Are the EQ-5D-3L and the ICECAP-O Responsive Among Older Adults with Impaired Mobility? Evidence from the Vancouver Falls Prevention Cohort Study

Overview

Journal Qual Life Res

Specialties Pharmacology
Rehabilitation Medicine

Date 2016 Dec 23

PMID 28005242

Citations 14

Authors

Jennifer C Davis

John R Best

Larry Dian

Karim M Khan

Chun Liang Hsu

Wency Chan

Winnie Cheung

Teresa Liu-Ambrose

Affiliations

Soon will be listed here.

Abstract

Purpose: Preference-based generic measures are gaining increased use in mobility research to assess health-related quality of life and wellbeing. Hence, we examined the responsiveness of these two measures among individuals at risk of mobility impairment among adults aged ≥70 years.

Methods: We conducted a 12-month prospective cohort study of community-dwelling older adults (n = 288 to n = 341 depending on analysis) who were seen at the Vancouver Falls Prevention Clinic who had a history of at least one fall in the previous 12 months. We compared the responsiveness of the EuroQol-5 Domain-3 Level (EQ-5D-3L) and the index of capability for older adults (ICECAP-O) by examining changes in these measures over time (i.e., over 6 and 12 months) and by examining whether their changes varied as a function of having experienced 2 or more falls over 6 and 12 months.

Results: Only the ICECAP-O showed a significant change over time from baseline through 12 months; however, neither measure showed change that exceeded the standard error of the mean. Both measures were responsive to falls that occurred during the first 6 months of the study (p < .05). These effects appeared to be amplified among individuals identified as having mild cognitive impairment (MCI) at baseline (p < .01). Additionally, the EQ-5D-3L was responsive among fallers who did not have MCI as well as individuals with MCI who did not fall (p < .05).

Conclusion: This study provides initial evidence suggesting that the EQ-5D-3L is generally more responsive, particularly during the first 6 months of falls tracking among older adults at risk of future mobility impairment.

Citing Articles

Budget impact analysis of a Lifestyle-integrated Functional Exercise (LiFE) program for older people in Germany: a Markov model based on data from the LiFE-is-LiFE trial.

Dams J, Gottschalk S, Schwenk M, Nerz C, Becker C, Klenk J BMC Geriatr. 2024; 24(1):186.

PMID: 38395743 PMC: 10893703. DOI: 10.1186/s12877-024-04802-y.

Measurement properties of the EQ-5D in populations with a mean age of ≥ 75 years: a systematic review.

Gottschalk S, Konig H, Nejad M, Dams J Qual Life Res. 2022; 32(2):307-329.

PMID: 35915354 PMC: 9911506. DOI: 10.1007/s11136-022-03185-0.

Risk factors for falls in community-dwelling older people with mild cognitive impairment: a prospective one-year study.

Chantanachai T, Taylor M, Lord S, Menant J, Delbaere K, Sachdev P PeerJ. 2022; 10:e13484.

PMID: 35663527 PMC: 9161814. DOI: 10.7717/peerj.13484.

Feasibility of the EQ-5D in the elderly population: a systematic review of the literature.

Marten O, Brand L, Greiner W Qual Life Res. 2021; 31(6):1621-1637.

PMID: 34613597 PMC: 9098572. DOI: 10.1007/s11136-021-03007-9.

Development of a multivariable prognostic PREdiction model for 1-year risk of FALLing in a cohort of community-dwelling older adults aged 75 years and above (PREFALL).

Gade G, Jorgensen M, Ryg J, Masud T, Jakobsen L, Andersen S BMC Geriatr. 2021; 21(1):402.

PMID: 34193084 PMC: 8243769. DOI: 10.1186/s12877-021-02346-z.

References

Burge R, Dawson-Hughes B, Solomon D, Wong J, King A, Tosteson A . Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025. J Bone Miner Res. 2006; 22(3):465-75. DOI: 10.1359/jbmr.061113. View

Terwee C, Dekker F, Bossuyt P . A taxonomy for responsiveness?. J Clin Epidemiol. 2003; 55(11):1156. DOI: 10.1016/s0895-4356(02)00482-1. View

Liu-Ambrose T, Ashe M, Graf P, Beattie B, Khan K . Increased risk of falling in older community-dwelling women with mild cognitive impairment. Phys Ther. 2008; 88(12):1482-91. PMC: 3514550. DOI: 10.2522/ptj.20080117. View

Tinetti M, Speechley M, Ginter S . Risk factors for falls among elderly persons living in the community. N Engl J Med. 1988; 319(26):1701-7. DOI: 10.1056/NEJM198812293192604. View

Buracchio T, Dodge H, Howieson D, Wasserman D, Kaye J . The trajectory of gait speed preceding mild cognitive impairment. Arch Neurol. 2010; 67(8):980-6. PMC: 2921227. DOI: 10.1001/archneurol.2010.159. View

Terwee C, Dekker F, Wiersinga W, Prummel M, Bossuyt P . On assessing responsiveness of health-related quality of life instruments: guidelines for instrument evaluation. Qual Life Res. 2003; 12(4):349-62. DOI: 10.1023/a:1023499322593. View

Jones K, Forder J, Caiels J, Welch E, Glendinning C, Windle K . Personalization in the health care system: do personal health budgets have an impact on outcomes and cost?. J Health Serv Res Policy. 2013; 18(2 Suppl):59-67. DOI: 10.1177/1355819613503152. View

Schwartz A, Nevitt M, Brown Jr B, Kelsey J . Increased falling as a risk factor for fracture among older women: the study of osteoporotic fractures. Am J Epidemiol. 2005; 161(2):180-5. DOI: 10.1093/aje/kwi023. View

Bansback N, Tsuchiya A, Brazier J, Anis A . Canadian valuation of EQ-5D health states: preliminary value set and considerations for future valuation studies. PLoS One. 2012; 7(2):e31115. PMC: 3273479. DOI: 10.1371/journal.pone.0031115. View

10.

Henderson C, Knapp M, Fernandez J, Beecham J, Hirani S, Cartwright M . Cost effectiveness of telehealth for patients with long term conditions (Whole Systems Demonstrator telehealth questionnaire study): nested economic evaluation in a pragmatic, cluster randomised controlled trial. BMJ. 2013; 346:f1035. DOI: 10.1136/bmj.f1035. View

11.

van Leeuwen K, Bosmans J, Jansen A, Hoogendijk E, Van Tulder M, van der Horst H . Comparing measurement properties of the EQ-5D-3L, ICECAP-O, and ASCOT in frail older adults. Value Health. 2015; 18(1):35-43. DOI: 10.1016/j.jval.2014.09.006. View

12.

Campbell A, Borrie M, SPEARS G . Risk factors for falls in a community-based prospective study of people 70 years and older. J Gerontol. 1989; 44(4):M112-7. DOI: 10.1093/geronj/44.4.m112. View

13.

Anstey K, Von Sanden C, Luszcz M . An 8-year prospective study of the relationship between cognitive performance and falling in very old adults. J Am Geriatr Soc. 2006; 54(8):1169-76. DOI: 10.1111/j.1532-5415.2006.00813.x. View

14.

Davis J, Liu-Ambrose T, Richardson C, Bryan S . A comparison of the ICECAP-O with EQ-5D in a falls prevention clinical setting: are they complements or substitutes?. Qual Life Res. 2012; 22(5):969-77. PMC: 3672090. DOI: 10.1007/s11136-012-0225-4. View

15.

Hauer K, Lamb S, Jorstad E, Todd C, Becker C . Systematic review of definitions and methods of measuring falls in randomised controlled fall prevention trials. Age Ageing. 2005; 35(1):5-10. DOI: 10.1093/ageing/afi218. View

16.

Morisod J, Coutaz M . [Post-fall syndrome: how to recognize and treat it?]. Rev Med Suisse. 2007; 3(132):2531-2, 2534, 2536. View

17.

Nasreddine Z, Phillips N, Bedirian V, Charbonneau S, Whitehead V, Collin I . The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005; 53(4):695-9. DOI: 10.1111/j.1532-5415.2005.53221.x. View

18.

Atkinson H, Rosano C, Simonsick E, Williamson J, Davis C, Ambrosius W . Cognitive function, gait speed decline, and comorbidities: the health, aging and body composition study. J Gerontol A Biol Sci Med Sci. 2007; 62(8):844-50. DOI: 10.1093/gerona/62.8.844. View

19.

Dolan P . Modeling valuations for EuroQol health states. Med Care. 1997; 35(11):1095-108. DOI: 10.1097/00005650-199711000-00002. View

20.

Coast J, Flynn T, Natarajan L, Sproston K, Lewis J, Louviere J . Valuing the ICECAP capability index for older people. Soc Sci Med. 2008; 67(5):874-82. DOI: 10.1016/j.socscimed.2008.05.015. View