Formative capsule’ for the recognition of alterations and gait pattern in a patient with Parkinson's disease

Formative capsule’ for the recognition of alterations and gait pattern in a patient with Parkinson's disease

Main Article Content

Lidia Castillo-Mariqueo
Lydia Giménez-Llort

Abstract

Gait disorders have a great impact on the elderly population worldwide. In this age group, gait disturbance can be complicated by geriatric fall syndrome. The objective is Recognition of the main changes in locomotion and displacement of an older adult. The method is based on a theoretical and practical session of three hours in which 36 people participated was applied an initial and final survey to detect the main indicators of visual recognition of possible alterations. Audiovisual records of clinical cases were used under different observation planes. Subsequently, a discussion was held to unify the main ideas together with a final diagnosis. The results are in the conceptual field, the subjects do not reach 50% recognition of key terms. Regarding the identification of alterations and changes produced by aging, only 32% were able to determine the most relevant elements, as well as intrinsic and extrinsic factors that were below 30%. Upon completion, participants were able to recognize over 70% of key elements, reaching a significant statistical difference of p =0.000 (X2 ). The ability to recognize alterations in locomotion and displacement of the elderly was significantly improved.

References

Cerda, A.L. (2010). Evaluación del paciente con trastorno de la marcha. Revista del Hospital Clínico
de la Universidad de Chile, (21), 326-336.

Cheng, H.C., Ulane, C., y Burke, R. (2010). Clinical progression in Parkinson’s disease and the
neurobiology of Axons. Annals of Neurology, 67(6), 715-725. doi:
10.1002/ana.21995.Clinical

Hass, C.J., Waddell, D.E., Wolf, S.L., Juncos, J.L., y Gregor, R.J. (2008). Gait initiation in older
adults with postural instability. Clinical Biomechanics, 23(6), 743-753. doi:
10.1016/j.clinbiomech.2008.02.012.GAIT

Hug, T. (2005). Micro Learning and Narration: Exploring possibilities of utilization of narrations
and storytelling for the designing of “micro units” and didactical micro-learning
arrangements. Proceedings of the Fourth Media in Transition Conference.

Jankovic, J. (2008). Parkinson’s disease: Clinical features and diagnosis. Journal of Neurology,
Neurosurgery and Psychiatry, 79(4), 368-376. doi: 10.1136/jnnp.2007.131045

Martínez-Fernández., R., Gasca-Salas C., C., Sánchez-Ferro, Á., y Ángel Obeso, J. (2016).
Actualización en la enfermedad de parkinson. Revista Médica Clínica las Condes, 27(3),
363-379. doi: 10.1016/j.rmclc.2016.06.010

Orcioli-Silva, D., Barbieri, F.A., Simieli, L., Vitorio, R., Santos, P.C.R., Beretta, V.S., y Gobbi,
L.T.B. (2017). Walking behavior over multiple obstacles in people with Parkinson’s
disease. Gait and Posture, 58, 510-515. doi: 10.1016/j.gaitpost.2017.09.021

Schoneburg, B., Mancini, M., Horak, F., y Nutt, J.G. (2013). Framework for understanding balance
dysfunction in Parkinson’s disease. Movement Disorders, 28(11), 1474-1482. doi:
10.1002/mds.25613

Suzuki, K., Okuma, Y., Uchiyama, T., Miyamoto, M., Sakakibara, R., Shimo, Y., … Hirata, K.
(2017). Impact of sleep-related symptoms on clinical motor subtypes and disability in
Parkinson’s disease: A multicentre cross-sectional study. Journal of Neurology,
Neurosurgery and Psychiatry, 88(11), 953-959. doi: 10.1136/jnnp-2017-316136

Sveinbjornsdottir, S. (2016). The clinical symptoms of Parkinson’s disease. Journal of
Neurochemistry, 139, 318-324. doi: 10.1111/jnc.13691