Standard error of measurement and smallest detectable change of the Sarcopenia Quality of Life (SarQoL) questionnaire: An analysis of subjects from 9 validation studies

Anton Geerinck, Vidmantas Alekna, Charlotte Beaudart, Ivan Bautmans, Cyrus Cooper, Fabiana De Souza Orlandi, Jerzy Konstantynowicz, Beatriz Montero-Errasquín, Eva Topinková, Maria Tsekoura, Jean-Yves Reginster, Olivier Bruyère, Anton Geerinck, Vidmantas Alekna, Charlotte Beaudart, Ivan Bautmans, Cyrus Cooper, Fabiana De Souza Orlandi, Jerzy Konstantynowicz, Beatriz Montero-Errasquín, Eva Topinková, Maria Tsekoura, Jean-Yves Reginster, Olivier Bruyère

Abstract

Objectives: The Sarcopenia Quality of Life (SarQoL) questionnaire, a sarcopenia-specific patient-reported outcome measure, evaluates quality of life with 55 items. It produces 7 domain scores and 1 overall quality of life score, all between 0 and 100 points. This study aims to contribute to the interpretation of the SarQoL scores by calculating the standard error of measurement (SEM) and smallest detectable change (SDC) in a sample of subjects from 9 studies.

Methods: Subjects from 9 studies (conducted in Belgium, Brazil, Czech Republic, England, Greece, Lithuania, Poland and Spain) were included. The SEM, a measure of the error in the scores that is not due to true changes, was calculated by dividing the standard deviation of the difference between test and retest scores (SDdiff) by √2. The SDC, defined as change beyond measurement error, was calculated by multiplying SDdiff by 1.96. Bland-Altman plots were assessed for the presence of systematic errors.

Results: A total of 278 sarcopenic subjects, aged 77.67 ± 7.64 years and 61.5% women, were included. The SEM for the overall SarQoL score ranged from 0.18 to 4.20 points for the individual studies, and was 2.65 points when all subjects were analyzed together. The SDC for the overall score ranged from 0.49 to 11.65 points for the individual studies, and was 7.35 points for all subjects. The Bland-Altman plots revealed no systematic errors in the questionnaire.

Conclusion: This study shows that, for individual subjects, a change in overall quality of life of at least 7.35 points (on a scale from 0 to 100) would have to be observed to confirm that a true change, beyond measurement error, has occurred. It also demonstrated that the SarQoL questionnaire is a precise instrument, with the observed scores within less than 3 points of the theoretical "true score".

Conflict of interest statement

AG is supported by a FRIA fellowship grant from the F.R.S.-FNRS (Belgian Fund for Scientific Research). CB, OB, J-YR, IB & CC are shareholders of SarQoL sprl. J-YR is the president of the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO), which has endorsed the SarQoL® questionnaire. CC reports personal fees from Alliance for Better Bone Health, Amgen, Eli Lilly, GSK, Medtronic, Merck, Novartis, Pfizer, Roche, Servier, Takeda and UCB. All other authors have declared that no competing interests exist. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Figures

Fig 1. Bland Altman plot for the…
Fig 1. Bland Altman plot for the SarQoL overall score in the complete sample.

References

    1. Cruz-Jentoft A, Bahat G, Bauer J, Boire Y, Bruyère O, Cederholm T, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2018;0: 1–16. 10.1093/cercor/bhw393
    1. Cruz-Jentoft AJ, Landi F, Schneider SM, Zuniga C, Arai H, Boirie Y, et al. Prevalence of and interventions for sarcopenia in ageing adults: A systematic review. Report of the International Sarcopenia Initiative (EWGSOP and IWGS). Age Ageing. 2014;43: 48–759. 10.1093/ageing/afu115
    1. Shafiee G, Keshtkar A, Soltani A, Ahadi Z, Larijani B, Heshmat R. Prevalence of sarcopenia in the world: a systematic review and meta- analysis of general population studies. J Diabetes Metab Disord. Journal of Diabetes & Metabolic Disorders; 2017;16: 21.
    1. Beaudart C, Locquet M, Reginster JY, Delandsheere L, Petermans J, Bruyère O. Quality of life in sarcopenia measured with the SarQoL: impact of the use of different diagnosis definitions. Aging Clin Exp Res. Springer International Publishing; 2018;30: 307–313. 10.1007/s40520-017-0866-9
    1. Ethgen O, Beaudart C, Buckinx F, Bruyère O, Reginster JY. The Future Prevalence of Sarcopenia in Europe: A Claim for Public Health Action. Calcif Tissue Int. 2017; 229–234.
    1. Beaudart C, Zaaria M, Pasleau F, Reginster J-Y, Bruyère O. Health outcomes of sarcopenia: a systematic seview and meta-analysis. PLoS One. 2017;12: e0169548 10.1371/journal.pone.0169548
    1. Beaudart C, Biver E, Bruyère O, Cooper C, Al-Daghri N, Reginster JY, et al. Quality of life assessment in musculo-skeletal health. Aging Clin Exp Res. Springer International Publishing; 2017;0: 1–6. 10.1007/s40520-017-0794-8
    1. Beaudart C, Biver E, Reginster J-Y, Rizzoli R, Rolland Y, Bautmans I, et al. Development of a self-administrated quality of life questionnaire for sarcopenia in elderly subjects: the SarQoL. Age Ageing. England; 2015;44: 960–966. 10.1093/ageing/afv133
    1. Beaudart C, Biver E, Reginster J-Y, Rizzoli R, Rolland Y, Bautmans I, et al. Validation of the SarQoL, a specific health-related quality of life questionnaire for Sarcopenia. J Cachexia Sarcopenia Muscle. 2017;8: 238–244. 10.1002/jcsm.12149
    1. Beaudart C, Edwards M, Moss C, Reginster JY, Moon R, Parsons C, et al. English translation and validation of the SarQoL, a quality of life questionnaire specific for sarcopenia. Age Ageing. 2017;46: 271–277. 10.1093/ageing/afw192
    1. Ildiko GA, Mihai G, Beaudart C, Bruyère O, Pop R-M, Reginster J-Y, et al. Psychometric performance of the Romanian version of the SarQoL, a health-related quality of life questionnaire for sarcopenia. Arch Osteoporos. Archives of Osteoporosis; 2017;12: 103 10.1007/s11657-017-0397-1
    1. Geerinck A, Scheppers A, Beaudart C, Bruyère O, Vandenbussche W, Bautmans R, et al. Translation and validation of the Dutch SarQoL, a quality of life questionnaire specific to sarcopenia. J Musculoskelet Neuronal Interact. 2018;18: 463–472.
    1. Konstantynowicz J, Abramowicz P, Glinkowski W, Taranta E, Marcinowicz L, Dymitrowicz M, et al. Polish Validation of the SarQoL, a Quality of Life Questionnaire Specific to Sarcopenia. J Clin Med. 2018;7: 323 10.3390/jcm7100323
    1. Tsekoura M, Billis E, Gliatis J, Tsepis E, Matzaroglou C, Sakkas GK, et al. Cross cultural adaptation of the Greek sarcopenia quality of life (SarQoL) questionnaire. Disabil Rehabil. Taylor & Francis; 2018;0: 1–7. 10.1080/09638288.2018.1514076
    1. Reginster JY, Cooper C, Rizzoli R, Kanis JA, Appelboom G, Bautmans I, et al. Recommendations for the conduct of clinical trials for drugs to treat or prevent sarcopenia. Aging Clin Exp Res. 2016;28: 47–58. 10.1007/s40520-015-0517-y
    1. Terwee C, Bot S, de Boer M, van der Windt D, Knol D, Dekker J, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007;60: 34–42. 10.1016/j.jclinepi.2006.03.012
    1. Harvill LM, Tennessee E, Uniuersit S. Standard Error of Measurement. Educ Meas Issues Pract. 1991;10: 33–41. 10.1177/0272989X10380925
    1. De Vet HCW, Terwee CB, Mokkink LB, Knol DL. Measurements in Medicine. Cambridge University Press; 2011. 10.1186/1741-7015-9-29
    1. Bland JM, Altman DG. Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement. Lancet. 1986;327: 307–310. 10.1016/S0140-6736(86)90837-8
    1. Polit D. Getting serious about test-retest reliability: A critique of retest research and some recommendations. Qual Life Res. 2014;23: 1713–1720. 10.1007/s11136-014-0632-9
    1. Bland J.M. & Altman DG. Measuring agreement in method comparison studies. Stat. Meth. 1999;2802: 135–160.
    1. IBM Support. The Bland-Altman Plot [Internet]. [cited 15 Mar 2019]. Available:
    1. Michalkova H, Ryznarova I, Seget J, Topinková E. Health-related quality of life in sarcopenia: translation and validation of the Czech version of the SarQoL instrument. European Geriatric Medicine. 2017. p. s104 10.1128/AEM.68.2.952-956.2002
    1. Lee RC, Wang Z, Heo M, Ross R, Jannsen I, Heymsfield SB. Total-body skeletal muscle mass: Development and cross-validation of anthropometric prediction models. Am J Clin Nutr. 2000;72: 796–803. 10.1093/ajcn/72.3.796
    1. Hart DL. Test-Retest Reliability of an Abbreviated Self-Report Overall Health Status Measure. J Orthop Sport Phys Ther. 2003;33: 734–744. 10.2519/jospt.2003.33.12.734
    1. Palmer S, Manns S, Cramp F, Lewis R, Clark EM. Test-retest reliability and smallest detectable change of the Bristol Impact of Hypermobility (BIoH) questionnaire. Musculoskelet Sci Pract. Elsevier Ltd; 2017;32: 64–69. 10.1016/j.msksp.2017.08.007
    1. Oliveira IS, Costa LCM, Manzoni ACT, Cabral CMN. Assessment of the measurement properties of quality of life questionnaires in Brazilian women with breast cancer. Brazilian J Phys Ther. 2014;18: 372–383. 10.1590/bjpt-rbf.2014.0045
    1. Juul T, Søgaard K, Davis AM, Roos EM. Psychometric properties of the Neck OutcOme Score, Neck Disability Index, and Short Form–36 were evaluated in patients with neck pain. J Clin Epidemiol. Elsevier Inc; 2016;79: 31–40. 10.1016/j.jclinepi.2016.03.015
    1. Dawson J, Boller I, Doll H, Lavis G, Sharp R, Cooke P, et al. Minimally important change was estimated for the Manchester-Oxford Foot Questionnaire after foot/ankle surgery. J Clin Epidemiol. Elsevier Inc; 2014;67: 697–705. 10.1016/j.jclinepi.2014.01.003
    1. Busija L, Osborne RH, Nilsdotter A, Buchbinder R, Roos EM. Magnitude and meaningfulness of change in SF-36 scores in four types of orthopedic surgery. Health Qual Life Outcomes. 2008;6: 1–12. 10.1186/1477-7525-6-1

Source: PubMed

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