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1.
Scott Med J ; 57(4): 212-6, 2012 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-23028174

RESUMEN

Older people represent the fastest growing sector of society and a growing proportion of those undergoing elective surgery. Older people are at the highest risk of increased length of stay and postoperative complications. We evaluated the development of a nurse-led multidimensional preoperative assessment for older people. An older people's preassessment nurse reviewed consecutive patients undergoing elective surgery who met the inclusion criteria. In the first five months control phase, assessment was not acted on. Following the intervention, patients were referred to appropriate specialties for input. A total of 141 patients were reviewed before and 172 patients reviewed after the introduction of the pilot. Length of stay was reduced from 8.9 to 4.9 days after the introduction of the pilot (P < 0.001). Delays were reduced from 9.9% to 2.3% (P = 0.004) and fewer procedures were cancelled at pre-assessment (17.7% before, 5.2% after; P < 0.001). Serious postoperative complications were reduced from 8.5% to 2.3% (P = 0.01). Coordinated multidisciplinary preoperative assessment in the elderly may reduce complications and length of stay.


Asunto(s)
Procedimientos Quirúrgicos Electivos , Complicaciones Posoperatorias/prevención & control , Pautas de la Práctica en Enfermería , Cuidados Preoperatorios/métodos , Anciano , Citas y Horarios , Femenino , Humanos , Tiempo de Internación , Masculino , Grupo de Atención al Paciente , Proyectos Piloto , Derivación y Consulta , Estudios Retrospectivos
2.
Gait Posture ; 12(1): 25-33, 2000 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-10996294

RESUMEN

Previous work on in-situ calibration of force platforms has focused primarily on behaviour under static loading conditions. The prototype described in this paper is a dynamic system, designed to approximate the loading profile generated during human gait. The design, construction and performance of an oscillating lead pendulum assembly is described; including three-dimensional visual performance assessment and rigorous multi-component force analysis. No significant difference was found between measured data and a theoretical profile for vertical force and angular displacement. A significant difference was found for the horizontal force component. The authors believe that further development of this prototype model will allow accurate routine dynamic calibration.


Asunto(s)
Marcha , Fenómenos Biofísicos , Biofisica , Calibración , Humanos
3.
Arch Dis Child ; 87(2): 160-5, 2002 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-12138073

RESUMEN

BACKGROUND: It is difficult to identify the range of gait deviations associated with juvenile idiopathic arthritis (JIA) using simple clinical observations. AIMS: To use objective gait analysis to accurately describe biomechanical gait abnormalities in JIA and to search for common patterns, which may subsequently serve as a basis for therapeutic intervention. METHODS: Children with persistent polyarticular arthritis and symmetrical joint involvement were referred to the Gait Analysis Laboratory and independently assessed by a multidisciplinary team. Gait analysis was performed using an in-house Visual Vector System and the Novel PEDAR in-shoe plantar pressure measurement system. Clinical groupings were based on the extent of joint restriction: minimal (group A), and moderate-severe (with supinatory foot deformity (group B), or with pronatory foot deformity (group C)). Gait analysis enabled classification of each subject into one of four gait patterns: either near normal (pattern I) or one of three adaptive patterns defined by the predominant abnormality--lower limb pain (pattern II), lower limb deformity (pattern III), or a combination of pain and deformity of the lower limb (pattern IV). RESULTS: Of the 15 subjects assessed as part of this study, seven were placed into clinical group A, six into group B, and two into group C. All the subjects with gait patterns I and II were found in clinical group A. Both subjects from clinical group C exhibited gait pattern III. All subjects from clinical group B and the remainder from group A exhibited a mixture of gait patterns III and IV. CONCLUSION: Despite the initial clinical observations it was not always possible to predict the resultant gait pattern. Scientific gait analysis allowed a clear distinction to be made between primary and secondary gait deviations, and accurate targeting of physiotherapy and orthotic interventions to suit each individual. Prospective quantitative analysis in a larger sample is under way to support the clinical effectiveness of these findings.


Asunto(s)
Artritis Juvenil/fisiopatología , Marcha , Adaptación Fisiológica , Adolescente , Artritis Juvenil/complicaciones , Artritis Juvenil/rehabilitación , Fenómenos Biomecánicos , Niño , Preescolar , Femenino , Humanos , Deformidades Adquiridas de la Articulación/etiología , Deformidades Adquiridas de la Articulación/fisiopatología , Masculino , Estudios Prospectivos , Rango del Movimiento Articular
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