Skip to main content

Advertisement

Log in

Health-related quality of life and health utilities in insulin-treated type 2 diabetes: the impact of related comorbidities/complications

  • Original Paper
  • Published:
The European Journal of Health Economics Aims and scope Submit manuscript

Abstract

Objective

To evaluate the impact of multiple comorbidities/complications on health-related quality of life (HRQoL) and health utilities in insulin-treated type 2 diabetes (T2DM).

Methods

In a non-interventional, epidemiological study, data were collected from medical records and via interviews for 938 subjects from various geographical areas of Greece. HRQoL and health utilities were explored with the EQ-5D-5L. Univariate associations were evaluated with the Mann–Whitney and Kruskal–Wallis tests for continuous and Chi-squared tests for nominal variables, and binary logistic regressions were employed to obtain marginal effects. Employing a split sample approach, various specifications of ordinary least squares regression models were evaluated in terms of goodness of fit, model specification, shrinkage and predictive and discriminative performance, to select the best model for mapping health utilities using the whole dataset.

Results

Overall, the most important factors of impaired HRQoL and health utilities were higher age, female gender, obesity, poor glycemic control and increased duration of insulin treatment. History and increasing concurrence of all complications assessed were associated with exacerbated HRQoL problems, decreased health utilities and diminished health state, although it was not always statistically significant. The highest disutilities were associated with stroke (− 0.082), diabetic retinopathy (− 0.066), diabetic neuropathy (− 0.051) and severe hypoglycemia (− 0.050).

Conclusions

The deleterious impact of comorbidities on insulin-dependent T2DM subjects’ HRQoL has been confirmed and clinicians should adapt the priorities of disease management accordingly. The derived health utility estimates may be valuable for conducting economic evaluations of interventions in the area of T2DM when data are not available.

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

Similar content being viewed by others

References

  1. Whiting, D.R., Guariguata, L., Weil, C., Shaw, J.: IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res. Clin. Pract. 94(3), 311–321 (2011)

    PubMed  Google Scholar 

  2. Fonseca, V.: Defining and characterising progression of type 2 diabetes. Br J Diab Vasc Dis 8, S3 (2008)

    CAS  Google Scholar 

  3. Rubin, R.R., Peyrot, M.: Quality of life and diabetes. Diabetes Metab. Res. Rev. 15(3), 205–218 (1999). https://doi.org/10.1002/(sici)1520-7560(199905/06)15:3%3c205:aid-dmrr29%3e3.0.co;2-o

    Article  CAS  PubMed  Google Scholar 

  4. International Diabetes Federation.: IDF Diabetes Atlas. International Diabetes Federation. http://www.idf.org/diabetesatlas (2013). Accessed 17 Jan 2018

  5. O’Shea, M.P., Teeling, M., Bennett, K.: Comorbidity, health-related quality of life and self-care in type 2 diabetes: a cross-sectional study in an outpatient population. Ir. J. Med. Sci. (2014). https://doi.org/10.1007/s11845-014-1190-4

    Article  PubMed  Google Scholar 

  6. National Institute for Health and Clinical Excellence.: Clinical Guideline 87: Type 2 diabetes: the management of type 2 diabetes. http://www.nice.org.uk/guidance/ta203/resources/nice-recommends-liraglutide-for-type-2-diabetes-mellitus4. (2009). Accessed 17 Jan 2018

  7. Kontodimopoulos, N., Pappa, E., Chadjiapostolou, Z., Arvanitaki, E., Papadopoulos, A.A., Niakas, D.: Comparing the sensitivity of EQ-5D, SF-6D and 15D utilities to the specific effect of diabetic complications. Eur. J. Health Econ. 13(1), 111–120 (2012). https://doi.org/10.1007/s10198-010-0290-y

    Article  PubMed  Google Scholar 

  8. Ali, S., Stone, M., Skinner, T.C., Robertson, N., Davies, M., Khunti, K.: The association between depression and health-related quality of life in people with type 2 diabetes: a systematic literature review. Diabetes/Metab. Res. Rev. 26(2), 75–89 (2010)

    Google Scholar 

  9. Anderson, R.M., Fitzgerald, J.T., Wisdom, K., Davis, W.K., Hiss, R.G.: A comparison of global versus disease-specific quality-of-life measures in patients with NIDDM. Diabetes Care 20(3), 299–305 (1997)

    CAS  PubMed  Google Scholar 

  10. Beaudet, A., Clegg, J., Thuresson, P.-O., Lloyd, A., McEwan, P.: Review of utility values for economic modeling in type 2 diabetes. Value Health 17(4), 462–470 (2014)

    PubMed  Google Scholar 

  11. Torrance, G.W., Furlong, W., Feeny, D.: Health utility estimation. (2002).

  12. Glasziou, P., Alexander, J., Beller, E., Clarke, P.: Which health-related quality of life score? A comparison of alternative utility measures in patients with Type 2 diabetes in the ADVANCE trial. Health Qual. Life Outcomes 5(5), 21 (2007)

    PubMed  PubMed Central  Google Scholar 

  13. Longworth, L., Rowen, D.: Mapping to obtain EQ-5D utility values for use in NICE health technology assessments. Value Health 16(1), 202–210 (2013)

    PubMed  Google Scholar 

  14. Yfantopoulos, J.N., Chantzaras, A.E.: Validation and comparison of the psychometric properties of the EQ-5D-3L and EQ-5D-5L instruments in Greece. Eur. J. Health Econ. 18(4), 519–531 (2017)

    PubMed  Google Scholar 

  15. Rabin, R., Oemar, M., Oppe, M., Janssen, B., Herdman, M.: EQ-5D-5L User Guide: Basic information on how to use the EQ-5D-5L instrument. Version 1.0. EuroQol Group, Rotterdam (2011)

    Google Scholar 

  16. Herdman, M., Gudex, C., Lloyd, A., Janssen, M.F., Kind, P., Parkin, D., Bonsel, G., Badia, X.: Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual. Life Res. 20(10), 1727–1736 (2011). https://doi.org/10.1007/s11136-011-9903-x

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Dolan, P., Gudex, C., Kind, P., Williams, A.: A social tariff for EuroQol: results from a UK general population survey. CHE Discussion Paper. Centre for Health Economics, York (1995)

  18. Yfantopoulos, J., Chantzaras, A., Kontodimas, S.: Assessment of the psychometric properties of the EQ-5D-3L and EQ-5D-5L instruments in psoriasis. Arch. Dermatol. Res. (2017). https://doi.org/10.1007/s00403-017-1743-2

    Article  PubMed  Google Scholar 

  19. Van Hout, B., Janssen, M.F., Feng, Y.S., Kohlmann, T., Busschbach, J., Golicki, D., Lloyd, A., Scalone, L., Kind, P., Pickard, A.S.: Interim scoring for the EQ-5D-5L: mapping the EQ-5D-5L to EQ-5D-3L value sets. Value Health 15(5), 708–715 (2012). https://doi.org/10.1016/j.jval.2012.02.008

    Article  PubMed  Google Scholar 

  20. Yang, F., Devlin, N., Luo, N.: Cost-utility analysis using EQ-5D-5L data: does how the utilities are derived matter? Value Health 22(1), 45–49 (2019). https://doi.org/10.1016/j.jval.2018.05.008

    Article  PubMed  Google Scholar 

  21. Hosmer Jr, D.W., Lemeshow, S., Sturdivant, R.X.: Applied logistic regression, 3rd ed. Wiley, Hoboken, NJ (2013)

    Google Scholar 

  22. Longworth, L., Yang, Y., Young, T., Mulhern, B., Hernandez Alava, M., Mukuria, C., Rowen, D., Tosh, J., Tsuchiya, A., Evans, P., Devianee Keetharuth, A., Brazier, J.: Use of generic and condition-specific measures of health-related quality of life in NICE decision-making: a systematic review, statistical modelling and survey. Health Technol. Assess. (Winchester, England) 18(9), 1–224 (2014). https://doi.org/10.3310/hta18090

    Article  Google Scholar 

  23. Kent, S., Gray, A., Schlackow, I., Jenkinson, C., McIntosh, E.: Mapping from the Parkinson’s disease questionnaire PDQ-39 to the Generic EuroQol EQ-5D-3L: the value of mixture models. Med. Decis. Making 35(7), 902–911 (2015). https://doi.org/10.1177/0272989X15584921

    Article  PubMed  Google Scholar 

  24. Chuang, L.H., Kind, P.: Converting the SF-12 into the EQ-5D: an empirical comparison of methodologies. PharmacoEconomics 27(6), 491–505 (2009). https://doi.org/10.2165/00019053-200927060-00005

    Article  PubMed  Google Scholar 

  25. Wee, H.-L., Cheung, Y.-B., Li, S.-C., Fong, K.-Y., Thumboo, J.: The impact of diabetes mellitus and other chronic medical conditions on health-related Quality of Life: is the whole greater than the sum of its parts? Health Qual. Life Outcomes 3(1), 2 (2005)

    PubMed  PubMed Central  Google Scholar 

  26. Pullenayegum, E.M., Tarride, J.-E., Xie, F., O’Reilly, D.: Calculating utility decrements associated with an adverse event marginal Tobit and CLAD coefficients should be used with caution. Med. Decis. Mak. 31(6), 790–799 (2011)

    Google Scholar 

  27. O’Reilly, D.J., Xie, F., Pullenayegum, E., Gerstein, H.C., Greb, J., Blackhouse, G.K., Tarride, J.-E., Bowen, J., Goeree, R.A.: Estimation of the impact of diabetes-related complications on health utilities for patients with type 2 diabetes in Ontario, Canada. Qual. Life Res. 20(6), 939–943 (2011)

    PubMed  Google Scholar 

  28. Pullenayegum, E.M., Tarride, J.E., Xie, F., Goeree, R., Gerstein, H.C., O’Reilly, D.: Analysis of health utility data when some subjects attain the upper bound of 1: are Tobit and CLAD models appropriate? Value Health 13(4), 487–494 (2010)

    PubMed  Google Scholar 

  29. Quah, J.H., Luo, N., Ng, W.Y., How, C.H., Tay, E.G.: Health-related quality of life is associated with diabetic complications, but not with short-term diabetic control in primary care. Ann. Acad. Med. Singap. 40(6), 276 (2011)

    PubMed  Google Scholar 

  30. Solli, O., Stavem, K., Kristiansen, I.: Health-related quality of life in diabetes: the associations of complications with EQ-5D scores. Health Qual. Life Outcomes 8(1), 18 (2010)

    PubMed  PubMed Central  Google Scholar 

  31. Ramsey, J.B.: Tests for specification errors in classical linear least-squares regression analysis. J. R. Stat. Soc. Ser. B (Methodological) 31(2), 350–371 (1969)

    Google Scholar 

  32. Pregibon, D.: Data analytic methods for generalized linear models. Ph.D. Dissertation, University of Toronto (1979)

  33. Bilger, M., Manning, W.G.: Measuring overfitting in nonlinear models: a new method and an application to health expenditures. Health Econ. 24(1), 75–85 (2015)

    PubMed  Google Scholar 

  34. Dakin, H., Petrou, S., Haggard, M., Benge, S., Williamson, I.: Mapping analyses to estimate health utilities based on responses to the OM8-30 Otitis Media Questionnaire. Qual. Life Res. 19(1), 65–80 (2010). https://doi.org/10.1007/s11136-009-9558-z

    Article  PubMed  Google Scholar 

  35. Khan, K.A., Madan, J., Petrou, S., Lamb, S.E.: Mapping between the Roland Morris Questionnaire and generic preference-based measures. Value Health 17(6), 686–695 (2014)

    PubMed  Google Scholar 

  36. IBM Corp.: IBM SPSS Statistics for Windows. IBM Corp., Armonk (2015)

    Google Scholar 

  37. StataCorp: Stata Statistical Software. StataCorp LP, College Station (2013)

    Google Scholar 

  38. Venkataraman, K., Wee, H.L., Leow, M.K., Tai, E.S., Lee, J., Lim, S.C., Tavintharan, S., Wong, T.Y., Ma, S., Heng, D., Thumboo, J.: Associations between complications and health-related quality of life in individuals with diabetes. Clin. Endocrinol. (Oxf) 78(6), 865–873 (2013). https://doi.org/10.1111/j.1365-2265.2012.04480.x

    Article  CAS  Google Scholar 

  39. Javanbakht, M., Abolhasani, F., Mashayekhi, A., Baradaran, H.R., Jahangiri noudeh, Y.: Health related quality of life in patients with type 2 diabetes mellitus in Iran: a national survey. PloS one 7(8), e44526 (2012). https://doi.org/10.1371/journal.pone.0044526

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Sepúlveda, E., Poínhos, R., Constante, M., Pais-Ribeiro, J., Freitas, P., Carvalho, D.: Relationship between chronic complications, hypertension, and health-related quality of life in Portuguese patients with type 2 diabetes. Diabetes, Metab. Syndr. Obes. Targets Ther. 8, 535 (2015)

    Google Scholar 

  41. U.K. Prospective Diabetes Study Group: Quality of life in type 2 diabetic patients is affected by complications but not by intensive policies to improve blood glucose or blood pressure control (UKPDS 37). Diabetes Care 22(7), 1125–1136 (1999)

    Google Scholar 

  42. Matza, L.S., Boye, K.S., Yurgin, N., Brewster-Jordan, J., Mannix, S., Shorr, J.M., Barber, B.L.: Utilities and disutilities for type 2 diabetes treatment-related attributes. Qual. Life Res. 16(7), 1251–1265 (2007). https://doi.org/10.1007/s11136-007-9226-0

    Article  PubMed  Google Scholar 

  43. Kiadaliri, A.A., Gerdtham, U.-G., Eliasson, B., Gudbjörnsdottir, S., Svensson, A.-M., Carlsson, K.S.: Health utilities of type 2 diabetes-related complications: a cross-sectional study in Sweden. Int. J. Environ. Res. Public Health 11(5), 4939–4952 (2014)

    PubMed  PubMed Central  Google Scholar 

  44. Clarke, P., Gray, A., Holman, R.: Estimating utility values for health states of type 2 diabetic patients using the EQ-5D (UKPDS 62). Med. Decis. Mak. 22(4), 340–349 (2002)

    Google Scholar 

  45. de Visser, C.L., Bilo, H.J., Groenier, K.H., de Visser, W., Jong Meyboom-de, B.: The influence of cardiovascular disease on quality of life in type 2 diabetics. Qual. Life Res. 11(3), 249–261 (2002)

    PubMed  Google Scholar 

  46. Coffey, J.T., Brandle, M., Zhou, H., Marriott, D., Burke, R., Tabaei, B.P., Engelgau, M.M., Kaplan, R.M., Herman, W.H.: Valuing health-related quality of life in diabetes. Diabetes Care 25(12), 2238–2243 (2002)

    PubMed  Google Scholar 

  47. Miksch, A., Hermann, K., Rolz, A., Joos, S., Szecsenyi, J., Ose, D., Rosemann, T.: Additional impact of concomitant hypertension and osteoarthritis on quality of life among patients with type 2 diabetes in primary care in Germany—a cross-sectional survey. Health Qual Life Outcomes 7, 19 (2009). https://doi.org/10.1186/1477-7525-7-19

    Article  PubMed  PubMed Central  Google Scholar 

  48. Long, A.N., Dagogo-Jack, S.: The comorbidities of diabetes and hypertension: mechanisms and approach to target organ protection. J. Clin. Hypertens. (Greenwich, Conn.) 13(4), 244–251 (2011). https://doi.org/10.1111/j.1751-7176.2011.00434.x

    Article  Google Scholar 

  49. Alva, M., Gray, A., Mihaylova, B., Clarke, P.: The effect of diabetes complications on health-related quality of life: the importance of longitudinal data to address patient heterogeneity. Health Econ. 23(4), 487–500 (2014)

    PubMed  Google Scholar 

  50. Kontodimopoulos, N., Pappa, E., Niakas, D., Yfantopoulos, J., Dimitrakaki, C., Tountas, Y.: Validity of the EuroQoL (EQ-5D) instrument in a Greek general population. Value Health 11(7), 1162–1169 (2008)

    PubMed  Google Scholar 

  51. Papadopoulos, A.A., Kontodimopoulos, N., Frydas, A., Ikonomakis, E., Niakas, D.: Predictors of health-related quality of life in type II diabetic patients in Greece. BMC Public Health 7(1), 186 (2007). https://doi.org/10.1186/1471-2458-7-186

    Article  PubMed  PubMed Central  Google Scholar 

  52. Tan, M.C., Ng, O.C., Wong, T.W., Hejar, A.R., Anthony, J., Sintonen, H.: The association of cardiovascular disease with impaired health-related quality of life among patients with type 2 diabetes mellitus. Singap. Med. J. 55(4), 209 (2014)

    Google Scholar 

  53. Grant, J.F., Hicks, N., Taylor, A.W., Chittleborough, C.R., Phillips, P.J.: Gender-specific epidemiology of diabetes: a representative cross-sectional study. Int. J. Equity Health 8(1), 6 (2009)

    PubMed  PubMed Central  Google Scholar 

  54. Patel, A., MacMahon, S., Chalmers, J., Neal, B., Billot, L., Woodward, M., Marre, M., Cooper, M., Glasziou, P., Grobbee, D., Hamet, P., Harrap, S., Heller, S., Liu, L., Mancia, G., Mogensen, C.E., Pan, C., Poulter, N., Rodgers, A., Williams, B., Bompoint, S., de Galan, B.E., Joshi, R., Travert, F.: Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes. N. England J. Med. 358(24), 2560–2572 (2008). https://doi.org/10.1056/NEJMoa0802987

    Article  CAS  Google Scholar 

  55. Stratton, I.M., Adler, A.I., Neil, H.A., Matthews, D.R., Manley, S.E., Cull, C.A., Hadden, D., Turner, R.C., Holman, R.R.: Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ 321(7258), 405–412 (2000)

    CAS  PubMed  PubMed Central  Google Scholar 

  56. Brown, A., Reynolds, L.R., Bruemmer, D.: Intensive glycemic control and cardiovascular disease: an update. Nat. Rev. Cardiol. 7(7), 369–375 (2010)

    CAS  PubMed  Google Scholar 

  57. The Diabetes Control and Complications Trial Research Group: The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N. Engl. J. Med. 329, 977–986 (1995)

    Google Scholar 

  58. Testa, M.A., Simonson, D.C.: Health economic benefits and quality of life during improved glycemic control in patients with type 2 diabetes mellitus: a randomized, controlled, double-blind trial. J. Am. Med. Assoc. 280(17), 1490–1496 (1998). https://doi.org/10.1001/jama.280.17.1490

    Article  CAS  Google Scholar 

  59. UK Prospective Diabetes Study Group: Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). The Lancet 352(9131), 837–853 (1998)

    Google Scholar 

  60. Zhang, P., Brown, M.B., Bilik, D., Ackermann, R.T., Li, R., Herman, W.H.: Health utility scores for people with type 2 diabetes in US managed care health plans results from Translating Research Into Action for Diabetes (TRIAD). Diabetes Care 35(11), 2250–2256 (2012)

    PubMed  PubMed Central  Google Scholar 

  61. Whitehurst, D.G.T., Bryan, S., Lewis, M.: Systematic review and empirical comparison of contemporaneous EQ-5D and SF-6D group mean scores. Med. Decis. Mak. 31(6), E34–E44 (2011). https://doi.org/10.1177/0272989X11421529

    Article  Google Scholar 

  62. Bourdel-Marchasson, I., Druet, C., Helmer, C., Eschwege, E., Lecomte, P., Le-Goff, M., Sinclair, A.J., Fagot-Campagna, A.: Correlates of health-related quality of life in French people with type 2 diabetes. Diabetes Res. Clin. Pract. 101(2), 226–235 (2013). https://doi.org/10.1016/j.diabres.2013.05.011

    Article  CAS  PubMed  Google Scholar 

  63. Wong, C., Lo, Y., Wong, W., Fung, C.: The associations of body mass index with physical and mental aspects of health-related quality of life in Chinese patients with type 2 diabetes mellitus: results from a cross-sectional survey. Health Qual Life Outcomes 11(1), 142 (2013)

    PubMed  PubMed Central  Google Scholar 

  64. Yfantopoulos, J.N., Chantzaras, A.: Drug policy in Greece. Value Health Reg. Issues 16, 66–73 (2018). https://doi.org/10.1016/j.vhri.2018.06.006

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors would like to thank two anonymous reviewers for their helpful comments that contributed to improving the final version of the paper.

Funding

No funding sources.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to John Yfantopoulos.

Ethics declarations

Conflict of interest

No conflict of interest declared.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PDF 202 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yfantopoulos, J., Chantzaras, A. Health-related quality of life and health utilities in insulin-treated type 2 diabetes: the impact of related comorbidities/complications. Eur J Health Econ 21, 729–743 (2020). https://doi.org/10.1007/s10198-020-01167-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10198-020-01167-y

Keywords

JEL Classification

Navigation