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Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer

Open access
Pickard, A Simon, Neary, Maureen P, Cella, David·2007·Health and Quality of Life Outcomes

Abstract

BACKGROUND: Understanding what constitutes an important difference on a HRQL measure is critical to its interpretation. The aim of this study was to provide a range of estimates of minimally important differences (MIDs) in EQ-5D scores in cancer and to determine if estimates are comparable in lung cancer. METHODS: A retrospective analysis was conducted on cross-sectional data collected from 534 cancer patients, 50 of whom were lung cancer patients. A range of minimally important differences (MIDs) in EQ-5D index-based utility (UK and US) scores and VAS scores were estimated using both anchor-based and distribution-based (1/2 standard deviation and standard error of the measure) approaches. Groups were anchored using Eastern Cooperative Oncology Group performance status (PS) ratings and FACT-G total score-based quintiles. RESULTS: For UK-utility scores, MID estimates based on PS ranged from 0.10 to 0.12 both for all cancers and for lung cancer subgroup. Using FACT-G quintiles, MIDs were 0.09 to 0.10 for all cancers, and 0.07 to 0.08 for lung cancer. For US-utility scores, MIDs ranged from 0.07 to 0.09 grouped by PS for all cancers and for lung cancer; when based on FACT-G quintiles, MIDs were 0.06 to 0.07 in all cancers and 0.05 to 0.06 in lung cancer. MIDs for VAS scores were similar for lung and all cancers, ranging from 8 to 12 (PS) and 7 to 10 (FACT-G quintiles). DISCUSSION: Important differences in EQ-5D utility and VAS scores were similar for all cancers and lung cancer, with the lower end of the range of estimates closer to the MID, i.e. 0.08 for UK-index scores, 0.06 for US-index scores, and 7 [corrected] for VAS scores.

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Show all 5 references

Research works printed but not linked: 19

  1. de Haes J, Curran D, Young T, Bottomley A, Flechtner H, Aaronson N, Blazeby J, Bjordal K, Brandberg Y, Greimel E, Maher J, Sprangers M, Cull A: Quality of life evaluation in oncological clinical trials - the EORTC model. The EORTC Quality of Life Study Group. Eur J Cancer 2000,36(7):821–825. 10.1016/S0959-8049(00)00007-1 · DOI
  2. Webster K, Cella D, Yost K: The Functional Assessment of Chronic Illness Therapy (FACIT) Measurement System: properties, applications, and interpretation. Health Qual Life Outcomes 2003,1(1):79. 10.1186/1477-7525-1-79 · DOI · Paper page
  3. Pickard AS, Wilke CT, Lin HW, Lloyd A: Health Utilities Using the EQ-5D in Studies of Cancer. PharmacoEconomics 2007,25(5):365–384. 10.2165/00019053-200725050-00002 · DOI · Paper page
  4. Revicki DA, Cella D, Hays RD, Sloan JA, Lenderking WR, Aaronson NK: Responsiveness and minimal important differences for patient reported outcomes. Health Qual Life Outcomes 2006, 4: 70. 10.1186/1477-7525-4-70 · DOI · Paper page
  5. Lydick E, Epstein RS: Interpretation of quality of life changes. Qual Life Res 1993,2(3):221–226. 10.1007/BF00435226 · DOI · Paper page
  6. Norman GR, Stratford P, Regehr G: Methodological problems in the retrospective computation of responsiveness to change: the lesson of Cronbach. J Clin Epidemiol 1997,50(8):869–879. 10.1016/S0895-4356(97)00097-8 · DOI
  7. Norman GR, Sridhar FG, Guyatt GH, Walter SD: Relation of distribution- and anchor-based approaches in interpretation of changes in health-related quality of life. Med Care 2001,39(10):1039–1047. 10.1097/00005650-200110000-00002 · DOI · Paper page
  8. de Vet HC, Terwee CB, Ostelo RW, Beckerman H, Knol DL, Bouter LM: Minimal changes in health status questionnaires: distinction between minimally detectable change and minimally important change. Health Qual Life Outcomes 2006, 4: 54. 10.1186/1477-7525-4-54 · DOI · Paper page
  9. Wyrwich KW, Tierney WM, Babu AN, Kroenke K, Wolinsky FD: A comparison of clinically important differences in health-related quality of life for patients with chronic lung disease, asthma, or heart disease. Health Serv Res 2005,40(2):577–591. 10.1111/j.1475-6773.2005.0l374.x · DOI
  10. Metz SM, Wyrwich KW, Babu AN, Kroenke K, Tierney WM, Wolinsky FD: A comparison of traditional and Rasch cut points for assessing clinically important change in health-related quality of life among patients with asthma. Qual Life Res 2006,15(10):1639–1649. 10.1007/s11136-006-0036-6 · DOI
  11. Steel JL, Eton DT, Cella D, Olek MC, Carr BI: Clinically meaningful changes in health-related quality of life in patients diagnosed with hepatobiliary carcinoma. Ann Oncol 2006,17(2):304–312. 10.1093/annonc/mdj072 · DOI
  12. Cella D, Eton DT, Fairclough DL, Bonomi P, Heyes AE, Silberman C, Wolf MK, Johnson DH: What is a clinically meaningful change on the Functional Assessment of Cancer Therapy-Lung (FACT-L) Questionnaire? Results from Eastern Cooperative Oncology Group (ECOG) Study 5592. J Clin Epidemiol 2002,55(3):285–295. 10.1016/S0895-4356(01)00477-2 · DOI · Paper page
  13. Cella D, Eton DT, Lai JS, Peterman AH, Merkel DE: Combining anchor and distribution-based methods to derive minimal clinically important differences on the Functional Assessment of Cancer Therapy (FACT) anemia and fatigue scales. J Pain Symptom Manage 2002,24(6):547–561. 10.1016/S0885-3924(02)00529-8 · DOI · Paper page
  14. Pickard AS, De Leon MC, Kohlmann T, Cella D, Rosenbloom S: Psychometric Comparison of the Standard EQ-5D to a 5 Level Version in Cancer Patients. Med Care 2007,45(3):259–263. 10.1097/01.mlr.0000254515.63841.81 · DOI · Paper page
  15. Dolan P: Modeling valuations for EuroQol health states. Med Care 1997,35(11):1095–1108. 10.1097/00005650-199711000-00002 · DOI
  16. Shaw JW, Johnson JA, Coons SJ: US valuation of the EQ-5D health states: development and testing of the D1 valuation model. Med Care 2005,43(3):203–220. 10.1097/00005650-200503000-00003 · DOI · Paper page
  17. Oken MM, Creech RH, Tormey DC, Horton J, Davis TE, McFadden ET, Carbone PP: Toxicity and response criteria of the Eastern Cooperative Oncology Group. Am J Clin Oncol 1982,5(6):649–655. 10.1097/00000421-198212000-00014 · DOI · Paper page
  18. Wyrwich KW, Nienaber NA, Tierney WM, Wolinsky FD: Linking clinical relevance and statistical significance in evaluating intra-individual changes in health-related quality of life. Med Care 1999,37(5):469–478. 10.1097/00005650-199905000-00006 · DOI · Paper page
  19. Gunter OH, Matschinger H, Konig HH: An item response theory model analysis to evaluate the dimensionality of the EQ-5D across six countries (abstract #1656). Accessed October 30, 2006.[ http://www.isoqol.org/2006AbstractsBook.pdf ]

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Metadata

Authors
Pickard, A. S., Neary, M. P., & Cella, D.
Venue
Health and Quality of Life Outcomes
Published
2007-12
Volume
5
Issue
1
Pages
70-70
ISSN
1477-7525 (ISSN-L)
OpenAlex
W2098428600
Cited by
929
References
5
FWCI
30.48
Type
journal article
Language
en
Open access
gold
Licence
creativecommons.org/licenses/by/2.0 (tdm)

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Pickard, A. S., Neary, M. P., & Cella, D. (2007). Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer. Health and Quality of Life Outcomes. https://doi.org/10.1186/1477-7525-5-70

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