Exercise therapy and physical activity promotion: do exercise therapists assess or receive information on clients’ relevant personal factors? A national survey from Germany

References

• Dean E. Physical therapy in the 21st century (Part II): evidence-based practice within the context of evidence-informed practice. Physiother Theory Pract. 2009;25:354–368.
   PubMedGoogle Scholar
• Wikström-Grotell C, Broberg C, Ahonen S, et al. From ling to the academic era – An analysis of the history of ideas in PT from a Nordic perspective. Eur J Physiother. 2013;15:168–180.
   Google Scholar
• Dean E. Physical therapy in the 21st century (Part I): toward practice informed by epidemiology and the crisis of lifestyle conditions. Physiother Theory Pract. 2009;25:330–353.
   PubMedGoogle Scholar
• Geidl W, Semrau J, Pfeifer K. Health behaviour change theories: contributions to an ICF-based behavioural exercise therapy for individuals with chronic diseases. Disabil Rehabil. 2014;36:2091–2100.
   PubMed Web of Science ®Google Scholar
• Lein DH, Clark D, Graham C, et al. A model to integrate health promotion and wellness in physical therapist practice: development and validation. Phys Ther. 2017;97:1169–1181.
   PubMed Web of Science ®Google Scholar
• Elvén M, Hochwälder J, Dean E, et al. A clinical reasoning model focused on clients’ behaviour change with reference to physiotherapists: its multiphase development and validation. Physiother Theory Pract. 2015;31:231–243.
   PubMed Web of Science ®Google Scholar
• Bauman AE, Reis RS, Sallis JF, et al. Correlates of physical activity: why are some people physically active and others not? Lancet. 2012;380:258–271.
   PubMed Web of Science ®Google Scholar
• Elvén M, Hochwälder J, Dean E, et al. Development and initial evaluation of an instrument to assess physiotherapists’ clinical reasoning focused on clients’ behavior change. Physiother Theory Pract. 2018;34:367–383.
   PubMed Web of Science ®Google Scholar
• World Health Organization. International Classification of Functioning, Disability and Health: ICF. Geneva: World Health Organization; 2001.
   Google Scholar
• Brüggemann S, Sewöster D, Kranzmann A. Bewegungstherapeutische Versorgung in der medizinischen Rehabilitation der Rentenversicherung – eine Analyse auf Basis quantitativer Routinedaten [Exercise therapy in German medical rehabilitation – an analysis based on quantitative routine data]. Rehabilitation. 2017;57:24–30. German
   PubMedGoogle Scholar
• Schüle K, Deimel H. Gesundheitssport und Sporttherapie – eine begriffliche Klärung. [Health sports and exercise therapy – a conceptual clarification]. Gesundheitssport Und Sporttherapie. 1990;1:3. German
   Google Scholar
• Deutsche Rentenversicherung Bund. Rahmenkonzept zur medizinischen Rehabilitation in der gesetzlichen Rentenversicherung [Framework concept for medical rehabilitation in the statutory pension insurance]. Berlin: Deutsche Rentenversicherung;2009. German
   Google Scholar
• Jette DU, Halbert J, Iverson C, et al. Use of standardized outcome measures in physical therapist practice: perceptions and applications. Phys Ther. 2009;89:125–135.
   PubMed Web of Science ®Google Scholar
• Finch E. Physical rehabilitation outcome measures: a guide to enhanced clinical decision making. 2nd ed. Hamilton: Lippincott Williams & Wilkins; 2002.
   Google Scholar
• Leemrijse CJ, Plas GM, Hofhuis H, et al. Compliance with the guidelines for acute ankle sprain for physiotherapists is moderate in the Netherlands: an observational study. Aust J Physiother. 2006;52:293–299.
   PubMed Web of Science ®Google Scholar
• Van Peppen RPS, Maissan FJF, Van Genderen FR, et al. Outcome measures in physiotherapy management of patients with stroke: a survey into self-reported use, and barriers to and facilitators for use. Physiother Res Int. 2008;13:255–270.
   PubMedGoogle Scholar
• Abrams D, Davidson M, Harrick J, et al. Monitoring the change: current trends in outcome measure usage in physiotherapy. Man Ther. 2006;11:46–53.
   PubMed Web of Science ®Google Scholar
• Maher C, Williams M. Factors influencing the use of outcome measures in physiotherapy management of lung transplant patients in Australia and New Zealand. Physiother Theory Pract. 2005;21:201–217.
   PubMedGoogle Scholar
• Körner M, Bütof S, Müller C, et al. Interprofessional teamwork and team interventions in chronic care: a systematic review. J Interprof Care. 2016;30:15–28.
   PubMed Web of Science ®Google Scholar
• Deutsche Rentenversicherung Bund. Reha-Bericht 2015 [Rehabilitation report 2015]. DRV; 2015. German.
   Google Scholar
• Geidl W, Deprins J, Streber R, et al. Exercise therapy in medical rehabilitation: study protocol of a national survey at facility and practitioner level with a mixed method design. Contemp Clin Trials Commun. 2018;11:37–45.
   PubMed Web of Science ®Google Scholar
• Büsching G, Widmer Leu C. Kardiologie und Pneumologie: Assessments in der Rehabilitation [Cardiology and pulmonology: assessments in rehabilitation]. Bern: Hans Huber; 2009. German
   Google Scholar
• Oesch P. Bewegungsapparat [Locomotion system]. Bern: Huber; 2011. German
   Google Scholar
• Schädler S, Kool J, Lüthi H, et al. Assessments in der Rehabilitation: Neurologie [Assessment in rehabilitation: neurology]. Bern: Huber; 2012. German
   Google Scholar
• Bös K. Handbuch motorische Tests: Sportmotorische Tests, motorische Funktionstests, Fragebogen zur körperlichen-sportlichen Aktivität und sportpsychologische Diagnoseverfahren [Manual of motor tests: motor sports tests, motor function tests, questionnaire on physical-sport activity and sport psychological diagnostic procedures]. 2nd ed. Göttingen: Hogrefe; 2001. German
   Google Scholar
• Cohen J. A coefficient of agreement for nominal scales. Educ Psychol Meas. 1960;20:37–46.
   Web of Science ®Google Scholar
• Cieza A, Fayed N, Bickenbach J, et al. Refinements of the ICF Linking Rules to strengthen their potential for establishing comparability of health information. Disabil Rehabil. 2016;41:1–10.
   PubMedGoogle Scholar
• Kuckartz U. Qualitative Inhaltsanalyse: Methoden, Praxis, Computerunterstützung [Qualitative content analysis: methods, practice, computer support]. Weinheim: Beltz Juventa; 2016. German
   Google Scholar
• World Confederation for Physical Therapy. WCPT guideline for standards of physical therapy practice. Available from: https://www.wcpt.org/sites/wcpt.org/files/files/Guideline_standards_practice_complete.pdf.
   Google Scholar
• Schwarz B, Neuderth S, Gutenbrunner C, et al. Multiprofessional teamwork in work-related medical rehabilitation for patients with chronic musculoskeletal disorders. J Rehabil Med. 2015;47:58–65.
   PubMed Web of Science ®Google Scholar
• Körner M. Interprofessional teamwork in medical rehabilitation: a comparison of multidisciplinary and interdisciplinary team approach. Clin Rehabil. 2010;24:745–755.
   PubMed Web of Science ®Google Scholar
• Alexander J, Bambury E, Mendoza A, et al. Health education strategies used by physical therapists to promote behaviour change in people with lifestyle-related conditions: a systematic review. Hong Kong Physiother J. 2012;30:57–75.
   Google Scholar
• Wikström-Grotell C, Eriksson K. Movement as a basic concept in physiotherapy – a human science approach. Physiother Theory Pract. 2012;28:428–438.
   PubMedGoogle Scholar
• Dean E, Andrade AD, de OG, et al. The Second Physical Therapy Summit on Global Health: developing an action plan to promote health in daily practice and reduce the burden of non-communicable diseases. Physiother Theory Pract. 2014;30:261–275.
   PubMed Web of Science ®Google Scholar
• Foster NE, Delitto A. Embedding psychosocial perspectives within clinical management of low back pain: integration of psychosocially informed management principles into physical therapist practice-challenges and opportunities. Phys Ther. 2011;91:790–803.
   PubMed Web of Science ®Google Scholar
• Shepard KF. Mary McMillan Lecture. Are you waving or drowning? Phys Ther. 2007;87:1543–1554.
   PubMed Web of Science ®Google Scholar
• Davies C, Nitz AJ, Mattacola CG, et al. Practice patterns when treating patients with low back pain: a survey of physical therapists. Physiother Theory Pract. 2014;30:399–408.
   PubMed Web of Science ®Google Scholar
• Duncan EAS, Murray J. The barriers and facilitators to routine outcome measurement by allied health professionals in practice: a systematic review. BMC Health Serv Res. 2012;12:96.
   PubMed Web of Science ®Google Scholar
• Stevens JGA, Beurskens A. Implementation of measurement instruments in physical therapist practice: development of a tailored strategy. Phys Ther. 2010;90:953–961.
   PubMed Web of Science ®Google Scholar
• Wedge FM, Braswell-Christy J, Brown CJ, et al. Factors influencing the use of outcome measures in physical therapy practice. Physiother Theory Pract. 2012;28:119–133.
   PubMedGoogle Scholar
• Dean E, Greig A, Murphy S, et al. Raising the priority of lifestyle-related noncommunicable diseases in physical therapy curricula. Phys Ther. 2016;96:940–948.
   PubMed Web of Science ®Google Scholar
• Potter K, Cohen ET, Allen DD, et al. Outcome measures for individuals with multiple sclerosis: recommendations from the American physical therapy association neurology section task force. Phys Ther. 2014;94:593–608.
   PubMed Web of Science ®Google Scholar
• Sullivan JE, Crowner BE, Kluding PM, et al. Outcome measures for individuals with stroke: process and recommendations from the American physical therapy association neurology section task force. Phys Ther. 2013;93:1383–1396.
   PubMed Web of Science ®Google Scholar
• Kahn JH, Tappan R, Newman CP, et al. Outcome measure recommendations from the spinal cord injury edge task force. Phys Ther. 2016;96:1832–1842.
   PubMed Web of Science ®Google Scholar
• McCulloch KL, Joya AL, de Hays K, et al. Outcome measures for persons with moderate to severe traumatic brain injury: recommendations from the American Physical Therapy Association Academy of Neurologic Physical Therapy TBI EDGE Task Force. J Neurol Phys Ther. 2016;40:269–280.
   PubMed Web of Science ®Google Scholar
• Harrington S, Gilchrist L, Sander A. Breast cancer EDGE task force outcomes: clinical measures of pain. Rehabil Oncol. 2014;32:13–21.
   PubMedGoogle Scholar
• Otterman N, Veerbeek J, Schiemanck S, et al. Selecting relevant and feasible measurement instruments for the revised Dutch clinical practice guideline for physical therapy in patients after stroke. Disabil Rehabil. 2017;39:1449–1457.
   PubMed Web of Science ®Google Scholar
• Rath HM, Steimann M, Ullrich A, et al. Psychometric properties of the Occupational Stress and Coping Inventory (AVEM) in a cancer population. Acta Oncol. 2015;54:232–242.
   PubMed Web of Science ®Google Scholar
• Hislop HJ, Avers D, Brown M. Daniels and Worthingham’s muscle testing: techniques of manual examination and performance testing. St. Louis (MO): Elsevier; 2014.
   Google Scholar
• Ryf C, Weymann A. The neutral zero method: a principle of measuring joint function. Injury. 1995;26:SA1-SA11.
   Web of Science ®Google Scholar
• Butland RJA, Pang J, Gross ER, et al. Two-, six-, and 12-minute walking tests in respiratory disease. Br Med J. 1982;284:1607–1608.
   PubMed Web of Science ®Google Scholar
• Podsiadlo D. The timed “up & go”: a test of basic functional mobility for frail elderly persons. J Am Geriart Soc. 1991;39:142–148.
   PubMed Web of Science ®Google Scholar
• Kippers V, Parker AW. Toe-touch test. A measure of its validity. Phys Ther. 1987;67:1680–1684.
   PubMed Web of Science ®Google Scholar
• Steffen TM, Hacker TA, Mollinger L. Age- and gender-related test performance in community-dwelling elderly people: six-minute walk test, Berg Balance Scale, timed up & go test, and gait speeds. Phys Ther. 2002;82:128–137.
   PubMed Web of Science ®Google Scholar
• Armstrong WF, Ryan T. Stress echocardiography from 1979 to present. J Am Soc Echocardiogr. 2008;21:22–28.
   PubMed Web of Science ®Google Scholar
• Tousignant M, Poulin L, Marchand S, et al. The Modified-Modified Schober Test for range of motion assessment of lumbar flexion in patients with low back pain: a study of criterion validity, intra- and inter-rater reliability and minimum metrically detectable change. Disabil Rehabil. 2005;27:553–559.
   PubMed Web of Science ®Google Scholar
• Jackson A, Carnel C, Ditunno J, et al. Outcome measures for gait and ambulation in the spinal cord injury population. J Spinal Cord Med. 2008;31:487–499.
   PubMed Web of Science ®Google Scholar
• Rabin A, Gerszten PC, Karausky P, et al. The sensitivity of the seated straight-leg raise test compared with the supine straight-leg raise test in patients presenting with magnetic resonance imaging evidence of lumbar nerve root compression. Arch Phys Med Rehabil. 2007;88:840–843.
   PubMed Web of Science ®Google Scholar
• Hawker GA, Mian S, Kendzerska T, et al. Measures of adult pain: Visual Analog Scale for Pain (VAS Pain), Numeric Rating Scale for Pain (NRS Pain), McGill Pain Questionnaire (MPQ), Short-Form McGill Pain Questionnaire (SF-MPQ), Chronic Pain Grade Scale (CPGS), Short Form-36 Bodily Pain Scale (SF-36 BPS), and Measure of Intermittent and Constant Osteoarthritis Pain (ICOAP). Arthritis Care Res. 2011;63:S240–S252.
   PubMed Web of Science ®Google Scholar
• Cleland BT, Ingraham BA, Pitluck MC, et al. Reliability and validity of ratings of perceived exertion in persons with multiple sclerosis. Arch Phys Med Rehabil. 2016;97:974–982.
   PubMed Web of Science ®Google Scholar
• Matheson LN, Matheson ML, Grant J. Development of a measure of perceived functional ability. J Occup Rehabil. 1993;3:15–30.
   PubMedGoogle Scholar
• Mehrholz J, Wagner K, Rutte K, et al. Predictive validity and responsiveness of the functional ambulation category in hemiparetic patients after stroke. Arch Phys Med Rehabil. 2007;88:1314–1319.
   PubMed Web of Science ®Google Scholar
• Ware JE, Sherbourne CD. The MOS 36-item short-form health survey (Sf-36): I. conceptual framework and item selection. Med Care. 1992;30:473–483.
   PubMed Web of Science ®Google Scholar
• Löffler S, Wolf HD, Vogel H. Das Würzburger Screening zur Identifikation von beruflichen Problemlagen – Entwicklung und Validierung [The Würzburg screening for the identification of occupational problems – development and validation]. Gesundheitswesen. 2008;70:A77. German
   PubMedGoogle Scholar
• Kohlmann T, Raspe H. The Hannover Functional Ability Questionnaire for measuring back pain-related functional limitations (FFbH-R). Rehabilitation. 1996;35:I–VIII.
   PubMedGoogle Scholar
• Löwe B, Wahl I, Rose M, et al. A 4-item measure of depression and anxiety: validation and standardization of the Patient Health Questionnaire-4 (PHQ-4) in the general population. J Affect Disord. 2010;122:86–95.
   PubMed Web of Science ®Google Scholar
• Härter K. Screening for anxiety, depressive and somatoform disorders in rehabilitation validity of HADS and GHQ-12 in patients with musculoskeletal disease. Disabil Rehabil. 2009;23:737–744.
   Google Scholar