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      Integrating a gait analysis test in hospital rehabilitation: A service design approach

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          Abstract

          Background

          Gait analysis with motion capture (MoCap) during rehabilitation can provide objective information to facilitate treatment decision making. However, designing a test to be integrated into healthcare services requires considering multiple design factors. The difficulty of integrating a ‘micro-service’ (gait test) within a ‘macro-service’ (healthcare service) has received little attention in the gait analysis literature. It is a challenge that goes beyond the gait analysis case study because service design methods commonly focus on the entire service design (macro-level).

          Objective

          This study aims to extract design considerations and generate guidelines to integrate MoCap technology for gait analysis in the hospital rehabilitation setting. Specifically, the aim is to design a gait test to assess the response of the applied treatments through pre- and post-measurement sessions.

          Methods

          We focused on patients with spasticity who received botulinum toxin treatment. A qualitative research design was used to investigate the integration of a gait analysis system based on inertial measurement units in a rehabilitation service at a reference hospital. The methodological approach was based on contrasted methodologies from the service design field, which materialise through observation techniques (during system use), semi-structured interviews, and workshops with healthcare professionals (13 patients, 10 ‘proxies’, and 6 doctors).

          Results

          The analysis resulted in six themes: (1) patients’ understanding, (2) guiding the gait tests, (3) which professionals guide the gait tests, (4) gait test reports, (5) requesting gait tests (doctors and test guide communication), and the (6) conceptual design of the service with the gait test.

          Conclusions

          The extracted design considerations and guidelines increase the applicability and usefulness of the gait analysis technology, improving the link between technologists and healthcare professionals. The proposed methodological approach can also be useful for service design teams that deal with the integration of one service into another.

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          Most cited references46

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          Individual-patient monitoring in clinical practice: are available health status surveys adequate?

          Interest has increased in recent years in incorporating health status measures into clinical practice for use at the individual-patient level. We propose six measurement standards for individual-patient applications: (1) practical features, (2) breadth of health measured, (3) depth of health measured, (4) precision for cross-sectional assessment, (5) precision for longitudinal monitoring and (6) validity. We evaluate five health status surveys (Functional Status Questionnaire, Dartmouth COOP Poster Charts, Nottingham Health Profile, Duke Health Profile, and SF-36 Health Survey) that have been proposed for use in clinical practice. We conducted an analytical literature review to evaluate the six measurement standards for individual-patient applications across the five surveys. The most problematic feature of the five surveys was their lack of precision for individual-patient applications. Across all scales, reliability standards for individual assessment and monitoring were not satisfied, and the 95% CIs were very wide. There was little evidence of the validity of the five surveys for screening, diagnosing, or monitoring individual patients. The health status surveys examined in this paper may not be suitable for monitoring the health and treatment status of individual patients. Clinical usefulness of existing measures might be demonstrated as clinical experience is broadened. At this time, however, it seems that new instruments, or adaptation of existing measures and scaling methods, are needed for individual-patient assessment and monitoring.
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            Context Aware Computing for The Internet of Things: A Survey

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              Gait variability: methods, modeling and meaning

              The study of gait variability, the stride-to-stride fluctuations in walking, offers a complementary way of quantifying locomotion and its changes with aging and disease as well as a means of monitoring the effects of therapeutic interventions and rehabilitation. Previous work has suggested that measures of gait variability may be more closely related to falls, a serious consequence of many gait disorders, than are measures based on the mean values of other walking parameters. The Current JNER series presents nine reports on the results of recent investigations into gait variability. One novel method for collecting unconstrained, ambulatory data is reviewed, and a primer on analysis methods is presented along with a heuristic approach to summarizing variability measures. In addition, the first studies of gait variability in animal models of neurodegenerative disease are described, as is a mathematical model of human walking that characterizes certain complex (multifractal) features of the motor control's pattern generator. Another investigation demonstrates that, whereas both healthy older controls and patients with a higher-level gait disorder walk more slowly in reduced lighting, only the latter's stride variability increases. Studies of the effects of dual tasks suggest that the regulation of the stride-to-stride fluctuations in stride width and stride time may be influenced by attention loading and may require cognitive input. Finally, a report of gait variability in over 500 subjects, probably the largest study of this kind, suggests how step width variability may relate to fall risk. Together, these studies provide new insights into the factors that regulate the stride-to-stride fluctuations in walking and pave the way for expanded research into the control of gait and the practical application of measures of gait variability in the clinical setting.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Investigation
                Role: ConceptualizationRole: Project administrationRole: Supervision
                Role: ConceptualizationRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                30 October 2019
                2019
                : 14
                : 10
                : e0224409
                Affiliations
                [1 ] IDERGO (Research and Development in Ergonomics) Research Group, I3A (Aragon Institute of Engineering Research), University of Zaragoza, Zaragoza, Spain
                [2 ] Department of Design and Manufacturing Engineering, University of Zaragoza, Zaragoza, Spain
                [3 ] HOWLab (Human Openware Research Lab) Research Group, I3A, University of Zaragoza, Zaragoza, Spain
                [4 ] GeoSpatiumLab, S.L. Zaragoza, Spain
                [5 ] Department of Health and Sports Sciences, University of Zaragoza, Zaragoza, Spain
                [6 ] Rehabilitation and Physical Medicine Service, HUMS (Miguel Servet University Hospital), Zaragoza, Spain
                University of Birmingham, UNITED KINGDOM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-4527-3267
                Article
                PONE-D-19-19267
                10.1371/journal.pone.0224409
                6821402
                31665158
                67e86e94-90b0-450f-9c2b-3ccb6356b875
                © 2019 Marín et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 9 July 2019
                : 11 October 2019
                Page count
                Figures: 6, Tables: 3, Pages: 23
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Biology and Life Sciences
                Physiology
                Biological Locomotion
                Gait Analysis
                Medicine and Health Sciences
                Physiology
                Biological Locomotion
                Gait Analysis
                Medicine and Health Sciences
                Rehabilitation Medicine
                Gait Rehabilitation
                People and Places
                Population Groupings
                Professions
                Medical Personnel
                Medical Doctors
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Medical Doctors
                Biology and Life Sciences
                Physiology
                Biological Locomotion
                Walking
                Medicine and Health Sciences
                Physiology
                Biological Locomotion
                Walking
                People and Places
                Population Groupings
                Professions
                Medical Personnel
                Medical Doctors
                Physicians
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Medical Doctors
                Physicians
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Decision Making
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Decision Making
                Social Sciences
                Psychology
                Cognitive Psychology
                Decision Making
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognition
                Decision Making
                Biology and Life Sciences
                Toxicology
                Toxic Agents
                Toxins
                Bacterial Toxins
                Botulinum Toxin
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Toxicology
                Toxic Agents
                Toxins
                Bacterial Toxins
                Botulinum Toxin
                Research and Analysis Methods
                Research Design
                Qualitative Studies
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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