Literature DB >> 35999431

Establishing the minimal clinically important difference of the EQ-5D-3L in older adults with a history of falls.

Deborah A Jehu1,2,3,4, Jennifer C Davis2,3,5,6, Kenneth Madden2,7, Naaz Parmar8, Teresa Liu-Ambrose9,10,11.   

Abstract

PURPOSE: Establish the minimal clinically important difference (MCID) of a health-related quality of life (HRQoL) measure-the EuroQol EQ-5 Dimensions-3 Level (EQ-5D-3L)-in older adults with a history of falls.
METHODS: This study is a secondary analysis of 255 complete cases who were enrolled in a 12-month randomized controlled trial (NCT01029171; NCT00323596); participants were randomized to the Otago Exercise Program (OEP; n = 126/172; Age:81.2 ± 6.2 years; 60.3% Female) or control (CON; n = 129/172; Age:81.7 ± 5.7 years; 70.5% Female). Participants completed the EQ-5D-3L and Visual Analogue Scale (VAS) at baseline and 1-year. The VAS was associated with HRQoL and was the health status anchor (VAS minimal improvement = 7 to 17, maximal improvement ≥ 18, minimal decline =  - 7 to - 17, maximal decline ≤  - 18 points). We used four distinct approaches to estimate MCID ranges: (1) anchor-based change differences of the EQ-5D-3L (1-year minus baseline); (2) anchor-based beta coefficients from ordinary least squares regressions (OLS); (3) anchor-based receiver operating characteristic (ROC), and 4) distribution-based standard deviation and standardized effect size of 0.5.
RESULTS: EQ-5D-3L MCID ranges for minimal improvements (OEP = 0.028 to 0.059; CON = 0.007 to 0.051), maximal improvements (OEP = 0.059 to 0.090; CON = 0.051 to 0.090), minimal declines (OEP =  - 0.029 to - 0.105; CON =  - 0.015 to - 0.051), and maximal declines (OEP =  - 0.018 to - 0.072; CON =  - 0.018 to - 0.082) were established using change difference, OLS, and distribution-based methods. The ROC area under the curve was poor, thus, it was not used to estimate the MCID.
CONCLUSIONS: Our results will assist in the interpretation of changes in HRQoL, as measured by the EQ-5D-3L, in older adults with a history of falls.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Accidental falls; Minimal clinically important difference; Older adults; Psychometrics; Quality of life

Mesh:

Year:  2022        PMID: 35999431     DOI: 10.1007/s11136-022-03231-x

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   3.440


  47 in total

1.  Quality of life related to fear of falling and hip fracture in older women: a time trade off study.

Authors:  G Salkeld; I D Cameron; R G Cumming; S Easter; J Seymour; S E Kurrle; S Quine
Journal:  BMJ       Date:  2000-02-05

2.  Falling in the elderly: Do statistical models matter for performance criteria of fall prediction? Results from two large population-based studies.

Authors:  Anastasiia Kabeshova; Cyrille P Launay; Vasilii A Gromov; Bruno Fantino; Elise J Levinoff; Gilles Allali; Olivier Beauchet
Journal:  Eur J Intern Med       Date:  2015-12-10       Impact factor: 4.487

3.  Estimating clinically significant differences in quality of life outcomes.

Authors:  Kathleen W Wyrwich; Monika Bullinger; Neil Aaronson; Ron D Hays; Donald L Patrick; Tara Symonds
Journal:  Qual Life Res       Date:  2005-03       Impact factor: 4.147

Review 4.  Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes.

Authors:  Dennis Revicki; Ron D Hays; David Cella; Jeff Sloan
Journal:  J Clin Epidemiol       Date:  2007-08-03       Impact factor: 6.437

5.  A risk profile for identifying community-dwelling elderly with a high risk of recurrent falling: results of a 3-year prospective study.

Authors:  S M F Pluijm; J H Smit; E A M Tromp; V S Stel; D J H Deeg; L M Bouter; P Lips
Journal:  Osteoporos Int       Date:  2006-01-17       Impact factor: 4.507

6.  Risk factors for recurrent falls in older adults: A systematic review with meta-analysis.

Authors:  D A Jehu; J C Davis; R S Falck; K J Bennett; D Tai; M F Souza; B R Cavalcante; M Zhao; T Liu-Ambrose
Journal:  Maturitas       Date:  2020-11-02       Impact factor: 4.342

7.  Measurement of health status. Ascertaining the minimal clinically important difference.

Authors:  R Jaeschke; J Singer; G H Guyatt
Journal:  Control Clin Trials       Date:  1989-12

Review 8.  Methods to explain the clinical significance of health status measures.

Authors:  Gordon H Guyatt; David Osoba; Albert W Wu; Kathleen W Wyrwich; Geoffrey R Norman
Journal:  Mayo Clin Proc       Date:  2002-04       Impact factor: 7.616

9.  Slow Processing Speed Predicts Falls in Older Adults With a Falls History: 1-Year Prospective Cohort Study.

Authors:  Jennifer C Davis; John R Best; Karim M Khan; Larry Dian; Stephen Lord; Kim Delbaere; Chun Liang Hsu; Winnie Cheung; Wency Chan; Teresa Liu-Ambrose
Journal:  J Am Geriatr Soc       Date:  2017-04-08       Impact factor: 5.562

10.  A systematic review on the influence of fear of falling on quality of life in older people: is there a role for falls?

Authors:  Daniel Schoene; Claudia Heller; Yan N Aung; Cornel C Sieber; Wolfgang Kemmler; Ellen Freiberger
Journal:  Clin Interv Aging       Date:  2019-04-24       Impact factor: 4.458

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