Advertisement
Original research| Volume 98, ISSUE 11, P2188-2195.e6, November 2017

Development and Preliminary Psychometrics of the Exercise Therapy Burden Questionnaire for Patients With Chronic Conditions

  • William Martin
    Correspondence
    Corresponding author William Martin, MD, Cochin Hospital, Physical Medicine and Rehabilitation, 27 rue du faubourg Saint-Jacques, 75014 Paris, France.
    Affiliations
    Sorbonne Paris Cité, INSERM UMR 1153, Cochin Hospital, Paris, France
    Search for articles by this author
  • Clémence Palazzo
    Affiliations
    Sorbonne Paris Cité, INSERM UMR 1153, Cochin Hospital, Paris, France

    Department of Rehabilitation for Musculoskeletal and Spine Diseases, Cochin Hospital, Paris, France

    Paris Descartes University, Paris, France
    Search for articles by this author
  • Serge Poiraudeau
    Affiliations
    Sorbonne Paris Cité, INSERM UMR 1153, Cochin Hospital, Paris, France

    Department of Rehabilitation for Musculoskeletal and Spine Diseases, Cochin Hospital, Paris, France

    Paris Descartes University, Paris, France
    Search for articles by this author
Published:April 17, 2017DOI:https://doi.org/10.1016/j.apmr.2017.03.015

      Abstract

      Objective

      To develop and validate a self-reporting questionnaire assessing the burden of exercise therapy for patients with chronic conditions.

      Design

      Measurement properties of an instrument.

      Setting

      Outpatient clinics and tertiary care hospital.

      Participants

      Patients (N=201) with at least 1 chronic condition and performing exercise therapy.

      Interventions

      Not applicable.

      Main Outcome Measures

      The dimensional structure of the questionnaire was assessed by principal component analysis. Construct validity of the instrument was assessed by exploring convergent validity with the Treatment Burden Questionnaire (TBQ) and divergent validity with pain, self-efficacy, treatment satisfaction, and health state. Reliability was assessed with the Cronbach α coefficient, a test-retest method using the intraclass correlation coefficient (ICC), and Bland-Altman plotting.

      Results

      A preliminary list of items was developed from semistructured interviews with 28 patients and reviewed by 2 expert physicians. Items obtained were reduced. Then a sample of 163 patients was used to measure the psychometrics of the Exercise Therapy Burden Questionnaire (ETBQ), consisting of 10 items. Principal component analysis extracted 1 dimension. The Cronbach α was .86 (.82–.89). Test-retest reliability (n=24 patients) was good with an ICC of .93 (.85–.97), and Bland-Altman analysis did not reveal a systematic trend. The ETBQ showed expected convergent validity with the TBQ (ρ=.52) and expected divergent validity with pain (ρ=.37), self-efficacy (ρ=−.34), treatment satisfaction (ρ=−.49), and perceived health state (ρ=−.28).

      Conclusions

      The ETBQ is the first questionnaire assessing exercise therapy burden in patients with chronic conditions. Its psychometric properties are promising.

      Keywords

      List of abbreviations:

      EQ-5D (European Quality of Life–5 Dimensions), ETBQ (Exercise Therapy Burden Questionnaire), ICC (intraclass correlation coefficient), TBQ (Treatment Burden Questionnaire)
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Archives of Physical Medicine and Rehabilitation
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Lim S.S.
        • Vos T.
        • Flaxman A.D.
        • et al.
        A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.
        Lancet. 2012; 380: 2224-2260
        • Vos T.
        • Flaxman A.D.
        • Naghavi M.
        • et al.
        Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010.
        Lancet. 2012; 380: 2163-2196
        • Wolff J.L.
        • Starfield B.
        • Anderson G.
        Prevalence, expenditures, and complications of multiple chronic conditions in the elderly.
        Arch Intern Med. 2002; 162: 2269-2276
        • Fernandes L.
        • Hagen K.B.
        • Bijlsma J.W.
        • et al.
        EULAR recommendations for the non-pharmacological core management of hip and knee osteoarthritis.
        Ann Rheum Dis. 2013; 72: 1125-1135
        • World Health Organization
        Prevention of cardiovascular disease. Guidelines for assessment and management of cardiovascular risk.
        World Health Organization, Geneva2007
        • American Diabetes Association
        Medical management of type 1 diabetes.
        American Diabetes Association, Alexandria2012
        • Skolarus T.A.
        • Wolf A.M.
        • Erb N.L.
        • et al.
        American Cancer Society prostate cancer survivorship care guidelines.
        CA Cancer J Clin. 2014; 64: 225-249
        • Bouchard C.
        • Blair S.
        • Haskell W.
        Physical activity and health.
        Human Kinetics, Champaign, Ill2007
        • Hayden J.A.
        • Cartwright J.L.
        • Riley R.D.
        • vanTulder M.W.
        Exercise therapy for chronic low back pain: protocol for an individual participant data meta-analysis.
        Syst Rev. 2012; 1: 64
        • Hayden J.
        • van Tulder M.W.
        • Malmivaara A.
        • Koes B.W.
        Exercise therapy for treatment of non-specific low back pain.
        Cochrane Database Syst Rev. 2005; : CD000335
        • Mishra S.I.
        • Scherer R.W.
        • Geigle P.M.
        • et al.
        Exercise interventions on health-related quality of life for cancer survivors.
        Cochrane Database Syst Rev. 2012; : CD007566
        • Thomas D.
        • Elliott E.J.
        • Naughton G.A.
        Exercise for type 2 diabetes mellitus.
        Cochrane Database Syst Rev. 2006; : CD002968
        • Taylor R.S.
        • Sagar V.A.
        • Davies E.J.
        • et al.
        Exercise-based rehabilitation for heart failure.
        Cochrane Database Syst Rev. 2014; : CD003331
        • Eton D.T.
        • Oliveira D.R.
        • Egginton J.
        • Mair F.S.
        • May C.
        • Montori V.M.
        Understanding the burden of treatment in patients with multiple chronic conditions: evidence from exploratory interviews [abstract].
        Qual Life Res. 2010; 19: 1673
        • Sav A.
        • King M.A.
        • Whitty J.A.
        • et al.
        Burden of treatment for chronic illness: a concept analysis and review of the literature.
        Health Expect. 2015; 18: 312-324
        • Haynes R.B.
        • McDonald H.P.
        • Garg A.X.
        Helping patients follow prescribed treatment: clinical applications.
        JAMA. 2002; 288: 2880-2883
        • Vijan S.
        • Hayward R.A.
        • Ronis D.L.
        • Hofer T.P.
        Brief report: the burden of diabetes therapy: implications for the design of effective patient-centered treatment regimens.
        J Gen Intern Med. 2005; 20: 479-482
        • Brod M.
        • Hammer M.
        • Christensen T.
        • Lessard S.
        • Bushnell D.M.
        Understanding and assessing the impact of treatment in diabetes: the Treatment-Related Impact Measures for Diabetes and Devices (TRIM-Diabetes and TRIM-Diabetes Device).
        Health Qual Life Outcomes. 2009; 7: 83
        • Pifferi M.
        • Bush A.
        • Di Cicco M.
        • et al.
        Health-related quality of life and unmet needs in patients with primary ciliary dyskinesia.
        Eur Respir J. 2010; 35: 787-794
        • Logan A.S.
        • Milne B.J.
        • Achber C.
        • et al.
        Cost-effectiveness of a worksite hypertension treatment program.
        Hypertension. 1981; 3: 211-218
        • Nieuwlaat R.
        • Wilczynski N.
        • Navarro T.
        • et al.
        Interventions for enhancing medication adherence.
        Cochrane Database Syst Rev. 2014; : CD000011
        • May C.
        • Montori V.M.
        • Mair F.S.
        We need minimally disruptive medicine.
        BMJ. 2009; 339: b2803
        • Tran V.T.
        • Montori V.M.
        • Eton D.T.
        • Baruch D.
        • Falissard B.
        • Ravaud P.
        Development and description of measurement properties of an instrument to assess treatment burden among patients with multiple chronic conditions.
        BMC Med. 2012; 10: 68
        • Genêt S.
        • Poiraudeau M.
        Revel étude de l’efficacité et de l’observance à un an d’un programme court de rééducation assorti d’un autoprogramme dans la lombalgie chronique. [Effectiveness and compliance to a center-based short rehabilitation program with a home-based program for chronic low back pain].
        Ann Readapt Med Phys. 2002; 45 ([French]): 265-272
        • Friedrich M.
        • Gittler G.
        • Halberstadt Y.
        • Cermak T.
        • Heiller I.
        Combined exercise and motivation program: effect on the compliance and level of disability of patients with chronic low back pain: a randomized controlled trial.
        Arch Phys Med Rehabil. 1998; 79: 475-487
        • Hughes S.L.
        • Seymour R.B.
        • Campbell R.
        • Pollak N.
        • Huber G.
        • Sharma L.
        Impact of the fit and strong intervention on older adults with osteoarthritis.
        Gerontologist. 2004; 44: 217-228
        • Barlow J.H.
        • Turner A.P.
        • Wright C.C.
        A randomized controlled study of the Arthritis Self-Management Programme in the UK.
        Health Educ Res. 2000; 15: 665-680
        • Soderlund A.
        • Lindberg P.
        Cognitive behavioural components in physiotherapy management of chronic whiplash associated disorders (WAD)—a randomised group study.
        Physiother Theory Pract. 2001; 17: 229-238
        • Food and Drug Administration
        Patient-reported outcome measures.
        US FD, Silver Spring2009
        • Falissard B.
        Measuring Subjectivity in Health: Methodological and Statistical Perspectives [in French].
        Abrégés Masson Editions, Paris, France2008
        • U.S. Department of Health and Human Services
        Health, United States, 2010: with special feature on death and dying.
        Centers for Disease Control and Prevention, National Center for Health Statistics, Hyattsville2011: 486-487 (Appendix, definition of “condition”)
        • Palazzo C.
        • Klinger E.
        • Dorner V.
        Barriers to home-based exercise program adherence with chronic low back pain: patient expectations regarding new technologies.
        Ann Phys Rehabil Med. 2016; 59: 107-113
        • Rubin H.J.
        • Rubin I.S.
        Qualitative interviewing: the art of hearing data.
        SAGE, Thousand Oaks1995
        • Thompson P.
        The voice of the past: oral history.
        2nd ed. Oxford Univ Pr, Oxford2000
        • Glaser B.G.
        • Strauss A.L.
        The discovery of grounded theory: strategies for qualitative research.
        Aldine de Gruyter, Chicago1967
        • Cramer D.
        • Howitt D.L.
        The SAGE dictionary of statistics: a practical resource for students in the social sciences.
        3rd ed. SAGE, London, UK2005: 21
        • Biemer P.
        • Lyberg P.
        Introduction to survey quality.
        John Wiley & Sons, Hoboken, NJ2003
        • Costello A.
        • Osborne J.
        Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis.
        Practical Assess Res Eval. 2005; 10: 1-9
        • Cattel R.B.
        The scree test for the number of factors.
        Multivariate Behav Res. 1966; 1: 245-276
        • Streiner D.
        • Norman G.
        Health measurement scales: a practical guide to their development and use.
        Oxford Univ Pr, Oxford2008
        • Campell D.T.
        • Fiske D.W.
        Convergent and discriminant validation by the multitrait-multimethod matrix.
        Psychol Bull. 1959; 56: 81-105
        • Likert R.
        A technique for the measurement of attitudes.
        Arch Psychol. 1932; 140: 1-55
        • Bandura A.
        Self-efficacy: towards a unifying theory of behavioral change.
        Psychol Rev. 1977; 84: 191-215
        • The EuroQol Group
        EuroQol—a new facility for the measurement of health-related quality of life.
        Health Policy. 1990; 16: 199-208
        • Janssen M.F.
        • Pickard A.S.
        • Golicki D.
        • et al.
        Measurement properties of the EQ-5D-5L compared to the EQ-5D-3L across eight patient groups: a multi-country study.
        Qual Life Res. 2013; 22: 1717-1727
        • Spearman C.
        The proof and measurement of association between two things.
        Am J Psychol. 1904; 15: 72-101
        • Kruskal W.H.
        • Wallis W.A.
        Use of ranks in one-criterion variance analysis.
        J Am Stat Assoc. 1952; 47: 583-621
        • Bland J.M.
        • Altman D.G.
        Cronbach's alpha.
        BMJ. 1997; 314: 572
        • Marx R.G.
        • Menezes A.
        • Horovitz L.
        • et al.
        A comparison of two time intervals for test-retest reliability of health status instruments.
        J Clin Epidemiol. 2003; 56: 730-735
        • Bland J.M.
        • Altman D.G.
        Statistical methods for assessing agreement between two methods of clinical measurement.
        Lancet. 1986; 1: 307-310
        • Streiner D.L.
        • Norman G.R.
        Health measurement scales: a practical guide to their development and use.
        (2nd ed) Oxford Univ Pr, New York1995
        • Frisbie D.
        • Brandenburg D.
        Equivalence of questionnaire items with varying response formats.
        J Educ Meas. 1979; 16: 43-48
        • Wildt A.
        • Mazis A.
        Determinant of scale response: label versus position.
        J Marketing Res. 1978; 15: 261-267
        • Schwarz N.
        • Knauper B.
        • Hippler H.
        • Noelle-Neumann E.
        • Clark L.
        Rating scales: numeric values may change the meaning of scale labels.
        Public Opin Q. 1991; 55: 570-582
        • Alami S.
        • Hervouet L.
        • Poiraudeau S.
        • Briot K.
        • Roux C.
        Barriers to effective postmenopausal osteoporosis treatment: a qualitative study of patients' and practitioners' views.
        PLoS One. 2016; 11: e0158365
        • Lorig K.
        • Chastain R.L.
        • Ung E.
        • Shoor S.
        • Holman H.R.
        Development and evaluation of a scale to measure self-efficacy in people with arthritis.
        Arthritis Rheum. 1989; 32: 37-44
        • Lorig K.
        • Stewart A.
        • Ritter P.
        • González V.
        • Laurent D.
        • Lynch J.
        Outcome measures for health education and other health care interventions.
        SAGE, Thousand Oaks1996: 24-25 (41-45)
        • Terwee C.B.
        • Bot S.D.
        • de Boer M.R.
        • et al.
        Quality criteria were proposed for measurement properties of health status questionnaires.
        J Clin Epidemiol. 2007; 60: 34-42
        • Rouquette A.
        • Falissard B.
        Sample size requirements for the internal validation of psychiatric scales.
        Int J Methods Psychiatr Res. 2011; 20: 235-249