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Interchangeability of the EQ-5D and the SF-6D, and comparison of their psychometric properties in a spinal postoperative Spanish population

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Abstract

Objective

EuroQol-5D (EQ-5D) and Short-Form Six-Dimensions (SF-6D) are widely used to calculate quality-adjusted life-years in cost-utility analysis. The choice of the instrument could influence the results of cost-utility analysis. Our objective was to compare the psychometric properties of the EQ-5D and SF-6D in a postoperative Spanish population, as well as assess their interchangeability in a cost-utility analysis.

Design

Ambispective study.

Setting

Tertiary public hospital.

Participants

275 Spanish patients who had undergone surgery for lumbar disc herniation.

Intervention(s)

Patients completed EQ-5D-3L and Short-Form 36 (SF-36v2) questionnaires. Internal consistency, floor and ceiling effects, agreement, and construct validity (convergent validity, including dimension-to-dimension correlations, and “known groups” validity) were assessed. The Spanish tariffs were applied.

Main outcome measure(s)

Cronbach’s α coefficient, Spearman’s rank correlation coefficient, Lin’s concordance correlation coefficient, intraclass correlation coefficient and Bland–Altman plot.

Results

Main findings were: (a) lack of agreement between EQ-5D and SF-6D utilities (Lin’s concordance correlation coefficient: 0.664 [95% CI: 0.600–0.720]; the Bland–Altman plot showed a mean difference of 0.0835 and wide limits of agreement [− 0.2602–0.4272]). (b) Lack of correlation between domains that theoretically measure similar aspects of quality of life, with the exception of “pain” domain.

Conclusions

The preference-based EQ-5D and SF-6D instruments showed valid psychometric properties to assess generic outcome in a Spanish population who had undergone surgery for lumbar disc herniation; however, utility scores derived from the measures were different. Thus, these two instruments cannot be used interchangeably to perform a cost-utility analysis, and they should both be included in sensitivity analyses.

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References

  1. EuroQol Group: EuroQol—a new facility for the measurement of health-related quality of life. Health Policy 16, 199–208 (1990). https://doi.org/10.1016/0168-8510(90)90421-9

    Article  Google Scholar 

  2. Brazier, J., Roberts, J., Deverill, M.: The estimation of a preference-based measure of health from the SF-36. J. Health Econ. 21, 271–292 (2002). https://doi.org/10.1016/S0167-6296(01)00130-8

    Article  PubMed  Google Scholar 

  3. Ware, J.E., Sherbourne, C.D.: The MOS 36-Item Short-Form Health Survey (SF-36). I. Conceptual framework and item selection. Med Care 30, 473–483 (1992). https://doi.org/10.2307/3765916

    Article  PubMed  Google Scholar 

  4. Ware, J., Kosinski, M., Keller, S.D.: A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med. Care 34, 220–233 (1996)

    Article  Google Scholar 

  5. EuroQol Research Foundation: EQ-5D-3L user guide. https://euroqol.org/docs/EQ-5D-3L-User-Guide.pdf (2018). Accessed 1 June 2018

  6. University of Sheffield. https://www.sheffield.ac.uk/scharr/sections/heds/mvh/sf-6d/faqs (2018). Accessed 1 June 2018

  7. Sach, T.H., Barton, G.R., Jenkinson, C., Doherty, M., Avery, A.J., Muir, K.R.: Comparing cost-utility estimates. Med. Care 47, 889–894 (2009). https://doi.org/10.1097/MLR.0b013e3181a39428

    Article  PubMed  Google Scholar 

  8. Grieve, R., Grishchenko, M., Cairns, J.: SF-6D versus EQ-5D: reasons for differences in utility scores and impact on reported cost-utility. Eur. J. Health Econ. 10, 15–23 (2009). https://doi.org/10.1007/s10198-008-0097-2

    Article  PubMed  Google Scholar 

  9. Joore, M., Brunenberg, D., Nelemans, P., Wouters, E., Kuijpers, P., Honig, A., Willems, D., De Leeuw, P., Severens, J., Boonen, A.: The impact of differences in EQ-5D and SF-6D utility scores on the acceptability of cost-utility ratios: results across five trial-based cost-utility studies. Value Health 13, 222–229 (2010). https://doi.org/10.1111/j.1524-4733.2009.00669.x

    Article  PubMed  Google Scholar 

  10. McDonough, C.M., Tosteson, A.N.A.: Measuring Preferences for cost-utility analysis. Pharmacoeconomics 25, 93–106 (2007). https://doi.org/10.2165/00019053-200725020-00003

    Article  PubMed  PubMed Central  Google Scholar 

  11. Kontodimopoulos, N., Pappa, E., Papadopoulos, A.A., Tountas, Y., Niakas, D.: Comparing SF-6D and EQ-5D utilities across groups differing in health status. Qual. Life Res. 18, 87–97 (2009). https://doi.org/10.1007/s11136-008-9420-8

    Article  PubMed  Google Scholar 

  12. Petrou, S., Hockley, C.: An investigation into the empirical validity of the EQ-5D and SF-6D based on hypothetical preferences in a general population. Health Econ. 14, 1169–1189 (2005). https://doi.org/10.1002/hec.1006

    Article  PubMed  Google Scholar 

  13. Barton, G.R., Sach, T.H., Avery, A.J., Jenkinson, C., Doherty, M., Whynes, D.K., Muir, K.R.: A comparison of the performance of the EQ-5D and SF-6D for individuals aged ≥ 45 years. Health Econ. 17, 815–832 (2008). https://doi.org/10.1002/hec.1298

    Article  PubMed  Google Scholar 

  14. Boonen, A., Van Der Heijde, D., Landewé, R., Van Tubergen, A., Mielants, H., Dougados, M., Van Der Linden, S.: How do the EQ-5D, SF-6D and the well-being rating scale compare in patients with ankylosing spondylitis? Ann. Rheum. Dis. 66, 771–777 (2007). https://doi.org/10.1136/ard.2006.060384

    Article  PubMed  PubMed Central  Google Scholar 

  15. Kwakkenbos, L., Fransen, J., Vonk, M.C., Becker, E.S., Jeurissen, M., van den Hoogen, F.H.J., van den Ende, C.H.M.: A comparison of the measurement properties and estimation of minimal important differences of the EQ-5D and SF-6D utility measures in patients with systemic sclerosis. Clin. Exp. Rheumatol. 31(2 Suppl 76), 50–56 (2013)

    PubMed  Google Scholar 

  16. Mulhern, B., Meadows, K.: The construct validity and responsiveness of the EQ-5D, SF-6D and diabetes health profile-18 in type 2 diabetes. Health Qual. Life Outcomes 12, 1–10 (2014). https://doi.org/10.1186/1477-7525-12-42

    Article  Google Scholar 

  17. Obradovic, M., Lal, A., Liedgens, H.: Validity and responsiveness of EuroQol-5 dimension (EQ-5D) versus Short Form-6 dimension (SF-6D) questionnaire in chronic pain. Health Qual. Life Outcomes 11, 1 (2013). https://doi.org/10.1186/1477-7525-11-110

    Article  Google Scholar 

  18. Salaffi, F., Carotti, M., Ciapetti, A., Gasparini, S., Grassi, W.: A comparison of utility measurements using EQ-5D and SF-6D preference-based generic instruments in patients with rheumatoid arthritis. Clin. Exp. Rheumatol. 29, 661–671 (2011)

    CAS  PubMed  Google Scholar 

  19. Seymour, J., McNamee, P., Scott, A., Tinelli, M.: Shedding new light onto the ceiling and floor? A quantile regression approach to compare EQ-5D and SF-6D responses. Health Econ. 19, 683–696 (2010). https://doi.org/10.1002/hec.1505

    Article  PubMed  Google Scholar 

  20. Stavem, K., Frøland, S.S., Hellum, K.B.: Comparison of preference-based utilities of the 15D, EQ-5D and SF-6D in patients with HIV/AIDS. Qual. Life Res. 14, 971–980 (2005). https://doi.org/10.1007/s11136-004-3211-7

    Article  PubMed  Google Scholar 

  21. van Stel, H.F., Buskens, E.: Comparison of the SF-6D and the EQ-5D in patients with coronary heart disease. Health Qual. Life Outcomes 4, 1–9 (2006). https://doi.org/10.1186/1477-7525-4-20

    Article  Google Scholar 

  22. Whitehurst, D.G.T., Norman, R., Brazier, J.E., Viney, R.: Comparison of contemporaneous EQ-5D and SF-6D responses using scoring algorithms derived from similar valuation exercises. Value Health 17, 570–577 (2014). https://doi.org/10.1016/j.jval.2014.03.1720

    Article  PubMed  Google Scholar 

  23. Wu, J., Han, Y., Zhao, F.L., Zhou, J., Chen, Z., Sun, H.: Validation and comparison of EuroQoL-5 dimension (EQ-5D) and Short Form-6 dimension (SF-6D) among stable angina patients. Health Qual. Life Outcomes 12, 1–11 (2014). https://doi.org/10.1186/s12955-014-0156-6

    Article  CAS  Google Scholar 

  24. Brazier, J., Roberts, J., Tsuchiya, A., Busschbach, J.: A comparison of the EQ-5D and SF-6D across seven patient groups. Health Econ. 13, 873–884 (2004). https://doi.org/10.1002/hec.866

    Article  PubMed  Google Scholar 

  25. Ferreira, L.N., Ferreira, P.L., Pereira, L.N.: Comparing the performance of the SF-6D and the EQ-5D in different patient groups. Acta Med. Port. 27, 236 (2014). https://doi.org/10.1016/j.resuscitation.2012.04.001

    Article  CAS  PubMed  Google Scholar 

  26. García-Gordillo, M.Á., Del Pozo-Cruz, B., Adsuar, J.C., Cordero-Ferrera, J.M., Abellán-Perpiñán, J.M., Sánchez-Martínez, F.I.: Validation and comparison of EQ-5D-3L and SF-6D instruments in a Spanish Parkinson’s disease population sample. Nutr. Hosp. 32, 2808–2821 (2015). https://doi.org/10.3305/nh.2015.32.6.9765

    Article  PubMed  Google Scholar 

  27. Gaujoux-Viala, C., Rat, A.-C., Guillemin, F., Flipo, R.-M., Fardellone, P., Bourgeois, P., Fautrel, B.: Comparison of the EQ-5D and the SF-6D utility measures in 813 patients with early arthritis: results from the ESPOIR cohort. J. Rheumatol. 38, 1576–1584 (2011). https://doi.org/10.3899/jrheum.101006

    Article  PubMed  Google Scholar 

  28. Goodwin, P.C., Ratcliffe, J., Morris, J., Morrissey, M.C.: Using the knee-specific Hughston Clinic Questionnaire, EQ-5D and SF-6D following arthroscopic partial meniscectomy surgery: a comparison of psychometric properties. Qual. Life Res. 20, 1437–1446 (2011). https://doi.org/10.1007/s11136-011-9880-0

    Article  PubMed  Google Scholar 

  29. Huppertz-Hauss, G., Aas, E., Lie Høivik, M., Langholz, E., Odes, S., Smastuen, M., Stockbrugger, R., Hoff, G., Moum, B., Bernklev, T.: Comparison of the multiattribute utility instruments EQ-5D and SF-6D in a Europe-wide population-based cohort of patients with inflammatory bowel disease 10 years after diagnosis. Gastroenterol. Res. Pract. (2016). https://doi.org/10.1155/2016/5023973

    Article  PubMed  PubMed Central  Google Scholar 

  30. Kanters, T.A., Redekop, W.K., Kruijshaar, M.E., van der Ploeg, A.T., Rutten-van Mölken, M.P.M.H., Hakkaart, L.: Comparison of EQ-5D and SF-6D utilities in Pompe disease. Qual. Life Res. 24, 837–844 (2015). https://doi.org/10.1007/s11136-014-0833-2

    Article  CAS  PubMed  Google Scholar 

  31. Kontodimopoulos, N., Argiriou, M., Theakos, N., Niakas, D.: The impact of disease severity on EQ-5D and SF-6D utility discrepancies in chronic heart failure. Eur. J. Health Econ. 12, 383–391 (2011). https://doi.org/10.1007/s10198-010-0252-4

    Article  PubMed  Google Scholar 

  32. Dolan, P., Gudex, C., Kind, P., Williams, A.: A social tariff for EuroQol: results from a UK general population survey. Work. Pap. (1995)

  33. Badia, X., Roset, M., Monstserrat, S., Herdman, M., Segura, A.: La versión española del EuroQol: descripción y aplicaciones. Med. Clín. 112, 79–85 (1999)

    Google Scholar 

  34. Abellán Perpiñán, J.M., Sánchez Martínez, F.I., Martínez Pérez, J.E., Méndez, I.: Lowering the “floor” on the SF-6D scoring algorithm using a lottery equivalent method. Health Econ. 21, 1271–1285 (2012). https://doi.org/10.1002/hec.1792

    Article  PubMed  Google Scholar 

  35. Leidl, R., Reitmeir, P.: A value set for the EQ-5D based on experienced health states: development and testing for the German population. Pharmacoeconomics 29, 521–534 (2011). https://doi.org/10.2165/11538380-000000000-00000

    Article  PubMed  Google Scholar 

  36. Søgaard, R., Christensen, F.B., Videbæk, T.S., Bünger, C., Christiansen, T.: Interchangeability of the EQ-5D and the SF-6D in long-lasting low back pain. Value Health 12, 606–612 (2009). https://doi.org/10.1111/j.1524-4733.2008.00466.x

    Article  PubMed  Google Scholar 

  37. Johnsen, L.G., Hellum, C., Nygaard, Ø.P., Storheim, K., Brox, J.I., Rossvoll, I., Leivseth, G., Grotle, M.: Comparison of the SF6D, the EQ5D, and the Oswestry Disability Index in patients with chronic low back pain and degenerative disc disease. BMC Musculoskelet. Disord. (2013). https://doi.org/10.1186/1471-2474-14-148

    Article  PubMed  PubMed Central  Google Scholar 

  38. McDonough, C.M., Grove, M.R., Tosteson, T.D., Lurie, J.D., Hilibrand, A.S., Tosteson, A.N.A.: Comparison of EQ-5D, HUI, and SF-36-derived societal health state values among Spine Patient Outcomes Research Trial (SPORT) participants. Qual. Life Res. 14, 1321–1332 (2005). https://doi.org/10.1007/s11136-004-5743-2

    Article  PubMed  PubMed Central  Google Scholar 

  39. McDonough, C.M., Tosteson, T.D., Tosteson, A.N.A., Jette, A.M., Grove, M.R., Weinstein, J.N.: A longitudinal comparison of 5 preference-weighted health state classification systems in persons with intervertebral disk herniation. Med. Decis. Mak. 31, 270–280 (2011). https://doi.org/10.1177/0272989X10380924

    Article  Google Scholar 

  40. Fairbank, J.C., Couper, J., Davies, J.B., O’Brien, J.P.: The Oswestry low back pain disability questionnaire. Physiotherapy 66, 271–273 (1980)

    CAS  PubMed  Google Scholar 

  41. University of Sheffield. https://www.shef.ac.uk/scharr/sections/heds/mvh/sf-6d (2018). Accessed 1 June 2018

  42. Terwee, C.B., Bot, S.D.M., de Boer, M.R., van der Windt, D.A.W.M., Knol, D.L., Dekker, J., Bouter, L.M., de Vet, H.C.W.: Quality criteria were proposed for measurement properties of health status questionnaires. J. Clin. Epidemiol. 601, 34–42 (2007). https://doi.org/10.1016/j.jclinepi.2006.03.012

    Article  Google Scholar 

  43. Cronbach, L.J.: Coefficient alpha and the internal structure of tests. Psychometrika 16, 297–334 (1951). https://doi.org/10.1007/BF02310555

    Article  Google Scholar 

  44. Nunnally, J., Bernstein, I.: Psychometric theory. McGraw-Hill, New York (1994)

    Google Scholar 

  45. Loiacono, E.T., Watson, R.T., Goodhue, D.L.: WEBQUALTM: a measure of web site quality (2002). https://www.researchgate.net/publication/248412208_WebQual_A_Measure_of_Web_Site_Quality. Accessed 1 Sept 2018

  46. Gliem, J., Gliem, R.: Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. In: University, O.S. (ed.) Midwest research to practice conference in adult. Continuing and Community Education, Columbus (2003)

    Google Scholar 

  47. Ladhari, R.: Developing e-service quality scales: a literature review. J. Retail. Consum. Serv. 17, 464–477 (2010). https://doi.org/10.1016/j.jretconser.2010.06.003

    Article  Google Scholar 

  48. McHorney, C., Tarlov, A.R.: Individual-patient monitoring in clinical practice: are available health status surveys adequate? On JSTOR. Qual. Life Res. 4, 293–307 (1995)

    Article  CAS  Google Scholar 

  49. Andresen, E.M.: Criteria for assessing the tools of disability outcomes research. Arch. Phys. Med. Rehabil. 81, S15–S20 (2000). https://doi.org/10.1053/apmr.2000.20619

    Article  CAS  PubMed  Google Scholar 

  50. Lin, L.I.: A concordance correlation coefficient to evaluate reproducibility. Biometrics 45, 255 (1989). https://doi.org/10.2307/2532051

    Article  CAS  PubMed  Google Scholar 

  51. McBride, G.B.: A proposal for strength-of-agreement criteria for Lin’s concordance correlation coefficient. NIWA client report: HAM2005-062. (2005)

  52. McGraw, K.O., Wong, S.P.: Forming inferences about some intraclass correlation coefficients. Psychol. Methods 1, 30–46 (1996). https://doi.org/10.1037/1082-989X.1.1.30

    Article  Google Scholar 

  53. Koo, T.K., Li, M.Y.: A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J. Chiropr. Med. 15, 155–163 (2016). https://doi.org/10.1016/j.jcm.2016.02.012

    Article  PubMed  PubMed Central  Google Scholar 

  54. Bland, J.M., Altman, D.G.: Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1, 307–310 (1986). https://doi.org/10.1016/S0140-6736(86)90837-8

    Article  CAS  PubMed  Google Scholar 

  55. Palos, G., Mendoza, T., Mobley, G., Cantor, S., Cleeland, C.: Asking the community about cutpoints used to describe mild, moderate, and severe pain. J. Pain. 7, 49–56 (2006). https://doi.org/10.1016/j.jpain.2005.07.012

    Article  PubMed  Google Scholar 

  56. Drummond, M.: Introducing economic and quality of life measurements into clinical studies. Ann. Med. 33, 344–349 (2001). https://doi.org/10.3109/07853890109002088

    Article  CAS  PubMed  Google Scholar 

  57. O’Brien, B.J., Spath, M., Blackhouse, G., Severens, J.L., Dorian, P., Brazier, J.: A view from the bridge: agreement between the SF-6D utility algorithm and the Health Utilities Index. Health Econ. 12, 975–981 (2003). https://doi.org/10.1002/hec.789

    Article  PubMed  Google Scholar 

  58. Walters, S.J., Brazier, J.E.: Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D. Qual. Life Res. 14, 1523–1532 (2005)

    Article  Google Scholar 

  59. Longworth, L., Bryan, S.: An empirical comparison of EQ-5D and SF-6D in liver transplant patients. Health Econ. 12, 1061–1067 (2003). https://doi.org/10.1002/hec.787

    Article  PubMed  Google Scholar 

  60. Lamers, L.M., Bouwmans, C.A.M., van Straten, A., Donker, M.C.H., Hakkaart, L.: Comparison of EQ-5D and SF-6D utilities in mental health patients. Health Econ. 15, 1229–1236 (2006). https://doi.org/10.1002/hec.1125

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

The authors thank Fernando Andrés Petrel (Clinical Research Support Unit, General University Hospital of Albacete, Spain) for his invaluable help with the statistical analysis.

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Selva-Sevilla, C., Ferrara, P. & Gerónimo-Pardo, M. Interchangeability of the EQ-5D and the SF-6D, and comparison of their psychometric properties in a spinal postoperative Spanish population. Eur J Health Econ 21, 649–662 (2020). https://doi.org/10.1007/s10198-020-01161-4

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