ObjectiveMany patients with coronavirus disease 2019 (COVID-19) infections were admitted to an intensive care unit (ICU). Physical impairments are common after ICU stays and are associated with clinical and patient characteristics. To date, it is unknown if physical functioning and health status are comparable between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 3 months after ICU discharge. The primary objective of this study was to compare handgrip strength, physical functioning, and health status between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 3 months after ICU discharge. The second objective was to identify factors associated with physical functioning and health status in patients in the ICU with COVID-19. Methods In this observational, retrospective chart review study, handgrip strength (handheld dynamometer), physical functioning (Patient-Reported Outcomes Measurement Information System Physical Function), and health status (EuroQol 5 Dimension 5 Level) were compared between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 using linear regression. Multilinear regression analyses were used to investigate whether age, sex, body mass index, comorbidities in medical history (Charlson Comorbidity Index), and premorbid function illness (Identification of Seniors At Risk-Hospitalized Patients) were associated with these parameters in patients in the ICU with COVID-19. Results In total, 183 patients (N = 92 with COVID-19) were included. No significant between-group differences were found in handgrip strength, physical functioning, and health status 3 months after ICU discharge. The multilinear regression analyses showed a significant association between sex and physical functioning in the COVID-19 group, with better physical functioning in men compared with women. Conclusion Current findings suggest that handgrip strength, physical functioning, and health status are comparable for patients who were in the ICU with COVID-19 and patients who were in the ICU without COVID-19 3 months after ICU discharge. Impact Aftercare in primary or secondary care in the physical domain of postintensive care syndrome after ICU discharge in patients with COVID-19 and in patients without COVID-19 who had an ICU length of stay >48 hours is recommended. Lay Summary Patients who were in the ICU with and without COVID-19 had a lower physical status and health status than healthy people, thus requiring personalized physical rehabilitation. Outpatient aftercare is recommended for patients with an ICU length of stay >48 hours, and functional assessment is recommended 3 months after hospital discharge.
Background: During hospitalization patients frequently have a low level of physical activity, which is an important risk factor for functional decline. Function Focused Care (FFC) is an evidencebased intervention developed in the United States to prevent functional decline in older patients. Within FFC, nurses help older patients optimally participate in functional and physical activity during all care interactions. FFC was adapted to the Dutch Hospital setting, which led to Function Focused Care in Hospital (FFCiH). FFCiH consists of four components: (1) ‘Environmental and policy assessment’; (2) ‘Education’; (3) ‘Goal setting with the patient’ and (4) ‘Ongoing motivation and mentoring’. The feasibility of FFCiH in the Dutch hospital setting needs to be assessed. Objective: Introduce FFCiH into Dutch hospital wards, to assess the feasibility of FFCiH in terms of description of the intervention, implementation, mechanisms of impact, and context. Design: Mixed method design Setting(s): A Neurological and a Geriatric ward in a Dutch Hospital. Participants: 56 Nurses and nursing students working on these wards. Methods: The implementation process was described and the delivery was studied in terms of dose, fidelity, adaptions, and reach. The mechanisms of impact were studied by the perceived facilitators and barriers to the intervention. Qualitative data were collected via focus group interviews, observations, and field notes. Quantitative data were collected via evaluation forms and attendance/participation lists. Results: A detailed description of FFCiH in terms of what, how, when, and by whom was given. 54 Nurses (96.4%) on both wards attended at least 1 session of the education or participated in bedside teaching. The nurses assessed the content of the education sessions with a mean of 7.5 (SD 0.78) on a 0–10 scale. The patient files showed that different short and long-term goals were set. Several facilitators and barriers were identified, which led to additions to the intervention. An important facilitator was that nurses experienced FFCiH as an approach that fits with the principles underpinning their current working philosophy. The experienced barriers mainly concern the implementation elements of the FFCiH-components ‘Education’ and ‘Ongoing motivation and mentoring’. Optimizing the team involvement, improving nursing leadership during the implementation, and enhancing the involvement of patients and their family were activities added to FFCiH to improve future implementation. Conclusions: FFCiH is feasible for the Dutch hospital setting. Strong emphasis on team involvement, nursing leadership, and the involvement of patients and their families is recommended to optimize future implementation of FFCiH in Dutch hospitals.
Background: Generalized Joint Hypermobility (GJH) is regarded as the main diagnostic criterion for Hypermobility Syndrome and is assumed to be of importance for the development of musculoskeletal complaints and functional decline. However GJH is also highly prevalent amongst healthy individuals whereas its consequences for physical functioning are unclear. Therefore the objective of the study was to determine the association of GJH with physical functioning in healthy adolescents and young adults.Methods: 328 participants (mean age (sd): 20.2 (1.8), gender (male/female): 134/194) were included. In order to establish the effect of GJH, subjects with symptomatic forms of GJH were excluded, as were subjects with other conditions that could influence physical functioning. Age, gender, BMI, GJH, muscle strength and physical activity level (PAL) in METS were collected.Results: GJH was associated with reduced muscle strength for all muscle groups (p=<.05), controlled for age and BMI. Ranging from -0.7 to -1.0SD in females and -.3 to -1.3SD in males. GJH was found to be significantly associated with higher amounts of METS spent on cycling, ranging from +0.2 to +0.9SD in females (p=.002) and +0.3 to +0.9SD in males (p=.041), where lower amounts of METS spent on sports activities was observed, ranging from -0.4 to -1.2SD in females (p=.002) and -0.2 to -1.9SD in males (p=.004).Conclusion: Individuals with GJH have reduced muscle strength and tend to avoid dynamic activities and prefer more stable activities, like cycling. This may indicate that individuals with GJH adapt their behaviour to prevent musculoskeletal complaints and functional decline.
De inzet van blended care in de zorg neemt toe. Hierbij wordt fysieke begeleiding (face-to-face) met persoonlijke aandacht door een zorgprofessional afgewisseld met digitale zorg in de vorm van een platform of mobiele applicatie (eHealth). De digitale zorg versterkt de mogelijkheden van cliënten om in hun eigen omgeving te werken aan gezondheidsdoelen en handvatten tijdens de face-to-face momenten. Een specifieke groep die baat kan hebben bij blended care zijn ouderen die na revalidatie in de geriatrische revalidatiezorg (GRZ) thuis verder revalideren. Focus op zowel bewegen (door fysio- en oefentherapeut) en voedingsgedrag (door diëtist) is hierbij essentieel. Echter, na een intensieve zorgperiode tijdens hun opname wordt revalidatie veelal thuis afgeschaald en overgenomen door een ambulant begeleidingstraject of de eerste lijn. Een groot gedeelte van de ouderen ervaart een terugval in fysiek functioneren en zelfredzaamheid bij thuiskomt en heeft baat bij intensieve zorg omtrent voeding en beweging. Een blended interventie die gezond beweeg- en voedingsgedrag combineert biedt kansen. Hierbij is maatwerk voor deze kwetsbare ouderen vereist. Ambulante en eerste lijn diëtisten, fysio- en oefentherapeuten erkennen de meerwaarde van blended care maar missen handvatten en kennis over hoe blended-care ingezet kan worden bij kwetsbare ouderen. Het doel van het huidige project is ouderen én hun behandelaren te ondersteunen bij het optimaliseren van fysiek functioneren in de thuissituatie, door een blended voeding- en beweegprogramma te ontwikkelen en te testen in de praktijk. Ouderen, professionals en ICT-professionals worden betrokken in verschillende co-creatie sessies om gebruikersbehoefte, acceptatie en technische eisen te verkennen als mede inhoudelijke eisen zoals verhouding face-to-face en online. In samenspraak met gebruikers wordt de blended BITE-IT interventie ontwikkeld op basis van een bestaand platform, waarbij ook gekeken wordt naar het gebruik van bestaande en succesvolle applicaties. De BITE-IT interventie wordt uitgebreid getoetst op haalbaarheid en eerste effectiviteit in de praktijk.
With increasing penetration rates of driver assistance systems in road vehicles, powerful sensing and processing solutions enable further automation of on-road as well as off-road vehicles. In this maturing environment, SMEs are stepping in and education needs to align with this trend. By the input of student teams, HAN developed a first prototype robot platform to test automated vehicle technology in dynamic road scenarios that include VRUs (Vulnerable Road Users). These robot platforms can make complex manoeuvres while carrying dummies of typical VRUs, such as pedestrians and bicyclists. This is used to test the ability of automated vehicles to detect VRUs in realistic traffic scenarios and exhibit safe behaviour in environments that include VRUs, on public roads as well as in restricted areas. Commercially available VRU-robot platforms are conforming to standards, making them inflexible with respect to VRU-dummy design, and pricewise they are far out of reach for SMEs, education and research. CORDS-VTS aims to create a first, open version of an integrated solution to physically emulate traffic scenarios including VRUs. While analysing desired applications and scenarios, the consortium partners will define prioritized requirements (e.g. robot platform performance, dummy types and behaviour, desired software functionality, etc.). Multiple robots and dummies will be created and practically integrated and demonstrated in a multi-VRU scenario. The aim is to create a flexible, upgradeable solution, published fully in open source: The hardware (robot platform and dummies) will be published as well-documented DIY (do-it-yourself) projects and the accompanying software will be published as open-source projects. With the CORDS-VTS solution, SME companies, researchers and educators can test vehicle automation technology at a reachable price point and with the necessary flexibility, enabling higher innovation rates.
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.