Purpose: To systematically review the literature on effectiveness of remote physiotherapeutic e-Health interventions on pain in patients with musculoskeletal disorders. Materials and methods: Using online data sources PubMed, Embase, and Cochrane in adults with musculoskeletal disorders with a pain-related complaint. Remote physiotherapeutic e-Health interventions were analysed. Control interventions were not specified. Outcomes on effect of remote e-Health interventions in terms of pain intensity. Results: From 11,811 studies identified, 27 studies were included. There is limited evidence for the effectiveness for remote e-Health for patients with back pain based on five articles. Twelve articles studied chronic pain and the effectiveness was dependent on the control group and involvement of healthcare providers. In patients with osteoarthritis (five articles), total knee surgery (two articles), and knee pain (three articles) no significant effects were found for remote e-Health compared to control groups. Conclusions: There is limited evidence for the effectiveness of remote physiotherapeutic e-Health interventions to decrease pain intensity in patients with back pain. There is some evidence for effectiveness of remote e-Health in patients with chronic pain. For patients with osteoarthritis, after total knee surgery and knee pain, there appears to be no effect of e-Health when solely looking at reduction of pain. Implications for rehabilitation This review shows that e-Health can be an effective way of reducing pain in some populations. Remote physiotherapeutic e-Health interventions may decrease pain intensity in patients with back pain. Autonomous e-Health is more effective than no treatment in patients with chronic pain. There is no effect of e-Health in reduction of pain for patients with osteoarthritis, after total knee surgery and knee pain.Implications for rehabilitation* This review shows that e-Health can be an effective way of reducing pain in some populations.* Remote physiotherapeutic e-Health interventions may decrease pain intensity in patients with back pain.* Autonomous e-Health is more effective than no treatment in patients with chronic pain.* There is no effect of e-Health in reduction of pain for patients with osteoarthritis, after total knee surgery and knee pain.
Background: Many intervention development projects fail to bridge the gap from basic research to clinical practice. Instead of theory-based approaches to intervention development, co-design prioritizes the end users' perspective as well as continuous collaboration between stakeholders, designers, and researchers throughout the project. This alternative approach to the development of interventions is expected to promote the adaptation to existing treatment activities and to be responsive to the requirements of end users. Objective: The first objective was to provide an overview of all activities that were employed during the course of a research project to develop a relapse prevention intervention for interdisciplinary pain treatment programs. The second objective was to examine how co-design may contribute to stakeholder involvement, generation of relevant insights and ideas, and incorporation of stakeholder input into the intervention design. Methods: We performed an embedded single case study and used the double diamond model to describe the process of intervention development. Using all available data sources, we also performed deductive content analysis to reflect on this process. Results: By critically reviewing the value and function of a co-design project with respect to idea generation, stakeholder involvement, and incorporation of stakeholder input into the intervention design, we demonstrated how co-design shaped the transition from ideas, via concepts, to a prototype for a relapse prevention intervention. Conclusions: Structural use of co-design throughout the project resulted in many different participating stakeholders and stimulating design activities. As a consequence, the majority of the components of the final prototype can be traced back to the information that stakeholders provided during the project. Although this illustrates how co-design facilitates the integration of contextual information into the intervention design, further experimental testing is required to evaluate to what extent this approach ultimately leads to improved usability as well as patient outcomes in the context of clinical practice.
Background: Many intervention development projects fail to bridge the gap from basic research to clinical practice. Instead of theory-based approaches to intervention development, co-design prioritizes the end users’ perspective as well as continuous collaboration between stakeholders, designers, and researchers throughout the project. This alternative approach to the development of interventions is expected to promote the adaptation to existing treatment activities and to be responsive to the requirements of end users. Objective: The first objective was to provide an overview of all activities that were employed during the course of a research project to develop a relapse prevention intervention for interdisciplinary pain treatment programs. The second objective was to examine how co-design may contribute to stakeholder involvement, generation of relevant insights and ideas, and incorporation of stakeholder input into the intervention design. Methods: We performed an embedded single case study and used the double diamond model to describe the process of intervention development. Using all available data sources, we also performed deductive content analysis to reflect on this process. Results: By critically reviewing the value and function of a co-design project with respect to idea generation, stakeholder involvement, and incorporation of stakeholder input into the intervention design, we demonstrated how co-design shaped the transition from ideas, via concepts, to a prototype for a relapse prevention intervention. Conclusions: Structural use of co-design throughout the project resulted in many different participating stakeholders and stimulating design activities. As a consequence, the majority of the components of the final prototype can be traced back to the information that stakeholders provided during the project. Although this illustrates how co-design facilitates the integration of contextual information into the intervention design, further experimental testing is required to evaluate to what extent this approach ultimately leads to improved usability as well as patient outcomes in the context of clinical practice.
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Low back pain is the leading cause of disability worldwide and a significant contributor to work incapacity. Although effective therapeutic options are scarce, exercises supervised by a physiotherapist have shown to be effective. However, the effects found in research studies tend to be small, likely due to the heterogeneous nature of patients' complaints and movement limitations. Personalized treatment is necessary as a 'one-size-fits-all' approach is not sufficient. High-tech solutions consisting of motions sensors supported by artificial intelligence will facilitate physiotherapists to achieve this goal. To date, physiotherapists use questionnaires and physical examinations, which provide subjective results and therefore limited support for treatment decisions. Objective measurement data obtained by motion sensors can help to determine abnormal movement patterns. This information may be crucial in evaluating the prognosis and designing the physiotherapy treatment plan. The proposed study is a small cohort study (n=30) that involves low back pain patients visiting a physiotherapist and performing simple movement tasks such as walking and repeated forward bending. The movements will be recorded using sensors that estimate orientation from accelerations, angular velocities and magnetometer data. Participants complete questionnaires about their pain and functioning before and after treatment. Artificial analysis techniques will be used to link the sensor and questionnaire data to identify clinically relevant subgroups based on movement patterns, and to determine if there are differences in prognosis between these subgroups that serve as a starting point of personalized treatments. This pilot study aims to investigate the potential benefits of using motion sensors to personalize the treatment of low back pain. It serves as a foundation for future research into the use of motion sensors in the treatment of low back pain and other musculoskeletal or neurological movement disorders.
Niet specifieke nekpijn (NSNP) vormt een groot probleem binnen de volwassen westerse bevolking. Deze aandoening is complex, invaliderend en kent een heterogene presentatie, waardoor NSNP moeilijk te behandelen is. Een brede beoordeling van de (complexe) klacht waarbij medische en psychosociale prognostische factoren een centrale rol spelen is essentieel om te kunnen beoordelen welke zorg het meest passend is. Dit verhoogd de doelmatigheid van zorg en verminderd de kans op onnodige zorg. Meer inzicht in heterogene patiëntengroepen door het bepalen van verschillende fenotypen kan nuttig zijn bij het ontwikkelen van gerichte interventies om het behandelresultaat te verbeteren. Psychologische en sociale factoren spelen een belangrijke rol bij het in standhouden van de ervaren pijn. De nieuwste wetenschappelijke inzichten en praktijkrichtlijnen adviseren dan ook met nadruk een biopsychosociale benadering bij patiënten met NSNP. Hoewel fysiotherapeuten hierin geschoold worden, ervaren zij nog wel regelmatig ongemak en uitdagingen bij het integreren van psychologische en sociale factoren in de diagnostiek en behandeling van deze patiëntengroep. Daarom rijst de vraag uit het werkveld: Hoe kunnen fysiotherapeuten in de eerstelijn beter in staat gesteld worden om bij mensen met nekpijn de complexiteit van de klachten in te schatten en behandelingen op maat aan te bieden en waar nodig samen te werken met een gespecialiseerde fysiotherapeut? Of is een andere discipline in de eerstelijnszorg noodzakelijk om multidisciplinair mee samen te werken? Om deze vraag te beantwoorden hebben wij een breed consortium samengesteld uit eerdere en nieuwe (MKB) partners. Het doel van dit onderzoek is om fysiotherapeuten handvatten te bieden voor het op maat (gepersonaliseerd) behandelen van patiënten met NSNP. Het onderzoek bestaat uit drie delen; (1)het fenotyperen op het gebied van psychosociale factoren in patiënten met (sub)acute NSNP, (2)het maken van een screeningstool om de fenotypen te identificeren en (3)het evalueren van een passende behandeling bij de verschillende fenotypen.
