of the EQ-5D-3L and EQ-5D-5L in cancer patients in Korea. Quality of Life Research, 21, 1065–1073.

    Article  Google Scholar 

  10. Grupp, H., Konig, H. H., & Konnopka, A. (2016). Health care utilisation and costs in the general population in Germany. Health Policy (Amsterdam, Netherlands), 120(2), 159–169.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alexander Konnopka.

Ethics declarations

Conflict of interest

The authors have no conflicts of interest.

Ethical approval

All procedures were in accordance with the ethical standards of the national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all participants.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Konnopka, A., Koenig, HH. The “no problems”-problem: an empirical analysis of ceiling effects on the EQ-5D 5L. Qual Life Res 26, 2079–2084 (2017). https://doi.org/10.1007/s11136-017-1551-3

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-017-1551-3

Keywords

Navigation