Abstract
Background and objective
With the growing incidence of upper arm fractures among older people, innovative treatment strategies will be needed in geriatric rehabilitation. A pilot study was designed to test the feasibility of robotic-assisted rehabilitation after proximal humeral fractures.
Patients and methods
Within a sample of 8 older patients (79.5 ± 6.12 years), functional ability, quality and range of movement, self-rated impairment, quality of life, and user satisfaction were measured in an observational pre-/postdesign. During rehabilitation robotic-assisted training was applied.
Results
Training motivation and acceptance were high in this sample, showing improvements in functional ability (p = 0.03), quality of movement (p = 0.02), range of motion, self-evaluation (p = 0.01), and quality of life.
Conclusion
This pilot study highlights the possible implementation of robotic-assisted rehabilitation after proximal humeral fractures in geriatric rehabilitation. The measurement and training protocol was suitable to document progress in rehabilitation.
Zusammenfassung
Hintergrund und Zielsetzung
Die steigende Inzidenzrate von Oberarmfrakturen im Alter verlangt nach innovativen Behandlungsstrategien in der geriatrischen Rehabilitation. In einer Pilotstudie sollte die Machbarkeit eines roboterassistierten Trainings bei Patienten mit proximalen Humerusfrakturen untersucht werden.
Patienten und Methodik
Bei 8 älteren Patienten (79,5 ± 6,12 Jahre) wurde in einer Beobachtungsstudie Funktionalität, Bewegungsqualität und Beweglichkeit, subjektive Funktionseinschränkung, Lebensqualität und die Anwenderzufriedenheit vor und nach der Rehabilitation untersucht. Während der Rehabilitation wurde ein roboterassistiertes Training durchgeführt.
Ergebnisse
Die Trainingsmotivation und Akzeptanz unter den Patienten waren hoch. Beobachtet wurden Verbesserungen der Armfunktion (p = 0,03), Bewegungsqualität (p = 0,02), Beweglichkeit des betroffenen Arms, Selbsteinschätzung (p = 0,01) und der Lebensqualität.
Schlussfolgerungen
Die Ergebnisse der Pilotstudie unterstützen die Implementation des roboterassistiertes Training nach proximalen Humerusfrakturen in der geriatrischen Rehabilitation. Das gewählte Mess- und Trainingsprotokoll war geeignet, um Veränderungen zu dokumentieren.
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References
Lanting B et al (2008) Proximal humeral fractures: a systematic review of treatment modalities. J Shoulder Elbow Surg 17(1):42–54
Kostler W, Strohm PC, Sudkamp NP (2002) New techniques for bone synthesis on the humerus. Chirurg 73(10):969–977
Palvanen M et al (2006) Update in the epidemiology of proximal humeral fractures. Clin Orthop Relat Res 442:87–92
Resch H (2003) Fractures of the humeral head. Unfallchirurg 106(8):602–617
Kutscha-Lissberg F et al (2000) Fracture management in the aged. Orthopade 29(4):274–280
Handoll HH, Ollivere BJ (2010) Interventions for treating proximal humeral fractures in adults. Cochrane Database Syst Rev 12:CD000434
Bertoft ES, Lundh I, Ringqvist I (1984) Physiotherapy after fracture of the proximal end of the humerus. Comparison between two methods. Scand J Rehabil Med 16(1):11–16
Liepert J et al (1998) Motor cortex plasticity during constraint-induced movement therapy in stroke patients. Neurosci Lett 250(1):5–8
You SH et al (2005) Virtual reality-induced cortical reorganization and associated locomotor recovery in chronic stroke: an experimenter-blind randomized study. Stroke 36(6):1166–1171
Brochard S et al (2010) What’s new in new technologies for upper extremity rehabilitation? Curr Opin Neurol 23(6):683–687
Prange GB et al (2006) Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke. J Rehabil Res Dev 43(2):171–184
Gijbels D et al (2011) The Armeo Spring as training tool to improve upper limb functionality in multiple sclerosis: a pilot study. J Neuroeng Rehabil 8:5
Lo AC et al (2010) Robot-assisted therapy for long-term upper-limb impairment after stroke. N Engl J Med 362(19):1772–1183
Nef T et al (2009) Effects of arm training with the robotic device ARMin I in chronic stroke: three single cases. Neurodegener Dis 6(5–6):240–251
Reinkensmeyer DJ, Patton JL (2009) Can robots help the learning of skilled actions? Exerc Sport Sci Rev 37(1):43–51
Prange GB et al (2009) Influence of gravity compensation on muscle activation patterns during different temporal phases of arm movements of stroke patients. Neurorehabil Neural Repair 23(5):478–485
Wolf SL et al (2001) Assessing wolf motor function test as outcome measure for research in patients after stroke. Stroke 32(7):1635–1639
Bohannon RW, Schaubert KL (2005) Test-retest reliability of grip-strength measures obtained over a 12-week interval from community-dwelling elders. J Hand Ther 18(4):426–427, quiz
Ryf C, Weymann A (1999) Range of motion – AO neutral-0 method: measurement and documentation. Thieme, Stuttgart, ISBN 978-3-13-116791-0
Germann G et al (2003) Standardisation and validation of the German version 2.0 of the Disability of Arm, Shoulder, Hand (DASH) questionnaire. Unfallchirurg 106(1):13–19
Dixon D et al (2008) The Disabilities of the Arm, Shoulder and Hand Questionnaire (DASH) can measure the impairment, activity limitations and participation restriction constructs from the International Classification of Functioning, Disability and Health (ICF). BMC Musculoskelet Disord 9:114
EuroQol-Group (1990) EuroQol—a new facility for the measurement of health-related quality of life. The Euro Qol Group. Health Policy 16(3):199–208
Greiner W et al (2005) Validating the EQ-5D with time trade off for the German population. Eur J Health Econ 6(2):124–130
Wade DT (1992) Measurement in neurological rehabilitation. Curr Opin Neurol Neurosurg 5(5):682–686
Kwakkel G, Kollen BJ, Krebs HI (2008) Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review. Neurorehabil Neural Repair 22(2):111–121
Guralnik JM, Winograd CH (1994) Physical performance measures in the assessment of older persons. Aging (Milano) 6(5):303–305
Bohannon RW et al (2007) Average grip strength: a meta-analysis of data obtained with a Jamar dynamometer from individuals 75 years or more of age. J Geriatr Phys Ther 30(1):28–30
Bohannon RW (1998) Hand-grip dynamometry provides a valid indication of upper extremity strength impairment in home care patients. J Hand Ther 11(4):258–260
Mills KL (1974) Severe injuries of the upper end of the humerus. Injury 6(1):13–21
Youdas JW et al (1994) Reliability of goniometric measurements of active arm elevation in the scapular plane obtained in a clinical setting. Arch Phys Med Rehabil 75(10):1137–1144
Triffitt PD (1998) The relationship between motion of the shoulder and the stated ability to perform activities of daily living. J Bone Joint Surg Am 80(1):41–46
Hanson B et al (2009) Functional outcomes after nonoperative management of fractures of the proximal humerus. J Shoulder Elbow Surg 18(4):612–621
Olerud P et al (2010) Quality of life and functional outcome after a 2-part proximal humeral fracture: a prospective cohort study on 50 patients treated with a locking plate. J Shoulder Elbow Surg 19(6):814–822
Coley B et al (2008) Estimating dominant upper-limb segments during daily activity. Gait Posture 27(3):368–375
Acknowledgments
The study was supported by the Robert Bosch Stiftung (Kompetenzzentrum Geriatrie), Stuttgart, Germany. The robotic system was funded by the “Verein Freunde und Förderer des Robert-Bosch-Krankenhauses e. V.”
Conflict of interest
The corresponding author states the following: Anna Stähler was partly supported by Hocoma GmbH. The sponsors had no influence on the design and conduction of the study, or on the writing of the manuscript and the decision to submit the manuscript for publication.
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Schwickert, L., Klenk, J., Stähler, A. et al. Robotic-assisted rehabilitation of proximal humerus fractures in virtual environments. Z Gerontol Geriat 44, 387–392 (2011). https://doi.org/10.1007/s00391-011-0258-2
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DOI: https://doi.org/10.1007/s00391-011-0258-2