Differentiates between clinical reasoning for diagnosis, etiology, prognosis, and for interventions. Includes basic knowledge about clinical reasoning and more in-depth knowledge, illustrated with videos. Helps to understand and to critical appraise the common research designs in healthcare scientific literature.
BackgroundIt can be very challenging for practitioners to talk with autistic children, especially when the conversation calls for self-regulation. Self-regulation is inextricably linked to awareness of oneself and others in social contexts. Encouraging the need for autonomy could help increase self-awareness and awareness of others in social events, which in turn could strengthen self-regulation. However, little is known about how autonomy influences competence in reasoning about self and others when regarding social events in which autistic children participate. This study explores the reasoning of self-other awareness on a microlevel timescale using ipsative, dynamic approaches to autism. The central question in this study is: to what extent can autonomy-provided scaffolding (APS) elicit high levels of reasoning about self-others in social events (RSS) over time?MethodWe used video-taped interaction data from three sessions between one autistic child and a practitioner, contextualized by a set of animated DSM-5-based items of social events on which the child was asked to reflect. Interaction variables were the child's level of RSS and the practitioner's level of APS. We coded the real-time interaction.ResultsFirst, when exploring the dynamics of the microdata, we found contingency over time within sessions. Second, over the sessions, the practitioner showed a stable high level of APS, whereas the child's level of RSS increased. Third, a coupling effect between the level of APS and RSS was found within and over sessions. Salient is that the child and practitioner increasingly adapted to each other over the three sessions, and over time, high-level APS of the practitioner elicited higher levels of RSS of the child.DiscussionBecause the child showed a significant improvement in RSS over time, our research question provides a promising perspective. Contrary to what one might expect in autism, APS supported the performance of the child in reasoning about self-others in social situations. These outcomes underline the importance of giving voice to autistic children. The results may encourage researchers to develop strategies and tools that can help give a voice to children, to gain more insight into the child's reasoning. This may further develop self-other awareness and self-regulation in the social events of autistic children.
Background: Clinical reasoning skills are considered to be among the key competencies a physiotherapist should possess. Yet, we know little about how physiotherapy students actually learn these skills in the workplace. A better understanding will benefit physiotherapy education.Objectives: To explore how undergraduate physiotherapy students learn clinical reasoning skills during placements.Design: A qualitative research design using focus groups and semi-structured interviews.Setting: European School of Physiotherapy, Amsterdam, the Netherlands.Participants: Twenty-two undergraduate physiotherapy students and eight clinical teachers participated in this study.Main outcome measures: Thematic analysis of focus groups and semi-structured interviews.Results: Three overarching factors appeared to influence the process of learning clinical reasoning skills: the learning environment, the clinical teacher and the student. Preclinical training failed to adequately prepare students for clinical practice, which expected them to integrate physiotherapeutic knowledge and skills into a cyclic reasoning process. Students’ basic knowledge and assessment structure therefore required further development during the placements. Clinical teachers expected a holistic, multifactorial problem-solving approach from their students. Both students and teachers considered feedback and reflection essential to clinical learning. Barriers to learning experienced by students included time constraints, limited patient exposure and patient communication.Conclusions: Undergraduate physiotherapy students develop clinical reasoning skills through comparison of and reflection on different reasoning approaches observed in professional therapists. Over time, students learn to synthesise these different approaches into their own individual approach. Physiotherapy programme developers should aim to include a wide variety of multidisciplinary settings and patient categories in their clinical placements.
The focus of the research is 'Automated Analysis of Human Performance Data'. The three interconnected main components are (i)Human Performance (ii) Monitoring Human Performance and (iii) Automated Data Analysis . Human Performance is both the process and result of the person interacting with context to engage in tasks, whereas the performance range is determined by the interaction between the person and the context. Cheap and reliable wearable sensors allow for gathering large amounts of data, which is very useful for understanding, and possibly predicting, the performance of the user. Given the amount of data generated by such sensors, manual analysis becomes infeasible; tools should be devised for performing automated analysis looking for patterns, features, and anomalies. Such tools can help transform wearable sensors into reliable high resolution devices and help experts analyse wearable sensor data in the context of human performance, and use it for diagnosis and intervention purposes. Shyr and Spisic describe Automated Data Analysis as follows: Automated data analysis provides a systematic process of inspecting, cleaning, transforming, and modelling data with the goal of discovering useful information, suggesting conclusions and supporting decision making for further analysis. Their philosophy is to do the tedious part of the work automatically, and allow experts to focus on performing their research and applying their domain knowledge. However, automated data analysis means that the system has to teach itself to interpret interim results and do iterations. Knuth stated: Science is knowledge which we understand so well that we can teach it to a computer; and if we don't fully understand something, it is an art to deal with it.[Knuth, 1974]. The knowledge on Human Performance and its Monitoring is to be 'taught' to the system. To be able to construct automated analysis systems, an overview of the essential processes and components of these systems is needed.Knuth Since the notion of an algorithm or a computer program provides us with an extremely useful test for the depth of our knowledge about any given subject, the process of going from an art to a science means that we learn how to automate something.
For English see below In dit project werkt het Lectoraat ICT-innovaties in de Zorg van hogeschool Windesheim samen met zorganisaties de ZorgZaak, De Stouwe, en IJsselheem en daarnaast Zorgcampus Noorderboog, Zorgtrainingscentrum Regio Zwolle, Patiëntenfederatie NPCF, VitaalThuis, ActiZ, Vilans, V&VN, Universiteit Twente en het Lectoraat Innoveren in de Ouderenzorg van Windesheim aan het in staat stellen van wijkverpleegkundigen om autonoom en doelmatig, op basis van klinisch redeneren, eHealth te indiceren en in te zetten bij cliënten. De aanleiding voor dit project wordt gevormd door de wijzigingen per 1 januari 2015 in de Zorgverzekeringswet. Wijkverpleegkundigen zijn sindsdien zelf verantwoordelijk voor de indicatiestelling en zorgtoewijzing voor verzorging en verpleging thuis: zij moeten bepalen welke zorg hun cliënten nodig hebben gezien hun individuele situaties, en hoe die zorg het best geleverd kan worden. Zorgverzekeraars leggen hierbij minimumeisen op, o.a. met betrekking tot de inzet van eHealth. Wijkverpleegkundigen hebben op dit moment echter niet of nauwelijks ervaring met het inzetten en toepassen van technologische toepassingen zoals eHealth. Vraagarticulatie leidde tot de volgende praktijkvraagstelling: 1. Hoe kunnen wijkverpleegkundigen worden voorzien in hun informatiebehoefte over eHealth? 2. Hoe kunnen wijkverpleegkundigen worden ondersteund in hun klinisch redeneren over het inzetten van eHealth bij hun cliënten? 3. Hoe kunnen wijkverpleegkundigen worden ondersteund bij het inzetten van eHealth in hun zorgproces? Het project levert hiertoe drie bijdragen: - De eerste bijdrage is een duurzaam geborgde keuzehulp (een app voor tablet of smartphone) waarmee wijkverpleegkundigen toegang hebben tot de benodigde informatie over eHealth-toepassingen en die aansluit bij de manier waarop wijkverpleegkundigen zorg indiceren (bijvoorbeeld door relaties te leggen tussen NIC-interventies en bijpassende eHealth-toepassingen). - Informatievoorziening is niet een afdoende antwoord op de handelingsverlegenheid van de wijkverpleegkundige omdat eHealth sterk in ontwikkeling is en blijft waardoor er altijd een discrepantie zal bestaan tussen de beschikbare en de benodigde informatie. . De tweede bijdrage van dit project is daarom kennis over (en inzicht in) het klinisch redeneren over de inzet van eHealth. Deze kennis wordt in het project doorvertaald naar een trainingsmodule die erop is gericht om het klinisch redeneren van wijkverpleegkundigen over het inzetten van eHealth en andere thuiszorgtechnologie bij hun cliënten te versterken. - De derde bijdrage van dit project omhelst inbedding van bovengenoemde resultaten in het verpleegkunde-onderwijs van onder meer Windesheim en in nascholingstrajecten voor wijkverpleegkundigen. Voor duurzame, bredere inbedding in het onderwijs wordt samengewerkt met regionale zorgonderwijsnetwerken. In this project the research group IT-innovations in Health Care of Windesheim University of Applied Sciences cooperates with care organisations de ZorgZaak, De Stouwe, and IJsselheem, and stakeholders Zorgcampus Noorderboog, Zorgtrainingscentrum Regio Zwolle, Patiëntenfederatie NPCF, VitaalThuis, ActiZ, Vilans, V&VN, University of Twente, and research group Innovation of Care of Older Adults of Windesheim to enable home care nurses to autonomously and adequately, based on clinical reasoning, allocate eHealth and implement it in patient care. The motivation behind this project lies in the alterations in the care insurance legislation per January 2015. Since then, home care nurses are responsible for the care allocation of all care at home: they determine which care their clients require, taking into account the individual situations, and how this care can best be delivered. Care insurance companies impose minimum requirements for this allocation of home care, among others concerning the implementation of eHealth. Home care nurses, however, have no or limited information about and experience with technical applications like eHealth. Articulation of the demands of home care nurses resulted in the following questions: 1. How can home care nurses be provided with information concerning eHealth? 2. How can home care nurses be supported in their clinical reasoning about the deployment of eHealth by their patients? 3. How can home care nurses be supported when deploying eHealth in their care process? This project contributes in three ways: " The first contribution is a sustainable selection tool (an app for tablet or smartphone) to be used by home care nurses to provide them with the required information about eHealth applications. This selection tool will work in accordance with how home care nurses allocate care, e.g. by relating NIC-interventions to matching eHealth applications. " Providing information is an insufficient, although necessary, answer to the demands of home care nurses because of continuously developing eHealth applications. Hence, the second contribution of this project is knowledge about (and insight in) the clinical reasoning about the deployment of eHealth. This knowledge will be converted into a training module aimed at strengthening the clinical reasoning about the deployment of eHealth by their patients. " The third contribution of this project concerns embedding the selection tool and the training module in regular education (among others at Windesheim) and in refresher courses for home care nurses. Cooperation with regional care education networks will ensure sustainable and broad embedding of both the selection tool and the training module.
Meestal is er geen specifieke oorzaak te vinden voor nekpijn. Fysiotherapie richt zich daarom op algemene zaken, zoals spierkracht en beweeglijkheid. We onderzoeken of er effectieve behandelingen zijn voor subgroepen met niet-specifieke nekpijn. Met deze inzichten kunnen we fysiotherapie verbeteren.Doel We willen inzicht krijgen in effectieve behandelingen bij subgroepen patiënten met niet-specifieke nekpijn. Dit leidt uiteindelijk tot kostenvermindering voor de maatschappij en een sneller en beter herstel van de patiënten. Resultaten Dit onderzoek loopt nog. Na afronding vind je hier een samenvatting van alle resultaten. Tot nu toe is duidelijk geworden dat de volgende behandelingen effectief kunnen zijn bij patiënten met niet-specifieke nekpijn: Behandelingen gericht op kracht en uithoudingsvermogen. Behandelingen gericht op coördinatie met gebruik van visuele feedback. Een voorbeeld hiervan is patiënten met een laserlamp een parcours laten uitvoeren op een scherm. De resultaten van het onderzoek worden verwerkt in het bachelor- en masteronderwijs en cursussen binnen het werkveld. Looptijd 01 december 2015 - 01 december 2020 Aanpak Dit onderzoek bestaat uit verschillende delen: We onderzoeken wat er vanuit wetenschappelijk onderzoek al bekend is over de relatie tussen beperking in activiteit en een passende behandeling. We voeren een Delphi-studie uit onder deskundigen naar het behandelen van mensen met niet-specifieke nekpijn. We vragen ze naar een overeenstemming over de relatie tussen beperking in activiteit en een algemene behandeling, zoals het trainen van spierkracht. We onderzoeken of beweegoefeningen en/of manipulaties, als meest onderzochte behandelingen bij mensen met nekpijn, zo zijn beschreven dat we het kunnen hergebruiken. In de laatste studie onderzoeken we of beweegoefeningen en/of manipulaties effectief zijn in het herstellen van de beweeglijkheid. Het gaat hierbij om een subgroep van mensen met nekpijn die ook beperkt zijn in hun beweeglijkheid. Rapporten tot nu toe: The clinical reasoning process in randomized clinical trials with patients with non-specific neck pain is incomplete: A systematic review. Maissan F, Pool J, de Raaij E, Mollema J, Ostelo R, Wittink H. Musculoskelet Sci Pract. 2018 Jun;35:8-17 Clinical reasoning in unimodal interventions in patients with non-specific neck pain in daily physiotherapy practice, a Delphi study. Maissan F, Pool J, Stutterheim E, Wittink H, Ostelo R., Musculoskelet Sci Pract. 2018 Oct;37:8-16
