Nejvíce citovaný článek - PubMed ID 10855904
BACKGROUND: The application of rehabilitation robots has grown during the last decade. While meta-analyses have shown beneficial effects of robotic interventions for some patient groups, the evidence is less in others. We established the Advanced Robotic Therapy Integrated Centers (ARTIC) network with the goal of advancing the science and clinical practice of rehabilitation robotics. The investigators hope to exploit variations in practice to learn about current clinical application and outcomes. The aim of this paper is to introduce the ARTIC network to the clinical and research community, present the initial data set and its characteristics and compare the outcome data collected so far with data from prior studies. METHODS: ARTIC is a pragmatic observational study of clinical care. The database includes patients with various neurological and gait deficits who used the driven gait orthosis Lokomat® as part of their treatment. Patient characteristics, diagnosis-specific information, and indicators of impairment severity are collected. Core clinical assessments include the 10-Meter Walk Test and the Goal Attainment Scaling. Data from each Lokomat® training session are automatically collected. RESULTS: At time of analysis, the database contained data collected from 595 patients (cerebral palsy: n = 208; stroke: n = 129; spinal cord injury: n = 93; traumatic brain injury: n = 39; and various other diagnoses: n = 126). At onset, average walking speeds were slow. The training intensity increased from the first to the final therapy session and most patients achieved their goals. CONCLUSIONS: The characteristics of the patients matched epidemiological data for the target populations. When patient characteristics differed from epidemiological data, this was mainly due to the selection criteria used to assess eligibility for Lokomat® training. While patients included in randomized controlled interventional trials have to fulfill many inclusion and exclusion criteria, the only selection criteria applying to patients in the ARTIC database are those required for use of the Lokomat®. We suggest that the ARTIC network offers an opportunity to investigate the clinical application and effectiveness of rehabilitation technologies for various diagnoses. Due to the standardization of assessments and the use of a common technology, this network could serve as a basis for researchers interested in specific interventional studies expanding beyond the Lokomat®.
PURPOSE: Multiple sclerosis (MS) manifests itself in a wide range of symptoms. Physiotherapy plays an important role in the treatment of those symptoms connected with mobility. For this therapy to be at its most effective it should be based on a systematic examination that is able to describe and classify damaged clinical functions meaningfully. The purpose of this study was to develop and validate a battery of tests and composite tests that can be used to systematically evaluate clinical features of MS treatable by physiotherapy. METHODS: The authors assembled a proposed battery of tests comprising known, standard, and validated assessments (low-contrast letter acuity testing; the Motricity Index; the Modified Ashworth Scale; the Berg Balance Scale; scales of postural reactions, tremor, dysdiadochokinesia, and dysmetria; the Nine-Hole Peg Test; the Timed 25-Foot Walk; and the 3-minute version of the Paced Auditory Serial Addition Test) and one test (knee hyperextension) of the authors' own. Normalization was calculated and six composite assessments were measured. Seventeen ambulatory subjects with MS were tested twice with the assessment set before undergoing physiotherapy, and 12 were also tested with the assessment set after the physiotherapy. The test-retest reliability, stability, internal consistency of composite measurements, sensitivity to changes after therapy, and correlation between measurements and the Kurtzke Expanded Disability Status Scale score were evaluated for all tests in the assessment set. RESULTS: A good internal consistency was confirmed for all tests in the proposed battery, and most of the tests also showed good test-retest reliability. While no significant changes occurred without treatment, significant posttreatment improvement was proved in all tests except for low-contrast letter acuity testing, where only a trend to improvement was proved. CONCLUSION: The proposed assessment set is a good tool for the evaluation of clinical features of MS treatable by physiotherapy. This battery of tests is applicable in both clinical practice and research.
- Klíčová slova
- internal consistency, outcome assessment, psychometric properties, reproducibility of results, test–retest reliability,
- Publikační typ
- časopisecké články MeSH
